| Literature DB >> 33112865 |
Florian Giesche1, Daniel Niederer2, Winfried Banzer1, Lutz Vogt2.
Abstract
STUDYEntities:
Mesh:
Year: 2020 PMID: 33112865 PMCID: PMC7592749 DOI: 10.1371/journal.pone.0240192
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1PRISMA flow diagram.
Risk of bias assessment of CT and RCT.
| Shaarani et al. [ | Keays et al. [ | Kim et al. [ | Zdunski et al. [ | |||||
|---|---|---|---|---|---|---|---|---|
| self-reported | objective | self-reported | objective | self-reported | objective | self-reported | objective | |
| Sequence generation | Low risk | Low risk | High risk | High risk | Low risk | Low risk | High risk | - |
| Allocation sequence concealment | Low risk | Low risk | High risk | High risk | unclear | unclear | High risk | - |
| Blinding of participants and personnel | unclear | unclear | unclear | unclear | unclear | unclear | unclear | - |
| Blinding of outcome assessment | Low risk | High risk | Low risk | Low risk | unclear | unclear | High risk | - |
| Incomplete outcome data | High risk | High risk | Low risk | Low risk | Low risk | Low risk | unclear | - |
| Selective outcome reporting | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | - |
| Other potential threats to validity | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | Low risk | - |
Risk of bias assessment of cohort studies.
| Grindem et al. [ | Failla et al. [ | |||
|---|---|---|---|---|
| self-reported | objective | self-reported | objective | |
| Was selection of exposed and non-exposed cohorts drawn from the same population? | - | - | ||
| Probably yes | Probably yes | |||
| Probably no | Probably no | |||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
| Can we be confident in the assessment of exposure? | - | - | ||
| Probably yes | Probably yes | |||
| Probably no | Probably no | |||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
| Can we be confident that the outcome of interest was not present at start of study? | Definitely yes (low risk of bias) | - | Definitely yes (low risk of bias) | - |
| Probably yes | Probably yes | |||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
| Did the study match exposed and unexposed for all variables that are associated with the outcome of interest or did the statistical analysis adjust for these prognostic variables? | Definitely yes (low risk of bias) | - | Definitely yes (low risk of bias) | - |
| Probably yes | ||||
| Probably no | ||||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
| Can we be confident in the assessment of the presence or absence of prognostic factors? | Definitely yes (low risk of bias) | - | Definitely yes (low risk of bias) | - |
| Probably no | Probably no | |||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
| Can we be confident in the assessment of outcome? | Definitely yes (low risk of bias) | - | Definitely yes (low risk of bias) | - |
| Probably yes | Probably yes | |||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
| Was the follow up of cohorts adequate? | - | Definitely yes (low risk of bias) | - | |
| Probably yes | Probably yes | |||
| Probably no | ||||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
| Were co-interventions similar between groups? | Definitely yes (low risk of bias) | Definitely yes (low risk of bias) | ||
| Definitely no (high risk of bias) | Definitely no (high risk of bias) | |||
Characteristics for which data were extracted for each study included into qualitative and quantitative synthesis.
| Study (year) | Participants (diagnosis, N analyzed, age (mean, SD), gender) | Measuring points /follow-up period | Treatment (n) | Control (n) | Outcomes | Statistics |
|---|---|---|---|---|---|---|
| Failla et al. (2016) [ | Primarily unilateral ACL-R awaiting reconstruction; n = 2.187; 24,5 ± 9,5 years; 54,5% male | Baseline before (MOON) and after impairment resolution (DOC; before training) 2 years post reconstruction | ||||
| Grindem et al. (2015) [ | Primarily unilateral ACL-R awaiting reconstruction; n = 2.774; 25,1 ± 7,5 years; 48,5% male | no baseline pre reconstruction 2 years post reconstruction | ANCOVA: | |||
Comparison of KOOS in the two cohorts preoperatively and 2 years postoperatively (covariates: sex, age, time from injury to surgery, presence of cartilage and meniscus injury, Baseline KOOS) Stratification of preoperative KOOS subscale scores (Low/high scores were defined as scores below/above the median preoperative scores) Calculation of sex-specific KOOS cutoff points for each subscale to quantify the percentage of patients with KOOS within the normative range (18–34 yrs. age group) | ||||||
| Do Kyung Kim et al. (2015) [ | Isolated ACL Rupture awaiting reconstruction; n = 80; 27.8 ± 5.7 years, 100% male | Baseline 3 month post reconstruction | Prehabilitation, Rehabilitation (n = 40) | Usual care, Rehabilitation (n = 40) | Independent sample T-Tests: | |
The highest peak torque value for each velocity was compared with the uninjured side (percent of strength deficit). For the single-leg hop test, the mean average distance was quantified by limb symmetry index (LSI) Repeated measures analysis to investigate the change in knee extensor strength and single-leg hop distance between groups | ||||||
| → therefrom derived | ||||||
SI of single-leg hop distance | ||||||
| Keays et al. (2006) [ | Chronic, unilateral ACL rupture awaiting reconstruction; n = 36; 29 ± 8 years; 69,4% male | Baseline Post training (pre reconstruction) | single leg standing balance | ANOVA: | ||
2 x 3, side-to-side differences for strength, knee stability and balance were calculated (injured vs. uninjured side) Raw values were compared for the subjective questionnaires and the three agility tests. (Group matching for age, gender and activity level) | ||||||
| Shaarani et al. (2013) [ | Isolated ACL tear awaiting reconstruction; n = 23; 18–45 years (inclusion criteria); 100% male | Baseline Post-training (pre reconstruction) 3 month post reconstruction | Prehabilitation, Rehabilitation (n = 14) | Usual care, Rehabilitation (n = 9) | CSA, MHC, mRNA, IGF-1, MuRF-1, MAFbx | ANOVA: |
One-way ANOVA was used to evaluate potential group differences in the baseline characteristics Mixed-design for repeated measures was used to analyze potential differences between groups over time | ||||||
| Zduński et al. 2015 [ | Isolated ACL Rupture awaiting reconstruction; n = 30; 40 ± 8 years, 56.7% male | Baseline Post training (pre reconstruction) | Prehabilitation, Rehabilitation (n = 15) | Usual care, Rehabilitation (n = 15) | Self-reported knee function assessed by the Lysholm-Gillquist scale | Students t-Test and Mann-Whitney U tests were applied to detect differences from baseline to pre-surgery assessment within and between groups |
Moon = Multicentre Orthopaedic Outcomes Network; DOC = Delaware-Oslo ACL Cohort; NAR = Norwegian Research Centre for Active Rehabilitation; NKLR = Norwegian Knee Ligament Registry; IKDC = International Knee Documentation Committee; KOOS = Knee injury and Osteoarthritis Outcome Score; ADLs = Activities of daily living; ACL = Anterior cruciate ligament; ACLD = anterior cruciate ligament-deficient; QoL = Quality of life; LSI = Limb symmetry index; CSA = Cross-sectional area; MHC = Myosin heavy chain; mRNA = messenger RNA; IFG-1 = Insulin-like growth factor 1; MuRF-1 = Muscle RING-finger protein-1; MAFbx = Muscle atrophy f-box.
Descriptive results of the individual studies included into qualitative and quantitative synthesis.
| Study (year) | Results |
|---|---|
| Failla et al. (2016) [ | |
| •No differences between groups in age, sex, or body mass index | |
| •Significantly higher proportion of concomitant meniscal surgery performed (p = .029) in the MOON cohort | |
| •DOC patients had significantly higher baseline IKDC compared to MOON cohort (70 ± 13 vs. 50 ± 17; p < .001), which exceeded the MCID | |
| •The preoperative training group had significantly higher baseline KOOS values across all subscales than MOON cohort patients (Pain: 84 vs. 73, Symptoms: 75 vs. 67, ADL: 93 vs. 82, Sports/Recreation: 66 vs. 48, Quality of Life: 51 vs. 37). | |
| •After controlling for baseline IKDC scores, DOC patients continued to have significantly higher IKDC scores than MOON cohort (84 ± 25 vs. 71 ± 32; p < .001) | |
| •Post hoc power analysis revealed the ability to detect a difference of 2 points on the IKDC between groups | |
| •No significant group x meniscal procedure (p = .345) or group x graft type (p = .073) interactions on 2-year IKDC scores | |
| •After controlling for baseline KOOS values, DOC patients continued to have higher and clinically meaningful differences across all KOOS subscale scores compared with MOON cohort (Pain: 94 vs. 78, Symptoms: 89 vs. 72, ADL: 98 vs. 82, Sports/Recreation: 85 vs. 70, Quality of Life: 76 vs. 64). | |
| RTS rates were significantly higher in the DOC compared with MOON cohort (p < .001) | |
| Grindem et al. (2015) [ | |
| •No significant differences between the two cohorts in age, sex, time to surgery, presence or severity of cartilage or meniscus injuries | |
| •NAR-patients had significantly better preoperative KOOS in all subscales (differences in all subscales except Symptoms were clinically relevant): Pain: 87 vs. 75.9, Symptoms: 82.6 vs. 73.6, ADL: 94.7 vs. 85.1, Sports/Recreation: 69.1 vs. 45.2, Quality of Life: 49.6 vs. 36). | |
| •NAR cohort still showed significantly better KOOS in all subscales, and clinically relevant differences were found in KOOS Symptoms, Sports and QoL (largest group differences again for KOOS—Sports; 17.7 points) | |
| •After controlling for the preoperative KOOS, the NAR cohort had significantly better KOOS scores (Pain: 93.5 vs. 86, Symptoms: 89.2 vs. 77.4, ADL: 98 vs. 92.5, Sports/Recreation: 85.1 vs. 67.6, Quality of Life: 78.6 vs. 67.7). | |
| •In patients who had preoperative scores below the median score, the NAR cohort showed 20.6 higher KOOS—Sports scores (p = .003), and 12.3 points higher KOOS—QoL scores (p = .006) | |
| •A higher percentage rate of patients in the NAR cohort scored within the normative range in the different KOOS subscales compared to NKLR-cohort | |
| Do Kyung Kim et al. (2015) [ | •Patients of IG showed a significantly lower post-operative loss of knee extensor strength deficits both at an angular velocity of 60°/s (Prehab: 22.8±13.7 to 28.5±9.0, p = .018), and 180°/s (16.6±10.6 to 23.3±9.0, p = .033) compared to CG (60°/s: 23.5±15.8 to 36.5±10.7, p > .05; 180°/s: 17.5±11.9 to 27.9±12.6, p > .05). |
| •The IG also showed significant improvements in the single leg hop for distance test (higher limb symmetries; p = .029) in comparison to CG. | |
| Keays et al. (2006) [ | |
| •No significant differences in any measure existed between the two injured groups (Exception: hamstring strength measured at 60°/s). | |
| •Significant differences in all measures between each injured group and the control group (Exception: hamstring strength measured at 120°/s, eyes-open and foam balance tests). | |
| •Significant differences existed between the treated (Group T) and untreated (Group NT) injured groups for quadriceps strength (p < .001), standing balance measure, for the three agility measures (p = .002; p = .003; p = .001) and for the Noyes and Trust questionnaires (p < .001 for both). | |
| •No differences existed between the treated and healthy, control group (Group C) for quadriceps and hamstring strength, balance measures or agility measures (p>.05). However, differences still existed for objective knee joint stability testing and for subjective testing. | |
| •Differences between the untreated group (Group NT) and control group (Group C) remained unchanged. | |
| •Significant improvements in quadriceps strength for Group T (p < .01) from strength indices (60°/s: 0.85 to 1.02; 120°/s: 0.86 to 1.03) compared to NT (60°/s: 0.74 to 0.75; 120°/s: 0.85 to 0.81) and C (60°/s: 1.01 to 0.99; 120°/s: 1.04 to 1.05). | |
| •No significant improvements of Group T, NT and C in terms of hamstring strength. | |
| •Significant decrease in side-to-side translation measured at the 89 N testing force in Group T (p < .003) | |
| •Balance improved significantly in Group T for eyes-closed (p < .001) as well as for eyes-open (p = .036) | |
| •Group T improved significantly in all agility measures (p < .05) | |
| •Group T only demonstrated significant improvements in scores for both the Noyes (57±14 to 70±6, p < .05, d = 1.1) and Trust (4.7±3.1 to 8.3±2.9, p < .05, d = 1.2) assessments (p < .001) | |
| •No significant changes in the other both groups (exception Group NT balance had worsened; p = .002) | |
| •Were found for quadriceps strength (improved limb symmetries) at 60°/s (p < .001) and 120°/s (p < .001), for knee joint stability (p = .041), for standing balance with eyes-open (p = .002) and eyes closed (p = .006; F = 6.13) and foam balance (p = .042), for functional performance such as the shuttle-run (p = .001), the side-step (p = .021), the carioca test (p = .004) and subjective function such as the Noyes score (p < .001) and the Trust score (p < .001) | |
| Shaarani et al. (2013) [ | |
| •The single-legged hop test results improved significantly in the injured limb compared with baseline (p = .001). Mean single leg-hop test scores were higher preoperatively in the exercise group than the control group (p = .001). | |
| •At 12 weeks postoperatively, the rate of decline in the single-legged hop test was reduced in the exercise group compared with control (p = .001). | |
| •Quadriceps peak torque increased significantly with similar gains in CSA in both the injured (p = .001) and uninjured limbs (p = .009) after prehabilitation compared with baseline. | |
| •However, there was a significant decrease in quadriceps peak torque of the injured limb in the exercise group at 12 weeks postoperatively compared with baseline (p = .042) and preoperative time points (p < .001). No statistically significant differences between both groups for the injured limbs at any time point. | |
| •Compared with baseline, preoperative hamstring peak torque increased significantly in the injured limb in both the exercise (p = .034) and control group (p < .001). No significant differences were seen between the exercise and control groups at both pre- and postoperative time points. | |
| •The mean modified Cincinnati scores were increased significantly from baseline to pre-operative and to 12 weeks postoperative time points in the exercise group only (p = .004; p = .001). There was a significantly higher mean score (p = .004) in the exercise group compared with the control group only at 12 weeks postoperatively. | |
| •The mean time to return to sport was shorter for the control and exercise group. The difference almost reached statistical significance (p = .055). | |
| Zduński et al. 2015 [ | The self-reported knee function (Lysholm score) improved in both groups. At pre-prehabilitation, patients from the prehabilitation group reported poor knee function. At the pre-surgery measurement time point, the mean score had increased significantly. The difference was statistically significant (p < .001). At pre-prehabilitation, the control group reported significant higher self-reported knee function than the prehabilitation group. At the second measurement, directly before the ACL-reconstruction, the mean score improved. However, a greater pre-post improvement of the injured knee joint was found in patients from the prehabilitation group. |
Moon = Multicentre Orthopaedic Outcomes Network; DOC = Delaware-Oslo ACL Cohort; NAR = Norwegian Research Centre for Active Rehabilitation; NKLR = Norwegian Knee Ligament Registry; IKDC = International Knee Documentation Committee; KOOS = Knee injury and Osteoarthritis Outcome Score; Group T = Injured group receiving preoperative physiotherapy treatment; Group NT = Injured group receiving no preoperative physiotherapy treatment; Group C = Uninjured control group; IG = Intervention group; CG = Control group; MCID = Minimal clinically important differences; ADL = Activities of daily living; QoL = Quality of life; CSA = Cross-sectional area.