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Record W1976877235 · doi:10.1136/gut.2011.239301.26

A new comprehensive scale for ranking complexity of endoscopic procedures: Table 1

2011· article· en· W1976877235 on OpenAlexaboutno aff
Peter B. Cotton, Joseph Romagnuolo

Bibliographic record

VenueGut · 2011
Typearticle
Languageen
FieldMedicine
TopicEsophageal and GI Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsRanking (information retrieval)Quality (philosophy)Scale (ratio)Computer scienceColonoscopyLexiconMedicineMedical physicsInformation retrievalArtificial intelligenceInternal medicineColorectal cancer

Abstract

fetched live from OpenAlex

Introduction Working parties of the ASGE Quality Committee recently published a proposed new lexicon for adverse events (complications), and a separate extensive review of risk factors. The complexity of procedures also affects outcomes. A scale of complexity for ERCP was developed in 20001 and has been used in a modified form.2 Our goal was to update that scale and to develop one for the other main procedures. Methods We made lists of all of the techniques and contexts in which they are used and refined them after review by members of the ASGE Quality Committee and their clinical colleagues. The final lists were then distributed to 75 gastroenterologists in USA, Canada and Britain who were asked to score the items on a scale of 1–4, with 4 being the most complex. They were asked also whether or not to raise the item by one level (to a maximum of 4) if the procedure was done out of normal working hours, or in a child aged less than 3 years, or one that had been unsuccessful before. Results The data for upper endoscopy and for colonoscopy are shown. Those for EUS and ERCP will be presented Conclusion A scale for ranking the complexity of the common endoscopic procedures has been developed and is ready to be tested and validated. This complements lexicons for adverse events and for risk factors that have been published recently from the Quality committee of the ASGE. Table 1 OC-026 Upper endo Level 1 Diagnostic EGD, with or without biopsy/cytology. 2 Dilation esophageal stricture; Treat vascular lesions, hemostasis; Gastric polypectomy, stalked <2 cm; Nutritional support (catheter placement, PEG); Foreign body removal; Push enteroscopy. 3 Gastric polypectomy (stalked >2 cm); Esophageal stent; Dilation duodenal stricture; Duodenal stent; Tumour and Barrett's ablation; Endoscopically assisted Achalasia dilation; Device-assisted enteroscopy (e.g., balloon). 4 Percutaneous Jejunostomy; Resect sessile lesions (EMR/ESD); Crico-pharnygeal myotomy. Colonoscopy 1 Diagnostic (sampling, tattooing), Colonoscopy via ostomy. 2 Polypectomy, stalked <2 cm; Treat vascular lesions, hemostasis; Decompression tube; Banding varices and hemorrhoids. 3 Polypectomy, stalked >2 cm; Stricture dilation; Colonic stent. 4 Percutaneous endoscopic colostomy; Colonic EMR and ESD.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.318
Threshold uncertainty score0.256

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.108
GPT teacher head0.311
Teacher spread0.203 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2011
Admission routes1
Has abstractyes

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