Evidence map›Paper›PMID 36294784›Full record

ArticleJournal of personalized medicine2022

Hypnotics Use Is Associated with Elevated Incident Atrial Fibrillation: A Propensity-Score Matched Analysis of Cohort Study.

Xiang Hu, Gwo-Ping Jong, Liang Wang, Mei-Chen Lin, Shao-Qing Gong, Xue-Hong Zhang, Jiun-Jie Lin, Esther Adeniran, Yan-Long Liu, Hung-Yi Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

4 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors at 8 institutions in 3 countries.

Xiang HuDepartment of Endocrine and Metabolic Diseases, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Gwo-Ping JongDivision of Cardiology, Department of Medicine, Chung Shan Medical University Hospital, Chung Shan Medical University, Taichung 402, Taiwan.ORCID 0000-0002-7786-5497
Liang WangDepartment of Public Health, Robbins College of Health and Human Sciences, Baylor University, Waco, TX 76798, USA.
Mei-Chen LinManagement Office for Health Data, China Medical University Hospital, Taichung 404, Taiwan.
Shao-Qing GongSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Xue-Hong ZhangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
Jiun-Jie LinDepartment of Pharmacy, Feng-Yuan Hospital, Ministry of Health Welfare, Taichung 420, Taiwan.
Esther AdeniranDepartment of Biostatistics and Epidemiology, College of Public Health, East Tennessee State University, Johnson City, TN 37614, USA.
Yan-Long LiuSchool of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.
Hung-Yi ChenDepartment of Pharmacy, China Medical University, Taichung 404, Taiwan.
Bo YangSchool of Public Health and Management, Wenzhou Medical University, Wenzhou 325035, China.ORCID 0000-0003-4475-2426
China Medical University · TWWenzhou Medical University · CNBaylor University · USChung Shan Medical University Hospital · TWEast Tennessee State University · USHarvard University · USTaichung Hospital · TWXi'an Jiaotong University · CN

Funding

China Medical University Hospital, Academia Sinica Stroke Biosignature Project BM10701010021MOST Clinical Trial Consortium for Stroke MOST 108-2321-B-039-004National Natural Science Foundation of China 81900737the 2017 Chinese Nutrition Society (CNS) Nutrition Research Foundation-DSM Research Fund 2017-008the Basic Scientific Research Program of Wenzhou Medical University, China KYYW202015the Ministry of Health and Welfare, Taiwan MOHW108-TDU-B-212-133004The PhD Programs Foundation of Wenzhou Medical University, China 89217015Tseng-Lien Lin Foundation, Taiwan, and Katsuzo and Kiyo Aoshima Memorial Funds, Japan the CMU107-Z-03 & CMU 109-S-55 from China Medical University
6 · The paper itself

Abstract

We aimed to investigate the association between either or both of benzodiazepines (BZDs) and non-BZDs and the incidence of atrial fibrillation (AF) in the Taiwan National Health Insurance Database. The participants with at least two prescriptions of BZDs and/or non-BZDs were identified as hypnotics users, whereas those without any prescription of hypnotics were non-hypnotics users. The hypnotics and non-hypnotics cohorts were 1:1 matched on their propensity scores. A total of 109,704 AF-free individuals were included; 610 AF cases occurred in the 54,852 hypnotics users and 166 in the 54,852 non-hypnotics users during the 602,470 person-years of follow-up, with a higher risk of new-onset AF in the users than the non-users (hazard ratio (HR): 3.61, 95% confidence interval [CI]: 3.04−4.28). The users at the highest tertiles of the estimated defined daily doses per one year (DDD) had a greater risk for AF than the non-users, with the risk increasing by 7.13-fold (95% CI: 5.86−8.67) for >0.74-DDD BZDs, 10.68-fold (95% CI: 6.13−18.62) for >4.72-DDD non-BZDs, and 3.26-fold (95% CI: 2.38−4.47) for > 1.65-DDD combinations of BZDs with non-BZDs, respectively. In conclusion, hypnotics use was associated with elevated incidence of AF in the Taiwanese population, which highlighted that the high-dose usage of hypnotics needs more caution in clinical cardiological practice.

Indexed as

atrial fibrillationbenzodiazepinescohort studyhypnotics

Identifiers

PMID36294784
PMCPMC9605069
OpenAlexW4303832694

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.