Evidence map›Paper›PMID 38803662›Full record

ArticleFrontiers in cardiovascular medicine2024

A real-world pharmacovigilance study of drug-induced QT interval prolongation: analysis of spontaneous reports submitted to FAERS.

Haowen Tan, Xida Yan, Ying Chen, Guili Huang, Luping Luo, Wenjun Li, Weiwei Lan, Cheng Chen, Xin Xi

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  3. Women's cardiovascular health in 2025:Saudi medical journal · 2026
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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

9 authors.

Haowen TanDepartment of Pharmacy, Wuzhou Red Cross Hospital, Wuzhou, Guangxi, China.
Xida YanDepartment of Pharmacy, Mianyang Central Hospital, Mianyang, Sichuan, China.
Ying ChenOffice of Good Clinical Practice, Wuzhou Red Cross Hospital, Wuzhou, Guangxi, China.
Guili HuangDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Luping LuoDepartment of Pharmacy, Wuzhou Red Cross Hospital, Wuzhou, Guangxi, China.
Wenjun LiDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Weiwei LanDepartment of Pharmacy, Wuzhou Red Cross Hospital, Wuzhou, Guangxi, China.
Cheng ChenDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xin XiDepartment of Pharmacy, The Third Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To identify the most commonly reported drugs associated with QT interval prolongation in the FDA Adverse Event Reporting System (FAERS) and evaluate their risk for QT interval prolongation. Methods: We employed the preferred term (PT) "electrocardiogram QT prolonged" from the Medical Dictionary for Regulatory Activities (MedDRA) 26.0 to identify adverse drug events (ADEs) of QT interval prolongation in the FAERS database from the period 2004-2022. Reporting odds ratio (ROR) was performed to quantify the signals of ADEs. Results: We listed the top 40 drugs that caused QT interval prolongation. Among them, the 3 drugs with the highest number of cases were quetiapine (1,151 cases, ROR = 7.62), olanzapine (754 cases, ROR = 7.92), and citalopram (720 cases, ROR = 13.63). The two most frequently reported first-level Anatomical Therapeutic Chemical (ATC) groups were the drugs for the nervous system ( Conclusions: Our study offered a list of drugs that frequently caused QT interval prolongation based on the FAERS system, along with a description of some risk profiles for QT interval prolongation brought on by these drugs. When prescribing these drugs in clinical practice, we should closely monitor the occurrence of ADE for QT interval prolongation.

Indexed as

data miningFAERSpharmacovigilanceQT interval prolongationreporting odds ratio

Identifiers

PMID38803662
PMCPMC11128590

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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.