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Record W3119665681 · doi:10.1097/md.0000000000027368

Risk of herpes zoster associated with biological therapies for psoriasis and psoriatic arthritis

2021· review· en· W3119665681 on OpenAlexaboutno aff
Ailing Zou, Yongjun Chen, Nian Shi, Yu Ye

Bibliographic record

VenueMedicine · 2021
Typereview
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePsoriatic arthritisPsoriasisInfliximabInternal medicineObservational studyEtanerceptOdds ratioAdalimumabRandomized controlled trialAdverse effectConfidence intervalArthritisDermatologyRheumatoid arthritisTumor necrosis factor alpha

Abstract

fetched live from OpenAlex

BACKGROUND: Biological therapy is effective for the treatment of psoriasis and psoriatic arthritis; however, adverse effects related to immunosuppression, such as viral infections, have been reported. Amongst these infections, herpes zoster (HZ) is common. OBJECTIVE: To evaluate the risk of HZ in psoriasis and psoriatic arthritis patients treated with biological therapy. DATA SOURCES: A comprehensive literature search of PubMed, Embase, and Web of Science was performed using certain keywords until October 9, 2020. Nine studies were included after a detailed assessment. STUDY ELIGIBILITY CRITERIA: The eligibility criteria included randomized controlled trials (RCTs) and observational studies of patients with psoriasis or psoriatic arthritis treated with biological therapies; compared with non-biological therapies, non-biological systemic therapies, or controls; with the incidence of HZ reported in case and control groups. The Cochrane risk of bias tool and Newcastle-Ottawa scale were used to assess the quality of the RCTs and observational studies, respectively. Data were extracted from 9 eligible studies and then analyzed using Stata software (Version 12.0). RESULTS: The risk of HZ in biological therapies was higher than that in non-biological (odds ratios [OR]: 1.48; 95% confidence interval [CI]: 1.18-1.86; I2 = 0%) and non-biological systemic (OR: 1.32; 95% CI: 1.02-1.71; I2 = 0%) therapies. Furthermore, the risk of HZ associated with tumor necrosis factor-α inhibitors increased significantly (OR: 1.50; 95% CI: 1.11-2.02; I2 = 0%). Notably, infliximab (OR: 2.43; 95% CI: 1.31-4.50; I2 = 0%) and etanercept (OR: 1.65; 95% CI: 1.07-2.56; I2 = 0%) increased the risk of HZ, while adalimumab (OR: 1.21; 95% CI: 0.64-2.30; I2 = 0%), ustekinumab (OR: 2.20; 95% CI: 0.89-5.44; I2 = 0%), alefacept (OR: 1.46; 95% CI: 0.20-10.47; I2 = 0%), and efalizumab (OR: 1.58; 95% CI: 0.22-11.34; I2 = 0%) did not. LIMITATIONS: Few RCTs have reported HZ incidents; thus, our results require confirmation via large-scale RCTs. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: Biological therapies, especially tumor necrosis factor-α inhibitors, may lead to the risk of HZ in psoriasis and psoriatic arthritis patients. Amongst these agents, infliximab and etanercept have been shown to significantly increase the risk of HZ. Additionally, younger age and female sex may be risk factors. SYSTEMATIC REVIEW REGISTRATION NUMBER: INPLASY202110027.

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)0.021
metaresearch head score (Gemma)0.084
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: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.021
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.084
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.010
Bibliometrics0.0050.006
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.064
GPT teacher head0.347
Teacher spread0.284 · 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".

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Citations18
Published2021
Admission routes1
Has abstractyes

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