Global trends in training and credentialing guidelines for gastrointestinal endoscopy: a systematic review
Bibliographic record
Abstract
Abstract Background and study aims Credentialing, the process through which an institution assesses and validates an endoscopist’s qualifications to independently perform a procedure, can vary by region and country. Little is known about these inter-societal and geographic differences. We aimed to systematically characterize credentialing recommendations and requirements worldwide. Methods We conducted a systematic review of credentialing practices among gastrointestinal and endoscopy societies worldwide. An electronic search as well as hand-search of World Endoscopy Organization members’ websites was performed for credentialing documents. Abstracts were screened in duplicate and independently. Data were collected on procedures included in each document (e. g. colonoscopy, ERCP) and types of credentialing statements (procedural volume, key performance indicators (KPIs), and competency assessments). The primary objective was to qualitatively describe and compare the available credentialing recommendations and requirements from the included studies. Descriptive statistics were used to summarize data when appropriate. Results We screened 653 records and included 20 credentialing documents from 12 societies. Guidelines most commonly included credentialing statements for colonoscopy, esophagogastroduodenoscopy (EGD), and ERCP. For colonoscopy, minimum procedural volumes ranged from 150 to 275 and adenoma detection rate (ADR) from 20 % to 30%. For EGD, minimum procedural volumes ranged from 130 to 1000, and duodenal intubation rate of 95 % to 100%. For ERCP, minimum procedural volumes ranged from 100 to 300 with selective duct cannulation success rate of 80 % to 90 %. Guidelines also reported on flexible sigmoidoscopy, capsule endoscopy, and endoscopic ultrasound. Conclusions While some metrics such as ADR were relatively consistent among societies, there was substantial variation among societies with respect to procedural volume and KPI statements.
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 | 0.022 | 0.128 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.020 | 0.026 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".