Clinical efficacy and radiological changes of proximal fibular osteotomy for medial compartment knee osteoarthritis: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: We aimed to analyze the clinical efficacy, safety, and radiological changes of proximal fibular osteotomy (PFO) for medial compartment knee osteoarthritis (MKOA). METHODS: Since the establishment of the databases, we searched all studies involving proximal fibular osteotomy in PubMed, Proquest, Scopus, and Web of Science. The outcomes of interest were visual analog scale (VAS), knee function scores, radiological results, and complication rates. Case-control studies were assessed using the Newcastle-Ottawa scale, and randomized controlled trials were independently evaluated using the Cochrane Collaboration's assessment tool. Heterogeneity was tested using I², and a fixed or random-effects model was selected for meta-analysis based on the heterogeneity results. Of the 21 studies included, 17 were case-control studies and 4 were RCTs. RESULTS: A total of 21 studies, including 1006 knees, were included in the meta-analysis. PFO can effectively alleviate the most troubling pain for patients (VAS: mean difference MD = -4.25 [-5.51; -3.00]) and significantly improve postoperative knee function (Hedges' g = 2.41 [1.35-3.47]). Moreover, due to the minimal surgical trauma, the incidence of postoperative complications is low, with sensory abnormalities of the common peroneal nerve being the most common adverse event (5.93%; 95% CI: 2.15-11.25%), followed by common peroneal nerve palsy (2.25%; 95% CI: 0.14-6.14%), fracture (0.56%; 95% CI: 0-1.74%), and only two cases of infection were reported in all included studies, both of which recovered within half a year. In addition, PFO can effectively improve the radiological outcomes, with an increase in HKA (MD = 1.73 [0.33; 3.13]), a decrease in FTA (MD = -3.83 [-4.05; -3.62]), an increase in knee joint space (MD = 2.66 mm[2.38; 2.94]), and an increase in the ratio of medial to lateral knee joint space (MD = 0.16 [0.15; 0.18]). CONCLUSION: In the field of MKOA treatment, PFO has shown a promising prospect. The clinical function scores and radiological assessments improved after PFO in this meta-analysis, indicating that this surgical method can significantly improve patients' symptoms, correct the varus deformity of the lower limb alignment, and is safe. However, it must be pointed out that the quality of evidence supporting this conclusion is still low, and radiological studies are relatively few. Therefore, future studies need to be conducted in more diverse patient populations, incorporating more radiological indicators and providing higher-quality clinical evidence.
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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 | 0.012 | 0.022 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.020 | 0.033 |
| Bibliometrics | 0.009 | 0.008 |
| 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".