Systematic review and network meta-analysis of the risk of Herpes zoster with biological therapies and selective Janus kinase-1 inhibitors in atopic dermatitis
Bibliographic record
Abstract
Introduction: Atopic dermatitis (AD) patients have an increased risk of herpes zoster (HZ). The relationship of dupilumab, tralokinumab, upadacitinib, and abrocitinib to HZ incidence in AD patients remains unclear. Aim: To evaluate and compare the incidence and risk of HZ among patients with moderate to severe atopic dermatitis treated with advanced systemic therapies. Material and methods: Systematic searches were conducted in Ovid Medline and Embase. The primary outcome was incidence of HZ in patients with moderate to severe AD receiving placebo or the aforementioned treatments. A frequentist random-effects NMA was conducted with odds ratio. Results: Our search identified 16 trials comprising 10,689 patients. Upadacitinib was associated with a dose-dependent increase in the incidence of HZ compared to placebo (OR = 2.55 [1.09, 5.95] and (OR = 4.29 [1.89, 9.74], respectively) and compared to various dupilumab doses (OR = 4.48 [1.29, 15.57], 3.61 [1.28, 10.18] and 7.54 [2.21, 25.68], 6.09 [2.24, 16.52], respectively). Upadacitinib 30 mg was associated with a higher incidence of HZ when compared to upadacitinib 15 mg (OR = 1.68 [1.19, 2.38]). Abrocitinib 200 mg was associated with a higher increase in HZ compared to placebo (OR = 3.34 [1.34, 8.31]). According to SUCRA ranks, both JAK-1 inhibitors had a higher cumulative incidence of HZ compared to dupilumab. Conclusions: JAK-1 inhibitors are associated with a significantly higher incidence of HZ compared to dupilumab and placebo. Our results suggest that recombinant HZ vaccination should be highly considered for all adult patients prior to starting oral JAK-1 inhibitors.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".