Comparative effectiveness of biologic agents for the treatment of psoriasis in a real-world setting: Results from a large, prospective, observational study (Psoriasis Longitudinal Assessment and Registry [PSOLAR])
Bibliographic record
Abstract
BackgroundComparing effectiveness of biologics in real-world settings will help inform treatment decisions.ObjectivesWe sought to compare therapeutic responses among patients initiating infliximab, adalimumab, or etanercept versus ustekinumab during the Psoriasis Longitudinal Assessment and Registry (PSOLAR).MethodsProportions of patients achieving a Physician Global Assessment score of clear (0)/minimal (1) and mean decrease in percentage of body surface area with psoriasis were evaluated at 6 and 12 months. Adjusted logistic regression (Physician Global Assessment score 0/1) and analysis of covariance (percentage of body surface area with psoriasis) were performed to determine treatment factors associated with effectiveness.ResultsOf 2541 new users on registry, 2076 had efficacy data: ustekinumab (n = 1041), infliximab (n = 116), adalimumab (n = 662), and etanercept (n = 257). Patients receiving tumor necrosis factor-alpha(-α) inhibitors were significantly less likely to achieve Physician Global Assessment score 0/1 versus ustekinumab (infliximab [odds ratio {OR} 0.396, P < .0001], adalimumab [OR 0.686, P = .0012], etanercept [OR 0.554, P = .0003] at 6 months and infliximab [OR 0.449, P = .0040] at 12 months). Mean decrease in percentage of body surface area with psoriasis was significantly greater for ustekinumab versus adalimumab (point estimate 1.833, P = .0020) and etanercept (point estimate 3.419, P < .0001) at 6 months and versus infliximab (point estimate 3.945, P = .0005) and etanercept (point estimate 2.778, P = .0007) at 12 months.LimitationsTreatment selection bias and limited data for doing adjustments are limitations.ConclusionsIn PSOLAR, effectiveness of ustekinumab was significantly better versus all 3 tumor necrosis factor-α inhibitors studied for the majority of comparisons at 6 and 12 months. Comparing effectiveness of biologics in real-world settings will help inform treatment decisions. We sought to compare therapeutic responses among patients initiating infliximab, adalimumab, or etanercept versus ustekinumab during the Psoriasis Longitudinal Assessment and Registry (PSOLAR). Proportions of patients achieving a Physician Global Assessment score of clear (0)/minimal (1) and mean decrease in percentage of body surface area with psoriasis were evaluated at 6 and 12 months. Adjusted logistic regression (Physician Global Assessment score 0/1) and analysis of covariance (percentage of body surface area with psoriasis) were performed to determine treatment factors associated with effectiveness. Of 2541 new users on registry, 2076 had efficacy data: ustekinumab (n = 1041), infliximab (n = 116), adalimumab (n = 662), and etanercept (n = 257). Patients receiving tumor necrosis factor-alpha(-α) inhibitors were significantly less likely to achieve Physician Global Assessment score 0/1 versus ustekinumab (infliximab [odds ratio {OR} 0.396, P < .0001], adalimumab [OR 0.686, P = .0012], etanercept [OR 0.554, P = .0003] at 6 months and infliximab [OR 0.449, P = .0040] at 12 months). Mean decrease in percentage of body surface area with psoriasis was significantly greater for ustekinumab versus adalimumab (point estimate 1.833, P = .0020) and etanercept (point estimate 3.419, P < .0001) at 6 months and versus infliximab (point estimate 3.945, P = .0005) and etanercept (point estimate 2.778, P = .0007) at 12 months. Treatment selection bias and limited data for doing adjustments are limitations. In PSOLAR, effectiveness of ustekinumab was significantly better versus all 3 tumor necrosis factor-α inhibitors studied for the majority of comparisons at 6 and 12 months.
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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 | 0.001 | 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 | 0.000 | 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".