Evidence map›Paper›PMID 40328828›Full record

ArticleScientific reports2025

Disproportionality analysis of drug-induced erectile dysfunction using FAERS database.

Xiaona Tian, Dongqiang Luo, Wenling Zeng, Xinyu Zhou, Yishen Chen, DanDan Dai, Caishan Fang, Jianjun Xiao

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Xiaona TianDepartment of Medical Oncology, Zhongshan City People's Hospital, Zhongshan, China.
Dongqiang LuoGuangzhou University of Chinese Medicine, Guangzhou, China.
Wenling ZengThe Second Clinical School, Nanchang University, Nanchang, China.
Xinyu ZhouGuangzhou University of Chinese Medicine, Guangzhou, China.
Yishen ChenGuangdong Jiangmen Chinese Medical College, Jiangmen, China.
DanDan DaiThe first Clinical College, Guangzhou University of Chinese Medicine, Guangzhou, China.
Caishan FangHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jianjun XiaoDepartment of Medical Oncology, Zhongshan City People's Hospital, Zhongshan, China. 18707008196@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study employs a comprehensive approach to systematically identify drugs associated with Drug-Induced Erectile Dysfunction (DIED) risk and constructs a DIED risk assessment platform. Utilizing the FAERS database, we identified "Erectile Dysfunction," "Organic Erectile Dysfunction," and "Psychogenic Erectile Dysfunction" as relevant Preferred Terms (PTs) for DIED. After excluding patients diagnosed with Erectile Dysfunction (ED), drugs suspected as primary suspects (PS) in ≥ 10 DIP events were selected as target drugs. Through disproportionality analysis, we identified positive signals for these drugs using ROR, PRR, BCPNN, and EBGM. We further assessed the independent effects of positive drugs by adjusting for confounding factors such as age using multivariate logistic regression. Subsequently, we obtained the median onset time and outcome events of DIED for target drugs and compared them by age. The DIED platform is accessible for free at http://116.196.73.86:3838/ADR-DATABASE/DIED/. A total of 67 target drugs were identified as PS in DIED events with 10 or more cases. Based on disproportionality analysis, we further identified 28 drugs with DIED risk signals. Multivariate logistic regression revealed that 23 of these drugs were independent risk factors for DIED (OR > 1 and P < 0.05). Analysis of outcome events showed a significant difference in the median onset time of DIED between different age groups. This study identified 28 drugs associated with DIED risk. We also found some previously unreported DIP risk drugs, including omeprazole, antihypertensive drugs, etc., which should be of clinical concern.

Indexed as

Drug-Related Side Effects and Adverse ReactionsErectile DysfunctionAdultAgedDatabases, FactualHumansLogistic ModelsMaleMiddle AgedRisk AssessmentRisk FactorsDisproportionality analysisDrug-Induced erectile dysfunctionDrug surveillanceMultivariate logistic regression

Identifiers

PMID40328828
PMCPMC12056008

What Socratic 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 Socratic graph.