Psoriasis Patients Treated With Biologics and Methotrexate Have a Reduced Rate of Myocardial Infarction
Bibliographic record
Abstract
Psoriasis is a chronic inflammatory skin condition characterised by the formation of red scaly plaques on the skin. It is an autoimmune disease cause by the dysregulation of cytokines controlling the inflammatory pathways, a mechanism likely contributing to various comorbidities observed in patients with psoriasis. Cardiovascular disease is one comorbidity observed more frequently in the psoriasis patient population. Biologic treatments specifically target the dysregulation of cytokines in the inflammation pathway and have shown to be an effective treatment for moderate to severe psoriasis where other systemic treatments have failed. More recently, biologics have been shown to reduce the incidence of myocardial infarction in patients with psoriasis compared to patients treated with topical agents. In the present study, 4 international psoriasis patient cohorts are combined and analyzed to examine the effect that biologic or methotrexate treatment has on reducing the incidence of myocardial infarction. Both methotrexate and biologic treatments were found to lower the incidence of myocardial infarction in moderate to severe psoriasis patient populations.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".