Evidence map›Paper›PMID 30580274›Full record

ArticleBMJ open2018

Stigmatisation and body image impairment in dermatological patients: protocol for an observational multicentre study in 16 European countries.

Florence J Dalgard, Anthony Bewley, Andrea W Evers, Uwe Gieler, Lars Lien, Francesca Sampogna, Sonja Ständer, Lucia Tomas-Aragones, Ninke Vulink, Jörg Kupfer

Abstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Patient and Public Involvement in Dermatology Research: A Review.American journal of clinical dermatology · 2022
    Review
  14. Article
  15. Article
  16. Psychological Effects of the COVID-19 Pandemic on Hungarian Adults.International journal of environmental research and public health · 2020
    Article
  17. Observational
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

10 authors.

Florence J DalgardDepartment of Dermatology and Venereology, Skåne University Hospital, Malmo, Sweden.ORCID 0000-0002-5740-6541
Anthony BewleyDepartment of Dermatology, Barts Health NHS Trust, London, UK.
Andrea W EversDepartment of Health, Medical and Neuropsychology, Faculty of Social and Behavioral Science, Leiden, The Netherlands.
Uwe GielerDepartment of Dermatology, Justus Liebig University, Giessen, Germany.
Lars LienNational Centre for Dual Diagnosis, Innlandet Hospital Trust, Brumunddal, Norway.
Francesca SampognaClinical Epidemiology Unit, Istituto Dermopatico dell'Immacolata, Rome, Italy.
Sonja StänderCenter for Chronic Pruritus and Department of Dermatology, University Hospital Münster, Münster, Germany.
Lucia Tomas-AragonesDepartment of Psychology, University of Zaragoza, Zaragoza, Spain.
Ninke VulinkDepartment of Psychiatry, Academic Medical Hospital, Amsterdam, The Netherlands.
Jörg KupferInstitute of Medical Psychology, Justus Liebig University, Giessen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPatients with common skin diseases may have substantial psychosocial comorbidity and reduced quality of life. This study aims at exploring further the psychosocial burden of skin diseases by assessing stigmatisation and body image problems in a large sample of patients with skin disease across Europe. METHODS AND ANALYSIS: The study is an observational cross-sectional multicentre study across 16 European countries comparing stigmatisation and body image in patients with skin disease compared with controls. Consecutive patients will be recruited in outpatient clinics and will complete validated questionnaires prior to clinical examination by a dermatologist at each recruitment site. In addition to sociodemographic background information, the outcomes will be: mood disorders assessed by short versions of the Patient Health Questionnaire and the General Anxiety Disorder Assessment; general health assessed by the EuroQol-Visual Analogue Scale; stigmatisation experience assessed by the Perceived Stigmatisation Questionnaire; stress assessed by the Perceived Stress Scale and body image assessed by the Dysmorphic Concern Questionnaire. The main criteria for eligibility are to be 18 years old or more. The analysis will include comparison between patients and controls for the main outcomes using t-tests, analyses of covariance and multivariate logistic regression models adjusting for potential confounding factors. ETHICS AND DISSEMINATION: The study protocol is approved by the University of Giessen and by the local Ethical Committee in each recruitment centre. Informed consent will be given by each participant. The results of the study will be disseminated by publications in international peer-reviewed journals and presented at international conferences and general public conferences. Results will influence support intervention and management of patients with skin disease across Europe. TRIAL REGISTRATION NUMBER: DRKS00012745; Pre-results.

Indexed as

StereotypingBody ImageCross-Sectional StudiesEuropeHumansLogistic ModelsMood DisordersMulticenter Studies as TopicMultivariate AnalysisObservational Studies as TopicQuality of LifeResearch DesignSelf ReportSkin DiseasesStress, Psychologicalbody imageburden of diseasedermatological epidemiologystigmatisation

Identifiers

PMID30580274
PMCPMC6307615

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.