Unnecessary bilateral salpingo-oophorectomy at the time of hysterectomy and potential for ovarian preservation
Bibliographic record
Abstract
OBJECTIVE: To evaluate predictors of bilateral salpingo-oophorectomy at hysterectomy and determine rate of unnecessary bilateral salpingo-oophorectomy. METHODS: Retrospective review of hysterectomies at six Ontario, Canada hospitals from July 2016 to June 2018. Data was extracted from health records coding and electronic medical records. Of patients with concurrent bilateral salpingo-oophorectomy, age, preoperative diagnoses, surgical factors (presence of endometriosis/adhesions), and surgeon training (fellowship/no fellowship) were recorded. Chi-square tests compared indicated and nonindicated bilateral salpingo-oophorectomy cases based on preoperative diagnosis. Criteria for unnecessary bilateral salpingo-oophorectomy were: age under 51 years, benign preoperative diagnosis, and absence of intraoperative endometriosis and adhesions. RESULTS: Concurrent bilateral salpingo-oophorectomy occurred in 749/2,656 (28%) cases with 509/749 (68%) indicated based on preoperative diagnosis. There was interhospital variation in rate of indicated bilateral salpingo-oophorectomy based on preoperative diagnosis (45.3%-76.9%, χ2P < 0.001). Concurrent bilateral salpingo-oophorectomy at academic centers was more likely to have preoperative indications versus those at community hospitals (70% vs 63%, OR 1.42, 95% CI 1.02-1.97, P = 0.04). BSO performed by fellowship-trained surgeons were more likely to be indicated than those performed by generalists (75% vs 63%, OR 1.76, 95% CI 1.26-2.44, P = 0.001). Of patients without preoperative indications for bilateral salpingo-oophorectomy, 105/239 (44%) were under 51 years of age, of which 59 (58%) had no intraoperative endometriosis/adhesions. Ovarian preservation may have been reasonable in 8% (59/749). CONCLUSIONS: Concurrent bilateral salpingo-oophorectomy performed by generalists and at community hospitals was less likely to have preoperative indications. Ovarian preservation was potentially possible for 8%.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".