Management of Plaque Psoriasis With Biologic Therapies in Women of Child-Bearing Potential Consensus Paper
Bibliographic record
Abstract
BackgroundPlaque psoriasis (PsO) is a chronic inflammatory disease that often presents at peak reproductive age in women of child-bearing potential (WOCBP). With the emergence of biologic therapies to treat PsO, guidance on disease management in WOCBP is needed to inform treatment decisions before, during, and after pregnancy.ObjectivesTo develop a practical, up-to-date consensus document, based on available evidence and expert opinion where evidence was lacking, in order to guide both Canadian and international clinicians treating PsO in WOCBP.MethodsA panel of 9 Canadian dermatologists with extensive clinical experience managing PsO reviewed the relevant literature from the past 25 years in 3 key domains: overview of PsO in WOCBP and clinical considerations, treatment considerations, and postpartum considerations. The structured literature search focused on WOCBP treated with TNF-alpha inhibitors (adalimumab, certolizumab, etanercept, golimumab, infliximab), IL-23 inhibitors (guselkumab, risankizumab, tildrakizumab), IL-12/23 inhibitors (ustekinumab), and IL-17 inhibitors (brodalumab, ixekizumab, secukinumab). This literature review, along with clinical expertise and opinion, was used to develop concise and clinically relevant consensus statements to guide practical management of PsO in WOCBP. Experts voted on the statements using a modified Delphi process and prespecified agreement cut-off of 75%.Results and implicationsAfter review, discussion, and voting on 19 draft consensus statements at an in-person meeting and remotely, 12 consensus statements were approved by the expert panel. The statements presented here will guide healthcare providers in practical disease management using biologic therapies for the treatment of PsO in WOCBP.
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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 | 0.043 | 0.073 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".