Systemic Immunomodulatory Treatments for Atopic Dermatitis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Importance: Systemic treatments for atopic dermatitis are being evaluated primarily in placebo-controlled trials; network meta-analysis can provide relative efficacy and safety estimates for treatments that have not been compared head to head. Objective: To compare reported measures of efficacy and assessments of safety in clinical trials of systemic treatments for atopic dermatitis in a living systematic review and network meta-analysis. Data Sources: The Cochrane Central Register of Controlled Trials, MEDLINE, Embase, Latin American and Caribbean Health Science Information database, Global Resource of EczemA Trials database, and trial registries were searched through June 15, 2021. Study Selection: Randomized clinical trials examining 8 or more weeks of treatment with systemic immunomodulatory medications for moderate-to-severe atopic dermatitis were included after screening titles, abstracts, and papers in duplicate. Data Extraction and Synthesis: Data were abstracted in duplicate. Bayesian network meta-analyses and assessed Grading of Recommendations Assessment, Development and Evaluation certainty of evidence were performed. The updated analysis was completed from June to December 2021. Main Outcomes and Measures: Outcomes include change in Eczema Area and Severity Index (EASI), Patient Oriented Eczema Measure (POEM), Dermatology Life Quality Index (DLQI), and Peak Pruritus Numeric Rating Scales (PP-NRS). Results: Since October 2019, 21 new studies were added, for a total of 60 trials with 16 579 patients. Up to 16 weeks of treatment in adults, abrocitinib, 200 mg daily (mean difference [MD], 2.2; 95% credible interval [CrI], 0.2-4.0; high certainty) and upadacitinib, 30 mg daily (MD, 2.7; 95% CrI, 0.6-4.7; high certainty) were associated with reduced EASI slightly more than dupilumab, 600 mg then 300 mg every 2 weeks. Abrocitinib, 100 mg daily (MD, -2.1; 95% CrI, -4.1 to -0.3; high certainty), baricitinib, 4 mg daily (MD, -3.2; 95% CrI, -5.7 to -0.8; high certainty), baricitinib, 2 mg daily (MD, -5.2; 95% CrI, -7.5 to -2.9; high certainty) and tralokinumab, 600 mg then 300 mg every 2 weeks (MD, -3.5; 95% CrI, -5.8 to -1.3; high certainty) were associated with reduced EASI slightly less than dupilumab. There was little or no difference between upadacitinib, 15 mg daily, and dupilumab (MD, 0.2; 95% CrI, -1.9 to 2.2; high certainty). The pattern of results was similar for POEM, DLQI, and PP-NRS. Conclusions and Relevance: In this systematic review and meta-analysis, abrocitinib, 200 mg; and upadacitinib, 30 mg daily, were associated with slightly better scores than dupilumab, and upadacitinib, 15 mg daily, was associated with similar scores to dupilumab. Abrocitinib, 100 mg daily, baricitinib, 4 mg and 2 mg daily, and tralokinumab, 300 mg, every 2 weeks were associated with slightly worse scores.
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it