Literature DB >> 31142529

Real-world treatment persistence of golimumab in the management of immune-mediated rheumatic diseases in Europe: a systematic literature review.

Karin Luttropp1, Mary Dozier2, Nahila Justo1,3, Freddy Cornillie4, Sumesh Kachroo5, Marinella Govoni6, Stina Salomonsson7, Christopher M Black5, Ahmed Khalifa4.   

Abstract

OBJECTIVES: To summarise real-world data from studies reporting golimumab persistence in European immune-mediated rheumatic disease (IMRD) populations and to report pooled estimates.
DESIGN: Systematic literature review. DATA SOURCES: Relevant literature was identified through searching Medline and Embase via Ovid as well as the conference databases of European League Against Rheumatism and American College of Rheumatology-Association of Rheumatology Health Professionals. ELIGIBILITY CRITERIA: We screened records using predefined patients, interventions, comparators, outcomes and study design criteria. Eligible studies included reports of persistence among adult IMRD patients in Europe receiving treatment with subcutaneous golimumab. Clinical trials, randomised controlled trials, literature reviews, editorials, guidelines and studies with <20 patients receiving golimumab were excluded. DATA EXTRACTION AND SYNTHESIS: Following double screening by two independent reviewers, 27 studies out of 578 identified records were selected for inclusion and subsequent data extraction. Persistence was most commonly reported at 12and 24 months; hence, pooled persistence estimates were calculated for these two time points and reported according to indication.
RESULTS: Persistence ranged between 58.1% (psoriatic arthritis (PsA) patients regardless of treatment line) and 75.7% (biological-naïve rheumatoid arthritis patients) at 12 months; at 24 months, the range was 43% (axial spondyloarthritis (AxSpA) patients regardless of treatment line) and 69.6% (biological-naïve PsA patients). On the basis of data from 12 studies, persistence with golimumab treatment was either significantly higher or not significantly different from other tumour necrosis factor inhibitors (TNFi).
CONCLUSIONS: Golimumab persistence at 24 months approximates 50%, with a lower persistence among AxSpA (43%) patients. However, as the number of studies in these populations was low, they warrant further research. In 12 studies comparing various TNFi treatments, golimumab was shown to have significantly better or equal persistence to its comparators. © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  drug survival; golimumab; real-world evidence (RWE); rheumatology; treatment persistence

Mesh:

Substances:

Year:  2019        PMID: 31142529      PMCID: PMC6549706          DOI: 10.1136/bmjopen-2018-027456

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


By excluding data from randomised controlled trials, this systematic literature review provides an up-to-date overview of real-world tumour necrosis factor inhibitors persistence in European immune-mediated rheumatic disease (IMRD) patient populations. Including different IMRD diagnoses, as opposed to limiting the scope to a single rheumatic disease, allows comparisons of treatment patterns across various disorders. The definition of persistence varied across included studies, thereby complicating the interpretation of any direct comparisons of results.

Introduction

The collective term immune-mediated rheumatic diseases (IMRD) encompasses a group of diagnoses, including axial spondyloarthritis (AxSpA), psoriatic arthritis (PsA) and rheumatoid arthritis (RA). Common to all types of IMRD is the presence of chronic inflammation, as evidenced by elevated synovial joint fluid levels of tumour necrosis factor alpha (TNF-α), which, in turn, stimulates the production of inflammatory cytokines, such as interleukin (IL)-1, IL-6, granulocyte macrophage colony stimulating factor (CSF) and granulocyte CSF.1 2 The landscape for treatment of IMRD has evolved rapidly, and currently includes several TNF-α inhibitors (TNFi) in addition to the conventional synthetic disease-modifying antirheumatic drugs (DMARDs) and non-steroidal anti-inflammatory drugs (NSAIDs) commonly used to treat IMRD. Other treatments, targeting IL-17 and Janus kinase pathways as well as the lymphocytes involved in propagating the inflammatory response, are also approved for clinical use or are still investigational.3–5 In Europe, the subcutaneously administered TNFi golimumab is indicated for the treatment of active RA, AxSpA and PsA.6 Following the randomised controlled trials GO-FORWARD (RA patients),7 GO-RAISE (ankylosing spondylitis (AS) patients),8 GO-REVEAL (PsA patients)9 and GO-AHEAD (non-radiographic AxSpA patients),10 which established the efficacy and safety of golimumab, several open-label extension (OLE) studies were conducted.11–13 The OLE studies followed patients for 5 years to obtain long-term outcome data, including persistence, defined as the proportion of patients not discontinuing treatment. OLE studies of golimumab in biological-naïve IMRD patients showed a 5-year persistence rate of 70%; among biological-experienced RA patients, the corresponding rate was approximately 40%.11–15 However, patients enrolled in randomised controlled trials and subsequently, OLE studies are not always representative of patients in clinical practice. Thus, real-world data on drug utilisation, treatment patterns and outcomes are of great importance, as they provide information regarding the usage of available treatments outside of the strictly controlled environment of randomised controlled trials. Real-world persistence with treatment is particularly useful, as it has been considered a proxy marker not only for treatment safety and effectiveness, but also for patient satisfaction.16–18 The definition of persistence is the ‘duration of time from initiation to discontinuation of therapy’, while two other commonly used terms, adherence and compliance, are related to patient behaviour and conformance with the prescribed dosing regimen.19 Several systematic literature reviews (SLRs) focusing on real-world treatment patterns of golimumab and other TNFi in IMRD populations have been published.20–24 However, many focus on a particular subset of IMRD patients—such as RA populations—and do not include patients with other IMRD indications that also receive TNFi treatment; in addition, recent years have seen a substantial increase in studies reporting real-world evidence of TNFi treatment patterns, warranting an updated overview of the field.

Methods

In accordance with the study protocol (available on request), the literature search was performed in Medline and Embase via Ovid as well as in the American College of Rheumatology—Association of Rheumatology Health Professionals (ACR-ARHP) and European League Against Rheumatism (EULAR) conference abstract databases. The search was limited to include all studies indexed in Medline or Embase from 01 January 2009 to 30 April 2018. For EULAR abstracts, the search was limited to conference papers from 2017 to 2018, and for ACR-ARHP, only abstracts from the 2017 conference were considered. The search strings applied are listed in online supplementary tables 1–3. As golimumab is available as an intravenously administered formulation in non-European regions, with a label and dosage differing from the label approved by the European Medicines Agency (EMA), the literature search was limited to European studies including only the subcutaneous formulation and dosage approved by EMA.6 The search was restricted to studies published in English. The identified publications were subsequently entered into an abstract screening sheet and duplicates were removed. Where several publications reported the results for the same patient population, only one was included. This study was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.25 Hence, all studies identified in the original literature search were assessed for inclusion eligibility using the patients, interventions, comparators, outcomes and study design (PICOS) approach, as outlined below:

Patients

Studies including adult patients (≥18 years of age) in Europe diagnosed with IMRD, including AxSpA (encompassing AS and non-radiographic AxSpA), PsA and RA, were eligible for inclusion. Studies reporting joint results for mixed IMRD populations were also included but are presented separately.

Interventions

Studies reporting data on golimumab, administered subcutaneously, were eligible for inclusion. Studies where the mode of administration was reported as intravenous, were excluded.

Comparators

No restrictions applied.

Outcomes

Studies reporting estimates of persistence were eligible for inclusion. This included data on the proportion of patients persistent with golimumab treatment at specific time points (persistence rates at different landmarks); mean or median time to golimumab treatment discontinuation (time to event); and/or mean or median time until 50% of the patient population are no longer persistent with golimumab treatment (treatment survival).

Study design

All studies reporting real-world evidence, prospective or retrospective, were eligible for inclusion. Pivotal registration clinical trials, literature reviews, editorials, guidelines and studies with <20 patients receiving golimumab were excluded. Two independent reviewers using the PICOS criteria outlined above screened abstracts of the identified studies, and individual decisions on whether to include or exclude individual studies in the review were aligned until a consensus decision was reached. A second screening step was made based on the full-text version of the studies (where available), using the same approach as the one utilised in the abstract screening stage. Following the completion of the full-text screening, data were extracted from the studies included in the review. Information was extracted regarding (1) reference details; (2) study design; (3) patients; (4) treatments; (5) outcomes and (6) geographic scope. A full list of extracted variables is available in online supplementary table 4. Results were reported as pooled estimates of persistence by indication, weighted according to the number of patients in each subpopulation. For each subgroup analysis, it was noted which of the included studies had undertaken measures to minimise bias, and which had not. Studies that did not report the number of patients were not included in the pooled persistence estimates.

Risk of bias assessment

Studies included in the review were subjected to a risk of bias assessment using the Newcastle-Ottawa scale for cohort studies.26 The scale was modified slightly so that the maximum score for selection was two points, since the categories ‘selection of the non-exposed cohort’ and ‘demonstration that outcome of interest was not present at the start of the study’ were set as ‘not applicable’ for all studies included in the current review. The results of the assessment are reported in online supplementary file S1. A meta-analysis was not deemed feasible based on the studies selected for inclusion, and hence, no assessment of systematic bias across studies was performed.

Patient and public involvement

Since the current study is an SLR, there was no involvement of patients and/or the public.

Results

Identification and inclusion of studies

The Ovid search generated 378 hits, while the searches of the ACR-ARHP and EULAR database searches generated 16 and 184 hits, respectively. Duplicates were identified and removed, resulting in 560 full-text articles and conference abstracts that were included in the initial abstract screening. Sixty-three of these were included in a full-text screening, of which 30 records were selected for data extraction. Three studies were reported as both abstracts and full-texts; thus, only the estimates reported in the full-texts were included in the pooled results, resulting in 27 included studies. The selection process is shown in figure 1, using a PRISMA flowchart.
Figure 1

Selection process flowchart for identification of studies to be included in the literature review. ACR, American College of Rheumatology; ARHP, Association of Rheumatology Health Professionals; EULAR, European League Against Rheumatism.

Selection process flowchart for identification of studies to be included in the literature review. ACR, American College of Rheumatology; ARHP, Association of Rheumatology Health Professionals; EULAR, European League Against Rheumatism.

Study and patient characteristics

Of the studies included in the literature review, 9 were full-text articles27–35 while 18 were conference abstracts.36–53 The years of data collection ranged from June 200343 to March 2016.42 Seven studies did not report the period for data collection45–48 50–52; five of these were prospective studies.47 48 50–52 The maximum number of months during which golimumab treatment persistence was reported ranged from 650 to 60 months,43 45 the most common time points for reporting outcomes being 12 months (reported in 16 studies)27–31 34–40 42 44 45 47 and 24 months (reported in 13 studies).27–33 35 36 41 44–46 Ten studies reported golimumab persistence at more than one time point.27–31 35 36 44 45 47 A minority (5/27) of the included studies reported data on mean/median persistence in months.32 35 49 51 52 Four studies reported using methods to address selection bias,29–31 53 while an additional five studies used Cox proportional hazards model to identify potential confounders.27 28 33 34 52 The remaining 18 studies did not specify which methods, if any, that were used to address bias32 35–51; 16 of these were conference abstracts.36–51 Of the 19 studies that reported gender distribution in the patient cohort, the proportion of females ranged from 38.8% (AS patient subpopulation)51 to 89.2% (RA patient subpopulation).35 Eight studies did not report the proportion of female versus male patients36–40 46 47 49; these were all conference abstracts. The same eight studies did not report mean or median age of patients included in the cohorts. The reported mean age ranged between 39.8±10.1 years (nr-AxSpA patient subpopulation)51 and 58.3±13.3 years (RA patient subpopulation).35 Two studies reported median as opposed to mean age; one investigating PsA patients (median age 50 years (IQR 41–57)27) and one studying RA patients (median age 55 years (IQR 46–62)28). One study reported exclusively on an AS population38; five reported exclusively on a PsA population27 39 43 50 52 and six studies reported exclusively on an RA population.28 31 34 40 41 46 Fourteen studies29 30 32 33 35–37 42 44 45 47–49 52 included at least two different IMRD patient populations, and one study53 did not provide any data on disease distribution within the cohort. Mean or median disease duration was reported in 13 studies,27 28 31–33 35 41 44–46 48 51 52 and ranged between a median of 6.1 years (IQR 1.7–13) among a cohort of PsA patients27 and a mean of 18.8 years (SD 10.1) in a cohort of AS patients.51 A total of 19 studies reported patient treatment history with regard to previous usage of biologic treatments; the proportion of biological-naïve patients ranged from 30% (AS patient subpopulation)35 to 63% (IMRD patient population).42 Four 30 34 37 43 and three studies29 31 44 reported exclusively on naïve and experienced patient populations, respectively. Table 1 provides an overview of selected patient characteristics of the cohorts included in the literature review; it also includes the concept of persistence used in each study, defined as the time period during which patients are required to fill their prescriptions before a specified number of days elapses (sometimes referred to as the ‘gap size’).
Table 1

Patient characteristics

Reference, yearCountryYears of data collectionData sourceDiagnosis (n (%))Number of patients on golimumabMean age, years, (SD)Female, n (%)Mean disease duration, years, (SD)Naïve to biologics, n (%)Gap before classified as non-persistent (days)
Aaltonen et al, 201727 Finland2004–2014ROB-FINPsA (515 (100))8750 (41–57)*†NR (48)†6.1 (1.7–13)*†36 (41.4)N/A
Flipo, 201742 France2015–2016GO-PRACTICEAS (NR (22))‡16346 (13)‡NR (61)‡NRNR (63)‡N/A
PsA (NR (13))‡
RA (NR (22))‡
Manara et al, 201733 Italy2010–2015LORHENRA (180 (43.9))41054.6 (13.6)147 (81.7)6.3 (3–13.4)*85 (47.2)NR
AS (120 (29.3))45.2 (12.2)52 (43.3)6.4 (1.9–13.3)*51 (42.5)
PsA (110 (26.8))47.9 (12.8)55 (50)6.6 (2.5–11.3)*47 (42.7)
Dalén et al, 201729 Sweden2010–2013National registry dataRA (92 (49.2))18752.3 (13.18)113 (60.4)NR0 (0)60
AS (54 (28.9))
PsA (31 (16.6))
Favalli et al, 201831 Italy2010–2015LORHENRA (51 (100))5154.9 (15.3)45 (88.2)9.5 (7.8)0 (0)NR
Aaltonen et al, 201728 Finland2004–2014ROB-FINRA (887 (100))20055 (46–62)*†2556 (74)†9.5 (3.3–18)*†109 (54.5)NR
Iannone et al, 201732 Italy2013–2015GOARELRA (88 (21.2))41656 (13)71 (81)8.1 (8)41 (47)30
PsA (181 (43.5))53 (10)128 (70)6.9 (6)74 (41)
SpA (147 (35.3))48 (11)75 (51)7.4 (7)56 (38)
Dalén et al, 201630 Sweden2010–2012National registry dataRA (352 (46.7))75449.75 (15.57)440 (58.4)NR754 (100)60
AS (205 (27.2))
PsA (155 (20.6))
Belhassen, 201637 France2012–2013SNIIR-AMRA (4750 (40.5))†NRNRNRNR100%NR
AS (5735 (48.9))†
PsA (1244 (10.6))
Belhassen et al, 201636 France2012–2013SNIIR-AMRA (1315 (29.3))4485NRNRNRNRNR
AS (2656 (59.2))
PsA (514 (11.5))
Favalli et al, 201641 Italy2010–2015LORHENRA (677 (100))13654.3 (13.5)†NR (79.7)†8.9 (8.8)†85 (62.5)NR
Svedborn et al, 201553 Sweden2010–2012National registry dataNR75452 (15)†NR (62)†NRNR60
Mourão et al, 201734 Portugal2011–2015Reuma.ptRA (109 (100))10955.5 (13.2)94 (86.2)NR109 (100)90
Fautrel, 201738 France2012–2013National health insurance databaseAS (9098 (100))NRNRNRNRNR>90
Fautrel, 201739 France2012–2013National health insurance databasePsA (2011 (100))NRNRNRNRNR>90
Fautrel, 201740 France2012–2013National health insurance databaseRA (7204 (100))NRNRNRNRNR>90
Thomas et al, 201835 Greece2010–2014Four academic centresRA (166 (50.6))32858.3 (13.3)148 (89.2)9.9 (8.7)75 (45)NR
PsA (82 (25))52.1 (11.9)55 (67)9.3 (6.6)33 (40)
AS (80 (24.4))45.7 (11.3)41 (50)10.4 (7.6)24 (30)
Michelsen et al, 201848 NorwayNRNOR-DMARDRA (163 (20.1))81251.2 (14.1)NR (76.1)11.3 (10.0)NRN/A
PsA (267 (32.9))48.1 (11.7)NR (55.1)8.7 (9.0)
AxSpA (382 (47))41.8 (11.1)NR (44.1)10.6 (11.2)
González Fernández et al, 201844 Spain2013–2015GO-BEYONDAxSpa (131 (62.4))21049 (12)NR (40)6.71*0 (0)NR
PsA (79 (37.6))
Klaudius, 201847 GermanyNRNRRA (237)§748NRNRNRNRN/A
PsA (235)§
AS (228)§
García-Porrúa, 201843 Spain2003–2015Multicentre cohortPsA (468 (100))3153.3 (12.6)†NR (44.8)†NR31 (100)N/A
Serrano-Benavente, 201851 SpainNRMonocentric cohortAS (49 (46.7))10551.1 (10.8)19 (38.8)18.8 (10.1)15 (30.6)N/A
nr-AxSpA (40 (38.1))39.8 (10.1)21 (52.5)7.3 (10.3)24 (60)
All (axial and peripheral SpA) (NR (NR))45.1 (13.2)53 (50.5)11.8 (12.3)48 (45.7)
Scrivo, 201850 ItalyNRNRPsA (149 (100))14949 (11)NR (46.3)NRNRN/A
Iannone et al, 201846 ItalyNRGISEARA (345 (100))345NRNRRF/ACPA-positive: 10.6 RF/ACPA-negative: 8.2 (6)NRNR
Serrano-Benavente, 201852 SpainNRMonocentric cohortPsA (48 (100))4848.3 (11.1)25 (52.1)8.4 (7.9)25 (52.1)N/A
Hernández, 201845 SpainNRBIODABASERRA (105 (29.8))35352 (11)NR (55)8 (2.8–15)*NR (40.1)NR
AxSpA (147 (30.6))
PsA (101 (28.6))
Santo, 201749 Italy2013–NRGOARELRA (73 (19.8))368NRNRNR206 (56)N/A
PsA (168 (45.7))
AxSpA (127 (34.5))

*Median (IQR).

†Data not specific to patients receiving GLM.

‡Data for the entire cohort, including those lacking follow-up data.

§Modified intention-to-treat population; not full data set (n=70).

ACPA, anticitrullinated protein antibody; AS, ankylosing spondylitis; AxSpA, axial spondyloarthritis; GLM, golimumab; N/A, not applicable; NR, not reported; nr-AxSpA, non-radiographic-AxSpA; PsA, psoriatic arthritis; RA, rheumatoid arthritis; RF, rheumatoid factor.

Patient characteristics *Median (IQR). †Data not specific to patients receiving GLM. ‡Data for the entire cohort, including those lacking follow-up data. §Modified intention-to-treat population; not full data set (n=70). ACPA, anticitrullinated protein antibody; AS, ankylosing spondylitis; AxSpA, axial spondyloarthritis; GLM, golimumab; N/A, not applicable; NR, not reported; nr-AxSpA, non-radiographic-AxSpA; PsA, psoriatic arthritis; RA, rheumatoid arthritis; RF, rheumatoid factor.

Pooled golimumab persistence estimates at 12 and 24 months

Figure 2 illustrates the proportion of patients persistent with golimumab treatment at specific time points by indication. The reporting time points ranged between 3 months27–29 47 and 60 months,43 45 the latter of which is comparable to the outcome reporting time point used in OLEs of the golimumab randomised controlled trials. As can be seen from figure 2, the most commonly reported time points were 12 and 24 months. At 12 months, the total number of studies reporting golimumab persistence ranged from five for AxSpA patients35–38 44 to eight for IMRD patients29 30 35 36 42 44 45 47; at 24 months, the number of studies ranged between three and eight for AxSpA35 36 44 and RA,28 31–33 35 36 41 46 respectively. A detailed overview of the reporting time points is provided in online supplementary table 5. Pooled golimumab persistence data from 12 and 24 months, weighted according to relative sample size, are presented in figure 3A–D. The study by Favalli et al 41 was excluded from further analysis following quality assessment, and thus was not included in the pooled estimates. Note that since a different number of studies was used to calculate each pooled estimate, the number of patients used to weigh the sample size also varied between the pooled estimates.
Figure 2

Number of studies reporting persistence at various time points. Results are reported by indication. (A) Immune-mediated rheumatic disease; (B) rheumatoid arthritis; (C) axial spondyloarthritis and (D) psoriatic arthritis.

Figure 3

Pooled persistence data at 12 and 24 months, by treatment line (where available). Results are reported by disease. (A) IMRD populations (persistence data not reported for individual diagnoses)29 30 35 36 42 44 45 47; (B) rheumatoid arthritis populations28 31–36 46; (C) axial spondyloarthritis populations33 35 36 and (D) psoriatic arthritis populations.27 32 33 35 36 44 IMRD, immune-mediated rheumatic disease; GLM, golimumab; n, number of studies included.

Number of studies reporting persistence at various time points. Results are reported by indication. (A) Immune-mediated rheumatic disease; (B) rheumatoid arthritis; (C) axial spondyloarthritis and (D) psoriatic arthritis. Pooled persistence data at 12 and 24 months, by treatment line (where available). Results are reported by disease. (A) IMRD populations (persistence data not reported for individual diagnoses)29 30 35 36 42 44 45 47; (B) rheumatoid arthritis populations28 31–36 46; (C) axial spondyloarthritis populations33 35 36 and (D) psoriatic arthritis populations.27 32 33 35 36 44 IMRD, immune-mediated rheumatic disease; GLM, golimumab; n, number of studies included.

Mixed IMRD populations

The persistence resulting from pooling estimates reported from overall IMRD patient populations treated with golimumab regardless of treatment line was 60.4% at 12 months29 30 35 36 42 44 45 47 and 58.6% at 24 months.29 30 32 35 44 45 For biological-naïve IMRD patients, the pooled persistence at 12 months was 63.8%; at 24 months, it was 52.2%.30 45 Biological-experienced IMRD patients receiving golimumab in second and subsequent lines had a persistence rate of 71.7% and 58.7% at 12 and 24 months, respectively29 44 45 (figure 3A).

RA populations

For RA, patients treated with golimumab had a pooled persistence across all therapy lines of 62.3% at 12 months28 31 34–36 and 49.8% at 24 months28 31–33 35 36 46 (figure 3B). Biological-naïve RA had a pooled 12-month persistence rate of 75.7%28 34 and 62.5% at 24 months.28 32 33 Biological-experienced RA patients had a pooled persistence rate of 71.3% at 12 months,28 31 while at 24 months, the level of pooled persistence was 58.1%.28 31–33

AxSpA populations

When analysing AxSpA populations regardless of treatment line, the pooled persistence was 55.4% at 12 months35 36 and 43% at 24 months33 35 36 (figure 3C). Only two studies reported persistence by treatment line (one for biological-naïve patients and one for biological-experienced patients); therefore, no pooled persistence was calculated for these.

PsA populations

Regardless of treatment line, PsA patient populations had a pooled golimumab persistence of 58.1% at 12 months27 35 36 44; at 24 months, the pooled persistence was 48.7%.27 32 33 35 36 44 While no pooled estimate for biological-naïve PsA patients could be calculated at 12 months since it was only reported in one study,27 the persistence rate at 24 months was 69.6%.27 33 For biological-experienced PsA patients, golimumab persistence was 74.7% at 12 months27 44 and 63% at 24 months27 33 44 (figure 3D).

Persistence expressed as mean number of months

For mean golimumab persistence expressed as mean number of months until discontinuation, pooled data were only available for PsA and RA populations with mixed or unknown treatment history. For IMRD and AxSpA, as well as for subpopulations with specified treatment history, only one study reported mean survival time. The pooled mean survival time is shown in figure 4. For PsA, mean survival time in months equalled 26.3 (±2.6) (three studies)32 35 52 (figure 4A); for RA, it was determined as 33 months (±1.8) (two studies)32 35 (figure 4B).
Figure 4

Pooled mean survival time (months) for patients with mixed or unknown treatment history receiving golimumab (GLM) treatment. (A) Psoriatic arthritis patient populations32 35 52 and (B) rheumatoid arthritis patient populations.32 35

Pooled mean survival time (months) for patients with mixed or unknown treatment history receiving golimumab (GLM) treatment. (A) Psoriatic arthritis patient populations32 35 52 and (B) rheumatoid arthritis patient populations.32 35

Comparative persistence

In total, 12 studies reported persistence of golimumab and other biological treatments.27–31 37–41 43 53 All of these studies included data on adalimumab and etanercept, while nine studies included data on certolizumab pegol28–30 37–41 53 and three on infliximab.27 28 43 Four studies reported effect size of the difference in persistence, formulated as hazard ratios (HRs), using golimumab as the reference treatment.28 38–40 Of these, golimumab persistence was significantly higher in two,38 40 four,28 38–40 three38–40 and one28 study when compared with adalimumab, certolizumab pegol, etanercept and infliximab, respectively. An overview of studies reporting differences in effect size HR is provided in figure 5, in which an HR>1 indicates that golimumab persistence is significantly higher than that of its comparator. The results shown in figure 5 were further confirmed in studies reporting significant differences in persistence compared with golimumab as p values only; for adalimumab,29–31 53 etanercept30 and infliximab,43 respectively. Remaining comparisons in persistence between golimumab and adalimumab, certolizumab pegol, etanercept or infliximab showed no significant differences.27–31 39 41 53 A detailed summary of comparative persistence data can be found in online supplementary table 6.
Figure 5

Effect size of differences in persistence between golimumab (GLM) and comparators, expressed as HRs. All HR calculations were made using GLM persistence data as reference. (A) GLM versus adalimumab; (B) GLM versus certolizumab pegol; (C) GLM versus etanercept and (D) GLM versus infliximab. HR>1 indicates that comparator persistence is lower than reference (GLM) treatment persistence.

Effect size of differences in persistence between golimumab (GLM) and comparators, expressed as HRs. All HR calculations were made using GLM persistence data as reference. (A) GLM versus adalimumab; (B) GLM versus certolizumab pegol; (C) GLM versus etanercept and (D) GLM versus infliximab. HR>1 indicates that comparator persistence is lower than reference (GLM) treatment persistence. Compared with adalimumab, golimumab was reported to have significantly higher persistence in seven studies,29–31 38 40 41 53 while two studies found no significant difference between the two comparators28 39; three studies reported persistence for adalimumab and golimumab, but did not provide any p values or results from statistical tests between them.27 37 43 Compared with certolizumab pegol, four studies found no significant difference in persistence,29 30 41 53 while four other studies found that golimumab had a significantly higher persistence28 38–40; one study did not provide any information on statistical significance between patients receiving certolizumab pegol or golimumab.37 Compared with etanercept, golimumab was found to have higher persistence in five studies30 38–40 53; four studies could not detect any significant difference between the two comparators28 29 31 41 and three studies did not provide any information on statistical significance between patients receiving etanercept or golimumab.27 37 43 Compared with infliximab, golimumab was found to have significantly higher persistence in one study28; no significant difference in persistence in another27 and numerically higher persistence in a third study, which did not report any information on statistical significance.43 Overall, golimumab shows statistically higher persistence or at least numerically higher persistence when compared with other TNFi treatments based on reported HR and p-values.

Predictors of persistence

Thirteen studies reported on the predictors of persistence among patients taking golimumab.32 34 35 38–40 43 45 46 48 49 51 52 Eight studies found females to be significantly less persistent.32 34 38–40 43 48 49 Biological-experienced patients were significantly less persistent in six studies38–40 45 46 52 while four studies found no difference between biological-naïve and biological-experienced patients.34 35 46 51 ‘No concomitant DMARDs’ were found to be a predictor of low persistence in three studies.32 43 48 A summary of the reported predictors of persistence across studies is presented in table 2.
Table 2

Summary of predictors of persistence reported

AuthorDiseaseTimePredictors of persistence
Iannone et al, 201732 Mixed IMRD24 months Risk of non-persistence SpA Female—HR=4.1, 95% CI 1.35 to 12.77 (reference category: male) Without extra-articular manifestations—HR=4.6, 95% CI 1.03 to 20.49 (reference category: with extra-articular manifestations) RA Failing to achieve a good EULAR response at 3 months—HR=3.0, 95% CI 1.26 to 7.30 (reference category: achieving good EULAR response at 3 months) PsA Duration of disease—HR=0.9, 95% CI 0.95 to 1.00 (reference category: NR) Golimumab monotherapy without combination with cDMARDs—HR=2.2, 95% CI 1.13 to 4.30 (reference category: golimumab monotherapy with combination with cDMARDs)
Mourão et al, 201734 RA12 months Risk of persistence Female—HR=0.34, 95% CI 0.13 to 0.85, p value=0.021 (reference category: male) Age at the beginning of treatment with biologics (GLM)—HR=0.95, 95% CI 0.95 to 1.02, p value=0.355 (reference category: NR) Years of disease until treatment with biologics (GLM)—HR=1.00, 95%  CI 0.93 to 1.08, p value=0.977 (reference category: NR)
Fautrel, 201738 AS12 months Risk of non-persistence Female—HR=1.377 (1.300 to 1.458) p<0.0001 (reference category: male) Age—HR=0.995 (0.993 to 0.997) p<0.0001 (reference category: NR) Deprived socioeconomic status—HR=1.543 (1.288 to 1.849) p<0.0001 (reference category: non-deprived socioeconomic status) Number of comorbid conditions (per additional condition)—HR=1.150 (1.113 to 1.187) p<0.0001 Biotherapy line (per additional line)—HR=1.176 (1.124 to 1.231) p<0.0001 Hospital admission for IMRD—HR=0.883 (0.792 to 0.984) p=0.0249 (reference category: NR)
Fautrel, 201739 PsA12 months Risk of non-persistence Female—HR=1.480 (1.301 to 1.684) p<0.0001 (reference category: male) Deprived socioeconomic status—HR=1.486 (1.197 to 1.843) p=0.0003 (reference category: non-deprived socioeconomic status) Biotherapy line (per additional line)—HR=1.422 (1.188 to 1.702) p=0.0001
Fautrel, 201740 RA12 months Risk of non-persistence Female—HR=1.610 (1.367 to 1.897) p<0.0001 (reference category: male) Number of comorbid conditions (per additional condition)—HR=1.122 (1.086 to 1.160) p<0.0001 Biotherapy line (per additional line)—HR=1.364 (1.296 to 1.432) p<0.0001 Hospital admission for IMRD—HR=0.932 (0.871 to 0.997) p=0.0419 (reference category: NR) Visits to rheumatologist 1–4—HR=0.681 (0.578 to 0.803) p<0.0001 (reference category: 0 visits) Visits to rheumatologist>4—HR=0.704 (0.599 to 0.828) p<0.0001 (reference category: 0 visits)
Thomas et al, 201835 Mixed IMRD36 months Risk of non-persistence RA VAS global (per 10 mm)—HR=1.23 (1.01 to 1.50) p=0.04 PsA Swollen joint count—HR=1.10 (1.00 to 1.21) p=0.04 (reference category: NR) ESR—HR=0.98 (0.96 to 0.99) p=0.02 (reference category: NR) AS VAS (per 10 mm)—HR=2.2 (1.05 to 4.61) p=0.04
Michelsen et al, 201848 Mixed IMRD48 months Risk of non-persistence RA—none PsA Female—HR 1.63 (1.18 to 2.25) p=0.003 (reference category: male) No concomitant sDMARDs—HR=1.39 (1.01 to 1.90) p=0.04 (reference category: concomitant sDMARDs) AxSpA Female—HR 1.97 (1.50 to 2.60) p<0.001 (reference category: male)
García-Porrúa, 201843 PsA60 months Risk of non-persistence—lack of concomitant MTX and gender female—not GLM specific
Serrano-Benavente, 201851 Mixed IMRD48 monthsPatients with nr-AxSpA without objective inflammation had worse persistence compared with AS patients (HR=2.47, 95% CI 1.09 to 5.57, p<0.03)
Iannone et al, 201846 RA24 months Risk of non-persistence—lack of MTX at baseline (HR=1.62, 95 CI 1.07 to 2.46, p=0.02) (reference category: MTX at baseline) GLM-naïve status (HR=0.62, 95 CI 0.39 to 0.99, p=0.04) (reference category: GLM-experienced status)
Serrano-Benavente, 201852 PsA48 months Risk of non-persistence Age, mean evolution time and previous biological
Hernández, 201845 Mixed IMRD60 months Risk of non-persistence Second biological drugHR=2.30 (95% CI 1.16 to 4.55) p=0.02 (reference category: first biological drug) Third biological drugHR=3.92 (2.07 to 7.39) p<0.01 (reference category: first biological drug) Concomitant MTXHR=0.55 (0.33 to 0.91) p=0.02 (reference category: no concomitant MTX) CorticosteroidsHR=2.83 (1.72 to 4.66) p<0.01 (reference category: no corticosteroids)
Santo, 201749 Mixed IMRD24 months Risk of non-persistence Female—HR=2.5, 95% CI 1.5 to 4.2, p=0.0001 (reference category: male)

AS, ankylosing spondylitis; AxSpA, axial spondyloarthritis; cDMARDs, conventional disease-modifying antirheumatic drugs; ESR, erythrocyte sedimentation rate; EULAR, European League Against Rheumatism; GLM, golimumab; IMRD, immune-mediated rheumatic disease; MTX, methotrexate; NR, not reported; nr-AxSpA, non-radiographic-AxSpA; PsA, psoriatic arthritis; RA, rheumatoid arthritis; sDMARDs, synthetic DMARDs; VAS, visual analogue scale.

Summary of predictors of persistence reported AS, ankylosing spondylitis; AxSpA, axial spondyloarthritis; cDMARDs, conventional disease-modifying antirheumatic drugs; ESR, erythrocyte sedimentation rate; EULAR, European League Against Rheumatism; GLM, golimumab; IMRD, immune-mediated rheumatic disease; MTX, methotrexate; NR, not reported; nr-AxSpA, non-radiographic-AxSpA; PsA, psoriatic arthritis; RA, rheumatoid arthritis; sDMARDs, synthetic DMARDs; VAS, visual analogue scale.

Discussion

This study provides an up-to-date overview of persistence with golimumab among IMRD patients in Europe. By excluding randomised controlled trial data, the included studies provide valuable information on the real-world persistence of golimumab, as well as information on comparative persistence between golimumab and other TNFi treatments. Hence, the current study offers opportunities for understanding the treatment landscape and improving disease management among IMRD patients. From a clinical perspective, a high level of persistence with treatment is desirable as it may serve as a proxy for treatment efficacy, safety and patient satisfaction.16–18 Furthermore, increased persistence is of interest from a payer perspective, as non-persistent RA patients have been found to incur higher healthcare costs 12 months after switching treatment, compared with patients who are persistent with their index treatment.54 The pooled persistence at 12 months ranged between 58.1% (PsA patients regardless of treatment history) and 75.7% (biological-naïve RA patients); at 24 months, persistence ranged between 43% (AS patients regardless of treatment history) and 69.6% (biological-naïve PsA patients). Several studies found that the persistence rate of golimumab was higher than that of adalimumab, certolizumab pegol, etanercept and/or infliximab, and no study found golimumab to have a significantly lower persistence than its comparators. Taken together, this overview suggests that golimumab offers a good balance of efficacy, safety and patient satisfaction regardless of current treatment line. When looking at differences in persistence by indication, golimumab persistence appears to be somewhat higher among RA and PsA patients compared with AxSpA patients; however, as the number of studies is low (particularly for AxSpA), comparisons should be interpreted with caution. In fact, several studies found no differences in persistence between patients with different indications.35 45 48 Similarly, although the current SLR did not allow for any statistical comparisons to be made, the data appear to indicate that golimumab persistence does not differ substantially between biological-naïve and biological-experienced IMRD patients. The most common predictor of non-persistence was being female, resulting in a risk of lower persistence. While being biological-experienced was the second most reported predictor of non-persistence, several studies found no difference in the risk of non-persistence when comparing biological-naïve and biological-experienced, a finding that may further support comparable golimumab persistence in IMRD patients with or without previous exposure to a biological anti-TNF agent. The current study has a few limitations. First, the search string did not include the golimumab brand name Simponi, which may have affected the number of studies identified as part of the Ovid and conference database search. Also, while eligible abstracts from choice conferences were included, other grey literature was not searched since the focus of the current review was directed towards peer-reviewed literature and findings reported in a conference setting. Second, studies included in this SLR did not allow for a meta-analysis to be performed, as there were too few studies reporting persistence by indication for any particular time point. Because no meta-analysis was performed, no formal assessment of selection bias was done; however, study quality was assessed using the Newcastle-Ottawa scale for cohort studies,26 the results of which are provided in online supplementary file S1. Overall, study quality did not vary significantly across included studies. Compared with RA and PsA patient populations, the paucity of studies was particularly pronounced for AxSpA, highlighting the need for further research. As several of the included studies were conference abstracts, the amount of available information was, at times, limited. Notably, both Belhassen et al 36 and Fautrel39 report the same persistence rate at 12 months among PsA patients (50.8%); however, since it could not be determined whether the same population was used, both studies were included in the current review. The sparsity of information regarding the definition of persistence used in the included studies is also worth noting. A minority of studies (8/27) provide information on the number of days allowed to elapse without re-filling a previously finished prescription before a patient is considered non-persistent; however, the majority (19/27) do not state what gap size was allowed before patients were deemed to have discontinued treatment. Furthermore, known gap size ranged from 30 days32 to 91 days,38–40 complicating the interpretation of interstudy persistence comparisons. In addition, since no statistical comparison of baseline characteristics was made between populations included in the pooled persistence estimate, the estimates are potentially exposed to bias provided that baseline characteristics, such as gender, age, comorbidity profile, disease activity and duration, and so on, affect persistence. In addition, since pooled persistence estimates were calculated based on relative sample size, studies not reporting the number of golimumab patients were not included in the weighted average. Similarly, pooled estimates were only calculated for studies that reported persistence at 12 and 24 months. Finally, patient populations eligible for inclusion were further restricted to studies performed in Europe; while this increases the likelihood that drug administration and dosing is homogenous and in accordance with EMA-approved drug use, it is not possible to extrapolate the findings to non-European patient populations. Also, there are local variations in healthcare systems across Europe with regard to out-of-pocket payments, and so on, which may have had an impact on treatment persistence. Indeed, Giacomelli et al show differences in the use of golimumab when comparing Italian RA patients to patients from other countries.55 Similarly, the language restriction (English only) confers an element of publication bias. The study also has a number of strengths. By restricting the included studies to those reporting real-world data, as opposed to findings made in randomised controlled trials, this review offers an overview of persistence data obtained from actual clinical practice. In a real-world setting, a number of factors interact to determine treatment persistence, for example, adverse effects, loss of efficacy and patient preference. By using persistence as the outcome of interest, this review captures all of the aforementioned factors, regardless of the underlying reason behind treatment switch or cessation. The concept of persistence is, therefore, a simple and useful way of investigating various reasons for treatment switch and discontinuation simultaneously. Furthermore, by grouping persistence data by indication and by investigating differences in persistence between different types of TNFi, the current review highlights differences in persistence between various patient groups and TNFi treatments. Finally, this study adds to previous studies of similar design by expanding the number of included studies, and thereby the available data, detailing real-world persistence among IMRD patients receiving golimumab treatment. As TNFi treatments are increasingly used in clinical practice, the amount of real-world data will continue to grow and provide valuable information regarding relevant aspects of routine care. While information regarding statistical predictors of persistence was extracted and summarised as part of the current review, underlying reasons for treatment switch or discontinuation as noted by a healthcare professional were not. Hence, it would be of interest to investigate reasons for the observed differences in persistence as part of future studies. Adverse effects, treatment efficacy and dose, out-of-pocket payments, patient characteristics (including, but not restricted to, the presence or absence of comorbidities) and patient preference with regard to eg, mode of administration have all been shown to impact the likelihood of treatment switch and/or discontinuation.56–58 Similarly, varying dosing intervals among subcutaneously administered TNFi treatments are relevant to consider. In the context of this review, golimumab is injected once monthly; adalimumab, every 2 weeks; certolizumab pegol, every 2–4 weeks; and etanercept, once or twice weekly. As patients have been shown to prefer less frequent injections,56 59 this difference might be expected to have an impact on patient preference and hence, persistence with treatment. The interaction between patient characteristics and reasons for differences in persistence would similarly be of interest to investigate, as it may yield valuable information regarding potential variations in the probability of remaining persistent with treatment between subgroups of patients. This type of information would be useful to healthcare practitioners, as it might be an initial step towards using different preventative measures directed at different patient groups for increasing treatment persistence.

Conclusions

In conclusion, the data from the studies included in this SLR indicate that in European routine clinical practice, golimumab has a high persistence at 12 and 24 months across different IMRD indications regardless of the treatment line.
  39 in total

1.  Two-year retention rate of golimumab in rheumatoid arthritis, psoriatic arthritis and ankylosing spondylitis: data from the LORHEN registry.

Authors:  Maria Manara; Roberto Caporali; Ennio G Favalli; Vittorio Grosso; Fabiola Atzeni; Piercarlo Sarzi Puttini; Roberto Gorla; Chiara Bazzani; Enrico Fusaro; Raffaele Pellerito; Pier Andrea Rocchetta; Luigi Sinigaglia
Journal:  Clin Exp Rheumatol       Date:  2017-07-27       Impact factor: 4.473

2.  High 3-year golimumab survival in patients with rheumatoid arthritis, ankylosing spondylitis and psoriatic arthritis: real world data from 328 patients.

Authors:  Konstantinos Thomas; Irini Flouri; Argiro Repa; Kalliopi Fragiadaki; Petros P Sfikakis; Christos Koutsianas; Evripidis Kaltsonoudis; Paraskevi V Voulgari; Alexandros A Drosos; Evangelia Petrikkou; Prodromos Sidiropoulos; Dimitrios Vassilopoulos
Journal:  Clin Exp Rheumatol       Date:  2017-11-09       Impact factor: 4.473

Review 3.  Golimumab therapy of rheumatoid arthritis: an overview.

Authors:  I Zidi; A Bouaziz; W Mnif; A Bartegi; F A Al-Hizab; N B Amor
Journal:  Scand J Immunol       Date:  2010-08       Impact factor: 3.487

Review 4.  Effectiveness and toxicity considerations in outcome directed therapy in rheumatoid arthritis.

Authors:  J F Fries
Journal:  J Rheumatol Suppl       Date:  1996-03

Review 5.  Medication compliance and persistence: terminology and definitions.

Authors:  Joyce A Cramer; Anuja Roy; Anita Burrell; Carol J Fairchild; Mahesh J Fuldeore; Daniel A Ollendorf; Peter K Wong
Journal:  Value Health       Date:  2008 Jan-Feb       Impact factor: 5.725

6.  Longterm drug therapy for rheumatoid arthritis in seven rheumatology private practices: I. Nonsteroidal antiinflammatory drugs.

Authors:  T Pincus; S B Marcum; L F Callahan; R F Adams; J Barber; W F Barth; G V Gordon; J W Huston; J R Polk; J C Whelton
Journal:  J Rheumatol       Date:  1992-12       Impact factor: 4.666

7.  Effectiveness profiles and dose dependent retention of traditional disease modifying antirheumatic drugs for rheumatoid arthritis. An observational study.

Authors:  Daniel Aletaha; Josef S Smolen
Journal:  J Rheumatol       Date:  2002-08       Impact factor: 4.666

8.  Golimumab administered subcutaneously every 4 weeks in ankylosing spondylitis: 5-year results of the GO-RAISE study.

Authors:  Atul Deodhar; Jürgen Braun; Robert D Inman; Désirée van der Heijde; Yiying Zhou; Stephen Xu; Chenglong Han; Benjamin Hsu
Journal:  Ann Rheum Dis       Date:  2014-11-11       Impact factor: 19.103

9.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

Authors:  David Moher; Alessandro Liberati; Jennifer Tetzlaff; Douglas G Altman
Journal:  PLoS Med       Date:  2009-07-21       Impact factor: 11.069

Review 10.  Persistence with golimumab in immune-mediated rheumatic diseases: a systematic review of real-world evidence in rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis.

Authors:  Axel Svedbom; Chiara Storck; Sumesh Kachroo; Marinella Govoni; Ahmed Khalifa
Journal:  Patient Prefer Adherence       Date:  2017-04-07       Impact factor: 2.711

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  5 in total

1.  Factors associated with long-term retention of treatment with golimumab in rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis: an analysis of the Spanish BIOBADASER registry.

Authors:  Manuel Pombo-Suarez; Carlos Sanchez-Piedra; Blanca Garcia-Magallón; Ana Pérez-Gómez; Sara Manrique-Arija; Raquel Martín-Doménech; María Colazo; Cristina Campos; José Campos; Javier Del Pino-Montes; Maria J Arteaga; Luis Cea-Calvo; Federico Díaz-González; Juan J Gómez-Reino
Journal:  Clin Rheumatol       Date:  2021-04-27       Impact factor: 2.980

2.  Golimumab as the First-, Second-, or at Least Third-Line Biologic Agent in Patients with Rheumatoid Arthritis, Psoriatic Arthritis, or Ankylosing Spondylitis: Post Hoc Analysis of a Noninterventional Study in Germany.

Authors:  Klaus Krüger; Gerd Rüdiger Burmester; Siegfried Wassenberg; Matthias H Thomas
Journal:  Rheumatol Ther       Date:  2020-04-17

3.  Impact of Non-Persistence on Healthcare Resource Utilization and Costs in Patients With Immune-Mediated Rheumatic Diseases Initiating Subcutaneous TNF-Alpha Inhibitors: A Before-and-After Study.

Authors:  Nuria Carballo; Enric Garcia-Alzórriz; Olivia Ferrández; María Eugenia Navarrete-Rouco; Xavier Durán-Jordà; Carolina Pérez-García; Jordi Monfort; Francesc Cots; Santiago Grau
Journal:  Front Pharmacol       Date:  2021-11-29       Impact factor: 5.810

4.  Real-world effectiveness and persistence of reference etanercept versus biosimilar etanercept GP2015 among rheumatoid arthritis patients: A cohort study.

Authors:  Nuria Carballo; Carolina Pérez García; Santiago Grau; Jordi Monfort; Xavier Durán-Jordà; Daniel Echeverría-Esnal; Olivia Ferrández
Journal:  Front Pharmacol       Date:  2022-10-03       Impact factor: 5.988

5.  Persistence on biologic DMARD monotherapy after achieving rheumatoid arthritis disease control on combination therapy: retrospective analysis of corrona registry data.

Authors:  Dimitrios A Pappas; Heather J Litman; Tamara Lesperance; Greg Kricorian; Elaine Karis; Sabrina Rebello; Winnie Hua; Neil A Accortt; Scott Stryker
Journal:  Rheumatol Int       Date:  2020-09-02       Impact factor: 2.631

  5 in total

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