Evidence map›Paper›PMID 30993903›Full record

ArticleESC heart failure2019

Diagnostic accuracy of left atrial remodelling and natriuretic peptide levels for preclinical heart failure.

Jui-Peng Tsai, Kuo-Tzu Sung, Cheng-Huang Su, Yau-Huei Lai, Jen-Yuan Kuo, Chun-Ho Yun, Chih-Hsuan Yen, Charles Jia-Yin Hou, Tung-Hsin Wu, Ming-Cheng Peng and 3 more

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In one paragraph

Article in ESC heart failure, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 12 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

13 authors at 6 institutions in 1 country.

Jui-Peng TsaiDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan.
Kuo-Tzu SungDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Cheng-Huang SuDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Yau-Huei LaiDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Jen-Yuan KuoDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Chun-Ho YunDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Chih-Hsuan YenDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Charles Jia-Yin HouDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Tung-Hsin WuDepartment of Biomedical Imaging and Radiological Sciences, National Yang Ming University, Taipei, Taiwan.
Ming-Cheng PengDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Ta-Chuan HungDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Hung-I YehDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Chung-Lieh HungDepartment of Medicine, Mackay Medical College, New Taipei City, Taiwan.
Mackay Medical University · TWMackay Junior College of Medicine, Nursing and Management · TWMackay Memorial Hospital · TWNational Taiwan University · TWNational Yang Ming Chiao Tung University · TWNational Yang Ming University Hospital · TW

Funding

Mackay Memorial Hospital 10220Mackay Memorial Hospital 10248Mackay Memorial Hospital 10253Mackay Memorial Hospital 10271Mackay Memorial Hospital 10271, 10248, 10220, 10253, 10375, 10358, E-102003Mackay Memorial Hospital 10358Mackay Memorial Hospital 10375Mackay Memorial Hospital E-102003National Science Council 101-2314-B-195-020-MY1National Science Council 103-2314-B-195-001-MY3National Science Council MOST 103-2314-B-195-006-MY3National Science Council MOST 106-2314-B-195-008-MY2National Science Council NSC-101-2314-B-195-020National Science Council NSC-101-2314-B-195-020, NSC 103-2314-B-010-005-MY3, 103-2314-B-195-001-MY3, 101-2314-B-195 -020 -MY1, MOST 103-2314-B-195-006-MY3, MOST 106-2314-B-195-008-MY2National Science Council NSC-103-2314-B-010-005-MY3Taiwan Foundation for geriatric emergency and critical care
6 · The paper itself

Abstract

aimsLeft atrial (LA) remodelling is an important predictor of cardiovascular events of heart failure (HF) and atrial fibrillation. Data regarding diagnostic value of LA remodelling on diastolic dysfunction (DD) and preclinical HF remain largely unexplored. METHODS AND

resultsWe assessed LA dimension (LAD) in 8368 consecutive asymptomatic Asians (mean age: 49.7, 38.9% women) and related such measure to updated American Society of Echocardiography (ASE) DD criteria and newly revised N-terminal pro-brain natriuretic peptide (NT-proBNP) cut-off (≥125 pg/mL) and HF with preserved ejection fraction criteria incorporating NT-proBNP and echocardiography parameters by the European Society of Cardiology (ESC). LAD and indexed LAD (LADi) were both inversely correlated with myocardial relaxation e' and positively associated with indexed LA volume, left ventricular E/e', and tricuspid regurgitation velocity (all P < 0.001) and showed significantly graded increase across ASE-defined 'normal', 'inconclusive', and 'DD' categories (30.9, 34.4, and 36.5 mm; 16.7, 19.1, and 20.6 mm/m

conclusionsSingle utilization of atrial remodelling is highly useful for ruling out presence of DD and provides practical threshold for identifying preclinical HF based on most updated guidelines.

Indexed as

Atrial RemodelingAdultAgedCross-Sectional StudiesFemaleHeart FailureHumansMaleMiddle AgedNatriuretic Peptide, BrainPeptide FragmentsReproducibility of ResultsRetrospective StudiesNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)Atrial fibrillationDiastolic dysfunctionEchocardiographyESCHeart failureLeft atrium

Identifiers

PMID30993903
PMCPMC6676297
OpenAlexW2937648539

What OpenQuestion holds

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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.