Evidence map›Paper›PMID 37622204›Full record

ArticleActa dermato-venereologica2023

Real-World Treatment Patterns among Patients with Alopecia Areata in the USA: A Retrospective Claims Analysis.

Nicolae Done, Lauren Bartolome, Elyse Swallow, Wei Gao, Christopher Carley, Travis Wang, Arash Mostaghimi

Abstract read
In one paragraph

Article in Acta dermato-venereologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Autophagy Dysfunction: The Kernel of Hair Loss?Clinical, cosmetic and investigational dermatology · 2024
    Review
  8. Article
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

7 authors.

Nicolae DoneAnalysis Group, Boston, MA, US. Nicolae.Done@analysisgroup.com.
Lauren BartolomePfizer, Collegeville, PA, USA.
Elyse SwallowAnalysis Group, Boston, MA, US.
Wei GaoAnalysis Group, Boston, MA, US.
Christopher CarleyAnalysis Group, Boston, MA, US.
Travis WangAnalysis Group, Boston, MA, US.
Arash MostaghimiBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alopecia areata is an autoimmune disorder characterized by hair loss, for which there are few treatment options. This claims-based study characterized recent real-world treatment patterns among patients in the USA with alopecia areata, including the subtypes alopecia totalis and alopecia universalis, in the first year after diagnosis of an episode of alopecia areata. Approximately 5% of all patients (adults (age ≥ 18 years), n = 7,703; adolescents (age 12-17 years), n = 595) had alopecia totalis or alopecia universalis. Corticosteroids were the most common first-line (1L) and second-line (2L) treatments. The mean time from diagnosis of alopecia areata to initiation of 1L treatment was 2.2 days for adults and 2.6 days for adolescents; mean 1L duration was 76.9 and 64.3 days, respectively. For adults (57.5%) and adolescents (59.7%) with 2L therapy, the mean time from 1L discontinuation to 2L initiation was 57.2 and 53.6 days, respectively; the mean duration of 2L treatment was 55.5 and 50.1 days, respectively. More patients with vs without alopecia totalis or alopecia universalis initiated 2L therapy (adults: 71.9% vs 56.8%; adolescents: 71.4% vs 58.9%). The proportion of days covered during the first year post-diagnosis was 36.7% (adults) and 34.1% (adolescents). These results highlight the substantial disease burden of alopecia areata and a need for more effective treatments.

Indexed as

Alopecia AreataAdolescentAdultAlopeciaChildHumansInsurance Claim ReviewRetrospective StudiesUnited States

Identifiers

PMID37622204
PMCPMC10469222

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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.