Evidence map›Paper›PMID 32670635›Full record

ArticleCardiology research and practice2020

Left Ventricular End-Systolic Volume Is a Reliable Predictor of New-Onset Heart Failure with Preserved Left Ventricular Ejection Fraction.

Marina Kato, Shuichi Kitada, Yu Kawada, Kosuke Nakasuka, Shohei Kikuchi, Yoshihiro Seo, Nobuyuki Ohte

Open access · goldAbstract read
In one paragraph

Article in Cardiology research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.3field-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

19 citing papers in PubMed, 32 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Marina KatoDepartment of Cardiology, Nagoya City University, Nagoya, Japan.
Shuichi KitadaDepartment of Cardiology, Nagoya City University, Nagoya, Japan.ORCID https://orcid.org/0000-0002-9824-9001
Yu KawadaDepartment of Cardiology, Nagoya City University, Nagoya, Japan.
Kosuke NakasukaDepartment of Cardiology, Nagoya City University, Nagoya, Japan.ORCID https://orcid.org/0000-0002-8606-3613
Shohei KikuchiDepartment of Cardiology, Nagoya City University, Nagoya, Japan.
Yoshihiro SeoDepartment of Cardiology, Nagoya City University, Nagoya, Japan.
Nobuyuki OhteDepartment of Cardiology, Nagoya City University, Nagoya, Japan.
Nagoya City University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLeft ventricular (LV) ejection fraction (EF) and LV volumes were reported to have prognostic efficacy in cardiac diseases. In particular, the end-systolic volume index (LVESVI) has been featured as the most reliable prognostic indicator. However, such efficacy in patients with LVEF ≥ 50% has not been elucidated.

methodsWe screened the patients who received cardiac catheterization to evaluate coronary artery disease concomitantly with both left ventriculography and LV pressure recording using a catheter-tipped micromanometer and finally enrolled 355 patients with LVEF ≥ 50% and no history of heart failure (HF) after exclusion of the patients with severe coronary artery stenosis requiring early revascularization. Cardiovascular death or hospitalization for HF was defined as adverse events. The prognostic value of LVESVI was investigated using a Cox proportional hazards model.

resultsA univariable analysis demonstrated that age, log BNP level, tau, peak - d

conclusionIn patients with LVEF ≥ 50%, an increased LVESVI is related to the adverse events. LV contractile performance even in the range of preserved LVEF should be considered as a role of a prognostic indicator.

Identifiers

PMID32670635
PMCPMC7341373
OpenAlexW3038396694

What OpenQuestion holds

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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.