Evidence map›Paper›PMID 36340259›Full record

ArticleJACC. Asia2022

Different Renal Function Equations and Dosing of Direct Oral Anticoagulants in Atrial Fibrillation.

Yi-Hsin Chan, Tze-Fan Chao, Hsin-Fu Lee, Yung-Hsin Yeh, Shang-Hung Chang, Chi-Tai Kuo, Gregory Y H Lip, Shih-Ann Chen

Open access · goldAbstract read
In one paragraph

Article in JACC. Asia, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
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  4. Cardiovascular-kidney-metabolic interplay in patients with atrial fibrillation receiving direct oral anticoagulants.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2026
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  10. Observational
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  13. DOAC plasma concentration upon hospital admission in a cohort of trauma patients. An observational real-life study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Observational
  14. Article
  15. Review
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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

8 authors at 5 institutions in 3 countries.

Yi-Hsin ChanCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Tze-Fan ChaoDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Hsin-Fu LeeCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Yung-Hsin YehCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Shang-Hung ChangCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Chi-Tai KuoCardiovascular Department, Chang Gung Memorial Hospital, Linkou, Taoyuan, Taiwan.
Gregory Y H LipLiverpool Centre for Cardiovascular Science, University of Liverpool, Liverpool, United Kingdom.
Shih-Ann ChenDivision of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
Chang Gung University · TWChang Gung Memorial Hospital · TWAalborg University · DKNational Yang Ming Chiao Tung University · TWTaipei Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Randomized trials of direct oral anticoagulants (DOACs) adopted the Cockcroft-Gault (CG) formula to calculate estimated glomerular filtration rate (eGFR) to determine the dosages of DOACs. Objectives: The authors aimed to investigate the agreements/disagreements of eGFRs calculated using different equations (CG, Modified Diet in Renal Disease [MDRD], and Chronic Kidney Disease Epidemiology Collaboration [CKD-EPI] formulas), and their impacts on the dosages of DOACs and clinical outcomes. Methods: Medical data from a multicenter health care provider in Taiwan including 39,239 patients with atrial fibrillation were used. Among these patients, there were 11,185 and 2,323 patients treated with DOACs and warfarin, respectively. Results: At the cutoff values of eGFR of <15, 15-50, and >50 mL/min, the agreements were 78% between MDRD and CG and 81% between CKD-EPI and CG. The disagreements among the different equations were largely due to overestimations, especially for patients aged >75 years and with a body weight of <50 kg (58.8% for MDRD and 50.9% for CKD-EPI). Among patients receiving DOACs whose dosages were defined as "on label" based on MDRD or CKD-EPI, only those whose dosages were "truly on label" based on CG were associated with a lower risk of major bleeding (adjusted HR: 0.34; 95% CI: 0.26-0.45) compared to warfarin. Conclusions: The adoptions of MDRD or CKD-EPI rather than CG would result in inappropriate dosing of DOACs (mainly overdosing), which would attenuate the advantages of DOACs compared to warfarin. The CG equation should be used as the gold standard to calculate eGFRs and guide the DOAC dosages.

Indexed as

AF, atrial fibrillationaHR, adjusted HRatrial fibrillationBW, body weightCG formula, Cockcroft-Gault formulaCGMH, Chang Gung Memorial HospitalCKD-EPICKD-EPI, Chronic Kidney Disease Epidemiology CollaborationCockcroft-Gault (CG) formulaDOAC, direct oral anticoagulanteGFR, estimated glomerular filtration rateeGFRsICD-10-CM, International Classification of Diseases-10th Revision-Clinical ModificationICD-9-CM, International Classification of Diseases-9th Revision-Clinical ModificationIS/SE, ischemic stroke/systemic embolismMDRDMDRD, Modified Diet in Renal DiseasesCr, serum creatinine

Identifiers

PMID36340259
PMCPMC9627870
OpenAlexW4210264616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.