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Quality of Endoscopic Documentation in Cases of Barrettʼs Esophagus: A Retrospective Analysis

2016· article· en· W2978498363 on OpenAlexaff
Soleimani Maryam, Clarence Wong, Pam Blakely

Bibliographic record

VenueThe American Journal of Gastroenterology · 2016
Typearticle
Languageen
FieldMedicine
TopicEsophageal Cancer Research and Treatment
Canadian institutionsAlberta Health ServicesUniversity of Alberta
Fundersnot available
KeywordsMedicineBarrett's esophagusEsophagusEndoscopyEsophageal adenocarcinomaIntestinal metaplasiaGeneral surgeryRetrospective cohort studyGERDBarrett's oesophagusMedical recordInternal medicineAdenocarcinomaGastroenterologyRefluxDysplasiaDiseaseCancer

Abstract

fetched live from OpenAlex

Introduction: Barrett's esophagus (BE) is incontrovertibly linked to the development of esophageal adenocarcinoma (EAC). The five-year survival amongst patients with EAC remains poor, and therefore screening and endoscopic surveillance are of utmost importance in detecting BE, and preventing progression to EAC. The American College of Gastroenterology (ACG) 2015 Guidelines for Management of BE, and the American Society of Gastrointestinal Endoscopy/ACG 2014 Guidelines on Quality Indicators for Endoscopic Procedures recommend a number of key metrics for the description of BE. The extent of metaplastic change should be reported using the Prague C&M (circumferential and maximal length) Criteria. Endoscopic landmarks should be reported, and final pathology should be reviewed by a GI expert pathologist. The number of biopsies taken is dependent upon the burden of metaplastic change. Methods: This study looked at the adherence to quality indicators for cases of BE. We performed a retrospective chart review of adult patients referred to a provincial esophageal endoscopic ablation program. We collected demographics, and the presence of BE risk factors. Endoscopic and pathologic reports were reviewed to assess for markers of quality endoscopy. The reporting of endoscopic landmarks, Prague C&M criteria, number and location of biopsies taken, and whether biopsies were reviewed by a GI expert pathologist, were also recorded. The number of biopsies taken was compared to the number expected to be taken given the extent of metaplastic change. Results: 59 patients met criteria for inclusion in the study. Of these, over 80% had reflux symptoms. Over 50% of endoscopy reports did not provide a description of mucosal appearance, nor BE length. Endoscopic landmarks were not reported in nearly 56% of cases. Over 60% of cases did not have C&M criteria reported. In nearly one quarter of cases, too few biopsies were taken. Even more concerning was the upgraded diagnosis of almost 25% of patients. Two of these cases were upgraded to adenocarcinoma. Conclusion: In our study, endoscopic quality indicators in BE were not met in patients refered to an endoscopic ablation program. There was significant inter-operator variability. In the era of endoscopic ablation, proper measurement and endoscopic description are required metrics. As well, proper pathological review is essential in the management of patients with BE. This study highlights that further education is required for endoscopists in describing BE.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.997
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.360
Teacher spread0.340 · 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.

Study designObservational
DomainReporting
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

Citations0
Published2016
Admission routes1
Has abstractyes

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