Evidence map›Paper›PMID 36453946›Full record

ArticleClinical and translational medicine2022

Genetic variations in relation to bleeding and pharmacodynamics of dabigatran in Chinese patients with nonvalvular atrial fibrillation: A nationwide multicentre prospective cohort study.

Qian Xiang, Qiufen Xie, Zhiyan Liu, Guangyan Mu, Hanxu Zhang, Shuang Zhou, Zhe Wang, Zining Wang, Yatong Zhang, Zinan Zhao and 8 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Clinical and translational medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
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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

18 authors at 6 institutions in 1 country.

Qian XiangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Qiufen XieDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Zhiyan LiuDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Guangyan MuDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Hanxu ZhangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Shuang ZhouDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Zhe WangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Zining WangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Yatong ZhangDepartment of Pharmacy, Beijing Hospital, Beijing, China.
Zinan ZhaoDepartment of Pharmacy, Beijing Hospital, Beijing, China.
Dongdong YuanDepartment of Pharmacy, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Liping GuoDepartment of Pharmacy, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Na WangDepartment of Pharmacy, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jing XiangDepartment of Pharmacy, The Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hongtao SongDepartment of Pharmacy, 900 Hospital of the Joint Logistics Team, Fuzhou, China.
Jianjun SunDepartment of Pharmacy, The Affiliated Hospital of Inner Mongolia Medical University, Huhehaote, China.
Jie JiangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Yimin CuiDepartment of Pharmacy, Peking University First Hospital, Beijing, China.ORCID 0000-0002-4186-1005
Peking University · CNBeijing Hospital · CNDalian Medical University · CNZhengzhou People's Hospital · CNFuzhou Second Hospital · CNInner Mongolia Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionTo identify the potential factors responsible for the individual variability of dabigatran, we investigated the genetic variations associated with clinical outcomes and pharmacodynamics (PD) in Chinese patients with nonvalvular atrial fibrillation (NVAF). MATERIALS AND

methodsChinese patients with NVAF taking dabigatran etexilate with therapeutic doses were enrolled. The primary (bleeding events) and secondary (thromboembolic and major adverse cardiac events) outcomes for a 2-year follow-up were evaluated. Peak and trough PD parameters (anti-FIIa activity, activated partial thromboplastin time and prothrombin time) were detected. Whole-exome sequencing, genome-wide sequencing and candidate gene association analyses were performed.

resultsThere were 170 patients with NVAF treated with dabigatran (110 mg twice daily) who were finally included. Two single-nucleotide polymorphisms (SNPs) were significantly related with bleeding, which include UBASH3B rs2276408 (odds ratio [OR] = 8.79, 95% confidence interval [CI]: 2.99-25.83, p = 7.77 × 10

conclusionsGenetic variations indeed affected bleeding and PD in Chinese patients with NVAF treated with dabigatran. The functions of these suggestive genes and SNPs might further be explored and verified in more in vivo and in vitro investigations.

Indexed as

Atrial FibrillationDabigatranChinaHemorrhageHumansPolymorphism, Single NucleotideProspective StudiesDabigatranatrial fibrillationbleedingdabigatrangenome-wide association analysispharmacodynamicswhole-exome sequencing

Identifiers

PMID36453946
PMCPMC9714378
OpenAlexW4310524693

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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.