Nationwide Trends of Bowel Obstruction and Intussusception in Endometriosis Patients [11H]
Bibliographic record
Abstract
INTRODUCTION: One of the complications of endometriosis rarely described is bowel obstruction (BO). The purpose of our study was to evaluate the incidence of BO among women with endometriosis, the trend and the demographic characteristics. METHODS: We used the data from the Healthcare Cost and Utilization Project—Nationwide Inpatient Sample (HCUP-NIS). We studied women with endometriosis aged 15 to 55-years from 2005-2014. Those with neoplasms in the genitourinary or gastrointestinal system were excluded. RESULTS: Of a total 278,613 women with endometriosis, 1386 had BO or intussusception resulting in an overall incidence of 0.5%. Although the number of hospital admission related to endometriosis were decreasing, there was a significant increase in the incidence of bowel obstruction/intussusception during the time period from 0.3% to 0.9%. Moreover, women with BO tend to be white and with higher income (P<.05). The incidence of BO in those with endometriosis in the pelvic/peritoneum and the intestine were comparable. Also, those with BO tend to have lower BMI (P<.05). In addition, there was no association between diabetes mellitus, hypertension, dyslipidemia or hospital region, and the incidence of BO. CONCLUSION: Although there is a downtrend in the incidence of hospital admission related to endometriosis, the incidence of endometriosis specifically in the intestine or the rectovaginal wall as well as the incidence of bowel obstruction has been slightly increasing.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".