Evidence map›Paper›PMID 30713399›Full record

ArticleActa Cardiologica Sinica2019

Direct Comparison of Low-Dose Dabigatran and Rivaroxaban for Effectiveness and Safety in Patients with Non-Valvular Atrial Fibrillation.

Shih-Wei Meng, Ting-Tse Lin, Min-Tsun Liao, Ho-Min Chen, Chao-Lun Lai

Abstract read
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Article in Acta Cardiologica Sinica, 2019. 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
–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

5 citing papers in PubMed, 1 synthesis or guideline 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

5 authors.

Shih-Wei MengDepartment of Internal Medicine.
Ting-Tse LinDepartment of Internal Medicine.
Min-Tsun LiaoDepartment of Internal Medicine.
Ho-Min ChenCenter for Critical Care Medicine, National Taiwan University Hospital Hsin-Chu Branch, Hsin-Chu.
Chao-Lun LaiDepartment of Internal Medicine.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe aimed to examine the comparative effectiveness and safety between low-dose dabigatran and rivaroxaban in atrial fibrillation (AF) patients.

methodsUsing the National Health Insurance claims database in Taiwan, we conducted head-to-head comparisons among adult non-valvular AF patients prescribed with dabigatran 110 mg or rivaroxaban 15 mg between June 1, 2012 and May 31, 2015. A propensity score was derived using logistic regression to model the probability of receiving different non-VKA oral anticoagulants (NOACs) as a function of potential confounders, and an inverse-probability- of-treatment-weighted (IPTW) pseudo-cohort was created. A Cox proportional hazards model was used to compare clinical outcomes in the IPTW pseudo-cohort as the primary analysis. The propensity score-matched analysis was applied as the secondary analysis.

resultsOverall, 13505 dabigatran 110 mg users and 6551 rivaroxaban 15 mgusers were identified. In the primary analysis, the rivaroxaban 15 mg users had a higher risk of all-cause death [hazard ratio (HR) 1.19, 95% confidence interval (CI) 1.02-1.38]. In addition, the rivaroxaban 15 mg users had an increased risk of all-cause death (HR 1.25, 95% CI 1.05-1.50) in the secondary analysis. The risks of ischemic stroke, intracranial hemorrhage and gastrointestinal hemorrhage were similar between the 2 study groups in both the primary and secondary analyses.

conclusionsFor non-valvular AF patients, rivaroxaban 15 mg seemed to be associated with an increased risk of all-cause death compared with dabigatran 110 mg. This was a retrospective data analysis and the results should not be over-interpreted to guide the choice of different NOACs.

Indexed as

AnticoagulantDabigatranDeathEffectivenessRivaroxabanSafety

Identifiers

PMID30713399
PMCPMC6342833

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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.