Evidence map›Paper›PMID 40302713›Full record

ArticleJournal of cosmetic dermatology2025

Efficacy and Safety of Long-Term Azathioprine Therapy for Severe Alopecia Areata: A 10-Year Cohort Study.

Susan Farshi, Parvin Mansouri

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

2 authors.

Susan FarshiSkin and Stem Cell Research Center, Tehran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0003-0575-4381
Parvin MansouriSkin and Stem Cell Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlopecia areata is an autoimmune disease in which T cells may play a key role in its pathogenesis. Various immunosuppressive drugs have been employed with varying degrees of success.

objectivesThis study aimed to evaluate the long-term efficacy and safety of azathioprine as a systemic monotherapy for moderate to severe alopecia areata.

methodsA total of 63 patients (27 females [42.9%] and 36 males [57.1%]) with a minimum 6-month history of alopecia areata were included. The extent of scalp hair regrowth was assessed during the treatment and annually for up to 10 years using the Severity of Alopecia Tool (SALT score). The primary endpoint was the percent change in SALT score during treatment. The daily dosage of azathioprine was calculated at 2 mg/kg of body weight.

resultsThe mean duration of the current episode of scalp hair loss was 34.10 months (±39.16). The mean percentage of hair regrowth was 92.69% (±9.08). The mean percentage of hair loss decreased from 74.2% (±27.8) before treatment to 5.2% (±8.6) after 10 years of azathioprine treatment, indicating a highly significant statistical improvement (Paired t-test, 95% CI = 55.9-75.3). The mean hair loss score (S0-S5) improved from 5.56 (±1.3) before treatment to 0.67 (±0.53) after 10 years of treatment, showing a significant difference from the baseline score (Wilcoxon signed-rank test, p < 0.0001).

conclusionThis study demonstrates that azathioprine is a safe and effective systemic therapy for the treatment of recalcitrant and severe alopecia areata.

Indexed as

Alopecia AreataAzathioprineImmunosuppressive AgentsAdolescentAdultFemaleFollow-Up StudiesHairHumansMaleMiddle AgedSeverity of Illness IndexTime FactorsTreatment OutcomeYoung AdultAzathioprineImmunosuppressive Agentsalopecia areataazathioprinethiopurine methyltransferase

Identifiers

PMID40302713
PMCPMC12042066

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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.