The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
S1 guideline for diagnostic evaluation in androgenetic alopecia in men, women and adolescents: S1 guideline for diagnostic evaluation in AGA
Abstract
Androgenetic alopecia (AGA) is the most common hair loss disorder, affecting both men and women. Due to the frequency and the often significant impairment of life perceived by the affected patients, competent advice, diagnosis and treatment is particularly important. As evidence-based guidelines on hair disorders are rare, a European consensus group was constituted to develop guidelines for the diagnostic evaluation and treatment of AGA. This S1 guideline for diagnostic evaluation of AGA in men, women and adolescents reviews the definition of AGA and presents expert opinion-based recommendations for sex-dependent steps in the diagnostic procedure.
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Cites
Diagnostic value of calculated testosterone indices in the assessment of polycystic ovary syndrome
Hahn, S., Kuehnel, W., Tan, S., Kramer, K., Schmidt, M., Roesler, S., Kimmig, R., Mann, K., & Janssen, O. E. (2007) · Clinical Chemical Laboratory Medicine · doi:10.1515/cclm.2007.031 · Cited by 82
Cited by
Kim, K. E., Cho, D., & Park, H. J. (2016) · Life Sciences · doi:10.1016/j.lfs.2016.03.039 · Cited by 455
Interventions for female pattern hair loss
van Zuuren, E. J., Fedorowicz, Z., Carter, B., Andriolo, R. B., & Schoones, J. (2012) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd007628.pub3 · Cited by 64
Metadata
- Authors
- Blume-Peytavi, U., Blumeyer, A., Tosti, A., Finner, A., Marmol, V., Trakatelli, M., Reygagne, P., Messenger, A., & the European Consensus Group
- Venue
- British Journal of Dermatology
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-12-08
- Volume
- 164
- Issue
- 1
- Pages
- 5-15
- ISSN
- 0007-0963 (ISSN-L)
- OpenAlex
- W2113305933
- Cited by
- 234
- References
- 1
- FWCI
- 14.76
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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