UNEXPECTED ADVERSE REACTIONS OF THE DRUGS OF THE GROUP OF INHIBITORS OF DIPEPTIDYL PEPTIDASE-4
Bibliographic record
Abstract
Diabetes mellitus is the most acute medical and social problem related to the priorities of national health systems. The dramatic and urgent problems of diabetes mellitus are determined by the high prevalence of diabetes, high mortality and early disability of patients. The prevalence of diabetes mellitus in Western countries is 2–5 % of the population, and in developing countries reaches 10–15 %. Inhibitors of dipeptidylpeptidase-4 are one of the classes of drugs for the treatment of patients with diabetes mellitus type II. Now days the analysis of regulatory reports from developed countries show that the number of reports FDA, Health Canada on the risk of serious adverse reactions has increased. Not all detected adverse reactions are listed in the instructions for use among the possible side effects of the group of inhibitors of DPP-4. The article deals with reports of adverse reactions detected during the monitoring of databases of the Russian Federation and regulatory authorities of foreign countries. The safety research of the use of DPP-4 inhibitors is ongoing.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".