Evidence map›Paper›PMID 37636274›Full record

ArticleJournal of inflammation research2023

Alopecia Universalis in an Elderly Chinese Man Induced by Sacubitril/Alisartan, a Novel Angiotensin Receptor-Neprilysin Inhibitor.

Yan Teng, Yibin Fan, Danying Shang, Xiaohua Tao, Dongsheng Sun

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of inflammation research, 2023. 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
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Review
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

5 authors at 1 institution in 1 country.

Yan TengCenter for Plastic & Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, 310014, People's Republic of China.ORCID 0000-0003-3817-6696
Yibin FanCenter for Plastic & Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, 310014, People's Republic of China.
Danying ShangCenter for Plastic & Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, 310014, People's Republic of China.
Xiaohua Tao *Center for Plastic & Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou, 310014, People's Republic of China.
Dongsheng Sun *Geriatric Medicine Center, Department of Geriatric Medicine, Zhejiang Provincial People's Hospital (Affiliated People's Hospital), Hangzhou Medical College, Hangzhou, Zhejiang, People's Republic of China.
Zhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug-induced alopecia areata is a rare adverse event wherein medications such as antimicrobials, anticonvulsants, and biologics, trigger the premature transition of actively growing hairs into the telogen phase. Herein, a unique case of alopecia universalis observed during a clinical trial involving sacubitril/alisartan, a novel angiotensin receptor-neprilysin inhibitor (ARNI) has been reported. This case contributes to the range of cutaneous reactions that might be observed in association with ARNI therapy.

Indexed as

alopecia universalisangiotensin receptor-neprilysin inhibitorsacubitril/alisartan

Identifiers

PMID37636274
PMCPMC10447223
OpenAlexW4385989319

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.