Outcomes following surgical management of patellar instability in hypermobile patients are favourable compared to non‐operative management in non‐hypermobile patients: A systematic review and meta‐analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose: To assess the outcomes of surgical management of patellar instability in hypermobile patients. Methods: Three online databases (PubMed, MEDLINE and EMBASE) were searched from inception to 27 September 2024, to identify studies investigating the surgical management options for patellar instability in hypermobile patients. Data pertaining to patient demographics, patient management, redislocation rates and Kujala scores were abstracted. Weighted means and meta-analyses were conducted to compare rates of redislocation as well as post-operative Kujala scores. However, data pooling was not performed in cases of high heterogeneity. The quality of included studies was assessed using the MINORS criteria. Results: A total of nine studies and 303 patients were included in this review. The pooled mean post-operative redislocation rate was 9% at a mean follow-up time of 45.4 months. The mean post-operative redislocation rate ranged from 7.3% to 28.5% following medial patellofemoral reconstruction (MPFLR). The mean post-operative Kujala score ranged from 64.3 to 95.3. The post-operative complication rate was 11.7%. Conclusion: This systematic review demonstrated that surgical management, particularly MPFLR, of patellar instability in hypermobile patients may result in lower redislocation rates and favourable post-operative outcomes compared to non-operative management in non-hypermobile patients. The current available literature for this patient population is highly heterogeneous, indicating the need for high-quality studies to more accurately assess intrinsic risk factors and surgical techniques. Level of Evidence: Level IV.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it