Trends in development of gi-safe anti-inflammatory drugs
Bibliographic record
Abstract
Despite the introduction of anti-inflammatory drugs that selectively inhibit cyclo-oxygenase-2 (COX-2), and potent inhibitors of gastric acid secretion, the gastrointestinal adverse effects of non-steroidal anti-inflammatory drugs (NSAIDs) remain a significant clinical problem. Combined use of antisecretory drugs and COX-2 inhibitors is helpful to limit the damage in the proximal gastrointestinal tract (stomach and duodenum), but it increases the risk of injury of small intestine and colon. It was proven that proton pump inhibitors and H2 receptor antagonists significantly worsen NSAID-induced small intestinal damage and microbiota balance. Nowadays, there is no proven effective preventative or curative treatment for NSAID-induced enteropathy. The new strategy of gastrointestinal protection is based on the discovery of endogenous cytoprotective molecules such as hydrogen sulfide (H₂S). H2S is a gaseous mediator that produces strong cytoprotective and antioxidant effect on the gastrointestinal tract. The role of H₂S in promoting mucosal integrity, healing of tissue injury and resolution of inflammation has been well documented. In addition, H₂S stimulates productions of other cytoprotective molecules including prostaglandins, carbon monoxide and nitric oxide. Nowadays, the new generation of H₂S-releasing non-steroidal anti-inflammatory drugs is developed and tested in clinical trials. H₂S-NSAIDs possess enhanced anti-inflammatory activity and high gastrointestinal safety.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".