Evidence map›Paper›PMID 39613826›Full record

ArticleScientific reports2024

Sex differences of fall-risk-increasing drugs in the middle-aged and elderly: a descriptive, cross-sectional study of FDA adverse event reporting system.

Ying Zhao, Yuke Zhong, Liuqing Wu, Jiao Yan, Weitao Lu

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ying Zhao *Shenzhen Longgang Central Hospital, Shenzhen, 518116, China.
Yuke Zhong *Shenzhen Longgang Central Hospital, Shenzhen, 518116, China.
Liuqing WuShenzhen Longgang Central Hospital, Shenzhen, 518116, China.
Jiao YanDepartment of Respiratory Medicine, Traditional Chinese Medicine Innovation Research Center, Shenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China.
Weitao LuDepartment of Pharmacy, Jiangmen Central Hospital, Affiliated Jiangmen Hospital of Sun Yat-sen University, Jiangmen, Guangdong, China. luweitao012345@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It's well known that sex is a risk factor for the occurrence of adverse events (AEs), most of which have found sex differences. Real-world data studies on the sex differences of fall-risk-increasing drugs (FRIDs) are few and far between, with most small-scale retrospective studies based on FRID classes. To establish a list of FRIDs and describe their sex differences, we used preferred terms from the Medical Dictionary for Regulatory Activities to search for AEs in the FDA Adverse Event Reporting System (FAERS), and then perform disproportionality analyses and female/male ratio analyses. During January 2004 to March 2023, 101,746 fall-related AEs were reported in FAERS from patients aged 50 to 100, with 68,492 (67.3%) females and 32,547 (32.0%) males. We found 261 signals for females while 284 for males. For females, the top 3 signals with the highest reporting odds ratio (ROR) were anethole trithione, clopenthixol, nikethamide (ROR: 388.88, 212.10, 113.94), while the top 3 signals with the highest lower limit of information component (IC

Indexed as

Accidental FallsAdverse Drug Reaction Reporting SystemsDrug-Related Side Effects and Adverse ReactionsUnited States Food and Drug AdministrationAgedAged, 80 and overCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk FactorsSex FactorsUnited StatesBayesian confidence propagation neural networkFall-risk-increasing drugsMiddle-aged and elderlyPharmacovigilanceReporting odds ratioSex differences

Identifiers

PMID39613826
PMCPMC11606941

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.