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Safety of Systemic Agents for the Treatment of Pediatric Psoriasis

2017· article· en· W2756003268 on OpenAlexaff
Inge M. G. J. Bronckers, Marieke M.B. Seyger, Dennis P. West, Irene Lara‐Corrales, Megha M. Tollefson, Wynnis L. Tom, Marcia Hogeling, Leah Belazarian, Claus Zachariae, E. Mahé, Elaine C. Siegfried, Sandra Philipp, Zsuzsanna Szalai, Ruth Ann Vleugels, Kristen E. Holland, Ruth Murphy, Eulàlia Baselga, Kelly M. Cordoro, Jo Lambert, Alex Alexopoulos, Ulrich Mrowietz, Wietske Kievit, Amy S. Paller

Bibliographic record

VenueJAMA Dermatology · 2017
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsUniversity of TorontoHospital for Sick ChildrenSickKids Foundation
FundersNational Institute of Arthritis and Musculoskeletal and Skin DiseasesPediatric Dermatology Research Alliance
KeywordsMedicinePsoriasisDermatologySystemic therapyMEDLINEIntensive care medicineInternal medicine

Abstract

fetched live from OpenAlex

Importance: Use of systemic therapies for moderate to severe psoriasis in children is increasing, but comparative data on their use and toxicities are limited. Objective: To assess patterns of use and relative risks of systemic agents for moderate to severe psoriasis in children. Design, Setting, and Participants: A retrospective review was conducted at 20 centers in North America and Europe, and included all consecutive children with moderate to severe psoriasis who used systemic medications or phototherapy for at least 3 months from December 1, 1990, to September 16, 2014. Main Outcomes and Measures: The minimal core data set included age, sex, severity of psoriasis, systemic interventions, monitoring, adverse events (AEs), and reason for discontinuation. Results: For 390 children (203 girls and 187 boys; mean [SD] age at diagnosis, 8.4 [3.7] years) with psoriasis who used 1 or more systemic medications, the mean interval between diagnosis and starting systemic therapy was 3.0 years. Methotrexate was used by 270 patients (69.2%), biologic agents (primarily etanercept) by 106 (27.2%), acitretin by 57 (14.6%), cyclosporine by 30 (7.7%), fumaric acid esters by 19 (4.9%), and more than 1 medication was used by 73 (18.7%). Of 270 children taking methotrexate, 130 (48.1%) reported 1 or more AEs associated with methotrexate, primarily gastrointestinal (67 [24.8%]). Folic acid 6 days per week (odds ratio, 0.16; 95% CI, 0.06-0.41; P < .001) or 7 days per week (OR, 0.21; 95% CI, 0.08-0.58; P = .003) protected against gastrointestinal AEs more than once-weekly folic acid, regardless of the total weekly dosage. Methotrexate-associated hepatic transaminase elevations were associated with obesity (35 of 270 patients [13.0%]), but a folic acid regimen was not. Injection site reactions occurred in 20 of 106 patients (18.9%) treated with tumor necrosis factor inhibitors, but did not lead to discontinuation of treatment. Having 1 or more AEs related to medication, gastrointestinal AE, laboratory abnormality, or AE leading to discontinuation of the drug was more likely with methotrexate than tumor necrosis factor inhibitors, but having 1 or more infections related to medication (predominantly upper airway) was less likely. Six patients developed a serious treatment-related AE (methotrexate, 3; fumaric acid esters, 2; and adalimumab, 1), but methotrexate and biologic agents were taken for a mean duration that was 2-fold greater than the mean duration for cyclosporine or fumaric acid esters. No patient developed tuberculosis or a malignant neoplasm. Conclusions and Relevance: Medication-related AEs occur less often with tumor necrosis factor inhibitors than with methotrexate. Folic acid administration 6 or 7 times per week protected more against methotrexate-induced gastrointestinal AEs than did weekly administration. A prospective registry is needed to track the long-term risks of systemic agents for pediatric psoriasis.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.029
GPT teacher head0.274
Teacher spread0.244 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations97
Published2017
Admission routes1
Has abstractyes

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