GERD Evaluation
Bibliographic record
Abstract
In the past there has been reliance on heartburn and acid regurgitation as the cardinal symptoms of gastro-esophageal reflux. Now it is recognized that diverse additional symptoms including extraesophageal manifestations are essential components of gastroesophageal reflux disease (GERD). Furthermore, previous reliance in mucosal damage at endoscopy as evidence of therapeutic success in the management of GERD has proven of only limited value in the diverse world of GERD symptoms. Indeed is now apparent that the relationship between symptoms and lesions is modest at best. Most patients with GERD have no overt erosions or ulceration at endoscopy and they frequently suffer from a wide array of complaints other than heartburn that contribute to their diminished perception of life's quality. To address these problems, multidimensional questionnaires designed to encompass the diverse symptomatology of GERD have been investigated, principally, to provide a reproducible metric of change in the subjective response to pharmacologic therapy during trials for patients with nonerosive reflux disease. The most promising of these instruments is The ReQuest questionnaire, because it has been extensively validated in multiple patient groups and cultures, appears highly promising in this regard and for erosive disease too and may ultimately prove to be of value for the initial evaluation of patients with GERD. We propose that accurate symptom delineation complemented with endoscopy performed in selected groups of patients will become the mainstay in diagnosis of GERD and the assessment of therapy efficacy.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".