The Use of Balloon-assisted Enteroscopy at a Large Volume Centre: A Retrospective Analysis
Bibliographic record
Abstract
OBJECTIVES: Balloon-assisted enteroscopy (BAE) is increasingly used for the evaluation of small bowel disorders. We quantified local diagnostic and therapeutic yields of BAE in patients with suspected small bowel diseases. METHODS: Adult patients undergoing BAE between January 2010 and July 2015 at McGill University Health Centre were included. Procedures were identified using a prospectively maintained database. Patients were excluded if procedure report was unavailable. Electronic medical records were reviewed. Analyses were restricted to patients who did not have a previous BAE. RESULTS: BAE was performed in 453 patients, including 421 anterograde cases. Patients had a mean age of 61.0 ± 17.5 years. Most common indications for referral were obscure gastrointestinal bleeding (OGIB) (n=207, 45.7%), abnormal imaging (n=88, 19.4%), suspected small bowel neoplasia (SBN) (n=39, 8.6%) and Crohn's disease (CD) (n=31, 6.8%). A diagnosis was established in 216 procedures (47.7%). A pre-endoscopic indication of CD (odds ratio [OR]: 3.78; 95% Confidence Interval [CI], 1.60-8.90), OGIB (OR: 3.69, 95% CI, 2.03-6.71), suspected SBN (OR: 2.45; 95% CI, 1.06-5.65) and previous VCE (OR: 9.33; 95% CI, 3.24-26.90) were associated with abnormal findings. A therapeutic procedure was performed in 126 cases (28.3%). OGIB (OR: 7.00; 95% CI, 3.83-12.81), previous video capsule endoscopy (VCE) (OR: 7.86; 95% CI, 2.93-21.04) and suspected SBN (OR: 6.30; 95% CI, 2.58-21.04) were associated with performance of a therapeutic intervention. Complication rate was 1.6%, with bleeding in seven cases and one perforation. CONCLUSIONS: In carefully selected patients, such as those with OGIB, Crohn's disease and previous VCE, BAE was a safe procedure that led to the identification of abnormal findings and therapeutic interventions.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".