Evidence map›Paper›PMID 39132304›Full record

ArticleInternational journal of cardiology. Heart & vasculature2024

Correlation between thromboembolic risk and prevalence of coronary artery disease in patients with atrial fibrillation and impaired renal function.

Tsutomu Murakami, Atsuhiko Yagishita, Kengo Ayabe, Susumu Sakama, Kyong Hee Lee, Mari Amino, Koichiro Yoshioka, Yuji Ikari

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Recent highlights from theInternational journal of cardiology. Heart & vasculature · 2025
    Article
  2. Recent highlights from theInternational journal of cardiology. Heart & vasculature · 2024
    Article
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.

Tsutomu MurakamiDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Atsuhiko YagishitaDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Kengo AyabeDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Susumu SakamaDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Kyong Hee LeeDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Mari AminoDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Koichiro YoshiokaDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.
Yuji IkariDepartment of Cardiology, Tokai University School of Medicine, Kanagawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Atrial fibrillation (AF) and coronary artery disease (CAD) often co-occur. The prevalence of coincident AF and CAD, the characteristics of such patients, and the correlation with thromboembolic risk in association with renal function are unclear. Methods and Results: We studied 435 consecutive patients who underwent contrast-enhanced computed tomography (CT) before catheter ablation for AF. Nineteen patients with inconclusive CT underwent coronary angiography for a calcified coronary artery. Overall, 87 of the 435 patients had CAD (20.0 %: paroxysmal AF, 63.9 %; persistent AF, 35.2 %; and longstanding AF, 0.9 %). Of these, 17.9 % were newly diagnosed with CAD. There was a stepwise increase in CAD prevalence according to the CHADS Conclusions: The prevalence of coexisting CAD increases with the CHADS

Indexed as

Atrial fibrillationCHADS2 scoreChronic kidney diseaseCoronary artery disease

Identifiers

PMID39132304
PMCPMC11315156

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Registered trials

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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.