Medial Patellofemoral Ligament Repair with Suture Tape Augmentation: A Case Series With Five-Year Follow Up.
Bibliographic record
Abstract
INTRODUCTION: The medial patellofemoral ligament (MPFL) is the main restraining force against lateral patellar displacement in the first 20 degrees of knee flexion and is often disrupted following patellar subluxation or dislocation. MPFL reconstruction is commonly performed to restore patellar stability but requires autograft harvest with associated donor site morbidity. The aim of this study was to assess the five-year outcomes of MPFL repair performed with suture tape augmentation. MATERIALS AND METHODS: All patients who underwent isolated MPFL repair for recurrent patellar instability between 2011 and 2017 were included. Patients requiring any additional surgery, such as osteotomy, were excluded. Patient-reported outcomes were measured at two-year follow up using the Knee Injury and Osteoarthritis Outcome (KOOS) Score, Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), Visual Analogue Pain Scale (VAS-pain), Veterans RAND 12-Item Health Survey (VR-12), Marx Activity Scale, and an overall satisfaction questionnaire. At the end of the study period, any complications or secondary surgeries were determined. RESULTS: Eighteen patients underwent MPFL repair with one lost to follow up. There was a significant improvement in all subscales of the KOOS scoring systems, the WOMAC functional score, and the VR-12 physical score. A significant decrease was seen in the VAS-pain score. A non-significant decrease was seen in the Marx activity scale from pre-injury. The majority of patients reported satisfaction with reduction in pain and return to sporting activities. There were no complications with no further instability episodes. CONCLUSION: This is the first study that describes the five-year follow-up results of patients treated with MPFL repair and suture tape augmentation. Our results show that this technique is an alternative treatment to traditional MPFL reconstruction with comparable outcomes and avoidance of autograft harvest.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".