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Association of Risk of Incident Venous Thromboembolism With Atopic Dermatitis and Treatment With Janus Kinase Inhibitors

2022· review· en· W4292940403 on OpenAlexaboutno aff
Tai‐Li Chen, Ling-Ling Lee, Huei‐Kai Huang, Li-Yu Chen, Ching‐Hui Loh, Ching‐Chi Chi

Bibliographic record

VenueJAMA Dermatology · 2022
Typereview
Languageen
FieldMedicine
TopicDermatology and Skin Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHazard ratioAtopic dermatitisInternal medicineCochrane LibraryCohort studyPlaceboIncidence (geometry)CohortRandomized controlled trialMeta-analysisMEDLINEGuidelineConfidence intervalDermatologyAlternative medicinePathology

Abstract

fetched live from OpenAlex

Importance: The risk of venous thromboembolism (VTE) among patients with atopic dermatitis (AD), especially when receiving treatment with Janus kinase (JAK) inhibitors, is unclear. Objective: To determine the association of AD with incident VTE and evaluate the risk of incident VTE among patients with AD who were receiving treatment with JAK inhibitors. Data Sources: The MEDLINE, Embase, Cochrane Library, and Web of Science databases were searched with no restrictions on language nor geographic locations from their respective inception to February 5, 2022. Study Selection: Cohort studies examining the association of AD with incident VTE and randomized clinical trials (RCTs) reporting VTE events in participants with AD receiving JAK inhibitors were included. Around 0.7% of initially identified articles met the selection criteria. Data Extraction and Synthesis: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was followed. The risk of bias of included cohort studies and RCTs was assessed by the Newcastle-Ottawa Scale and the Cochrane Risk of Bias Tool 2, respectively. A random-effects model meta-analysis was conducted to calculate the pooled hazard ratio (HR) and risk difference for incident VTE. Main Outcomes and Measures: The HRs for incident VTE associated with AD and risk difference for incident VTE between participants with AD who were receiving treatment with JAK inhibitors and controls receiving placebo or dupilumab. Results: Two cohort studies and 15 RCTs with a total of 466 993 participants were included. The meta-analysis found no significant association of AD with incident VTE (HR, 0.95; 95% CI 0.62-1.45; incidence rate of VTE, 0.23 events/100 patient-years). Overall, 3 of 5722 patients with AD (0.05%) who were receiving treatment with JAK inhibitors experienced VTE compared with 1 of 3065 patients with AD (0.03%) receiving placebo or dupilumab (Mantel-Haenszel risk difference, 0; 95% CI, 0-0). The incidence rate of VTE was 0.15 and 0.12 events per 100 patient-years in participants with AD receiving JAK inhibitors and placebo, respectively. The findings were similar in 4 unique JAK inhibitors (abrocitinib, baricitinib, upadacitinib, and SHR0302). Conclusions and Relevance: The results of this systematic review and meta-analysis suggest that the currently available evidence does not detect an increased risk of VTE associated with AD or treatment with JAK inhibitors. These findings may provide a reference for clinicians in prescribing JAK inhibitors for patients with AD.

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)0.015
metaresearch head score (Gemma)0.060
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.014
Bibliometrics0.0040.005
Science and technology studies0.0000.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.014
GPT teacher head0.269
Teacher spread0.255 · 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 designNot applicable
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

Citations56
Published2022
Admission routes1
Has abstractyes

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