Evidence map›Paper›PMID 37510267›Full record

ReviewGenes2023

Clinical and Genetic Aspects of Alopecia Areata: A Cutting Edge Review.

Chih-Yi Ho, Chiu-Yen Wu, Jeff Yi-Fu Chen, Ching-Ying Wu

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Genes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07454876 (Association Between Toll Like Receptor- 7 Gene Polymorphism and Alopecia Areata), which is not on this map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
10.4field-weighted citation impact, top 1% of its field
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.

NCT07454876 completednot on this map

Association Between Toll Like Receptor- 7 Gene Polymorphism and Alopecia Areata

TypeobservationalSponsorBenha UniversityRan2022 to 2023Enrolled120ConditionsAlopecia Areata, TLRs
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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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

4 authors at 2 institutions in 1 country.

Chih-Yi HoDepartment of Dermatology, College of Medicine and Post Baccalaureat Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan.ORCID 0009-0003-1046-0959
Chiu-Yen WuDepartment of Cosmetic Science, Chang Gung University of Science and Technology, Taoyuan 333, Taiwan.
Jeff Yi-Fu ChenDepartment of Biotechnology, Kaohsiung Medical University, Kaohsiung 807, Taiwan.
Ching-Ying WuDepartment of Dermatology, College of Medicine and Post Baccalaureat Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 801, Taiwan.ORCID 0000-0002-3645-5117
Chang Gung University of Science and Technology · TWKaohsiung Medical University Chung-Ho Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alopecia areata (AA) is a chronic, non-scarring, immune-mediated skin disease that affects approximately 0.5-2% of the global population. The etiology of AA is complex and involves genetic and environmental factors, with significant advancements in genetic research occurring in recent years. In addition to well-known genes such as

Indexed as

Alopecia AreataAllelesGenetic Predisposition to DiseaseHumansProtein Tyrosine Phosphatase, Non-Receptor Type 22Protein Tyrosine Phosphatase, Non-Receptor Type 22PTPN22 protein, humanalopecia areataalopecia totalisalopecia universalisDNA genotypinggenome-wide association study (GWAS)human leukocyte antigen (HLA)JAK-STAT signaling pathwaymolecular geneticssingle nucleotide polymorphism (SNP)

Identifiers

PMID37510267
PMCPMC10379312
OpenAlexW4382655946

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.