Evidence map›Paper›PMID 37519427›Full record

ArticleHealth science reports2023

Effects of age and sex on the comorbidities of alopecia areata: A cross-sectional hospital-based study.

Elham Hamidpour, Safoura Shakoei, Maryam Nasimi, Narges Ghandi

Open access · goldAbstract read
In one paragraph

Article in Health science reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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.

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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Article
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.

Elham HamidpourDepartment of Dermatology, Imam Khomeini Hospital Complex Tehran University of Medical Sciences (TUMS) Tehran Iran.
Safoura ShakoeiDepartment of Dermatology, Imam Khomeini Hospital Complex Tehran University of Medical Sciences (TUMS) Tehran Iran.ORCID 0000-0001-6790-7633
Maryam NasimiDepartment of Dermatology, Razi Hospital Tehran University of Medical Sciences (TUMS) Tehran Iran.ORCID 0000-0002-0571-5940
Narges GhandiDepartment of Dermatology, Razi Hospital Tehran University of Medical Sciences (TUMS) Tehran Iran.
Imam Khomeini Hospital · IRRazi Hospital · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Alopecia areata (AA) is a common autoimmune nonscarring hair disorder with strong genetic links. It seems to be associated with several comorbidities affecting the AA treatment plan. On the other hand, the prevalence of comorbidities in different populations can be different based on genetic differences. This study aimed to clarify the association between age and sex with various comorbidities in AA patients. Methods: This cross-sectional study was conducted on 402 patients suffering from AA referred to our hospitals between 2018 and 2021. The clinical records of the patients were reviewed, including demographic and clinical information. Results: The most common diseases associated with AA were anxiety (36%), dermatitis (30%), hypothyroidism (9%), hyperlipidemia (5%), and vitamin D deficiency (4%). The most common comorbidities in AA patients over 18 years were allergic rhinitis, psychological problems, diabetes, hypertension, and hypothyroidism ( Conclusion: Sex and age could affect comorbidities. The prevalence of hypothyroidism was higher in our study; it was higher in women than in men. Thyroid function tests were recommended for AA patients.

Indexed as

alopecia areatacomorbiditiescross‐sectionalhypothyroidism

Identifiers

PMID37519427
PMCPMC10372299
OpenAlexW4385311412

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.