Risk of malignancy with systemic psoriasis treatment in the Psoriasis Longitudinal Assessment Registry
Bibliographic record
Abstract
BackgroundThe effect of systemic therapy on malignancy risk among patients with psoriasis is not fully understood.ObjectiveEvaluate the impact of systemic treatment on malignancy risk among patients with psoriasis in the Psoriasis Longitudinal Assessment and Registry (PSOLAR).MethodsNested case-control analyses were performed among patients with no history of malignancy. Cases were defined as first malignancy (other than nonmelanoma skin cancer) in the Psoriasis Longitudinal Assessment and Registry, and controls were matched by age, sex, geographic region, and time on registry. Study therapies included methotrexate, ustekinumab, and tumor necrosis factor-α (TNF-α) inhibitors. Exposure was defined as 1 or more doses of study therapy within 12 months of malignancy onset and further stratified by duration of therapy. Multivariate conditional logistic regression, adjusted for potential confounders, was used to estimate odds ratios of malignancies associated with therapy.ResultsAmong 12,090 patients, 252 malignancy cases were identified and 1008 controls were matched. Treatment with methotrexate or ustekinumab for more than 0 months to less than 3 months, 3 months to less than 12 months, or 12 months or longer was not associated with increased malignancy risk versus no exposure. Longer-term (≥12 months) (odds ratio, 1.54; 95% confidence interval, 1.10-2.15; P = .01), but not shorter-term treatment, with a TNF-α inhibitor was associated with increased malignancy risk.LimitationsCases and controls could belong to 1 or more therapy categories.ConclusionsLong-term (≥12 months) treatment with a TNF-α inhibitor, but not methotrexate and ustekinumab, may increase risk for malignancy in patients with psoriasis. The effect of systemic therapy on malignancy risk among patients with psoriasis is not fully understood. Evaluate the impact of systemic treatment on malignancy risk among patients with psoriasis in the Psoriasis Longitudinal Assessment and Registry (PSOLAR). Nested case-control analyses were performed among patients with no history of malignancy. Cases were defined as first malignancy (other than nonmelanoma skin cancer) in the Psoriasis Longitudinal Assessment and Registry, and controls were matched by age, sex, geographic region, and time on registry. Study therapies included methotrexate, ustekinumab, and tumor necrosis factor-α (TNF-α) inhibitors. Exposure was defined as 1 or more doses of study therapy within 12 months of malignancy onset and further stratified by duration of therapy. Multivariate conditional logistic regression, adjusted for potential confounders, was used to estimate odds ratios of malignancies associated with therapy. Among 12,090 patients, 252 malignancy cases were identified and 1008 controls were matched. Treatment with methotrexate or ustekinumab for more than 0 months to less than 3 months, 3 months to less than 12 months, or 12 months or longer was not associated with increased malignancy risk versus no exposure. Longer-term (≥12 months) (odds ratio, 1.54; 95% confidence interval, 1.10-2.15; P = .01), but not shorter-term treatment, with a TNF-α inhibitor was associated with increased malignancy risk. Cases and controls could belong to 1 or more therapy categories. Long-term (≥12 months) treatment with a TNF-α inhibitor, but not methotrexate and ustekinumab, may increase risk for malignancy in patients with psoriasis.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".