Evidence map›Paper›PMID 41002719›Full record

ArticleDiseases (Basel, Switzerland)2025

Detection of Serum Levels of Interleukins-17, 21, 6 and Tumor Necrosis Factor-α in Patients with Patchy Alopecia Areata and Their Association with Disease Severity.

Abeer Khaled Abu-El-Azayem, Zinab Alatawi, Helal F Hetta, Ayman Salama, Nizar Sirag, Eid Alatwi, Rehab Mohamed Naguib, Randa Erfan, Haitham Abdelhamid, Abeer El-Dessouki El Sayed and 1 more

Abstract read
In one paragraph

Article in Diseases (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

11 authors.

Abeer Khaled Abu-El-AzayemMedical Microbiology and Immunology Department, Faculty of Medicine, Cairo University, Cairo 11956, Egypt.
Zinab AlatawiDepartment of Family and Community Medicine, Faculty of Medicine, University of Tabuk, Tabuk 47512, Saudi Arabia.ORCID 0000-0002-8963-8398
Helal F HettaDivision of Microbiology, Immunology and Biotechnology, Department of Natural Products and Alternative Medicine, Faculty of Pharmacy, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0000-0001-8541-7304
Ayman SalamaDepartment of Pharmaceutics, Faculty of Pharmacy, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0009-0005-7946-4477
Nizar SiragDivision of Pharmacognosy, Department of Natural Products and Alternative Medicine, Faculty of Pharmacy, University of Tabuk, Tabuk 71491, Saudi Arabia.ORCID 0000-0002-5453-6332
Eid AlatwiDepartment of Pharmacology, College of Pharmacy, Jouf University, Sakaka 72388, Saudi Arabia.ORCID 0000-0001-9211-8118
Rehab Mohamed NaguibDermatology and Venerology Department, Faculty of Medicine, Beni-Suef University, Beni-Suef 62511, Egypt.
Randa ErfanDepartment of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Cairo University, Cairo 11956, Egypt.
Haitham AbdelhamidPlastic Surgery and Hair Transplantation Center, Vertex Ästhetik Klinik, Cairo 12566, Egypt.
Abeer El-Dessouki El SayedHealth Administration and Information Technology, Faculty of Applied Health Science Technology, Misr University for Science and Technology, 6th of October City, Giza 12566, Egypt.
Mera Mohamed Galal AnanMedical Microbiology and Immunology Department, Faculty of Medicine, Cairo University, Cairo 11956, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

alopecia areatacytokinesinflammationinterleukins

Identifiers

PMID41002719
PMCPMC12468395

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.