Body mass index and sex and their effect on patient-reported outcomes following cartilage repair: an insight from the International Cartilage Regeneration and Joint Preservation Society Patient Registry
Bibliographic record
Abstract
<h2>Abstract</h2><h3>Introduction</h3> Chondral injuries in the knee, whether isolated or accompanying other injuries are found in as many as 60% of arthroscopic examinations. Although current research has identified negative outcomes for patients with a body mass index (BMI) >30kg/m<sup>2</sup> undergoing chondral repair, our understanding of the relationship between presurgery BMI and postoperative patient-reported outcomes across all BMI categories remains lacking. <h3>Objectives</h3> Through the International Cartilage Regeneration and Joint Preservation Society (ICRS) Patient Registry, this study aimed to explore this relationship, taking into account sex variations. <h3>Methods</h3> The ICRS Patient Registry was used to extract the data for this study. The outcomes in focus were the Knee Osteoarthritis Outcome Score (KOOS) and EQ-5D scores. Pearson and Spearman correlation methods were applied and the level of significance was set as <mml:math><mml:mi>α</mml:mi></mml:math>= 0.05. <h3>Results</h3> Of 3194 Registry patients at the time of data extraction, 1757 had undergone a surgical procedure, and 336 of these had complete KOOS or EQ-5D scores available for 6-week, 6-month, and 1-year postoperation. Analyses revealed that neither male (average BMI – 28.2 kg/m<sup>2</sup>) nor female (average BMI – 25.3 kg/m<sup>2</sup>) data sets indicated a correlation between BMI and the patient-reported outcomes. <h3>Conclusions</h3> BMI, irrespective of sex, is not correlated with patient-reported outcomes in patients enrolled in the ICRS Registry with a BMI <30 kg/m<sup>2</sup>. Although BMIs in the overweight classification were not associated with poorer outcomes than BMIs in the normal classification, the current literature continues to support the notion that a BMI >30 kg/m<sup>2</sup> is linked to poor cartilage repair and failure.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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".