Bibliographic record
Abstract
Psoriasis is a common chronic inflammatory skin disease that manifests as scaly erythematous plaques as a consequence of keratinocyte hyperproliferation and inflammation. It is commonly associated with diabetes, obesity, and the metabolic syndrome. While there are numerous approved treatment options available, they have limitations including availability, toxicities such as immunosuppression, and high cost. There is increasing evidence to suggest that several hypoglycemic agents used in the treatment of type 2 diabetes, including glucagon-like peptide-1 receptor agonists, dipeptidyl peptidase-4 inhibitors, thiazolidinediones and biguanides, exert beneficial effects in psoriasis. In this review, we summarize the growing evidence supporting the therapeutic role of hypoglycemic agents in psoriasis and discuss the potential underlying mechanisms. We suggest that dermatologists consider the use of hypoglycemic agents in psoriasis especially in cases with coexisting diabetes and in cases in which immunosuppression is contraindicated. Earlier referral to endocrinology in patients with concomitant diabetes may be appropriate.
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 | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".