Evidence map›Paper›PMID 42335146›Full record

ArticlePloS one2026

Reliability and construct validity of the Hungarian version of Skindex-Mini.

Borbála Német, Balázs András Varga, Norbert Kiss, Uğur Çakır, Miklós Sárdy, Adrien Rigó

Abstract readValidation Study
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Borbála NémetDoctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID https://orcid.org/0009-0005-0808-2877
Balázs András VargaDoctoral School of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.
Norbert KissDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Uğur ÇakırDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Miklós SárdyDepartment of Dermatology, Venereology and Dermatooncology, Semmelweis University, Budapest, Hungary.
Adrien RigóInstitute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Skindex-Mini is a brief 3-item dermatology-specific quality-of-life tool, that has been previously validated in English and Spanish. This study evaluated the reliability and construct validity of the Hungarian version in patients with skin diseases. In a cross-sectional study, 578 patients with inflammatory or noninflammatory conditions completed the Hungarian Skindex-Mini alongside established measures including the Dermatology Life Quality Index-Revised, Difficulties in Emotion Regulation Scale-16, and Stigmatization Scale for Chronic Illnesses-8 Questionnaire. Validity was assessed using and Spearman correlations. Confirmatory factor analysis supported a unidimensional structure, while Item Response Theory analyses indicated strong item discriminatory power and measurement invariance across groups. The tool demonstrated moderate convergent validity with stigma and distress, and acceptable discriminant validity with well-being. The Hungarian Skindex-Mini exhibits robust psychometric properties, supporting its use for rapid screening of dermatology-related quality-of-life burden. Its brevity makes it suitable for diverse clinical and research applications.

Indexed as

Quality of LifeSkin DiseasesAdultAgedCross-Sectional StudiesFemaleHumansHungaryMaleMiddle AgedPsychometricsReproducibility of ResultsSurveys and Questionnaires

Identifiers

PMID42335146
PMCPMC13289942

What OpenQuestion holds

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Registered trials

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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.