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S634 Global Trends in Training and Credentialing Guidelines for Gastrointestinal (GI) Endoscopy: A Systematic Review

2022· review· en· W4316086728 on OpenAlexaffabout
Nasruddin Sabrie, Samir Seleq, Hoomam Homsi, Rishad Khan, Nikko Gimpaya, Rishi Bansal, Samir C. Grover

Bibliographic record

VenueThe American Journal of Gastroenterology · 2022
Typereview
Languageen
FieldMedicine
TopicColorectal Cancer Screening and Detection
Canadian institutionsWestern UniversitySt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsCredentialingMedicineAccreditationEndoscopyMedical physicsIntubationMEDLINESurgeryMedical education

Abstract

fetched live from OpenAlex

Introduction: Credentialing in GI endoscopy is not a universally standardized process. National guidelines may provide a framework for local training, however in certain settings, training committees set minimal competency requirements that must be met before a clinician can be accredited to practice independently. There is a paucity of literature assessing the inter-societal and geographic variability in guidelines and training requirements in endoscopy. Our aim was to systematically review the available credentialing guidelines proposed by different GI endoscopy societies and affiliated training committees internationally Methods: We conducted a systematic review according to the PRISMA guidelines. A comprehensive literature search was performed for credentialing guidelines for GI endoscopy from inception until January 2022. Two reviewers screened and one reviewer abstracted data using a pre-defined data collection form. Results: From the 653 records obtained from our search, 20 credentialing guidelines from 12 different GI societies were ultimately included in the review. These guidelines encompassed the following procedures and outlined the following key-performance indicators; a) Colonoscopy: the recommended minimum number of procedures performed ranged from 150-275 with a minimum cecal intubation and adenoma detection rate of 85-90% and 20-30% respectively; b) EGD: the minimum number of procedures prior to credentialing ranged from 130-1000, the minimum duodenal intubation rate ranged from 95-100%, and the range for minimum number of upper GI bleeds managed was 20-45 (in addition to other procedural KPIs); c) ERCP: the recommended minimum number of procedures prior to credentialing ranged from 100-300 cases with a minimum selective duct cannulation rate of 80-90%. Guidelines for flexible sigmoidoscopy, EUS and capsule endoscopy were also obtained. (Table) Conclusion: There is a general concordance amongst the various international GI societies with regards to minimum procedural volume and performance in key procedural tasks prior to credentialing, however the use of validated education assessment tools was lacking in the majority of guidelines. Additional KPI’s need to be explored for less routinely performed procedures such as EUS and capsule endoscopy. Table 1. - Key performance indicators for credentialing colonoscopy, EGD and ERCP by GI endoscopy societies Procedure Performance Metric (min) Range GI Endoscopy societies included Colonoscopy Procedural volume 150-275 ESGE, EuropeJAG, United KingdomASGE, United StatesKSGE, South Korea Cecal intubation rate 85-90% Adenoma detection rate 20-30% Polypectomy (volume) 20-50 EGD Procedural volume 130-1000 PSG, PolandSSG, SwitzerlandCAG, CanadaFOCUS, Canada Duodenal intubation rate 95-100% Endoscopic hemostasis 20-45 ERCP Procedural volume 100-300 Conjoint Committee, AustraliaNZCC, New ZealandERCP Working Group, SingaporeAcademy of Medicine, Singapore Selective duct cannulation 80-90% Biliary stent placement (volume) 25-60

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 imitation

Not 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.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.132
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.028
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.132
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0230.025
Science and technology studies0.0010.001
Scholarly communication0.0030.004
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0080.001

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.

Opus teacher head0.126
GPT teacher head0.416
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

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Citations1
Published2022
Admission routes2
Has abstractyes

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