Hamstring autografts demonstrate either similar or inferior outcomes to quadriceps or bone–patellar tendon–bone autografts in revision anterior cruciate ligament reconstruction: A systematic review of comparative studies
Bibliographic record
Abstract
PURPOSE: To evaluate the clinical outcomes in patients undergoing revision anterior cruciate ligament reconstruction (r-ACLR) using hamstring tendon (HT) autografts with those using either quadriceps tendon (QT) or bone-patellar tendon-bone (BPTB) autografts or allografts. METHODS: Three databases were searched on 8 August 2023. The authors adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Revised Assessment of Multiple Systematic Reviews (R-AMSTAR) guidelines and the Cochrane Handbook for Systematic Reviews of Interventions. Data on demographics, surgical details, patient-reported outcome measures (PROMs), rates of instability, failure and return to sport (RTS) were extracted. RESULTS: Eleven studies comprising 859 patients were included in this review. Five studies compared HT and QT autografts. One study each reported greater IKDC scores (p = 0.04) and Tegner scores (p = 0.04) in the QT group, while one study each reported higher anterior translation (p = 0.04), rates of positive pivot shift (p = 0.03) and rates of failure (p = 0.03) in the HT group. Six studies compared HT and BPTB autografts with one study each reporting greater Lysholm scores (p = 0.02) and less side-to-side anterior laxity (p < 0.01) in the BPTB group. Two studies compared HT autografts with allografts with only one study reporting a faster time to RTS in the HT group than the allograft group (p < 0.001). All other comparisons were not significant. CONCLUSIONS: HT autografts result in either similar or inferior outcomes in r-ACLR when compared to QT or BPTB autograft options. Allografts resulted in similar outcomes to HT autografts apart from greater time to RTS for r-ACLR. LEVEL OF EVIDENCE: Level III.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.039 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.011 | 0.014 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".