Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study

The nomogram model based on our data is effective in predicting FPHL risk, which could help optimize disease management.

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Publication Details

Journal
Clinical Cosmetic and Investigational Dermatology
Published
2026-02-01
DOI
https://doi.org/10.2147/ccid.s585446
Primary Topic
Hair Growth and Disorders
Type
article
Field-Weighted Citation Impact
0.00
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article

Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study

Pan Wang, Qi Long, Zhiming Ye, Siqi Chen et al.
Clinical Cosmetic and Investigational Dermatology
Hair Growth and Disorders
article

Trichoscopic Features, Clinical Correlates, and Risk Prediction in Female Pattern Hair Loss: A Retrospective Case-Control Study

Pan Wang, Qi Long, Zhiming Ye, Siqi Chen, Boquan Long, Hongwei Guo
article en

Abstract

The nomogram model based on our data is effective in predicting FPHL risk, which could help optimize disease management.

Clinical Cosmetic and Investigational DermatologyVol. Volume 19
Guangdong Medical College (CN), Central People's Hospital of Zhanjiang (CN)
Gender equality
Openalex Percentile: Top 64%
Hair Growth and Disorders
DOIOpen Access PDFOpenAlex
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