Bibliographic record
Abstract
PURPOSE OF REVIEW: This review reports and attempts to place in some context current key observations in the literature, as they relate to peptic ulcer disease. RECENT FINDINGS: Focus areas in this review are general, the usefulness of symptom-based triage in management decision making and critical review of current practice as it relates to foregut malignancy; Helicobacter pylori, important observations regarding gastric cancer prevention are presented, the role of the organism in "acid rebound" is discussed, and further evidence to support the role of H. pylori eradication in peptic ulcer disease is provided; medication, a number of studies comparing steady state and onset of action efficacy of current proton pump inhibitors at a gastric pH level are reviewed and a new agent is introduced. Problems with and strategies for the safe use of antithrombotic agents are reviewed, and exciting data with regard to a new class of nonsteroidal antiinflammatory drug are provided, now at the "proof of concept" stage. SUMMARY: The review period's main "new" information relates to the nonsteroidal antiinflammatory drugs in which a number of exciting agents are being developed. Although inconclusive, the observations with regard to the effect of H. pylori eradication on gastric carcinogenesis is likely to lead to more work in this field.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.019 | 0.007 |
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".