Endoscopy Reporting Standards
Bibliographic record
Abstract
OBJECTIVES: The Canadian Association of Gastroenterology (CAG) recently published consensus recommendations for safety and quality indicators in digestive endoscopy. The present article focuses specifically on the identification of key elements that should be found in all electronic endoscopy reports detailing recommendations adopted by the CAG consensus group. METHODS: A committee of nine individuals steered the CAG Safety and Quality Indicators in Endoscopy Consensus Group, which had a total membership of 35 voting individuals with knowledge on the subject relating to endoscopic services. A comprehensive literature search was performed with regard to the key elements that should be found in an electronic endoscopy report. A task force reviewed all published, full-text, adult and human studies in French or English. RESULTS: Components to be entered into the standardized report include identification of procedure, timing, procedural personnel, patient demographics and history, indication(s) for procedure, comorbidities, type of bowel preparation, consent for the procedure, pre-endoscopic administration of medications, type and dose of sedation used, extent and completeness of examination, quality of bowel preparation, relevant findings and pertinent negatives, adverse events and resulting interventions, patient comfort, diagnoses, endoscopic interventions performed, details of pathology specimens, details of follow-up arrangements, appended pathology report(s) and, when available, management recommendations. Summary information should be provided to the patient or family. CONCLUSION: Continuous quality improvement should be the responsibility of every endoscopist and endoscopy facility to ensure improved patient care. Appropriate documentation of endoscopic procedures is a critical component of such activities.
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 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 | 0.091 | 0.235 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.019 | 0.016 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.008 | 0.006 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.074 | 0.074 |
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".