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Record W3021221396 · doi:10.1136/bjsports-2019-101872

Which treatment is most effective for patients with Achilles tendinopathy? A living systematic review with network meta-analysis of 29 randomised controlled trials

2020· review· en· W3021221396 on OpenAlexaff
Arco C van der Vlist, Marinus Winters, Adam Weir, Clare L. Ardern, Nicky J. Welton, Deborah M Caldwell, Jan A.N. Verhaar, Robert‐Jan de Vos

Bibliographic record

VenueBritish Journal of Sports Medicine · 2020
Typereview
Languageen
FieldMedicine
TopicTendon Structure and Treatment
Canadian institutionsInstitute of Population and Public Health
FundersMedical Research CouncilAspetar Orthopaedic and Sports Medicine HospitalAalborg UniversitetPfizer
KeywordsTendinopathyMedicineMeta-analysisPhysical therapyAchilles tendonRandomized controlled trialSystematic reviewMEDLINEAlternative medicinePhysical medicine and rehabilitationSurgeryInternal medicineTendonPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To provide a consistently updated overview of the comparative effectiveness of treatments for Achilles tendinopathy. DESIGN: Living systematic review and network meta-analysis. DATA SOURCES: Multiple databases including grey literature sources were searched up to February 2019. STUDY ELIGIBILITY CRITERIA: Randomised controlled trials examining the effectiveness of any treatment in patients with both insertional and/or midportion Achilles tendinopathy. We excluded trials with 10 or fewer participants per treatment arm or trials investigating tendon ruptures. DATA EXTRACTION AND SYNTHESIS: Reviewers independently extracted data and assessed the risk of bias. We used the Grading of Recommendations Assessment, Development and Evaluation to appraise the certainty of evidence. PRIMARY OUTCOME MEASURE: The validated patient-reported Victorian Institute of Sport Assessment-Achilles questionnaire. RESULTS: 29 trials investigating 42 different treatments were included. 22 trials (76%) were at high risk of bias and 7 (24%) had some concerns. Most trials included patients with midportion tendinopathy (86%). Any treatment class seemed superior to wait-and-see for midportion Achilles tendinopathy at 3 months (very low to low certainty of evidence). At 12 months, exercise therapy, exercise+injection therapy and exercise+night splint therapy were all comparable with injection therapy for midportion tendinopathy (very low to low certainty). No network meta-analysis could be performed for insertional Achilles tendinopathy. SUMMARY/CONCLUSION: In our living network meta-analysis no trials were at low risk of bias and there was large uncertainty in the comparative estimates. For midportion Achilles tendinopathy, wait-and-see is not recommended as all active treatments seemed superior at 3-month follow-up. There seems to be no clinically relevant difference in effectiveness between different active treatments at either 3-month or 12-month follow-up. As exercise therapy is easy to prescribe, can be of low cost and has few harms, clinicians could consider starting treatment with a calf-muscle exercise programme. PROSPERO REGISTRATION NUMBER: CRD42018086467.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.039
metaresearch head score (Gemma)0.110
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.039
Threshold uncertainty score0.208

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0390.110
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0270.038
Bibliometrics0.0150.009
Science and technology studies0.0010.001
Scholarly communication0.0060.005
Open science0.0030.003
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0070.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.039
GPT teacher head0.327
Teacher spread0.289 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations196
Published2020
Admission routes1
Has abstractyes

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