Evidence map›Paper›PMID 31028407›Full record

ArticleHeart and vessels2019

Prolonged total atrial conduction time evaluated with tissue Doppler imaging predicts poor cardiac prognosis in patients with heart failure.

Gensai Yamaura, Tetsu Watanabe, Harutoshi Tamura, Hayato Tsuchiya, Naoto Hashimoto, Masahiro Wanezaki, Satoshi Nishiyama, Takanori Arimoto, Hiroki Takahashi, So Yamauchi and 4 more

Abstract read
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Article in Heart and vessels, 2019. 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
0.3field-weighted citation impact, top 38% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  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

14 authors at 1 institution in 1 country.

Gensai YamauraDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Tetsu WatanabeDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan. tewatana@med.id.yamagata-u.ac.jp.
Harutoshi TamuraDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Hayato TsuchiyaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Naoto HashimotoDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Masahiro WanezakiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Satoshi NishiyamaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Takanori ArimotoDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Hiroki TakahashiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
So YamauchiDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Tetsuro ShishidoDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Tamon YamanakaDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Takuya MiyamotoDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Masafumi WatanabeDepartment of Cardiology, Pulmonology, and Nephrology, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, Yamagata, 990-9585, Japan.
Yamagata University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prolonged total atrial conduction time is caused by atrial remodeling. Left atrial remodeling is associated with poor outcome in patients with heart failure (HF). This study aimed to investigate whether prolonged total atrial conduction time predicts poor prognosis in patients with HF. We performed transthoracic echocardiography in 100 patients (65 men; mean age 68 ± 13 years) who were hospitalized for HF. Total atrial conduction time was defined as the duration from P wave onset on electrocardiography to peak A' wave on tissue Doppler imaging (TDI) echocardiography (PA-TDI duration). There were 37 cardiac events (37%) during a median follow-up period of 414 days. The PATDI duration was significantly longer in patients with cardiac events than in those without (150 ± 18 ms vs 133 ± 19 ms; P < 0.05). There were no significant differences in left ventricular end-diastolic dimensions and ejection fractions between patients with and without cardiac events. Patients with HF were divided into 3 groups according to tertiles of the PA-TDI duration. Kaplan-Meier analysis showed that the highest tertile of PA-TDI duration was associated with the greatest risk among patients with HF. Multivariate Cox proportional hazard analysis showed that the PA-TDI duration was an independent predictor of cardiac events, leading to the conclusion that prolonged PA-TDI duration was a feasible predictor of cardiac prognosis in patients with HF.

Indexed as

Atrial RemodelingAgedEchocardiography, DopplerElectrocardiographyFemaleHeart AtriaHeart Conduction SystemHeart FailureHeart RateHumansMalePredictive Value of TestsPrognosisROC CurveAtrial conduction timeHeart failurePrognostic factorTissue Doppler imaging

Identifiers

PMID31028407
OpenAlexW2941285270

What OpenQuestion holds

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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.