Evidence map›Paper›PMID 41808869›Full record

ArticleFrontiers in pharmacology2026

Drug-associated insomnia and sex-specific disproportionality in the FDA adverse event reporting system (2019-Q1 2025).

Hao Wen, Yuchuan Shen, Hai Li, Xiangbin Chen, Yanzhao Lin, Wei Bin

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Hao Wen *Guangzhou University of Chinese Medicine, Guangzhou, China.
Yuchuan Shen *Guangzhou University of Chinese Medicine, Guangzhou, China.
Hai LiGuangzhou University of Chinese Medicine, Guangzhou, China.
Xiangbin ChenGuangzhou University of Chinese Medicine, Guangzhou, China.
Yanzhao LinGuangzhou University of Chinese Medicine, Guangzhou, China.
Wei BinGuangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Insomnia is a frequent and clinically relevant adverse drug reaction that can impair quality of life, treatment adherence and long-term outcomes. Evidence on drug-associated insomnia has largely been derived from selected clinical trial populations or focused on individual drug classes, while comprehensive post-marketing assessments-particularly those considering potential sex-related heterogeneity-remain limited. Using the U.S. Food and Drug Administration (FDA) Adverse Event Reporting System (FAERS), we conducted a large-scale pharmacovigilance analysis to identify and characterise drug-insomnia signals of disproportionate reporting (SDRs) and to explore potential sex-related heterogeneity in reporting patterns. Individual case safety reports from January 2019 to March 2025 were analysed using a transparent, multi-step preprocessing pipeline, including removal of deleted cases, consolidation by case identifier and case version, and additional rule-based deduplication across case identifiers. Insomnia cases were identified using a narrow set of MedDRA Preferred Terms (PTs)-insomnia, initial insomnia, middle insomnia, terminal insomnia, and early morning awakening-and analyses were restricted to parent systemic drugs. Disproportionality was assessed using reporting odds ratios (RORs) in primary-suspect and any-suspect analyses. Sex-stratified RORs were estimated for female and male reports, and formal heterogeneity was evaluated using interaction-based metrics with false discovery rate control. The final analytic cohort comprised 2,935,560 unique reports, of which 74,444 contained insomnia reactions after exclusion of sleep-related indications. A broad spectrum of psychotropic and non-psychotropic agents showed SDRs for insomnia, spanning hypnotics, antineoplastic therapies, immunomodulators, endocrine agents and commonly used anti-infectives. Sex-stratified analyses revealed largely overlapping signal profiles between females and males, and formal heterogeneity testing identified few drug-insomnia pairs with robust evidence of sex-related heterogeneity after multiple-testing correction. These findings represent signals of disproportionate reporting rather than estimates of incidence or causal risk. Observed sex-related heterogeneity should therefore be interpreted as hypothesis-generating and may reflect heterogeneity in exposure prevalence, prescribing indications and reporting context rather than intrinsic biological susceptibility. Overall, this study provides a contemporary overview of drug-associated insomnia reporting in FAERS and highlights drug-sex combinations that may warrant further investigation in analytically adjusted pharmacoepidemiologic studies.

Indexed as

adverse drug reactionsdisproportionality analysisFAERSinsomniaPharmacoepidemiologypharmacovigilancesex differences

Identifiers

PMID41808869
PMCPMC12968212

What Socratic holds

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LicenceCC BY
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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.