Evidence map›Paper›PMID 40893553›Full record

ArticleQuantitative imaging in medicine and surgery2025

The effect of left atrial reservoir strain on right ventricular dysfunction in left-sided heart failure.

Guangyuan Li, Yonghuai Wang, Chunyan Ma

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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
–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

2 citing papers in PubMed.

  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

3 authors.

Guangyuan LiDepartment of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0003-2724-4198
Yonghuai WangDepartment of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China.
Chunyan MaDepartment of Cardiovascular Ultrasound, The First Hospital of China Medical University, Shenyang, China.ORCID https://orcid.org/0000-0002-3327-736X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the potential of left atrial (LA) reservoir strain to be an independent determinant of right ventricular (RV) dysfunction (RVD) in the context of left-sided heart failure (HF). We recruited 301 patients with HF (age 61.1±10.7 years; 71.1% male) from The First Hospital of China Medical University between 2021 and 2023, comprising a representative sample of both reduced (47.8%) and preserved ejection fraction (EF) (52.2%) phenotypes. Each participant underwent comprehensive transthoracic echocardiography. Conventional echocardiography measured left ventricular (LV) EF and pulmonary artery systolic pressure (PASP), and two-dimensional speckle tracking echocardiography was applied to quantify LV global longitudinal strain (LVGLS), LA reservoir strain, and RV free wall strain. The cohort demonstrated a 48.5% prevalence of RVD (defined as RV free wall strain < |20%|). RVD was associated with higher body surface area [odds ratio (OR) 12.01] and PASP (OR 1.02), lower LVEF (OR 0.92), LVGLS (OR 1.35), and LA reservoir strain (OR 0.82) (all P values <0.05). Critically, LA reservoir strain (OR 0.83; P<0.001) remained independently associated with RVD even after adjustments were made for age, sex, body surface area, atrial fibrillation, diabetes, hypertension, coronary artery disease, LVEF, LVGLS, and PASP. Thus, in left-sided HF, LA reservoir strain independently predicts RVD irrespective of LVEF or PASP, highlighting the critical role of LA function in RVD.

Indexed as

Heart failure (HF)left atrial reservoir strain (LA reservoir strain)right ventricular dysfunction (RVD)

Identifiers

PMID40893553
PMCPMC12397700

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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.