Bibliographic record
Abstract
PURPOSE OF REVIEW: Dyspepsia affects up to 40% of the general population and significantly reduces quality of life. A small proportion of patients have peptic ulcer disease as cause and this can be treated empirically with Helicobacter pylori eradication therapy in those that are infected. Approximately 20% have gastro-oesophageal reflux disease and this can be effectively treated with proton pump inhibitor therapy. Patients who remain symptomatic may warrant an endoscopy, but most will have functional dyspepsia. Treatment of functional dyspepsia remains a challenge. RECENT FINDINGS: Recent large randomized trials suggest tricyclic antidepressant therapy may be effective in functional dyspepsia. A phase III randomized controlled trial reports that a new prokinetic, acotiamide, reduces dyspepsia symptoms in functional dyspepsia patients. There are also preliminary data that suggest buspirone, a drug that promotes gastric accommodation, is also effective in functional dyspepsia. There are also data to suggest that functional dyspepsia is caused by subtle manifestations of inflammation in the upper gastrointestinal tract, possibly caused by food sensitivity or a change in gut flora. SUMMARY: The initial management of dyspepsia is well established, but managing those with continued symptoms is a challenge. Antidepressants and newer gastric motility agents show promise. Targeting the diet and gut microbiome is another area for future research in functional dyspepsia.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.010 |
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".