Evidence map›Paper›PMID 42145775›Full record

ReviewFrontiers in medicine2026

Beyond the right ventricle: assessment of the left ventricular function in pulmonary hypertension.

Yilin Xie, Tianyu Wang, Yingjie Tan, Jiang Li

Abstract readReview
In one paragraph

Review in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Yilin XieDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha City, China.
Tianyu WangDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha City, China.
Yingjie TanDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha City, China.
Jiang LiDepartment of Cardiovascular Medicine, The Second Xiangya Hospital of Central South University, Changsha City, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary hypertension (PH) is a pathological condition characterized by elevated pressure in the pulmonary artery, often accompanied by right ventricular (RV) dysfunction. Nevertheless, the significance of left ventricular (LV) function in PH is being increasingly acknowledged, especially in the context of ventricular interdependence and the interactions between the ventricles. This review comprehensively examines the anatomical, physiological, and pathophysiological foundations of LV function assessment in patients with PH while summarizing advancements in evaluating LV function within this context. Specifically, the evaluation of LV diastolic function, systolic function, alterations in interventricular septal morphology, and the presence of ventricular dyssynchrony play crucial roles in the comprehensive understanding of left ventricular dynamics and differentiating pre-capillary PH from post-capillary PH. Despite the availability of various assessment parameters, limitations, including the lack of standardized criteria and insufficient specificity, continue to prevail. Future research should concentrate on developing specific indicators, establishing unified assessment standards, and integrating multimodal imaging techniques to evaluate LV function comprehensively, aiming to enhance prognosis and optimize treatment strategies for PH patients.

Indexed as

cardiac magnetic resonanceechocardiographyinterventricular septumleft ventriclemultimodality imagingpulmonary hypertensionventricular interdependence

Identifiers

PMID42145775
PMCPMC13171769

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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.