Evidence map›Paper›PMID 32093459›Full record

ArticlePsychiatry investigation2020

Skin Diseases in Patients with Primary Psychiatric Disorders.

Paraskevi Mavrogiorgou, Corinna Mersmann, Gabriele Gerlach, Stephan Herpertz, Georg Juckel

Open access · diamondAbstract read
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Article in Psychiatry investigation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 21% of its field
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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Paraskevi MavrogiorgouDepartment of Psychiatry, Ruhr University Bochum, LWL-Universitätsklinikum, Bochum, Germany.
Corinna MersmannDepartment of Psychiatry, Ruhr University Bochum, LWL-Universitätsklinikum, Bochum, Germany.
Gabriele GerlachDepartment of Psychotherapy and Preventive Medicine, Ruhr University Bochum, LWL-Universitätsklinikum, Bochum, Germany.
Stephan HerpertzDepartment of Psychotherapy and Preventive Medicine, Ruhr University Bochum, LWL-Universitätsklinikum, Bochum, Germany.
Georg JuckelDepartment of Psychiatry, Ruhr University Bochum, LWL-Universitätsklinikum, Bochum, Germany.
LWL-Universitätsklinikum Bochum · DERuhr University Bochum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe few psychodermatological studies of primary psychiatric populations so far suggest that parasitic-infectious skin diseases are the most common dermatological comorbidity in more than 70% of psychiatric patients, which should be studied here in a large data bank outside dermatological treatment facilities.

methodsIn a descriptive-explorative and retrospective study, more than 17,000 patients with primary psychiatric disorders were examined to investigate dermatological comorbidities.

resultsThe proportion of patients with primary mental disorders and additional dermatological disease was 1.24% (n=212). Here, psoriasis (35.4%) and atopic dermatitis (22.6%) were the most frequent dermatological diseases among these 212 patients. Infectious-parasitic skin diseases were present in 13.2% of comorbid patients. The most common mental disorder was a depressive illness, seen in 42.5% (n=90) of patients.

conclusionOur results confirmed the frequent association of depression with psoriasis and atopic dermatitis, indicating the need for the early detection and treatment of such comorbid patients. In contrast, psychiatric inpatients do not appear to suffer from predominantly infectious-parasitic dermatoses.

Indexed as

DepressionPsychiatric disordersPsychodermatologySkin diseases

Identifiers

PMID32093459
PMCPMC7046994
OpenAlexW3008191750

What OpenQuestion holds

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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.