Understanding pre-operative staging and surgical practice in advanced endometriosis: A survey of Canadian gynaecologists
Bibliographic record
Abstract
Study objective: To determine the pre-operative evaluation, surgical management and referral practices in patients with advanced stage endometriosis by Canadian gynaecologists. Design: A survey of obstetricians and gynaecologists. Setting: The survey was initiated and piloted at an academic centre by general gynaecologists and endometriosis specialists. Intervention: Electronically distributed to 733 individuals by the Society of Obstetricians and Gynaecologists of Canada. This included all members, irrespective of subspecialty and practice patterns. Measurement: Responses were collected using a web-based survey tool and analysed using Excel. Results: The response rate was 15.7% (115 respondents). Pre-operatively, 62.2% of respondents perform a transvaginal ultrasound on all of their patients, while magnetic resonance imaging is reserved for patients with physical exam findings suspicious for advanced endometriosis (26.7%) or in whom the surgeons suspect deep infiltrating endometriosis, bowel, bladder or uterosacral disease (54.4%). Most surgeons (81.4%) report encountering advanced disease that they did not suspect pre-operatively <10% of the time. Although 40% of respondents would refer their patients in whom they suspected deep infiltrating endometriosis, endometriomas, bowel, bladder or uterosacral ligament involvement to an endometriosis specialist prior to any attempted surgery, 54.4% would never refer without previously confirming the diagnosis at laparoscopy. In contrast, only 15% felt comfortable treating advanced endometriosis completely at time of laparoscopy (including deep infiltrating endometriosis, bladder and bowel disease). Post-operatively, 67.8% of respondents refer patients to an endometriosis specialist only if their disease was not appropriately treated surgically, while 23.3% do not refer any of their patients. Conclusion: Our study identified significant variability in the management of advanced endometriosis in Canada. Understanding these patterns will help us formulate a more universal investigation and management plan, which may improve the identification of patients pre-operatively with advanced stage endometriosis that could benefit from treatment by an endometriosis specialist.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".