Evidence map›Paper›PMID 40690154›Full record

ArticleAdvances in therapy2025

Patient-Reported Psychosocial Burdens and Quality of Life and Work Productivity Impacts Among Patients with Clinically Distinct Alopecia Areata Severity Profiles.

Kent A Hanson, Jenny Austin, Nicola Clayton, Peter Anderson, Sergio Vano-Galvan, Simran Marwaha, Samantha K Kurosky, Alexandre Lejeune, James Piercy, Ernest H Law

Abstract read
In one paragraph

Article in Advances in therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

10 authors.

Kent A HansonPfizer Inc, New York, NY, USA.ORCID http://orcid.org/0000-0002-7201-3324
Jenny AustinAdelphi Real World, Bollington, UK.ORCID http://orcid.org/0000-0003-4297-6290
Nicola ClaytonDepartment of Dermatology, Chelsea & Westminster Hospital NHS Foundation Trust, London, UK.ORCID http://orcid.org/0009-0006-1895-6475
Peter AndersonAdelphi Real World, Bollington, UK.ORCID http://orcid.org/0000-0002-2171-8228
Sergio Vano-GalvanDepartment of Dermatology, Ramón y Cajal University Hospital, Instituto Ramón y Cajal de Investigación Sanitaria, University of Alcala, Madrid, Spain.ORCID http://orcid.org/0000-0003-2773-7494
Simran MarwahaAdelphi Real World, Bollington, UK.ORCID http://orcid.org/0000-0003-0380-0372
Samantha K KuroskyPfizer Inc, New York, NY, USA.ORCID http://orcid.org/0000-0003-2392-8111
Alexandre LejeunePfizer Inc, Paris, France.
James PiercyAdelphi Real World, Bollington, UK.ORCID http://orcid.org/0000-0001-7015-1021
Ernest H LawPfizer Inc, New York, NY, USA. ernest.law@pfizer.com.ORCID http://orcid.org/0000-0002-6111-8008

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAlopecia areata (AA) may negatively impact patient quality of life (QoL), disease perception, and work productivity. AA severity is not solely based on scalp hair loss; individuals with AA can experience psychosocial burdens, including emotional symptoms and activity limitations (ES/AL). Our objective was to identify discrete AA severity profiles and evaluate the association with patient-reported outcomes (PROs).

methodsDermatologist and patient surveys from the Alopecia Areata Disease Specific Programme in France, Germany, Italy, Spain, and the United Kingdom were analyzed. PRO instruments included the Alopecia Areata Patient Priority Outcomes (AAPPO), Work Productivity Activity Index-AA, Skindex-16 AA, Patient Satisfaction with Hair Growth (P-Sat), and Hospital Anxiety and Depression Scale (HADS). Latent class analysis identified distinct classes using the AAPPO hair loss, ES, and AL response options.

resultsA 5-class model was selected. Each class exhibited distinct profiles based on patient-reported hair loss and ES/AL burden: (1) very mild hair loss, very mild ES/AL (n = 175); (2) mild hair loss, mild ES/AL (n = 165); (3) moderate hair loss, very severe ES/AL (n = 111); (4) severe hair loss, moderate ES/AL (n = 52); and (5) very severe hair loss, severe ES/AL (n = 33). Class 3 reported significantly more overall work impairment [β = 16.3 (95% CI, 7.8-24.7)] than class 1. Overall Skindex-16 AA scores were highest for class 3 [β = 38.7 (95% CI, 33.3-44.2)]. Class 3 reported significantly more HADS anxiety [β = 6.0 (95% CI, 4.9-7.0)] and depression [β = 5.7 (95% CI, 4.6-6.9)] than class 1. Across all P-Sat domains, class 5 reported the least satisfaction with therapy.

conclusionGenerally, patients with more severe patient-reported hair loss and ES/AL had decreased QoL and satisfaction with care and greater work productivity impairment. Although class 3 had moderate patient-reported hair loss, patients experienced the most severe ES/AL burden, suggesting that AA impacts well-being and daily activities in patients with less extensive hair loss.

Indexed as

Alopecia AreataEfficiencyPatient Reported Outcome MeasuresQuality of LifeAdultCost of IllnessFemaleHumansMaleMiddle AgedSeverity of Illness IndexAlopecia areataLatent class analysisPatient-reported outcomesPsychosocial burden

Identifiers

PMID40690154
PMCPMC12394309

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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.