Literature DB >> 33792051

Prognostic Factors and Treatment-Effect Modifiers in Spinal Muscular Atrophy.

Giovanni Baranello1,2, Ksenija Gorni3, Monica Daigl3, Anna Kotzeva3, Rachel Evans4, Neil Hawkins5, David A Scott4, Anadi Mahajan5, Francesco Muntoni1,6, Laurent Servais7,8.   

Abstract

Spinal muscular atrophy (SMA) is a rare, progressive neuromuscular disease characterized by loss of motor neurons and muscle atrophy. Untreated infants with type 1 SMA do not achieve major motor milestones, and death from respiratory failure typically occurs before 2 years of age. Individuals with types 2 and 3 SMA exhibit milder phenotypes and have better functional and survival outcomes. Herein, a systematic literature review was conducted to identify factors that influence the prognosis of types 1, 2, and 3 SMA. In untreated infants with type 1 SMA, absence of symptoms at birth, a later symptom onset, and a higher survival of motor neuron 2 (SMN2) copy number are all associated with increased survival. Disease duration, age at treatment initiation, and, to a lesser extent, baseline function were identified as potential treatment-modifying factors for survival, emphasizing that early treatment with disease-modifying therapies (DMT) is essential in type 1 SMA. In patients with types 2 and 3 SMA, factors considered prognostic of changes in motor function were SMN2 copy number, age, and ambulatory status. Individuals aged 6-15 years were particularly vulnerable to developing complications (scoliosis and progressive joint contractures) which negatively influence functional outcomes and may also affect the therapeutic response in patients. Age at the time of treatment initiation emerged as a treatment-effect modifier on the outcome of DMTs. Factors identified in this review should be considered prior to designing or analyzing studies in an SMA population, conducting population matching, or summarizing results from different studies on the treatments for SMA.
© 2021 F. Hoffmann-La Roche Ltd. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.

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Year:  2021        PMID: 33792051      PMCID: PMC9292571          DOI: 10.1002/cpt.2247

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.903


Spinal muscular atrophy (SMA) is a rare, progressive, genetic neuromuscular disease, characterized by loss of motor neurons, muscle atrophy, and weakness. SMA is caused by insufficient levels of the survival of motor neuron (SMN) protein due to deletion and/or mutations in the SMN1 gene located on chromosome 5q. , , A second, paralogous gene SMN2 also encodes SMN protein but, due to alternative splicing of SMN2 messenger RNA, only produces low levels of functional SMN protein that are insufficient to fully compensate for the lack of SMN1. SMN2 copy number is polymorphic in the population and higher copy numbers are reported to be inversely correlated with disease severity. , However, this correlation is not absolute, as protective SMN2 mutations and polymorphisms in other genes that could modify the disease course have also been described. SMA encompasses a broad spectrum of disease, classified into five clinical types: types 0, 1, 2, 3, and 4 SMA, defined by age of onset and highest motor milestone achieved, based on natural history. , Type 0 is rare and is the most severe form of SMA with a prenatal or neonatal onset. Type 1 SMA is the most common form, affecting roughly 58% of all individuals with SMA, while ~ 29% and 13% of individuals with SMA are of the type 2 or type 3 phenotype, respectively. Type 4, (adult‑onset SMA), is also rare (representing <5% of cases) and is the mildest form of the disease. Due to the rarity of type 0 and type 4 within the SMA population, this review will focus on types 1, 2, and 3 SMA. Infants with type 1 SMA frequently possess only two copies of SMN2. , Type 1 SMA is characterized by hypotonia and severe muscle weakness that becomes evident in the first 6 months of life. , , Untreated infants with type 1 SMA never achieve major motor milestones, have poor, if any, head control, and never sit independently. , , Swallowing is also compromised, with more than half of infants requiring feeding support at 8 months of age. Natural history studies have described a severely shortened lifespan for patients with two SMN2 copies, , with 68% of infants dying before the age of 2 years, and 82% before the age of 4 years. , Individuals with type 2 SMA generally have three copies of SMN2. , , Symptom onset typically occurs between 6 and 18 months of age. Individuals can sit unsupported, and some can stand with braces, but they will never achieve independent ambulation. , Type 2 SMA can be further stratified into two subgroups based on age at independent sitting: types 2a (>8 months of age) and 2b (≤8 months). Disease progression can vary greatly; however, nearly all individuals will develop scoliosis due to weakness of the axial muscles. Untreated children at the severe end of the spectrum often die in childhood or adolescence, while stronger patients survive into early adulthood. , Respiratory muscle weakness, affecting disproportionately the intercostal muscles, and poor bulbar function have traditionally been the common causes of death among patients with type 2 SMA. Individuals with type 3 SMA typically have three or four copies of the SMN2 gene, resulting in a milder disease course and normal life expectancy. Type 3 SMA is further categorized into two subgroups by age at onset of symptoms: types 3a (< 3 years) and 3b (≥ 3 years). There is broad heterogeneity in the symptoms exhibited: Some individuals will lose the ability to walk (most of the 3a patients) before adulthood, while others may experience only minor muscle weakness. Scoliosis is prevalent in individuals with type 3a SMA who lose the ability to walk in childhood, but it is less common in type 3b. Improvements in standard of care (SoC) guidelines , , and advances in respiratory and nutritional support have led to increased survival in patients with type 1 and type 2 SMA. Additionally, with the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) approvals of nusinersen (Spinraza), , onasemnogene abeparvovec‐xioi (Zolgensma) , and risdiplam (Evrysdi), , the pattern of disease progression in SMA is changing. As patients live longer, the natural history of SMA and the impact of these emerging treatments needs further examination. There is a gap in the literature regarding the synthesis of studies which evaluate factors that are prognostic of the natural history of SMA or are predictive of the efficacy of current treatments. Therefore, we conducted a systematic literature review (SLR) of published clinical trials and observational studies in order to identify potential treatment‐effect modifiers (factors that affect the efficacy of a given treatment) and prognostic factors (factors that affect the natural course of the disease) in patients with SMA.

Methods

Study identification

An SLR of randomized controlled trials (RCTs) and observational studies in types 1, 2, and 3 SMA was performed. Searches were conducted in Embase (Amsterdam, Netherlands) and MEDLINE databases using the embase.com interface from January 1, 2000 to April 30, 2019. Supplementary searches included a bibliographic search to identify key studies not retrieved from the structured searches and a health technology assessment documentation search to identify any relevant data for nusinersen and onasemnogene abeparvovec. The health technology assessment search included the assessment of the National Institute for Health and Care Excellence (NICE), the Scottish Medicines Consortium, the Pharmaceutical Benefits Advisory Committee, and the Canadian Agency for Drugs and Technologies in Health submissions for nusinersen. Key papers published after April 30, 2019 until the time of writing were included in the discussion to provide context to the results.

Selection of relevant studies

A search strategy (Table  ) was developed based on the population, interventions, comparison, outcomes, and study design (PICOS) framework. Searches were conducted for the broad SMA population and studies published in English including patients with type 1, 2, and 3 SMA were selected for inclusion in the SLR; this also includes a "mixed SMA type" population that featured types 1–3 SMA. Inclusion criteria included prospective cohort studies, retrospective cohort studies, RCTs, and single‐arm trials. Cross‐sectional studies, case series, case reports, and congress abstracts were excluded. A risk of bias (ROB) assessment was carried out on studies included in the analysis to evaluate their methodologic quality and the strength of resulting evidence. For RCTs, the ROB tool used was taken from the NICE single technology appraisal template, which has seven domains for assessment: random sequence generation, allocation concealment, comparability of groups, blinding, imbalance in dropouts, selective reporting, and incomplete reporting. For observational studies, the Quality in Prognosis Studies (QUIPS) tool was used. This was recommended in the latest systematic review guidance and comprises six bias domains: study participation, study attrition, prognostic factor measurement, outcome measurement, study confounding, and statistical analysis and reporting. The responses to each of the six domains were taken together to inform the judgment of ROB as high, moderate, or low. Observational studies were considered the most reliable if they met the criteria of at least three of six QUIPS domains scoring at a low ROB.

Evidence synthesis

Prognostic factors are measures that are associated with changes in prognosis in the natural course of the disease. Evidence of prognostic factors can be extracted from interventional and observational studies. Treatment‐effect modifiers are factors that are predictive of an improved response to a given therapy. A treatment‐effect modifier can be identified by comparing the effect of factors in treated vs. untreated populations. RCTs are most suitable to evaluate whether a factor is a treatment‐effect modifier, as they provide the strictest approach to determine a cause and effect relationship (e.g., a forest plot and test for interaction). , , A distinction was made between studies on populations treated with disease‐modifying therapies (DMTs), such as nusinersen, risdiplam and onasemnogene abeparvovec, and studies reporting on the natural course of the disease when patients receive supportive care only. Effect sizes and uncertainty estimates (standard error, confidence intervals (CIs) and/or P values) were extracted for qualitative evidence synthesis. A broad threshold for statistical significance (P < 0.2) was adopted to evaluate association between outcomes and prognostic/predictive factors. Evidence was classified as showing a prognostic/predictive effect (i.e., P < 0.2) or that there is no evidence of a prognostic/predictive effect (i.e., P ≥ 0.2). However, it should be noted that some studies only report whether associations are significant or not (typically using a P < 0.05 threshold). Synthesis included all the available evidence; however, studies with a low ROB were given more weight in the interpretation of the results than studies with higher ROB. Similarly, less weight was given to the study which reported data on olesoxime. This study failed to reach its primary end point, and no significant effects on motor and respiratory functions were observed in the open‐label extension study (A Study to Evaluate Long Term Safety, Tolerability, and Effectiveness of Olesoxime in Patients With Spinal Muscular Atrophy (SMA) (OLEOS)), resulting in the discontinuation of the study program. As olesoxime is no longer a possible treatment option for SMA, data from this study is reported for completeness but not discussed.

Results

Included studies

The preferred reporting items for systematic reviews and meta‐analyses diagram is shown in Figure  . A total of 1,483 database records were identified from the Embase and MEDLINE database searches for the broad SMA population. After removing duplicates, 1,450 records were screened by two reviewers for inclusion in the literature review; 1,359 records were excluded. One additional record was added from the supplementary searches. The remaining 92 records then underwent full‐text screening to assess for eligibility. Finally, 31 studies were identified for inclusion in this literature review (Table  ). Five studies reported on the effects of DMTs, and 26 studies reported on the natural course of the disease when patients received best supportive care (BSC) only. Three studies were RCTs, and 28 studies were observational studies, which included one indirect comparison analysis. Twelve studies reported data from type 1 SMA only, 7 studies reported data from individuals with types 2 and 3 SMA, and the remaining 12 reported data from patients in mixed SMA type populations that included all SMA types. Interventions received in these studies included nusinersen (n = 4), nusinersen vs. onasemnogene abeparvovec (n = 1), olesoxime (n = 1), tracheostomy (n = 1), noninvasive respiratory muscle aid (n = 1), valproic acid (VPA; n = 1), and unspecified (n = 23).
Table 1

Included studies

Author, year (reference)Study designSample sizeFollow‐up durationTreatmentAge, mean (range)CountryNICE/QUIPS ROB assessment
Studies in Type 1 SMA populationAragon‐Gawinska, 2018 67 POS336 mNusinersen21.3 m (8.3–113.1) a FranceLow
D’Amico, 2008 62 ROS38NRUnspecifiedNRItalyLow
Finkel, 2017 ENDEAR 53 RCT (Phase 3, DB)12213 mNusinersen vs. sham procedure

Nusinersen: 163 d (52–242) a

Placebo: 181 d (30–262) a

MultinationalLow
Pechmann, 2018 68 POS616 mNusinersen21.08 m (1–93) a GermanyLow
Dabbous, 2019 64 ITC92NROnasemnogene abeparvovec vs. nusinersen

Onasemnogene abeparvovec: 3.4 m (0.9–7. 9) a

Nusinersen: 5.3 m (1.7–7.9) a

MultinationalHigh
De Sanctis, 2018 69 ROS20NRUnspecifiedNRItalyHigh
Feldkoetter, 2002 6 ROS113NRUnspecifiedNRGermanyHigh
Finkel, 2014 18 POS7936 mUnspecified

Type 1b SMA (median): 2.5–184 m b

Type 1c SMA (median): 6–78 m b

USHigh
Gregoretti, 2013 63 ROS194NRTV vs. continuous NRANRItalyHigh
Kaneko, 2017 26 ROS47NRUnspecified7 m to 57 y b JapanHigh
Oskoui, 2007 58 POS14349.9 mUnspecifiedUSHigh
Rudnik‐Schoneborn, 2009 56 ROS66NRValproic acidNRGermanyHigh
Studies in Types 2 and 3 SMA populationBertini, 2017 49

RCT

(Phase 2, DB)

16524 mOlesoxime vs. placebo

Olesoxime: 9.1 y (SD: 5.5)

Placebo: 11.2 y (SD: 6.0)

MultinationalLow
Mercuri, 2018 CHERISH 52

RCT

(Phase 3, DB)

12615 mNusinersen vs. sham

Nusinersen: 4 y (range: 2–9)

Sham: 3 y (range: 2–7)

MultinationalLow
Mazzone, 2013 74 POS3812 mUnspecified14.07 y (SD: 12.43)Europe (6 countries)Low
Mercuri, 2016 73 ROS26812 mUnspecified

10.65 y

(range: 2.5–55.5)

US, Italy, UK, BelgiumLow
Montes, 2018 70 POS73108 mUnspecified

13.5 y

(SD: 12.4)

US, Italy, UKLow
Pera, 2019 71 POS11412 mUnspecified13.3 y (SD: 10.1)US, Italy, UKLow
Kaufmann, 2012 66 POS7925 mUnspecified11.3 y (SD: 9.4)USHigh

Studies in a mixed SMA population

(Types 1, 2 and 3 SMA)

Farrar, 2013 28 ROS70NRUnspecifiedNRAustraliaLow
Swoboda, 2005 65 POS89NRUnspecified

Type 1 SMA: 18.9 m (1.08–263) b

Type 2 SMA: 87.1 m (0.43–589) b

Type 3 SMA: 146.6 m (28.4–604.8) b

USLow
Qu, 2015 54 POS232NRUnspecifiedNRChinaLow
Vuillerot, 2013 72 ROS11221.6 mUnspecified

Type 2 SMA: 11.5 y (SD: 5)

Type 3 SMA: 18.7 y (SD: 12.3)

France, Belgium, SwitzerlandLow
Belter, 2018 59 ROS1966NRUnspecifiedNRUSHigh
Bladen, 2014 17 ROS5068NRUnspecifiedNRNorth America, Australasia, EuropeHigh
Chung, 2004 30 POS83NRUnspecified

Type 2 SMA: 0.96 y (SD: 0.58)

Type 3a SMA: 1.31 y (SD: 0.62)

Type 3b SMA: 6.93 y (SD: 8.03)

Hong KongHigh
Ge, 2012 57 ROS2376 mUnspecified

Type 1 SMA: 5.3 y (SD: 4.7) b

Type 2 SMA: 12.8 y (SD: 10.0) b

Type 3 SMA: 32.8 y (SD: 27.7) b

ChinaHigh
Madrid Rodríguez, 2015 60 ROS37NRUnspecifiedNRSpainHigh
Mannaa, 2009 61 ROS40NRUnspecifiedNRUSHigh
Petit, 2011 55 ROS103NRUnspecifiedNRFranceHigh
Yuan, 2015 98 ROS13249 mUnspecified

Type 1 SMA: 7.8 y (SD: 5.7) b

Type 2 SMA: 36.2 y (SD: 23.0) b

Type 3 SMA: 110.3 y (SD: 63.2) b

ChinaHigh

All studies included in the systemic review. Studies were divided into Type 1 and Types 2 and 3 SMA populations and mixed SMA populations that reported on patients with Types 1, 2 and 3 SMA.

d, days; DB, double‐blind; ITC, indirect treatment comparison; m, months; NICE, National Institute of Health and Care Excellence; NR, not reported; NRA, non‐invasive respiratory muscle aid; POS, prospective observational study; QUIPS, Quality in Prognosis Studies; RCT, randomized controlled trial; ROB, risk of bias; ROS, retrospective observational study; SMA, spinal muscular atrophy; SD, standard deviation; TV, tracheostomy and invasive mechanical ventilation; y, years.

Age at treatment initiation.

Age at enrollment/first visit.

Included studies Nusinersen: 163 d (52–242) Placebo: 181 d (30–262) Onasemnogene abeparvovec: 3.4 m (0.9–7. 9) Nusinersen: 5.3 m (1.7–7.9) Type 1b SMA (median): 2.5–184 m Type 1c SMA (median): 6–78 m RCT (Phase 2, DB) Olesoxime: 9.1 y (SD: 5.5) Placebo: 11.2 y (SD: 6.0) RCT (Phase 3, DB) Nusinersen: 4 y (range: 2–9) Sham: 3 y (range: 2–7) 10.65 y (range: 2.5–55.5) 13.5 y (SD: 12.4) Studies in a mixed SMA population (Types 1, 2 and 3 SMA) Type 1 SMA: 18.9 m (1.08–263) Type 2 SMA: 87.1 m (0.43–589) Type 3 SMA: 146.6 m (28.4–604.8) Type 2 SMA: 11.5 y (SD: 5) Type 3 SMA: 18.7 y (SD: 12.3) Type 2 SMA: 0.96 y (SD: 0.58) Type 3a SMA: 1.31 y (SD: 0.62) Type 3b SMA: 6.93 y (SD: 8.03) Type 1 SMA: 5.3 y (SD: 4.7) Type 2 SMA: 12.8 y (SD: 10.0) Type 3 SMA: 32.8 y (SD: 27.7) Type 1 SMA: 7.8 y (SD: 5.7) Type 2 SMA: 36.2 y (SD: 23.0) Type 3 SMA: 110.3 y (SD: 63.2) All studies included in the systemic review. Studies were divided into Type 1 and Types 2 and 3 SMA populations and mixed SMA populations that reported on patients with Types 1, 2 and 3 SMA. d, days; DB, double‐blind; ITC, indirect treatment comparison; m, months; NICE, National Institute of Health and Care Excellence; NR, not reported; NRA, non‐invasive respiratory muscle aid; POS, prospective observational study; QUIPS, Quality in Prognosis Studies; RCT, randomized controlled trial; ROB, risk of bias; ROS, retrospective observational study; SMA, spinal muscular atrophy; SD, standard deviation; TV, tracheostomy and invasive mechanical ventilation; y, years. Age at treatment initiation. Age at enrollment/first visit.

ROB in included studies

An overview of ROB scoring for included studies is shown in Table  , and the full ROB assessment is provided in Table  . The three RCTs identified through the literature search were determined to be at low ROB, with the nusinersen (A Study to Assess the Efficacy and Safety of Nusinersen (ISIS 396443) in Participants With Later‐onset Spinal Muscular Atrophy (SMA) (CHERISH)) and olesoxime studies in types 2 and 3 SMA being identified as low bias across all seven NICE domains, and the nusinersen study (A Study to Assess the Efficacy and Safety of Nusinersen (ISIS 396443) in Infants With Spinal Muscular Atrophy (ENDEAR)) in type 1 SMA at low ROB in six of the seven domains. Eleven observational studies were considered to be at a low ROB (Table  ). The remaining 17 observational studies were judged to be of a lower methodologic quality due to having more than three QUIPS domains at high or moderate ROB (Table  ). The quality of these studies should be considered when interpreting the findings. Evidence from low‐ROB studies can be found in the main manuscript (Tables  , , ), and evidence from high‐ROB studies can be found in the (Tables  –S6) accompanying this manuscript.
Table 2

Factors and their association with survival reported in low‐ROB studies

FactorStudyTreatmentSubgroup N OutcomeMedian survival in months (95% CI) unless otherwise specifiedHR (95% CI) unless otherwise specifiedStatistical significance between subgroup (P‐value)
Genotype SMN2 copies (M)Qu, 2015 54 Unspecified2 copies66Survival6 (mean: 12.4; 7.5–17.3)OR: 186 (19.08, 1812.68)<0.0001
3 copies153NA (mean: 184; 172–196)OR: 1.02 (0.12, 8.54)>0.05
4 copies13NA (mean: 226; 186–266)Reference
NAIP copies (E)Qu, 2015 54 Unspecified0 copies28Survival6 (NR)NRNR
1 copy6613 (NR)
2 copies1253 (NR)
NAIP copies (M)Unspecified0 copies35Survival7 (mean: 34; 20–48)OR: 19.16 a (6.23, 58.93)<0.0001
1 copy145NA (mean: 132; 113–151)OR: 3.34 a (1.33, 8.93)<0.0001
2 copies52NA (mean: 219; 197–241)Reference
Disease severity/symptomsAge at symptom onset (E)Farrar, 2013 28 UnspecifiedPrenatal7Survival6 (NR)NR0.002
1 month46.5 (NR)
2 months18 (NR)
3 months139 (NR)
4 months335 (NR)
5 months340 (NR)
SMA type (M)Farrar, 2013 28 UnspecifiedType 120Survival7.4 (3; 56)NRNR
Type 231NA (NR)
Type 319NA (NR)
Symptoms (E)D’Amico, 2008 62 NoneNeonatal neurologic symptomsAbsence17SurvivalNRReference0.065
Presence21NR2.11 (0.95, 4.69)
Head/trunk controlAbsence27NRReference<0.0001
Presence11NR0.11 (0.03, 0.32)
Respiratory distress at birthNo33NRReference0.046
Yes5NR4.1 (1.02, 16.4)
Reduced fetal movementsNo28NRReference0.895
Yes10NR1.07 (0.39, 2.97)
Care‐related factorsNusinersen (E)Finkel, 2017 ENDEAR 53 Nusinersen vs. sham procedureNusinersen80EFS b 61%0.53 (0.32, 0.89)0.005
Sham control4132%Reference
Nusinersen80EFS c 61%0.53 (0.32, 0.89)NR
Sham control4132%Reference
NusinersenNREFS d NR0.70 (0.30, 1.60)NR
Sham controlNRNRReference
Nusinersen80EFS e NR0.53 (0.31, 0.90)NR
Sham control41NRReference
Nusinersen80OS84%0.37 (0.18, 0.77)0.004
Sham control4161%Reference
Nusinersen80No permanent ventilation78%0.66 (0.32, 1.37)0.13
Sham control4168%Reference
Disease duration (E)Finkel, 2017 ENDEAR 53 NusinersenBelow median (≤13.1 w) at screeningNusinersen39EFS c NA0.24 (0.1, 0.58)<0.001
Sham control2125.4 wReference
Above median (>13.1 w) at screeningNusinersen41EFS c 27.4 w0.84 (0.43, 1.67)0.4
Sham control2019 wReference
DemographicsGender (E)D’Amico, 2008 62 UnspecifiedMale23SurvivalNRReference0.777
Female15NR1.12 (0.52, 2.37)

CI, confidence interval; E, early‐onset (Type 1) population; EFS, event‐free survival; HR, hazard ratio; M, mixed SMA type population; NA, not available; NAIP, NLR Family Apoptosis Inhibitory Protein; NR, not reported; OR, odds ratio; OS, overall survival; ROB, risk of bias; SMA, spinal muscular atrophy; SMN2, survival of motor neuron 2; w, weeks.

OR for mortality.

Defined as time to death or the use of permanent assisted ventilation (tracheostomy or ventilatory support for ≥16 hours per day for >21 continuous days in the absence of an acute reversible event).

From a Cox regression adjusted for each infant’s disease duration at screening.

EFS was re‐evaluated in the subset of infants who received at least the first four doses of nusinersen or sham procedure and had baseline and at least Day 183 efficacy assessments with no significant protocol deviations.

In this analysis, infants who had been previously classified as on permanent ventilation, but who were found at the end of study to be using ventilation for <16 hours per day, were reclassified as not being on permanent ventilation.

Table 3

Genotype factors and their association with motor function in low‐ROB studies

FactorStudy/ROBTreatmentSubgroup N OutcomeMedian change in score (range) unless otherwise specifiedStatistical significance between subgroups (P‐value)
SMN2 copy number (E)Aragon‐Gawinska, 2018 67 Nusinersen2 copies14HINE‐2 (6 months f/u)1.5 (–1, 4)>0.05
3 copies161.5 (0, 9)
2 copies12CHOP‐INTEND (6 months f/u)3.5 (–2, 11)>0.05
3 copies104 (–2, 14)
Pechmann, 2018 68 Nusinersen≤2 copies38CHOP‐INTEND (6 months f/u)Mean: 8.1 (SD: 7.0)>0.01
≥3 copies20Mean: 8.2 (SD: 5.3)
SMN2 copy number (M)Swoboda, 2005 65 Unspecified1 copy1Functional status: Unable to sit0%<0.001
2 copies2255%
3 copies4117%
4 copies1414%
5 copies30%
1 copy1Functional status: Sits unsupported0%
2 copies224%
3 copies4168%
4 copies1479%
5 copies333%
1 copy1Functional status: Walks/cruises0%
2 copies220%
3 copies4115%
4 copies147%
5 copies367%
SMN2 copy number (L)Mercuri, 2018 CHERISH 52 Nusinersen2 copiesNusinersen9Change from baseline in HFMSE score to Month 153.35.6 a NR
Sham−2.3
3 copiesNusinersen874.14.4 a
Sham−0.3
4 copiesNusinersen25.015 a
Sham−10.0
UnknownNusinersen22.0NC
ShamNC

CHOP‐INTEND, Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders; E, early‐onset (Type 1 population); f/u, follow‐up; HFMSE, Hammersmith Functional Motor Scale – Expanded; HINE‐2, Hammersmith Infant Neurological Examination, Section 2; L, later‐onset (Types 2/3) population; M, mixed SMA type population; NC, not calculated; NR, not reported; ROB, risk of bias; SD, standard deviation; SMN2, survival of motor neuron 2.

Treatment difference.

Table 4

Disease severity/symptom factors and their association with motor function in low‐ROB studies

FactorStudyTreatmentSubgroup N OutcomeMean change (95% CI) unless otherwise specifiedStatistical significance between subgroups (P‐value)
Disease severity (L)Bertini, 2017 49 Olesoxime vs. placebo< median MFM D1+D2 score at baseline79MFM D1+D2 24 m change Olesoxime vs. placebo diff2.97 (−0.36, 6.31) a NR
≥ median MFM D1+D2 score at baseline811.25 (−1.64, 4.15) a
SMA type (L)Bertini, 2017 49 Olesoxime vs. placeboType 2113

MFM D1+D2

24 m change Olesoxime vs. placebo diff

2.06 (–0.78, 4.90) a NR
Type 3472.06 (–0.83, 4.94) a
Type 2113

HFMS

24 m change Olesoxime vs. placebo diff

0.89 (−0.51, 2.29) a NR
Type 3470.72 (−1.72, 3.16) a
SMA subtype (L)Montes, 2018 70 UnspecifiedType 3a526MWD mean 12 m change−8.5 meters (−15.2, −1.7)0.78
Type 3b21−6.6 meters (−17.7, 4.4)
Pera, 2019 71 UnspecifiedType 260

RULM

12 m change

−0.45 (2.9)0.91
Type 3 (non‐ambulant)22−0.23 (2.7)
Type 3 (ambulant)32−0.34 (3.0)
Ambulatory status (L)Mazzone, 2013 74 UnspecifiedPearson r correlation38Change in 6MWD over 12 m0.190.30
Ambulatory status (L)Mercuri, 2016 73 UnspecifiedYes268HFMSE0.83 (NR)0.029
No10−0.84 (NR)

6MWD, 6‐minute walk distance; CI, confidence interval; D, domain; diff, difference; HFMS, Hammersmith Functional Motor Scale; diff, difference; HFMSE, Hammersmith Functional Motor Scale – Expanded; L, later‐onset SMA (Types 2/3) population; m, months; MFM, Motor Function Measure; NR, not reported; ROB, risk of bias; RULM, Revised Upper Limb Module; SMA, spinal muscular atrophy; y, years.

Results are from a mixed‐effects repeated measure model.

Factors and their association with survival reported in low‐ROB studies CI, confidence interval; E, early‐onset (Type 1) population; EFS, event‐free survival; HR, hazard ratio; M, mixed SMA type population; NA, not available; NAIP, NLR Family Apoptosis Inhibitory Protein; NR, not reported; OR, odds ratio; OS, overall survival; ROB, risk of bias; SMA, spinal muscular atrophy; SMN2, survival of motor neuron 2; w, weeks. OR for mortality. Defined as time to death or the use of permanent assisted ventilation (tracheostomy or ventilatory support for ≥16 hours per day for >21 continuous days in the absence of an acute reversible event). From a Cox regression adjusted for each infant’s disease duration at screening. EFS was re‐evaluated in the subset of infants who received at least the first four doses of nusinersen or sham procedure and had baseline and at least Day 183 efficacy assessments with no significant protocol deviations. In this analysis, infants who had been previously classified as on permanent ventilation, but who were found at the end of study to be using ventilation for <16 hours per day, were reclassified as not being on permanent ventilation. Genotype factors and their association with motor function in low‐ROB studies CHOP‐INTEND, Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders; E, early‐onset (Type 1 population); f/u, follow‐up; HFMSE, Hammersmith Functional Motor Scale – Expanded; HINE‐2, Hammersmith Infant Neurological Examination, Section 2; L, later‐onset (Types 2/3) population; M, mixed SMA type population; NC, not calculated; NR, not reported; ROB, risk of bias; SD, standard deviation; SMN2, survival of motor neuron 2. Treatment difference. Disease severity/symptom factors and their association with motor function in low‐ROB studies MFM D1+D2 24 m change Olesoxime vs. placebo diff HFMS 24 m change Olesoxime vs. placebo diff RULM 12 m change 6MWD, 6‐minute walk distance; CI, confidence interval; D, domain; diff, difference; HFMS, Hammersmith Functional Motor Scale; diff, difference; HFMSE, Hammersmith Functional Motor Scale – Expanded; L, later‐onset SMA (Types 2/3) population; m, months; MFM, Motor Function Measure; NR, not reported; ROB, risk of bias; RULM, Revised Upper Limb Module; SMA, spinal muscular atrophy; y, years. Results are from a mixed‐effects repeated measure model.

Factors that affect survival

Factors and their association with survival outcomes are reported in Table  (low ROB) and Table  (high ROB).

Genotype

The literature on genotype factors focuses on two genes: SMN2 and NLR Family Apoptosis Inhibitory Protein (NAIP). The prognostic effect of SMN2 copy number on survival was assessed in one low‐ROB natural history study in a mixed SMA type population. A positive association was reported between survival and higher SMN2 copy numbers: Two SMN2 copies were associated with a median survival of 6 months, whereas three or four SMN2 copies were associated with longer survival (Table  ). One high‐ROB natural history study in a mixed population reported consistent findings and a hazard ratio (HR) of 0.179 (P < 0.05) for increased numbers of SMN2 copies when comparing survival data from patients with one, two, three, and four/five copies of SMN2 (Table  ). Results from high‐ROB studies that investigated the effect of SMN2 copy number on survival in untreated infants with type 1 SMA were also consistent with the studies above, with higher copy number being associated with increased survival (Table  ). , , The SLR did not find any studies that assess whether SMN2 copy number has any predictive effect on survival outcomes in treated patients: In fact, all studies that evaluated the effect of a DMT in type 1 SMA enrolled infants with two copies of SMN2 only. The presence of the NAIP gene was also associated with increased median survival in infants with type 1 SMA in the same low‐ROB study that evaluated the effect of SMN2 copy number, with 6, 13, and 53 months median survival observed in infants with no copies, one copy, and two copies of NAIP, respectively (Table  ). However, statistical significance between subgroups was not tested. The authors also considered a mixed SMA type population and found lower NAIP copy numbers (0 vs. 2 copies and 1 vs. 2 copies) to be associated with greater mortality (0 vs. 2 copies: odds ratio for mortality 19.16; 1 vs. 2 copies: odds ratio for mortality 3.34, both at P < 0.0001). Similar to SMN2 copy number, the SLR did not find any studies evaluating the predictive value of the NAIP gene on survival outcomes following treatment with DMTs.

Disease severity/symptoms

One low‐ROB natural history study in type 1 SMA found an association between age of symptom onset and survival, reporting prolonged survival in infants with a later onset of disease: When prenatal symptom onset was compared with an onset of symptoms at 1, 2, 3, 4, and 5 months of age, it was observed that median survival time increased from 6 months when symptoms were present at birth, up to 40 months when symptom onset occurred at 5 months (P = 0.002; Table  ). Results from three additional high‐ROB studies , , were consistent with these findings, with one study estimating the reduction in the risk of death for every additional month that infants are without symptoms to be as high as 40% (HR = 0.6; P < 0.001, Table  ). The prognostic effect of SMA type on survival outcomes was evaluated in one low‐ROB natural history study in a mixed population, reporting reduced survival in type 1 SMA (Table  ). Consistent observations were reported in six high‐ROB studies (Table  ), , , , , , with the shortened median survival for patients with type 1 SMA varying between 5 months and 13.6 months. However, there was no evidence that SMA subtype is a prognostic factor in type 1 SMA: A high‐ROB study, conducted in a small population, observed similar trends in median survival across subtypes 1b and 1c. One low‐ROB study reported that symptoms such as poor motor function and respiratory function at baseline were associated with poorer survival outcomes in untreated infants with type 1 SMA. Infants with signs of the disease in the neonatal period (HR = 2.11 (95% CI: 0.95, 4.69); P = 0.065), respiratory distress at birth (HR = 4.10 (95% CI: 1.02, 16.40); P = 0.046), and reduced fetal movements (HR = 1.07 (95% CI: 0.39, 2.97); P = 0.895) were found to have reduced survival, even if associations were not always significant. Likewise, the achievement of early motor milestones was found to be a positive prognostic factor for survival in type 1 SMA, with head/trunk control being associated with longer survival compared with infants who did not achieve this milestone (HR = 0.11 (95% CI: 0.03, 0.32); P < 0.0001; Table  ). Similarly, the involvement of brain stem motor neurons (determined by the presence of facial weakness or feeding/swallowing difficulties or tongue/speech symptoms) was found to be associated with poorer survival outcomes in a single high‐ROB study (Table  ).

Care‐related factors

In the ENDEAR RCT, infants who received nusinersen were significantly more likely to be alive without the need for permanent ventilation at the end of the study than those treated with placebo (Table  ; HR = 0.53, 95% CI: 0.32, 0.89; P = 0.005), providing evidence that treatment with a DMT such as nusinersen is associated with improved outcomes in type 1 SMA. The study also compared the effect of treatment in infants with a disease duration above and below the median of 13.1 weeks at time of initiation of treatment. Event‐free survival was significantly improved (HR = 0.24 (95% CI: 0.1, 0.58); P < 0.001) for patients who received nusinersen compared with sham control in patients with a shorter disease duration. Conversely, there was no evidence (HR = 0.84 (95% CI: 0.43, 1.67); P = 0.4) of a treatment effect in infants having a disease duration above 13.1 weeks at screening. The P value for the interaction term (test for effect modification) was not reported, but the data seem to suggest that disease duration has a significant modifying effect on the efficacy of nusinersen. Since the publication of SoC guidelines in 2007, there have been significant advances in BSC for SMA, with an increased drive in the use of respiratory and nutritional support. Several high‐ROB observational studies documented the positive effect of clinical supportive care on survival (Table  ). , , Two high‐ROB studies found an association between treatment with VPA or onasemnogene abeparvovec and survival (Table  ). ,

Demographic factors

One low‐ROB natural history study did not find any difference in survival between female and male patients with type 1 SMA (Table  ), whereas some high‐ROB studies found some associations between gender and survival outcome (Table  ). , , ,

Factors that affect motor function

Factors and their associations with motor function are reported in Tables  , , , (low‐ROB studies) and Tables  –S7 (high‐ROB).
Table 5

Care‐related factors and their association with motor function in SMA in low‐ROB studies

FactorStudyTreatmentSubgroup N OutcomeMean change (95% CI) unless otherwise specifiedEffect size, between subgroups (95% CI)

Statistical significance between subgroups

(P‐value)

Treatment

(E)

Finkel, 2017 ENDEAR 53 Nusinersen vs. sham controlNusinersen51Motor milestone response a 41%NR<0.001
Sham control270%
Nusinersen51Motor milestone response b 43%NR<0.001
Sham control270%
Nusinersen51Motor milestone response c 37NR<0.001
Sham control270%
Nusinersen52Motor milestone response d 40%NR<0.001
Sham control300%
Nusinersen52Motor milestone response e 37%NR<0.002
Sham control300%
Nusinersen73Motor milestone response a 51%NRNR
Sham control370%

Treatment

(L)

Bertini, 2017 49

Olesoxime

Olesoxime103MFM D1+D2 change at Month 240.18 (–1.30, 1.66)NR0.068
Placebo57–1.82 (–3.68, 0.04)
Mercuri, 2018 CHERISH 52 Nusinersen vs. sham controlNusinersen84HFMSE change at Month 153.9 (3.0, 4.9 f NRNR
Sham control42–1.0 (–2.5, 0.5) f
Nusinersen84HFMSE responder at Month 15 g 57%NR<0.001
Sham control4226%

Age at treatment initiation

(E)

Pechmann, 2018 68 Nusinersen≤7 months17CHOP‐INTEND+14.4 (SD: 9.2)NRNR
>7 months44+7.0 (SD: 6.6)NRNR
Effect of 1‐month delay61CHOP‐INTENDNR−0.146 (−0.227, −0.006)0.0006

Age at treatment initiation

(L)

Bertini, 2017 49 OlesoximeOlesoxime vs. placebo160

MFM D1+D2

24 m change continuous covariate

NRNR0.25
3–<6 yOlesoxime35MFM D1+D2 24 m change+0.76 h NR0.75
Placebo13+0.01 h
6–15 yOlesoxime54+0.70 h NR0.036
Placebo25−2.91 h
>15 yOlesoxime14−0.65 h NR0.96
Placebo19−0.63 h
<6 y48

MFM D1+D2 24 m change

Olesoxime vs. placebo diff

0.75 (–3.86, 5.35)
≥6 y1122.21 (0.21, 4.62)
<6 y48

HFMS

24 m change Olesoxime vs. placebo diff

1.54 (–1.25, 4.33)
≥6 y1120.68 (–0.71, 2.06)

CHOP‐INTEND, Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders; CI, confidence interval; D, domain; diff, difference; E, early‐onset (Type 1) SMA population; diff, difference; HFMS, Hammersmith Functional Motor Scale; HFMSE, Hammersmith Functional Motor Scale – Expanded; HINE‐2, Hammersmith Infant Neurological Examination, Section 2; L, later‐onset (Types 2/3) SMA population; m, months; MFM, Motor Function Measure; NR, not reported; ROB, risk of bias; SD, standard deviation; SMA, spinal muscular atrophy; y, years.

Infants were considered to have a motor milestone response if they met the following two criteria: improvement in ≥1 category of the HINE‐2 (i.e., an increase in the score for head control, rolling, sitting, crawling, standing, or walking of ≥1 point; an increase in the score for kicking of ≥2 points; or achievement of the maximal score for kicking) and more categories with improvement than categories with worsening.

Defined as the same as aregarding the degree of improvement and worsening, but the second part of the definition required infants to acquire ≥1 milestone overall compared with baseline instead of requiring more categories with improvement than worsening.

Defined as a 2‐point increase in motor milestone score from baseline.

Same as a, but includes all patients (i.e., including deaths and withdrawals).

Same as b, but includes all patients (i.e., including deaths and withdrawals).

Least squares mean change from baseline in HFMSE score after 15 months of treatment.

A HFMSE response is defined as an increase from baseline in the HFMSE score of ≥3 points.

Extracted from figure 3 in Bertini et al.

Table 6

Demographic factors and their association with motor function in low‐ROB studies

FactorStudyTreatmentSubgroup N Outcome

Mean change

(95% CI) unless otherwise specified

Statistical significance between subgroups

(P‐value)

Age (L)Mazzone, 2013 74 UnspecifiedNR386MWD at 12 m

Pearson r correlation

r = 0.04

0.80
Mercuri, 2016 73 Unspecified<5 y200HFMSE 12 m change (Non‐ambulant Type 2)0.04 (0.34)0.048
5–14 y−0.96 (0.24)
≥15 y−0.35 (0.43)
<5 y68HFMSE 12 m change (Ambulant Type 3)0.560.34
5–14 y−0.61
≥15 y−1.2
Age class (assumed <5 vs. 5–14 vs. ≥15 y)NRHFMSE 12 m change (Type 3a)NR0.067
Age class (assumed <5 vs. 5–14 vs. ≥15 y)NRHFMSE 12 m change (Type 3b)NR0.80
Montes, 2018 70 Unspecified<6 vs. 6–10 y24; 24

6MWD

Difference in rate of change at 12 m

−17.7 (−34.1, −1.4)0.03
<6 vs. 11–19 y24; 10−30.7 (−48.6, −12.7)0.0009
<6 vs. ≥20 y24; 15−19.6 (−38, −1.1)0.04
6–10 vs. 11–19 y24; 10−12.9 (−22.4, −3.4)0.008
6–10  vs. ≥20 y24; 15−1.8 (−13.8, 10.2)0.77
11–19 vs. ≥ 20 y10; 1511.1 (−2.5, 24.7)0.11
<6 y24

6MWD

Rate of change at 12 m

9.8 (−6.2, 25.9)0.23
6–10 y24−7.9 (–15.72, –0.1)0.05
11–19 y10−20.8 (−31.1, –10.6)<0.0001
≥20 y15−9.7 (–19.3, –0.1)0.05
Pera, 2019 71 Unspecified<5 y

114

RULM 12 m change (Type 2/3)1.2 (4.7)NR
5−9 y−0.3 (2.4)
10–14 y−1.1 (2.6)
≥15 y−0.6 (2.3)
<5 y60RULM 12 m change (Type 2)0.9 (4.2)0.21
5–9 y−0.9 (2.9)
10–14 y−1.5 (2.9)
≥15 y0.2 (1.8)
<5 y22RULM 12 m change (Non‐ambulant Type 3)NA0.22
5–9 y1.0 (2.4)
10–14 y−0.2 (2.9)
≥15 y−1.7 (2.4)
<5 y32RULM 12 m change (Ambulant Type 3)1.8 (5.8)0.79
5–9 y−0.2 (1.0)
10–14 y−1.4 (2.5)
≥15 y−1.4 (2.7)
Gender (L)Bertini, 2017 49 OlesoximeMale80HFMS 24 m change Olesoxime vs. placebo diff1.5 (–0.32, 3.33)NR
Female0.72 (–1.02, 2.47)
Male80MFM D1+D2 24 m change Olesoxime vs. placebo diff0.6 (–2.51, 3.70)NR
Female3.05 (–0.11, 6.21)
Montes, 2018 70 UnspecifiedFemale736MWD−5.9 (NR)0.51
Male−10 (NR)
Geographic location (L)Mercuri, 2018 CHERISH 52 NusinersenNorth America64LSM change from baseline in HFMSE score at Month 15 between nusinersen vs. sham5.9 (3.4, 8.3)NR
Europe325.6 (3.1, 8.0)
Asia‐Pacific4NR
North America64≥3‐point change in HFMSE (%) at Month 15 between nusinersen vs. sham34.33 (8.45, 57.71)NR
Europe3229.87 (−8.18, 60.90)
Asia‐Pacific450.00 (−61.18, 98.74)

6MWD, 6‐minute walk distance; CI, confidence interval; D, domain; diff, difference; HFMS, Hammersmith Functional Motor Scale; HFMSE, Hammersmith Functional Motor Scale – Expanded; L, later‐onset (Types 2/3) SMA population; LSM, least‐squares mean; m, months; MFM, Motor Function Measure; NR, not reported; ROB, risk of bias; RULM, Revised Upper Limb Module; SD, standard deviation; y, years.

Care‐related factors and their association with motor function in SMA in low‐ROB studies Statistical significance between subgroups (P‐value) Treatment (E) Treatment (L) Olesoxime Age at treatment initiation (E) Age at treatment initiation (L) MFM D1+D2 24 m change continuous covariate MFM D1+D2 24 m change Olesoxime vs. placebo diff HFMS 24 m change Olesoxime vs. placebo diff CHOP‐INTEND, Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders; CI, confidence interval; D, domain; diff, difference; E, early‐onset (Type 1) SMA population; diff, difference; HFMS, Hammersmith Functional Motor Scale; HFMSE, Hammersmith Functional Motor Scale – Expanded; HINE‐2, Hammersmith Infant Neurological Examination, Section 2; L, later‐onset (Types 2/3) SMA population; m, months; MFM, Motor Function Measure; NR, not reported; ROB, risk of bias; SD, standard deviation; SMA, spinal muscular atrophy; y, years. Infants were considered to have a motor milestone response if they met the following two criteria: improvement in ≥1 category of the HINE‐2 (i.e., an increase in the score for head control, rolling, sitting, crawling, standing, or walking of ≥1 point; an increase in the score for kicking of ≥2 points; or achievement of the maximal score for kicking) and more categories with improvement than categories with worsening. Defined as the same as aregarding the degree of improvement and worsening, but the second part of the definition required infants to acquire ≥1 milestone overall compared with baseline instead of requiring more categories with improvement than worsening. Defined as a 2‐point increase in motor milestone score from baseline. Same as a, but includes all patients (i.e., including deaths and withdrawals). Same as b, but includes all patients (i.e., including deaths and withdrawals). Least squares mean change from baseline in HFMSE score after 15 months of treatment. A HFMSE response is defined as an increase from baseline in the HFMSE score of ≥3 points. Extracted from figure 3 in Bertini et al. Demographic factors and their association with motor function in low‐ROB studies Mean change (95% CI) unless otherwise specified Statistical significance between subgroups (P‐value) Pearson r correlation r = 0.04 6MWD Difference in rate of change at 12 m 6MWD Rate of change at 12 m 114 6MWD, 6‐minute walk distance; CI, confidence interval; D, domain; diff, difference; HFMS, Hammersmith Functional Motor Scale; HFMSE, Hammersmith Functional Motor Scale – Expanded; L, later‐onset (Types 2/3) SMA population; LSM, least‐squares mean; m, months; MFM, Motor Function Measure; NR, not reported; ROB, risk of bias; RULM, Revised Upper Limb Module; SD, standard deviation; y, years. This SLR did not find any studies reporting on the effect of SMN2 copy number on motor function in the natural history of type 1 SMA. In a mixed SMA type natural history population (types 1, 2, and 3 SMA), SMN2 copy number was found to be a prognostic factor associated with improved functional status (P < 0.001), with a greater proportion of infants with higher SMN2 copy numbers able to sit unassisted or cruise/walk (Table  ). SMN2 copy number and its effects on motor functions in types 2 and 3 SMA were reported also in one high‐ROB study. Functional motor declines over time were visually steeper in individuals with three copies of SMN2 compared with individuals with four to five copies of SMN2, but these differences were not significant (Table  ). In the ENDEAR RCT, evaluating treatment with nusinersen in type 1 SMA, all infants had two copies of SMN2; it was therefore not possible to assess whether SMN2 copy number had any effect upon treatment outcomes related to motor function. Two low‐ROB studies investigated the effect of SMN2 copy number on treatment outcomes in a type 1 SMA population treated with nusinersen (Table  ). , Neither study reported statistical associations between SMN2 copy number and motor function improvements. When comparing infants aged >7 months with two vs. three copies, no difference was observed in either the median change of the Hammersmith Infant Neurological Examination, Section 2 total score (1.5 on average for both groups) or the median change in score on the Children's Hospital of Philadelphia Infant Test of Neuromuscular Disorders (CHOP‑INTEND) over 6 months (two copies: 3.5 points; three copies: 4.0 points). In a similar study that included children as young as 1 month, greater absolute effects were observed over the same time span, but identical improvements in the CHOP‐INTEND scores were observed in children with two or fewer SMN2 copies (8.1‐point improvement) and children with three or more copies (8.2‐point improvement) on average. In the CHERISH RCT, the change in Hammersmith Functional Motor Scale –Expanded (HFMSE) scores from baseline to 15 months was evaluated in nusinersen and sham groups stratified by SMN2 copy number. The median age of patients at the time of study was 4 years (range: 2‒9 years). Individuals in the nusinersen arm with three copies of SMN2 had a larger mean change in HFMSE score when compared with individuals with three SMN2 copies who received sham (Table  ; treatment difference: 4.4 points). Most of the CHERISH participants had three copies of SMN2, which makes inferences about the efficacy of nusinersen across different SMN2 copy number populations difficult. The SLR did not find any low‐ROB studies evaluating the prognostic effect of disease severity on motor function outcomes in type 1 SMA, but one high‐ROB natural history study investigated the effect of the severity of the SMA phenotype (classified as mild, typical, or severe) and reported greater monthly decline in CHOP‑INTEND score in patients with more severe SMA (Table  ). When severity was defined by subtype (type 1b vs. 1c), greater declines in CHOP‐INTEND score were reported in infants with type 1b SMA in a high‐ROB study, although this difference was not significant (Table  ). The ENDEAR study did not report on efficacy of nusinersen by disease severity. Two low‐ROB natural history studies examined the effect of subtype on motor function outcomes in types 2 and 3 SMA and did not find any differences in motor decline across subtypes at month 12, although declines were more pronounced in less severe types of the disease (Table  ). , These findings are consistent with observations in high‐ROB natural history studies, , although one study found significantly better motor function outcomes in patients with type 3a SMA compared with patients with type 3b with regard to stair climbing (Table  ). An RCT of olesoxime in types 2 and 3 SMA found no effect of disease severity (defined by Motor Function Measure Domain 1 + Domain 2 total score) on outcomes (Table  ). The effect of ambulatory status at baseline on motor function (6‐minute walk distance (6MWD), HFMSE, and GMFM (Gross Motor Function Measure) were assessed in two low‐ROB natural studies in types 2 and 3 SMA (Table  ). , The first study reported that 6MWD at baseline had no significant correlation with change in 6MWD at month 12 (Pearson r = 0.19; P = 0.30) in a type 3 SMA population. However, in the second, larger study, ambulation was found to be associated with better HFMSE outcomes after adjusting for baseline score and age class (P = 0.029): HFMSE score increased on average in ambulant individuals (+0.83) compared with a decrease in nonambulant individuals (–0.84). Similarly, in a high‐ROB study, ambulant individuals had a lower decline in mean motor function scores (GMFM and HFMSE) scores over a 3‐year period compared with nonambulant individuals, although this difference was not found to be significant. In type 1 SMA, no low‐ROB studies report on the prognostic value of diagnosis time frame on natural history of disease. One high‐ROB natural history study found no evidence to suggest that diagnosis time frame (>3 months before study enrollment vs. recent diagnosis) had a prognostic effect on 12‐month changes in CHOP‑INTEND (Table  ). The SLR found no studies reporting on predictive value of diagnosis time frame on treatment with DMTs. In types 2 and 3 SMA, there were no low‐ROB studies evaluating the effect of non‑SMN‐targeting medications on motor function, with the exception of one RCT evaluating the efficacy of olesoxime (Table  ). In a high‐ROB study, treatment with medicines such as albuterol, carnitine, creatine, hydroxyurea, oral steroids, and VPA were associated with a greater decline in motor function score over a 3‐year period (Table  ). Treatment with a DMT was predictive of improved motor milestone response in type 1 SMA: 41% (21/51) of infants randomized to nusinersen in ENDEAR compared with 0% (0/27) randomized to sham control achieved a motor milestone response (P < 0.001; interim analysis). In the final analysis, the percentage of children who achieved an increase of ≥4 points in CHOP INTEND score was greater in the nusinersen group than in the sham control (71% vs. 3%, P < 0.001). The ENDEAR study did not report on the effect of treatment initiation on motor functional end points, but age at treatment initiation was suggested to be a major determinant of the change from baseline in CHOP‑INTEND scores in children treated with nusinersen in a low‐ROB observational study, where every month of delay in initiation of therapy negatively impacted results achieved at 6 months of follow‐up (effect size for the change in CHOP‐INTEND score: –0.146 (95% CI: –0.227, –0.006; P = 0.0006); Table  ). A high‐ROB study found an association between treatment with onasemnogene abeparvovec and motor function (Table  ). Individuals with types 2 and 3 SMA in the CHERISH study (median age at treatment initiation: 4.0 years; range: 2–9 years) treated with nusinersen improved on their baseline HFMSE score by 3.9 points on average, while individuals randomized to the sham group lost on average 1.0 point relative to baseline after 15 months of treatment (Table  ). At the end of the study, a greater proportion of individuals in the nusinersen group than in the placebo group demonstrated an increase of at least 3 points in their HFMSE score (57% vs. 26%; P < 0.001; Table  ). Results in the CHERISH study were not stratified by age and there were no further studies in this SLR that evaluated the effect of nusinersen on motor function by age at treatment initiation in DMT‐treated individuals with types 2 and 3 SMA. Age at treatment initiation was investigated in the phase II RCT investigating olesoxime and suggested that greater effects were seen in patients aged 6–15 years; however, the study did not meet the primary end point. The prognostic effect of age at enrollment on the change in HFMSE, GMFM, Revised Upper Limb Module (RULM), and 6MWD were investigated in four low‐ROB observational studies (Table  ) , , , and one high‐ROB study in types 2 and 3 SMA (Table  ). All studies reported that younger individuals experienced improved motor function outcomes. In terms of 6MWD, no significant linear association was observed between age and 1‐year changes in ambulant type 3 SMA patients (r = 0.04, P = 0.80; Table  ). However, children <6 years old tended to have slightly better scores compared with prepubertal patients, who had a more variable range and relatively higher risk of deterioration. In a second study, annual gains in 6MWD were observed in the youngest age group (<6 years, 9.8‐m increase in 1 year; P = 0.23), compared with adolescents (11–19 years, 20.8‐m decrease; P < 0.0001) and adults (≥20 years, 9.7‐m decrease; P = 0.05). A significant difference was observed in the 12‐month change in HMFSE score between different age groups of nonambulant individuals with type 2 SMA, with scores increasing by 0.04 in younger patients (<5 years), and decreasing in intermediate (5 to 14 years) and older individuals (≥15 years) (P = 0.048). Similar results were observed in HFMSE scores in ambulant individuals with type 3 SMA, though these results were not significant (P = 0.34). When ambulant children were separated into subtypes (3a or 3b), the change in HFMSE score was associated with age in type 3a children (P = 0.067) only. Among the three functional groups (type 2, type 3 ambulant, and type 3 nonambulant SMA), on average, RULM scores improved over the course of a year in younger patients and declined in patients >10 years. Results in the high‐ROB study were consistent with the low‐ROB data, with motor function declining less over time in younger individuals (Table  ). No studies report on the prognostic or predictive value of gender on motor function in type 1 SMA. Overall, there is no significant impact of gender on the natural history of types 2 and 3 SMA in both low‐ROB (Table  ) , and high‐ROB (Table  ) studies. One low‐ROB study found no evidence of predictive value of gender on treatment with olesoxime (Table  ). There were no low‐ROB studies that compare natural history across geographies. One high‐ROB study observed a significant effect on geographic location and the loss of ambulation, with mean age at loss of ambulation ranging from 9 years (Serbia) to 19 years (United Kingdom) (Table  ). Patients in Germany/Austria, Switzerland, and the United Kingdom experienced longer median times of ambulation after diagnosis (P = 0.014) compared with patients in Argentina, Hungary, Ukraine, and Serbia. Geographic location was evaluated in one RCT (Table  ). Due to small sample sizes in Asia, only data from Europe and North America could be compared. Results on the efficacy of nusinersen were similar across the two locations.

Factors that affect respiratory function

Only two high‐ROB studies investigated respiratory function in type 1 SMA and types 2 and 3 SMA (Table  ). In type 1 SMA, consistent with what was observed above, infants with head control had a longer median time to the introduction of respiratory support with tracheostomy positive pressure ventilation compared with patients without head control. In types 2 and 3 SMA, there was no association between SMA type (type 2 vs. 3 SMA; P = 0.61; Table  ), ambulatory status (P = 0.55) or HFMSE score at baseline (P = 0.36) and change in forced vital capacity (FVC) after 3 years. Higher SMN2 copy numbers (4–5 copies vs. 2–3; Table  ; P = 0.19) were associated with a smaller decline in mean change in FVC, and a better baseline respiratory function (FVC ≥ 70%) was associated with a larger decline in mean change in FVC (Table  ; P = 0.0007). A prognostic effect on the change in FVC was found for patients taking SMA medication (albuterol, carnitine, creatine, hydroxyurea, oral steroids, and VPA) vs. those not taking medication, with treatment being associated with a larger decline in FVC after 3 years.

Discussion

This SLR aimed to identify prognostic factors and treatment‐effect modifiers in types 1, 2, and 3 SMA.

Factors affecting survival

Studies evaluating the prognostic value of genetic factors in SMA natural history indicated that higher SMN2 and NAIP copy number were associated with prolonged survival, although SMN2 seems to be a stronger predictor of survival than NAIP. Recent data have indicated that NAIP copy number does not predict clinical phenotype in SMA, thereby limiting its usefulness as a prognostic factor. Based on the results of this review, SMN2 copy number emerges indeed as a strong genetic prognostic factor for survival in natural history studies. However, the genotype‐phenotype relationship of SMN2 copy number is not absolute; a limited number of individuals who carry the mutation c.859G>C variant within SMN2 do not appear to present the most severe form of SMA, regardless of SMN2 copy number. Disease severity is also a key prognostic factor of survival in SMA. Clinically, disease severity is categorized by SMA type, which is based on the age of symptom onset. In this manuscript, an association between SMA type and survival was observed, with reduced survival in type 1 SMA. Likewise, the early onset of symptoms and also the presence of severe symptoms (such as respiratory distress at birth, reduced fetal movements, and the absence of head/trunk control) were also associated with reduced survival. In total, regardless of how it is defined, it appears that clinical disease severity is a strong prognostic factor of survival. This finding is consistent with recently published data demonstrating that longer end point–free survival (defined as the need for mechanical ventilation) is associated with less severe SMA. High‐ROB observational studies in individuals with type 1 SMA who have not received treatment with DMTs report a beneficial effect of supportive care interventions such as assisted ventilation , and nutritional support. Indeed, SoC recommendations in 2007 have led to a measurable improvement in the survival of patients treated in subsequent years. The role of supportive care alone may be under‐represented in recent literature as infants in clinical trials all received BSC; however, BSC does not result in acquisition of motor milestones in this condition. While the importance of the implementation of SoC guidelines should not be diminished, the recent approval of DMTs has dramatically altered the prognosis of SMA. Nusinersen was investigated in two of the three RCTs included in this review. The ENDEAR study, the only RCT published in a type 1 SMA population, found that nusinersen treatment was associated with significantly prolonged survival. Similar to findings from observational studies discussing symptom onset, a shorter disease duration before nusinersen initiation was associated with prolonged survival in type 1 SMA. Improvements in survival in type 1 SMA have also been reported in response to treatment with other DMTs, not included in this SLR. Onasemnogene abeparvovec has also been associated with a significant increase in survival in an open‐label study. This study was identified in the literature search but was excluded during screening as it did not report CIs, statistical significance, or relative measures of treatment effect for subgroups. Significantly prolonged survival was observed in an open‐label study in infants with type 1 SMA treated with risdiplam.

Factors affecting motor function

Increasing SMN2 copy number is prognostic of improved motor function in untreated individuals with type 1 SMA, with greater proportions of individuals achieving major motor milestones such as sitting and walking as SMN2 copy number increases. However, in individuals treated with DMTs, SMN2 genotype does not seem to have any predictive value in response to nusinersen treatment. In fact, two observational studies evaluating change in motor function observed near‐identical trajectories in infants with type 1 SMA with two or fewer SMN2 copies as in children with three or more copies of SMN2. , As many clinical trials only include individuals with a specified number of SMN2 copies, it may be difficult to ascertain the true effect of SMN2 copy number on motor function in an SMA patient population treated with DMTs until more real‐world studies have been conducted. Indeed, from the results in this SLR, we are unable to assess the predictive value of SMN2 copy number on motor function outcomes with relation to DMT treatment, as in the ENDEAR study, all infants enrolled had two copies of SMN2. Similarly, most (87%) individuals in the CHERISH study with types 2 and 3 SMA had three copies of SMN2, which made evaluating the efficacy across SMN2 copy number populations difficult. Consequently the CHERISH data indicated only a trend towards higher SMN2 copy numbers being beneficial; they did not test for significance. However, although this may be the case in patients with measurable clinical disease, in individuals treated at the presymptomatic stage, lower SMN2 copies are associated with motor delay and bulbar symptoms. The effect of disease severity on motor function was only reported in high‐ROB observational studies in type 1 SMA. , These studies indicated that more severe disease is associated with worse motor outcomes. Indeed, greater baseline motor function (and a clinical response to treatment) predicts an increased probability of acquiring a sitting position after 6 months of nusinersen treatment. In types 2 and 3 SMA the effect of disease severity is less obvious than in type 1 SMA. Although all low‐ROB studies in our review report that increased disease severity was associated with poorer motor outcomes, , , , , only one study examining ambulatory status (walkers vs. non walkers) in a mixed population reported significant findings (P < 0.05), with ambulant individuals having a better prognosis over 12 months. This is to be expected as the types 2 and 3 SMA encompass a broad spectrum of functional abilities: Some individuals can sit independently but not stand, some can stand and others can walk, and some can lose these abilities over time. Additionally, these studies report results over relatively short follow‐up time frames (12–24 months). As there is large heterogeneity between individuals, these time scales may not be sufficient to capture differences in individuals who are declining more slowly. Recent data in nusinersen‐treated individuals reported that improvements in motor function are greater in individuals with type 3 SMA than in type 2 SMA, when assessed by the HFMSE and RULM. However, when examined more closely, most of the benefit in the RULM was observed in individuals with type 3 SMA population who are able to sit, but not walk, and although no significant improvement was reported in individuals with type 2 SMA overall, improvements in RULM were observed in individuals with type 2 SMA with residual motor function. Although generally, individuals with more severe disease have worse outcomes, it is clear that SMA type alone as a measure of disease severity is not sufficient to predict the prognosis of individuals with SMA. In terms of care‐related factors, the use of nusinersen treatment is associated with improved motor function outcomes in type 1 SMA , and types 2 and 3 SMA. The most important modifying factors for nusinersen treatment were age at treatment initiation , and disease duration, with younger individuals being associated with better motor function outcomes. Further evidence to support this key concept can be taken from recently published studies: Following treatment with the gene therapy onasemnogene abeparvovec, infants with type 1 SMA who were dosed at an earlier age demonstrated larger gains in CHOP‐INTEND when compared with those who were older, , and younger children with type 2 SMA (<6 years) also experienced greater improvement in motor function compared with older children (>6 years) when treated with nusinersen. In natural history studies, the pattern of disease progression in types 2 and 3 SMA also typically depends on age. , , , , Younger age groups experience gains in motor function. The steepest declines in motor function occur during adolescence as weight is gained, and contractures and scoliosis develop. As individuals age further (>16 years), declines in motor function plateau as contractures and weight gain stabilize. Recently reported data show that the risk of declining in motor function increases with age and greater baseline motor function.

Factors affecting respiratory measures

Our review found only two high‐ROB studies reporting on respiratory outcomes, , which included no evidence from individuals treated with DMTs. These studies observed that disease severity and age influence outcomes in SMA. Recent literature in both nusinersen‐treated and untreated , individuals supports these findings.

Limitations

Although we conducted an SLR, our search strategy was restricted by date of publication (January 1, 2000 to April 30, 2019) and to studies published in the English language. As SMA is a rare disease, there is a paucity of data in the SLR from RCTs or high‐quality observational studies. Indeed, only three RCTs , , were published within the time frame of the SLR. To assess the quality of the available literature, ROB assessments were conducted on observational studies using the QUIPS tool. Since the QUIPS tool does not provide an overall score, we made an ad hoc interpretation of study quality (studies were less reliable if they exhibited four or more domains at a moderate or high ROB). Most of our findings for the observational evidence are informed by univariable analyses, which is suboptimal. Ideally, studies should control for all possible covariate factors when assessing prognostic effect. When studies did not report multivariate analysis control for confounding factors, they were given a moderate/high‐ROB score on the QUIPS domain “adjustment for other prognostic factors.” Furthermore, some studies comprised small numbers of patients or subgroups, limiting generalizability and power to detect statistically significant differences. In addition, we did not attempt to calculate statistical significance from graphs or other measures of variability if it was not present in the original study. The studies in this SLR do not all report the same factors and do not always report the same factors consistently. For example, time to death or permanent mechanical ventilation is a common survival end point in many studies in type 1 SMA. However, permanent ventilation is defined differently in different studies: Finkel, et al. 2014 defined permanent ventilation as ≥16 hours per day, whereas in Rudnik‐Schoneborn, et al. it was for ≥16 hours per day for >14 days. Finkel et al. went further and defined permanent assisted ventilation as ≥16 hours per day for >21 continuous days. It is important to note that many of the prognostic factors analyzed within this study showed some correlation. SMN2 copy number is associated with SMA type/subtype, , which is in turn defined clinically by age of symptom onset. , There is significant correlation between SMN2 copy number and SMA type: 80% of patients with type 1 SMA possess one or two SMN2 copies, 82% of patients with type 2 SMA possess three copies, and 96% of type 3 SMA patients possess three or four copies. Although lower SMN2 copy numbers correlate with lower levels of SMN protein, and lower SMN levels are associated with greater degrees of muscle denervation, the relationship between SMN2 copy number and disease severity is not absolute; recent studies have shown that other cellular mechanisms may also play a role. This analysis did not consider statistical associations between prognostic factors.

Conclusions

The recent availability of DMTs has revolutionized the management of SMA; treated individuals are now living longer and have improved functional abilities and quality of life. In summary, prognostic factors in patients with SMA include: SMN2 copy number baseline motor, bulbar, and respiratory function age of symptom onset age at study enrollment in natural history studies clinical disease severity and SMA type the implementation of supportive care Factors with modifying effects on outcomes of treatment with DMTs include: disease duration before DMT initiation age at treatment initiation In treated patients with type 1 SMA , or types 2 and 3 SMA, disease duration before DMT initiation has been consistently reported as a strong predictor of treatment efficacy. Age at treatment initiation was found to be a prognostic factor in types 1, 2, and 3 SMA, further emphasizing that treatment at a younger age is the most important prognostic factor to contemplate when considering treatment outcomes. In particular, individuals with SMA aged 6–15 years are particularly vulnerable to developing complications, e.g., scoliosis and progressive contractures, which negatively influence functional outcomes. Additional evidence from not‐yet published but public data have also been recently reviewed, reinforcing the importance of the effects of these factors on DMT initiation. Factors beyond treatment that are prognostic of outcomes in SMA include age of symptom onset, supportive therapy, and factors indicative of disease severity, such as the presence of symptoms at birth, and functional status. Disease severity and symptom onset are in turn influenced by a genetic component, principally SMN2 copy number. Overall, although SMN2 was found to have a clear prognostic effect in untreated patients, greater SMN2 copies were not associated with a significantly better response to treatment , in infants with type 1 SMA. There is however, published evidence in the literature indicative of better outcomes in patients with three copies of SMN2 when treated at the presymptomatic stage. In CHERISH, there was some indication of a trend in individuals with types 2 and 3 SMA treated with nusinersen, but due to low copy number diversity, we have no evidence from an RCT to indicate a predictive effect with regard to DMT treatment. Altogether, outside presymptomatic patients, there is no evidence of SMN2 as a predictor of treatment response. This could be due to the limited amount of long‐term data and possible confounding factors in observational studies, such as age at treatment initiation. The factors discussed in this study, notably age at treatment initiation, the use of supportive therapies and disease duration, should be considered prior to designing or analyzing studies in an SMA population, conducting population matching, or summarizing results from multiple studies on the treatments for SMA. It also prompts the importance of accelerating diagnosis to reduce the disease duration before treatment initiation, which naturally leads to newborn screening programs that have flourished across the world. Although we have identified key prognostic and predictive factors in this review that determine how well an individual might respond to treatment, there is a need for markers to monitor responses to ongoing treatment. Although our SLR did not identify any of these studies, in more recent literature there has been a drive to discover new biological markers that can be used to assess how well a patient is progressing. , , , For example, plasma phosphorylated neurofilament heavy chain (pNF‑H), a marker of axonal damage, is elevated in SMA and reduced in response to nusinersen treatment. , High levels of pNF‐H are associated with an earlier onset of symptoms, later initiation of treatment, and a lower CHOP‐INTEND score. Interestingly, most patients with two SMN2 copies already have signs of disease. Indeed, by the age of 1 month many already exhibit subtle features of disease which can be demonstrated using electrophysiology or by the higher levels of phosphorylated neurofilament. Future research should be focused on robust statistical methods to adjust for potential confounders (e.g., using multivariable analysis). By synergistically acting, when possible, on prognostic factors, such as the use of supportive therapy, and by treating infants with DMTs as early as possible following a diagnosis, the natural history of this life‐threatening disease may be dramatically changed.

Funding

This study was funded by F. Hoffmann‐La Roche Ltd, Basel, Switzerland.

Conflict of Interest

K.G. and M.D. are employees and shareholders of F. Hoffmann‐La Roche Ltd. A.K. is an employee of F. Hoffmann‐La Roche Ltd. N.H., D.A.S., and R.E. are partners/employees of Visible Analytics Ltd, which conducted this review and received consultancy fees and expenses from F. Hoffmann‐La Roche Ltd. A.M. is an employee of Bridge Medical Consulting Ltd, which conducted this review and received consultancy fees and expenses from F. Hoffmann‐La Roche Ltd. F.M. reports participation in Scientific Advisory Boards and teaching initiatives for AveXis, Biogen, Roche, and Novartis. He is a member of the Rare Disease Scientific Advisory Board for Pfizer. He is involved as an investigator in clinical trials from AveXis, Biogen, and Roche. In addition, he is the principal investigator of the SMA REACH UK clinical network, partially funded by Biogen and by SMA UK. G.B. is an investigator in spinal muscular atrophy (SMA) trials sponsored by AveXis, Roche, and Novartis. He has received compensation for participation at symposia and Scientific Advisory Boards from Roche and AveXis. L.S. is a principal investigator in SMA studies for Roche, Biogen, and AveXis. He has attended Scientific Advisory Boards of Biogen, Roche, Cytokinetics, and AveXis. He is the coordinating investigator of a study funded by Roche, AveXis, and Biogen. Figure S1 Click here for additional data file. Table S1 Click here for additional data file. Table S2 Click here for additional data file. Table S3 Click here for additional data file. Table S4 Click here for additional data file. Table S5 Click here for additional data file. Table S6 Click here for additional data file. Table S7 Click here for additional data file. Table S8 Click here for additional data file.
  89 in total

1.  The natural history of infant spinal muscular atrophy in China: a study of 237 patients.

Authors:  Xiushan Ge; Jinli Bai; Yanyu Lu; Yujin Qu; Fang Song
Journal:  J Child Neurol       Date:  2011-09-27       Impact factor: 1.987

2.  Correlation between severity and SMN protein level in spinal muscular atrophy.

Authors:  S Lefebvre; P Burlet; Q Liu; S Bertrandy; O Clermont; A Munnich; G Dreyfuss; J Melki
Journal:  Nat Genet       Date:  1997-07       Impact factor: 38.330

Review 3.  Diagnosis and management of spinal muscular atrophy: Part 1: Recommendations for diagnosis, rehabilitation, orthopedic and nutritional care.

Authors:  Eugenio Mercuri; Richard S Finkel; Francesco Muntoni; Brunhilde Wirth; Jacqueline Montes; Marion Main; Elena S Mazzone; Michael Vitale; Brian Snyder; Susana Quijano-Roy; Enrico Bertini; Rebecca Hurst Davis; Oscar H Meyer; Anita K Simonds; Mary K Schroth; Robert J Graham; Janbernd Kirschner; Susan T Iannaccone; Thomas O Crawford; Simon Woods; Ying Qian; Thomas Sejersen
Journal:  Neuromuscul Disord       Date:  2017-11-23       Impact factor: 4.296

4.  Responsiveness of the motor function measure in patients with spinal muscular atrophy.

Authors:  Carole Vuillerot; Christine Payan; Jean Iwaz; René Ecochard; Carole Bérard
Journal:  Arch Phys Med Rehabil       Date:  2013-02-01       Impact factor: 3.966

5.  Prospective cohort study of spinal muscular atrophy types 2 and 3.

Authors:  Petra Kaufmann; Michael P McDermott; Basil T Darras; Richard S Finkel; Douglas M Sproule; Peter B Kang; Maryam Oskoui; Andrei Constantinescu; Clifton L Gooch; A Reghan Foley; Michele L Yang; Rabi Tawil; Wendy K Chung; William B Martens; Jacqueline Montes; Vanessa Battista; Jessica O'Hagen; Sally Dunaway; Jean Flickinger; Janet Quigley; Susan Riley; Allan M Glanzman; Maryjane Benton; Patricia A Ryan; Mark Punyanitya; Megan J Montgomery; Jonathan Marra; Benjamin Koo; Darryl C De Vivo
Journal:  Neurology       Date:  2012-10-17       Impact factor: 9.910

6.  [Infantile spinal atrophy: our experience in the last 25 years].

Authors:  A Madrid Rodríguez; P L Martínez Martínez; J M Ramos Fernández; A Urda Cardona; J Martínez Antón
Journal:  An Pediatr (Barc)       Date:  2014-08-04       Impact factor: 1.500

7.  Cerebrospinal fluid proteomic profiling in nusinersen-treated patients with spinal muscular atrophy.

Authors:  Tobias Kessler; Pauline Latzer; Dominic Schmid; Uwe Warnken; Afshin Saffari; Andreas Ziegler; Jennifer Kollmer; Markus Möhlenbruch; Christian Ulfert; Christian Herweh; Brigitte Wildemann; Wolfgang Wick; Markus Weiler
Journal:  J Neurochem       Date:  2020-02-19       Impact factor: 5.372

Review 8.  Spinal muscular atrophy.

Authors:  Adele D'Amico; Eugenio Mercuri; Francesco D Tiziano; Enrico Bertini
Journal:  Orphanet J Rare Dis       Date:  2011-11-02       Impact factor: 4.123

9.  Survival, Motor Function, and Motor Milestones: Comparison of AVXS-101 Relative to Nusinersen for the Treatment of Infants with Spinal Muscular Atrophy Type 1.

Authors:  Omar Dabbous; Benit Maru; Jeroen P Jansen; Maria Lorenzi; Martin Cloutier; Annie Guérin; Irina Pivneva; Eric Q Wu; Ramesh Arjunji; Douglas Feltner; Douglas M Sproule
Journal:  Adv Ther       Date:  2019-03-16       Impact factor: 3.845

10.  Respiratory Trajectories in Type 2 and 3 Spinal Muscular Atrophy in the iSMAC Cohort Study.

Authors:  Federica Trucco; Deborah Ridout; Mariacristina Scoto; Giorgia Coratti; Marion L Main; Robert Muni Lofra; Anna G Mayhew; Jacqueline Montes; Marika Pane; Valeria Sansone; Emilio Albamonte; Adele D'Amico; Enrico Bertini; Sonia Messina; Claudio Bruno; Deepak Parasuraman; Anne-Marie Childs; Vasantha Gowda; Tracey Willis; Min Ong; Chiara Marini-Bettolo; Darryl C De Vivo; Basil T Darras; John Day; Elizabeth A Kichula; Oscar H Mayer; Aledie A Navas Nazario; Richard S Finkel; Eugenio Mercuri; Francesco Muntoni
Journal:  Neurology       Date:  2020-10-16       Impact factor: 9.910

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