Effect of Hysterectomy on Colonoscopy Completion Rate
Bibliographic record
Abstract
BACKGROUND: Several studies show that colonoscopies are technically more difficult to perform in women than men, especially in women who have undergone abdominal and gynecological surgeries. A review of the literature indicates an increased rate of noncompletion of colonoscopies in most cases; however, no studies have investigated the procedural complication rate, sedation requirements and perception of pain in colonoscopies. OBJECTIVE: To determine whether women who have undergone a previous hysterectomy have a higher noncompletion rate when undergoing a colonoscopy, and to assess whether there is a higher percentage of complications. Furthermore, the present study also aimed to ascertain whether these women required more sedation and whether their perception of pain is greater than that of women who did not undergo previous abdominal surgeries. METHODS: The present study was a prospective cohort study of women, 45 to 80 years of age, who underwent colonoscopy (n=508). A total of 229 patients were eligible for the study; they completed a questionnaire, and were subsequently divided into control and hysterectomy groups. Gastroenterologists performed all procedures. After colonoscopy, the patient and endoscopist completed a pain perception questionnaire. Cecal intubation rates were also recorded. RESULTS: No significant difference for cecal intubation rates were detected between the two groups (95.7% and 98.7% in hysterectomy and control groups, respectively; P=0.176). The crude OR for the success rate was 0.29 (95% CI 0.05 to 1.90). There was no significant difference between groups regarding sedation or the type of colonoscope. No correlation between the gastroenterologists' evaluation of pain and patients' pain was observed. CONCLUSION: Hysterectomy did not significantly diminish the cecal intubation rate, and there was no detectable difference in pain perception or sedative dose. Colonoscopy remains an excellent screening and diagnostic tool for all women.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.005 | 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".