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Record W4387613843 · doi:10.1093/bjd/ljad393

Comparing binary efficacy outcomes for systemic immunomodulatory treatments for atopic dermatitis in a living systematic review and network meta-analysis

2023· review· en· W4387613843 on OpenAlexaff
Aaron M. Drucker, Megan Lam, Rawaan Elsawi, David Prieto‐Merino, Rayka Malek, Alexandra G. Ellis, Zenas Z N Yiu, Bram Rochwerg, Sonya Di Giorgio, B.W.M. Arents, Tim Burton, Phyllis I. Spuls, Jochen Schmitt, Carsten Flohr

Bibliographic record

VenueBritish Journal of Dermatology · 2023
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsImpactUniversity of OttawaMcMaster UniversityWomen's College HospitalUniversity of Toronto
FundersNational Institute for Health and Care Research
KeywordsAtopic dermatitisMeta-analysisMedicineDermatologyMEDLINEInternal medicineBiology

Abstract

fetched live from OpenAlex

BACKGROUND: Systemic treatments for atopic dermatitis (AD) are evaluated primarily in placebo-controlled trials with binary efficacy outcomes. In a living systematic review and network meta-analysis (NMA), we previously analysed continuous efficacy measures. OBJECTIVES: To compare binary efficacy outcomes of systemic treatments for AD. METHODS: We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, Latin American and Caribbean Health Science Information (LILACS) database, Global Resource for Eczema Trials (GREAT) database and trial registries up to 1 March 2023. We included randomized trials examining ≥ 8 weeks of treatment with systemic immunomodulatory medications for moderate-to-severe AD. We screened titles, abstracts and full texts and abstracted data independently, in duplicate. Outcomes included the proportion of patients achieving at least 50%, 75% and 90% improvements in Eczema Area and Severity Index (EASI 50, EASI 75 and EASI 90, respectively) and Investigator Global Assessment (IGA) success. We performed random-effects Bayesian NMAs to calculate odds ratios (OR) and 95% credible intervals (CrIs) between each intervention for each outcome. RESULTS: Eighty-three trials with 22 122 participants were included in the systematic review. In analyses limited to trials of 8-16 weeks' duration with predominantly adult populations, abrocitinib 200 mg daily (OR 1.5, 95% CrI 1.1-2.2) and upadacitinib 15 mg daily (OR 1.7, 95% CrI 0.9-3.3) and 30 mg daily (OR 2.5, 95% CrI 1.3-5.0) were associated with higher odds of achieving EASI 50 vs. dupilumab. Abrocitinib 100 mg daily (OR 0.7, 95% CrI 0.5-1.0), baricitinib 2 mg daily (OR 0.4, 95% CrI 0.3-0.5) and 4 mg daily (OR 0.5, 95% CrI 0.3-0.7), and tralokinumab (OR 0.4, 95% CrI 0.3-0.6) were associated with lower odds of achieving EASI 50 vs. dupilumab. Results were similar for EASI 75, EASI 90 and IGA success. CONCLUSIONS: Supporting results for continuous outcome measures, upadacitinib 30 mg daily and abrocitinib 200 mg daily are the most efficacious with regard to binary efficacy endpoints up to 16 weeks in adults with moderate-to-severe AD, followed by upadacitinib 15 mg daily, dupilumab and abrocitinib 100 mg daily. Dupilumab and both doses of upadacitinib and abrocitinib are more efficacious than baricitinib 4 and 2 mg daily and tralokinumab.

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)0.045
metaresearch head score (Gemma)0.111
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.045
Threshold uncertainty score0.237

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.111
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0230.045
Bibliometrics0.0130.010
Science and technology studies0.0010.001
Scholarly communication0.0050.003
Open science0.0030.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.107
GPT teacher head0.371
Teacher spread0.264 · 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 designMeta-analysis
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

Citations29
Published2023
Admission routes1
Has abstractyes

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