Examining the Association of Body Mass Index and Complications When Including Sentinel Lymph Node Biopsy in Minimally Invasive Surgery for Endometrial Intraepithelial Neoplasia
Bibliographic record
Abstract
Objective: We aimed to study the association of patient’s body mass index (BMI) with postoperative complications in patients surgically treated for endometrial intraepithelial neoplasia, with and without sentinel lymph node biopsy. Methods: A cohort study using the prospective National Surgical Quality Improvement Program database. Women with endometrial intraepithelial neoplasia on postoperative pathology who underwent minimally invasive hysterectomy from January 2012 to December 2020 were included. The cohort was dichotomized based on the performance of sentinel lymph node biopsy. We analyzed postoperative complications based on the World Health Organization (WHO) categories of BMI. Results: A total of 4428 patients met the inclusion criteria. Of those, 584 (13.2%) had sentinel lymph node biopsy. Overall, 76.5% of patients (n = 3389) were obese (BMI > 30.0), with 1840 (41.6%) patients of BMI ≥ 40.0. The rate of any complications was 6.0% (n = 264), major complications 2.3% (n = 101), and minor complications 4.2% (n = 187). When comparing the rate of any complications between patients who had sentinel lymph node biopsy vs. those without a sentinel lymph node biopsy procedure, stratified by BMI category, there was no association between sentinel lymph node biopsy performance and any complications in any of the BMI categories. In a multivariable binary regression analysis, BMI and the performance of sentinel lymph node biopsy were not independently associated with any complication [adjusted odds ratio (aORs) 1.001, 95% confidence interval (CI) (0.98–1.01), and aORs 1.1, 95% CI (0.82–1.65), respectively]. In an analysis of the cohort of patients who underwent sentinel lymph node biopsy, there was no association between the rates of any major or minor complications with BMI categories or obesity. ROC analyses for the association between BMI and occurrence of any major or minor complications had a low performance. Conclusions: In minimally invasive surgery for endometrial intraepithelial neoplasia, there is no association between body mass index and increased risk for postoperative complications when performing hysterectomy with sentinel lymph node biopsy versus hysterectomy alone.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".