Endoscopy of the esophagus in gastroesophageal reflux disease: are we losing sight of symptoms? Another perspective
Bibliographic record
Abstract
Gastroesophageal reflux disease (GERD) is an extremely common chronic disorder associated with impaired quality of life and huge economic burden. Recently, an International Consensus Group developed a global definition of GERD (The Montreal Definition): a condition that develops when the reflux of stomach contents causes troublesome symptoms and/or complications. The traditional endoscopy-based classification of GERD patients into one of three groups - non-erosive reflux disease, erosive esophagitis, and Barrett's esophagus - is fraught with several limitations. Due to the lack of a gold standard, GERD is a symptom-based diagnosis, and hence symptom evaluation will remain the primary means by which treatment decisions are made for patients with suspected GERD. We propose that patients reporting the predominant GERD-like symptoms (GERS) in the primary care setting be classified based upon their response to an empiric trial of acid suppressive therapy: complete response to acid suppressive therapy, partial response to acid suppressive therapy, and no response to acid suppressive therapy. Given the limitations of objective medical testing, implementation of our proposed new symptom-based classification of patients with GERS would guide primary care physicians on when to refer patients to a gastroenterologist, which in turn could help in better resource utilization. Validation of this proposed classification by well-designed prospective multicenter studies is awaited.
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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 | 0.010 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.009 |
| Scholarly communication | 0.005 | 0.018 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.012 | 0.017 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".