Evidence map›Paper›PMID 29405644›Full record

ArticleESC heart failure2018

Variations in subclinical left ventricular dysfunction, functional capacity, and clinical outcomes in different heart failure aetiologies.

Ying Wang, Hong Yang, Mark Nolan, Faraz Pathan, Kazuaki Negishi, Thomas H Marwick

Abstract read
In one paragraph

Article in ESC heart failure, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
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  6. Review
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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

6 authors.

Ying WangMenzies Institute for Medical Research, Hobart, Australia.
Hong YangMenzies Institute for Medical Research, Hobart, Australia.
Mark NolanMenzies Institute for Medical Research, Hobart, Australia.
Faraz PathanMenzies Institute for Medical Research, Hobart, Australia.
Kazuaki NegishiMenzies Institute for Medical Research, Hobart, Australia.
Thomas H MarwickMenzies Institute for Medical Research, Hobart, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsPatients with heart failure (HF) risk factors are described as being in Stage A of this condition (SAHF). Management is directed towards prevention of HF progression, but to date, no evidence has been described to align the intensity of this intervention to HF risk. We sought to what extent SAHF of Type 2 diabetes mellitus (T2DM) and other HF risks showed differences in subclinical left ventricular function, exercise capacity, and prognosis. METHODS AND

resultsWe recruited 551 elder asymptomatic SAHF patients (age 71 ± 5 years, 49% men, 290 T2DM) with at least one risk factor from a community-based population with preserved ejection fraction. All underwent a comprehensive echocardiogram including global longitudinal strain (GLS) and a 6 min walk test and were followed for 2 years. The primary endpoints were new-onset HF and all-cause mortality. The T2DM group was associated with reduced 6 min walk test distance (451 ± 111 vs. 493 ± 87 m, P < 0.001), worse diastolic function (E/e' 9.2 ± 2.7 vs. 8.7 ± 2.4, P = 0.028), and impaired GLS (-17.7 ± 2.6% vs. -19.0 ± 2.6%, P < 0.001). Over a median follow-up of 1.6 years, 49 T2DM-SAHF and 27 other-SAHF met the primary endpoint. T2DM-SAHF had significantly worse outcome than other-SAHF (P = 0.021). In Cox models, obesity [hazard ratio (HR) = 2.46; P = 0.007], atrial fibrillation (HR = 2.39; P = 0.028), 6 min walk distance (HR = 0.99; P = 0.034), and GLS (HR = 1.14; P = 0.033) were independently associated with the primary endpoint in T2DM-SAHF, independent of age and glycaemic control.

conclusionsThe T2DM-SAHF has worse subclinical left ventricular function, exercise capacity, and prognosis than other-SAHF. Impaired GLS, atrial fibrillation, exercise capacity, and obesity are associated with a worse prognosis in T2DM-SAHF but not in other-SAHF.

Indexed as

AgedDiabetes Mellitus, Type 2Disease ProgressionEchocardiography, DopplerExercise ToleranceFemaleFollow-Up StudiesHeart Failure, DiastolicHeart Failure, SystolicHumansMalePrognosisProspective StudiesRisk FactorsStroke VolumeTime Factors6 min walkDiabetes mellitusGlobal longitudinal strainHeart failure

Identifiers

PMID29405644
PMCPMC5933957

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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.