SAGES guidelines for the use of laparoscopy during pregnancy
Bibliographic record
Abstract
BACKGROUND: When pregnant patients present with nonobstetric pathology, the physicians caring for them may be uncertain about the optimal management strategy. The aim of this guideline is to develop evidence-based recommendations for pregnant patients presenting with common surgical pathologies including appendicitis, biliary disease, and inflammatory bowel disease (IBD). METHODS: The Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) Guidelines Committee convened a working group to address these issues. The group generated five key questions and completed a systematic review and meta-analysis of the literature. An expert panel then met to form evidence-based recommendations according to the Grading of Recommendations Assessment, Development, and Evaluation approach. Expert opinion was utilized when the available evidence was deemed insufficient. RESULTS: The expert panel agreed on ten recommendations addressing the management of appendicitis, biliary disease, and IBD during pregnancy. CONCLUSIONS: Conditional recommendations were made in favor of appendectomy over nonoperative treatment of appendicitis, laparoscopic appendectomy over open appendectomy, and laparoscopic cholecystectomy over nonoperative treatment of biliary disease and acute cholecystitis specifically. Based on expert opinion, the panel also suggested either operative or nonoperative treatment of biliary diseases other than acute cholecystitis in the third trimester, endoscopic retrograde cholangiopancreatography rather than common bile duct exploration for symptomatic choledocholithiasis, applying the same criteria for emergent surgical intervention in pregnant and non-pregnant IBD patients, utilizing an open rather than minimally invasive approach for pregnant patients requiring emergent surgical treatment of IBD, and managing pregnant patients with active IBD flares in a multidisciplinary fashion at centers with IBD expertise.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".