Psoriasis and Multiple Sclerosis: Is There a Link?
Bibliographic record
Abstract
BACKGROUND: psoriasis and multiple sclerosis (MS) are both autoimmune T cell-mediated diseases. Some case series have suggested an association. OBJECTIVE: to investigate the potential relationship between psoriasis and MS based on a systematic review of the literature. METHODS: medline, Cochrane Library, and EMBASE searches were performed. RESULTS: T-helper 17 cells are involved in the pathogenesis of both psoriasis and MS. Both conditions have been associated with interleukin-23 receptor (IL23R) polymorphisms. Studies have reported psoriasis in 0.41 to 7.7% of individuals with MS. A higher rate of psoriasis compared to controls was noted in a few small MS cohorts, but the number of cases was too small to draw any firm conclusions. In two studies, including a large Canadian study of 5,031 patients with MS, there was no increased prevalence of psoriasis in patients over the control population. Family members of individuals with MS do not appear to be at increased risk for psoriasis in these studies. Psoriasis has developed during treatment for MS, and MS has developed during treatment for psoriasis. CONCLUSION: although there are some common genetic linkages in psoriasis and MS, psoriasis does not appear to be more common in patients with MS or their relatives.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".