Evidence map›Paper›PMID 42610052›Full record

ArticleClinical, cosmetic and investigational dermatology2026

Clinical Characteristics and Factors Associated with Hair Loss Severity in Chronic Hepatitis B Patients Receiving Pegylated Interferon-Alpha: A Retrospective Cohort Study.

Xiaodan Wang, Zhenzhen Yan, Cuie Liu, Yanqing Gao

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

4 authors.

Xiaodan WangDepartment of Dermatology and Venereology, Beijing You An Hospital, Capital Medical University, Beijing, People's Republic of China.ORCID 0009-0009-9934-5925
Zhenzhen YanDepartment of Dermatology and Venereology, Beijing You An Hospital, Capital Medical University, Beijing, People's Republic of China.
Cuie LiuDepartment of Dermatology and Venereology, Beijing You An Hospital, Capital Medical University, Beijing, People's Republic of China.
Yanqing GaoDepartment of Dermatology and Venereology, Beijing You An Hospital, Capital Medical University, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To characterize the phenotype and evaluate factors associated with hair loss severity in patients already experiencing alopecia during pegylated interferon alpha therapy or nucleos(t)ide analog therapy for CHB. Methods: This retrospective cohort study included 78 CHB patients presenting with hair loss. Thirty-eight patients received Peg-IFNα combined with nucleos(t)ide analogs, and 40 received nucleos(t)ide analogs alone. Clinical and trichoscopic characteristics were assessed, and hair loss severity was categorized by daily hair shedding (<50, 50-100, >100 hairs/day). Multivariate ordered logistic regression examined the independent association between interferon therapy and hair loss severity, adjusting for age, sex, duration of alopecia, family history, and other contributing factors. Results: Telogen effluvium was significantly more frequent in the interferon group than in the nucleos(t)ide analog group (73.7% vs 25.0%, P<0.001), accompanied by shorter disease duration (median 2.0 vs 24.0 months, P<0.001), and more severe daily shedding (>100 hairs/day: 26.3% vs 10.0%, P=0.014). Interferon therapy independently increased hair loss severity (OR=3.21, 95% CI: 1.00-10.28, P=0.049). Increasing age (OR=0.89, P=0.005) and male sex (OR=0.29, P=0.018) were protective. Conclusion: Among CHB patients presenting with alopecia, Peg-IFNα therapy is independently associated with greater hair loss severity, predominantly presenting as acute telogen effluvium. This underscores the need for proactive counseling and monitoring, particularly among younger female patients.

Indexed as

chronic hepatitis Bdrug-induced hair losspegylated interferon alpharisk factorstelogen effluviumtrichoscopy

Identifiers

PMID42610052
PMCPMC13480395

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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.