Influence of Graft Source on Postoperative Activity and Joint Laxity in Posterior Cruciate Ligament Reconstruction: A Systematic Review
Bibliographic record
Abstract
PURPOSE: To compare the clinical and functional outcomes of allograft and autograft reconstruction in patients with posterior cruciate ligament (PCL) deficiency. METHODS: The MEDLINE, Embase, and Cochrane Library databases were used to identify all relevant articles. Clinical outcomes including International Knee Documentation Committee, Tegner, and Lysholm scores; joint laxity; and posterior tibial displacement were evaluated. RESULTS: Among the 145 unique articles identified during the title screening, 25 studies published between 2002 and 2016 with a combined population of 900 patients were deemed eligible for inclusion in the review. Of the 900 patients, 603 were treated with autograft and 297 were treated with allograft PCL reconstruction. Five of the included studies directly compared autograft and allograft PCL reconstruction. Most studies found postoperative functional outcomes and joint laxity to improve postoperatively regardless of graft source. With only 1 exception, the included comparative studies found no significant postoperative difference in any of the functional outcome scores between patients treated with allograft and those treated with autograft. Two comparative studies found autograft reconstruction to result in significantly less posterior laxity than in the allograft group, whereas 2 comparative studies found no significant difference in posterior laxity between the 2 groups. CONCLUSIONS: PCL reconstruction results in improved functional outcome scores and joint laxity regardless of graft source. Current studies suggest there is no significant difference in postoperative functional outcomes between patients treated with autograft and those treated with allograft. Patients treated with autograft have donor-site morbidity that is not associated with allograft reconstruction. Some evidence suggests that autograft reconstruction may result in reduced posterior laxity relative to allograft reconstruction. The magnitude of this finding, however, may not be clinically significant. Our review found that decision making based on the current literature is at high risk of potential bias. LEVEL OF EVIDENCE: Level IV, systematic review of Level I to IV studies.
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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 | 0.006 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.007 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 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".