Evidence map›Paper›PMID 36386303›Full record

ArticleFrontiers in cardiovascular medicine2022

Population pharmacokinetic analysis for dabigatran etexilate in Chinese patients with non-valvular atrial fibrillation.

Ya-Ou Liu, Qiu-Fen Xie, Zhi-Yan Liu, Zhe Wang, Guang-Yan Mu, Ya-Tong Zhang, Zi-Nan Zhao, Dong-Dong Yuan, Li-Ping Guo, Na Wang and 5 more

Abstract read
In one paragraph

Article in Frontiers in cardiovascular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

15 authors.

Ya-Ou LiuDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Qiu-Fen XieDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Zhi-Yan LiuDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Zhe WangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Guang-Yan MuDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Ya-Tong ZhangDepartment of Pharmacy, Beijing Hospital, Beijing, China.
Zi-Nan ZhaoDepartment of Pharmacy, Beijing Hospital, Beijing, China.
Dong-Dong YuanDepartment of Pharmacy, Zhengzhou Seventh People's Hospital, Zhengzhou, China.
Li-Ping 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.
Hong-Tao SongDepartment of Pharmacy, 900 Hospital of the Joint Logistics Team, Fuzhou, China.
Jie JiangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Qian XiangDepartment of Pharmacy, Peking University First Hospital, Beijing, China.
Yi-Min CuiDepartment of Pharmacy, Peking University First Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to develop a pharmacokinetic (PK) and pharmacodynamic (PD) model from healthy Chinese subjects and real-world non-valvular atrial fibrillation (NVAF) patients. We also investigated meaningful intrinsic and extrinsic factors and related biomarkers for bleeding events. We characterized the integrated PK/PD models based on rich PK/PD data [dabigatran concentration, activated partial thromboplastin time (APTT), prothrombin time (PT), and anti-factor IIa (anti-FIIa) activity] from 118 healthy volunteers and sparse PD data [APTT, PT, and anti-FIIa] from 167 patients with NVAF after verifying the model extrapolation performance. We also documented the correlations between PD biomarkers and clinically relevant bleeding events over one year. Next, we used the final integrated PK/PD model (a two-compartment, linear model with first-order absorption) to evaluate the influence of dosage and individual covariates on PD parameters. The age, high-density liptein cholesterol (HDL-C), and creatinine clearance (CrCL) improved the PK model fit. The linear direct-effects PD model described the correlation between APTT, PT, and anti-FIIa and plasma concentration. CrCL improved the PD model fit. Anti-FIIa was more sensitive to the increase in dabigatran exposure than APTT and PT in the PD model. Therefore, fixed dabigatran doses could be prescribed for patients with NVAF without adjusting for age and HDL-C. We observed an elevated bleeding tendency with higher peak and trough values of APTT, PT, and anti-FIIa. Randomized studies should be performed to evaluate the efficacy and safety of low-dose dabigatran in Chinese patients with NVAF.

Indexed as

bleedingdabigatrannon-valvular atrial fibrillationpharmacodynamicspopulation pharmacokinetics

Identifiers

PMID36386303
PMCPMC9650305

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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.