Diagnosis and Management of Barrett’s Esophagus: A Retrospective Study Comparing the Endoscopic Assessment of Early Esophageal Lesions in the Community versus a Specialized Center
Bibliographic record
Abstract
Specialized endoscopic evaluation for patients with Barrett's esophagus (BE) is well supported; however, no studies have shown that centers with expertise provide better quality care for BE with high-grade dysplasia or early adenocarcinoma. In this study, the investigators aimed to evaluate the management and clinical course for patients treated in a community practice versus a specialized BE center. Methods. A retrospective analysis of referrals from the community to our specialized center for evaluation of BE at St Paul's Hospital Division of Gastroenterology between January 2007 and February 2014 was performed. Subjects were patients who were referred for BE and dysplasia and subsequently reevaluated by endoscopy. The pathology and endoscopy reports from the community and our center were reviewed. Inclusion criteria were as follows: being ≥ 19 years old and pathologic diagnosis of BE or dysplasia in the community. Exclusion criteria were as follows: incomplete pathology data or incomplete endoscopy reports from the community physicians. Results. A total of 77 patients were reviewed. The staging of 28.9% of patients referred from the community was changed from the initial pathological diagnosis. 18.4% of these patients were upstaged. Using Fischer's exact test, we showed that, in our specialized center, endoscopic impressions correlated significantly with pathology results (p < 0.0001).
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".