The benefits of bariatric surgery in obese patients with hip and knee osteoarthritis: a systematic review
Bibliographic record
Abstract
Osteoarthritis is a common progressive disease leading to joint pain and severe disability. It is a complex multifactorial disease leading to damage of cartilage, deposition of subchondral bone matrix and release of pro-inflammatory cytokines. Obesity is an emerging epidemic and also an important risk factor for osteoarthritis. Weight loss has been shown to improve pain and function in hip and knee joints with osteoarthritis. Bariatric surgery currently is the only evidence-based approach to marked weight loss in obese individuals. However, there is currently limited literature to evaluate the role of bariatric surgery in hip and knee osteoarthritis. The objective of the present study was to systematically review the literature regarding the effectiveness of bariatric surgery in obese adult patients in improving large weight-bearing joint (hip and knee) osteoarthritis. Published English-language manuscripts were considered for review inclusion. A comprehensive search of electronic databases using broad search terms was completed. From a total of 400 articles, eight articles were identified. A total of six studies were included for qualitative analysis. A general trend was identified indicating improved hip and knee osteoarthritis following marked weight loss secondary to bariatric surgery. This systematic review demonstrates that bariatric surgery may benefit obese patients with hip or knee osteoarthritis. However, this review identifies the need for randomized controlled trials to clarify the role and indications for bariatric surgery.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".