Evidence map›Paper›PMID 40051628›Full record

ArticleFrontiers in immunology2025

Dermatological adverse events in Chinese prostate cancer patients treated with the androgen receptor inhibitor apalutamide.

Qi Wang, Zhao-Ting Ren, Hui-Feng Wu, Hao-Chen Gu, Xia-Wei Li, Zhuang-Li Tang

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  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

6 authors.

Qi Wang *Department of Dermatology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhao-Ting Ren *The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hui-Feng Wu *Department of Urology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Hao-Chen GuThe Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Xia-Wei LiDepartment of Gastrointestinal Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Zhuang-Li TangDepartment of Dermatology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Apalutamide, an androgen receptor inhibitor, has shown good efficacy in treating prostate cancer (PCa). However, dermatological adverse events (dAEs) are common and threatening, and relevant studies in China are limited. Methods: This was a retrospective, single-center analysis. We included PCa patients who were hospitalized and received apalutamide treatment at one comprehensive hospital in eastern China from August 2020 to March 2023. These patients were categorized into two groups for comparative analysis: those with (dAEs Results: Our study enrolled 90 individuals with an overall dAEs incidence of 50.0%. All dAEs occurred within one year following apalutamide use. Over half of dAEs Conclusions: Apalutamide-associated dAEs are common in the Chinese population, among which the majority are mild to moderate, with pruritus, erythema, and papules ranking as the most prevalent symptoms. Elevated PSA levels were documented in patients with dAEs.

Indexed as

Androgen Receptor AntagonistsDrug EruptionsProstatic NeoplasmsThiohydantoinsAgedAged, 80 and overChinaEast Asian PeopleHumansIncidenceMaleMiddle AgedRetrospective StudiesAndrogen Receptor AntagonistsapalutamideThiohydantoinsapalutamideChinese populationdAEsdermatological adverse eventsprostate cancerprostate-specific antigenPSA

Identifiers

PMID40051628
PMCPMC11882852

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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.