Morbid Obesity Increases the Risk of Postoperative Wound Complications, Infection, and Repeat Surgical Procedures Following Upper Extremity Limb Salvage Surgery for Soft Tissue Sarcoma
Why this work is in the frame
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Bibliographic record
Abstract
Background: Obesity is a known risk factor for wound complications; however, unlike elective upper extremity procedures, where obesity can be modified preoperatively, excision of soft tissue sarcomas (STSs) is not elective, and as such, obesity cannot be modified. There is a paucity of data concerning the impact of obesity on wound healing in upper extremity sarcoma surgery. Methods: A total of 261 (159 males and 102 females) patients with a STS of the upper extremity from 2006-2014 were reviewed. The mean age and body mass index (BMI) were 56 (18-97) years and 26.6 (15.4-40.8) kg/m 2 , respectively. Sixty-nine patients (26%) were classified as obese (BMI ⩾30 kg/m 2 ): class I (obese, BMI = 30-34.9 kg/m 2 ; n = 48, 18%), class II (severely obese, BMI = 35.0-39.9 kg/m 2 ; n = 16, 6%), and class III (morbidly obese, BMI ≥ 40 kg/m 2 ; n = 5, 2%). Functional outcomes were also compared between obese and nonobese patients using the Musculoskeletal Tumor Society (MSTS) 1993 rating system and Toronto Extremity Salvage Scores (TESS). Results: Forty-nine patients (19%) sustained a wound dehiscence, delayed healing, or infection. Class III obesity increased the risk of wound complications (hazard ratio [HR] = 8.19, 95% confidence interval [CI] = 1.96-22.96, P < .001) and infection (HR = 10.09, 95% CI = 1.60-34.83, P = .01). There was no difference in the mean TESS (93 vs 90, P = .13) or MSTS93 (95 vs 93, P = .39) between obese and nonobese patients. Conclusions: The results of this study indicate morbid obesity significantly increased the risk of a postoperative wound complication and infection. However, following upper extremity limb salvage surgery, obese patients should expect to have excellent functional outcome.
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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 | 0.000 | 0.001 |
| 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 it