Evidence map›Paper›PMID 34642768›Full record

ArticleActa dermato-venereologica2021

Predictors of Response to Biologics in Patients with Moderate-to-severe Psoriasis: A Danish Nationwide Cohort Study.

Christopher Willy Schwarz, Nikolai Loft, Mads Kirchheiner Rasmussen, Christoffer V Nissen, Tomas Norman Dam, Kawa Khaled Ajgeiy, Alexander Egeberg, Lone Skov

Abstract read
In one paragraph

Article in Acta dermato-venereologica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Predictors of clinical response to biologics in psoriasis: A systematic review and meta-analysis.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
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  16. Guselkumab - In Psoriasis and Beyond.Dermatology practical & conceptual · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Christopher Willy SchwarzDepartment of Dermatology and Allergy, Gentofte Hospitalsvej 15, 1. floor, DK-2900 Hellerup, Denmark. christopher.willy.schwarz.01@regionh.dk.
Nikolai Loft
Mads Kirchheiner Rasmussen
Christoffer V Nissen
Tomas Norman Dam
Kawa Khaled Ajgeiy
Alexander Egeberg
Lone Skov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identifying patient characteristics associated with achieving treatment response to biologics in patients with psoriasis could prevent expensive switching between biologics. The aim of this study was to identify patient characteristics that predict the efficacy of treatment for biologics that inhibit tumour necrosis factor-α, interleukin-12/-23, and -17A. The study investigated biologic-naïve patients from the DERMBIO registry treated with adalimumab, etanercept, infliximab, secukinumab, or ustekinumab. Multivariable logistic models were conducted to assess associations between patient characteristics and treatment response. A total of 2,384 patients were included (adalimumab n = 911; etanercept n = 327; infliximab n = 152; secukinumab n = 323; ustekinumab n = 671). Smoking (odds ratio 0.74; 95% confidence interval (CI) 0.56-0.97; p = 0.03) and higher bodyweight (odds ratio 0.989; 95% CI 0.984-0.994; p < 0.001) reduced the odds of achieving response defined as Psoriasis Area and Severity Index ≤2.0 after 6 months of treatment. In conclusion, higher bodyweight and smoking were associated with a reduced probability of treatment response for tumour necrosis factor-α inhibitors, ustekinumab, and secukinumab.

Indexed as

Biological ProductsPsoriasisAdalimumabCohort StudiesDenmarkEtanerceptHumansTreatment OutcomeUstekinumabAdalimumabBiological ProductsEtanerceptUstekinumab

Identifiers

PMID34642768
PMCPMC9425566

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.