Evidence map›Paper›PMID 35157313›Full record

Observational studyThe British journal of dermatology2022

The associated burden of mental health conditions in alopecia areata: a population-based study in UK primary care.

Abby E Macbeth, Susan Holmes, Matthew Harries, Wing Sin Chiu, Christos Tziotzios, Simon de Lusignan, Andrew G Messenger, Andrew R Thompson

Registry-linked trialOpen access · hybridAbstract readObservational Study
In one paragraph

Observational study in The British journal of dermatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04239521 (The Epidemiology, Management, and the Associated Burden of Mental Health, Atopic and Autoimmune Conditions, and Common Infections in Alopecia Areata), which is not on this map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
15.6field-weighted citation impact, top 1% 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.

NCT04239521 completednot on this map

The Epidemiology, Management, and the Associated Burden of Mental Health, Atopic and Autoimmune Conditions, and Common Infections in Alopecia Areata

TypeobservationalSponsorMomentum DataRan2020 to 2022Enrolled51,955ConditionsAlopecia Areata, Depressive Episode, Recurrent Depressive Disorder, Anxiety DisordersArmsExposure of interest (studies 2 & 3).
3 · Its place in the literature

Who cites it

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 76 citations in OpenAlex.

  1. Pooled it
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  6. Association of Janus kinase inhibitors with reduced depression in alopecia areata.Journal of the European Academy of Dermatology and Venereology : JEADV · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 8 institutions in 1 country.

Abby E MacbethDepartment of Dermatology, Norfolk & Norwich University Hospitals NHS Foundation Trust, Norwich, UK.
Susan HolmesAlan Lyell Centre for Dermatology, Queen Elizabeth University Hospital, Glasgow, UK.
Matthew HarriesThe Dermatology Centre, Salford Royal NHS Foundation Trust, Salford, UK.
Wing Sin ChiuPfizer Ltd, Walton Oaks, Walton on the Hill, Tadworth, KT20 7NS, UK.
Christos TziotziosSt John's Institute of Dermatology, King's College London, London, UK.ORCID 0000-0003-1662-4494
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
Andrew G MessengerDepartment of Dermatology, Royal Hallamshire Hospital, Sheffield, S10 2JF, UK.ORCID 0000-0003-1424-8069
Andrew R ThompsonSouth Wales Clinical Psychology Training Programme, Department of Psychology, Cardiff University, 11th Floor, Tower Building, 70 Park Place, Cardiff, CF10 3AT, UK.ORCID 0000-0001-6788-7222
Cardiff University · GBKing's College London · GBManchester Academic Health Science Centre · GBNorfolk and Norwich University Hospitals NHS Foundation Trust · GBPfizer (United Kingdom) · GBQueen Elizabeth University Hospital · GBRoyal Hallamshire Hospital · GBUniversity of Oxford · GB

Funding

Pfizer UK
6 · The paper itself

Abstract

backgroundAlopecia areata (AA) is a common cause of nonscarring hair loss that can have a profound psychological impact.

objectivesTo assess the co-occurrence of depression and anxiety in adults with AA compared with the general population, and to evaluate the mental health treatment burden and impact on time off work and unemployment.

methodsIn total, 5435 people with newly diagnosed AA in UK primary care were identified from the Oxford Royal College of General Practitioners Research and Surveillance Centre network database, and matched to 21 740 controls. In cases and controls, we compared the prevalence and incidence of depressive episodes, recurrent depressive disorder and anxiety disorder, rates of time off work and unemployment, and, in those with pre-existing mental health conditions, rates of mental health-related prescribing and referral rates. This observational was registered with ClinicalTrials.gov (NCT04239521).

resultsDepression and anxiety were more prevalent in people diagnosed with AA than in controls (P < 0·001). People with AA were also more likely to subsequently develop new-onset depression and anxiety: adjusted hazard ratio (aHR) for recurrent depressive disorder 1·38 [95% confidence interval (CI) 1·13-1·69], depressive episodes aHR 1·30 (95% CI 1·04-1·62) and anxiety disorder aHR 1·33 (95% CI 1·09-1·63); to be issued time off work certificates (aHR 1·56, 95% CI 1·43-1·71); and to be recorded as unemployed (aHR 1·82, 95% CI 1·33-2·49). Higher rates of antidepressant prescribing were also seen in people with AA.

conclusionsPeople with AA have higher rates of depression and anxiety than those without AA. This impacts deleteriously on mental health treatment burden, time off work and unemployment. Evidence-based mental health treatment programmes are needed for people with AA.

Indexed as

Alopecia AreataAdultHumansMental HealthPrimary Health CareUnited Kingdom

Identifiers

PMID35157313
PMCPMC9542942
OpenAlexW4212923069

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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.