Evidence map›Paper›PMID 34632044›Full record

ArticleInternational journal of cardiology. Heart & vasculature2021

Identifying risk patterns in older adults with atrial fibrillation by hierarchical cluster analysis: A retrospective approach based on the risk probability for clinical events.

Shinya Suzuki, Takeshi Yamashita, Takayuki Otsuka, Takuto Arita, Naoharu Yagi, Mikio Kishi, Hiroaki Semba, Hiroto Kano, Shunsuke Matsuno, Yuko Kato and 6 more

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Heart & vasculature, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. [Cluster Analysis and Ablation Success Rate in Atrial Fibrillation Patients Undergoing Catheter Ablation].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2024
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  11. Network Pharmacology and Pharmacological Mechanism of CV-3 in Atrial Fibrillation.Evidence-based complementary and alternative medicine : eCAM · 2022
    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

16 authors at 1 institution in 1 country.

Shinya SuzukiDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Takeshi YamashitaDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Takayuki OtsukaDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Takuto AritaDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Naoharu YagiDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Mikio KishiDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Hiroaki SembaDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Hiroto KanoDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Shunsuke MatsunoDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Yuko KatoDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Tokuhisa UejimaDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Yuji OikawaDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Minoru MatsuhamaDepartment of Cardiovascular Surgery, The Cardiovascular Institute, Tokyo, Japan.
Mitsuru IidaDepartment of Cardiovascular Surgery, The Cardiovascular Institute, Tokyo, Japan.
Tatsuya InoueDepartment of Cardiovascular Surgery, The Cardiovascular Institute, Tokyo, Japan.
Junji YajimaDepartment of Cardiovascular Medicine, The Cardiovascular Institute, Tokyo, Japan.
Cardiovascular Institute Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOlder adults with atrial fibrillation (AF) have highly diverse risk levels for mortality, heart failure (HF), thromboembolism (TE), and major bleeding (MB), thus an integrated risk-pattern algorithm is warranted.

methodsWe analyzed 573 AF patients aged ≥ 75 years from our single-center cohort (Shinken Database 2010-2018). The 3-year risk scores (risk probability) for mortality (M-score), HF (HF-score), TE (TE-score), and MB (MB-score) were estimated for each patient by logistic regression analysis. Using the four risk scores, cluster analysis was performed with Ward's linkage hierarchical algorithm.

resultsThree clusters were identified: Clusters 1 (n = 429, 74%), 2 (n = 24, 5%), and 3 (n = 120, 21%). The clusters were characterized as standard risk (Cluster 1), high TE- and MB-risk (Cluster 2), and high M- and HF-risk (Cluster 3). Oral anticoagulants were prescribed for over 80% of the patients in each cluster. Catheter ablation for AF was performed only in Cluster 1 (8.9%). Compared with Cluster 1, Cluster 2 was more closely associated with males, asymptomatic AF, history of cerebral infarction or transient ischemic attack, history of intracranial hemorrhage, high HAS-BLED score (≥3), and low body mass index (<18.0 kg/m

conclusionThe cluster analysis identified those at a high risk for all-cause death and HF or a high risk for TE and MB and could support decision making in older adults with AF.

Indexed as

AnticoagulationAtrial fibrillationCluster analysisOlder adultsRate controlRhythm control

Identifiers

PMID34632044
PMCPMC8487977
OpenAlexW3203099168

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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.