Evidence map›Paper›PMID 42056338›Full record

ArticleAnnals of biomedical engineering2026

Hemodynamic Evaluation for Mitral Valve Replacement.

Xinyi He, Shuyi Feng, Xingchao Zhang, Fan Wu, Hongping Wang, Shizhao Wang

Abstract read
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Article in Annals of biomedical engineering, 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
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Xinyi He *The State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China.
Shuyi Feng *Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100037, China.
Xingchao ZhangThe State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China.
Fan WuThe State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China.
Hongping WangThe State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China. hpwang@imech.ac.cn.ORCID http://orcid.org/0000-0002-0397-413X
Shizhao WangThe State Key Laboratory of Nonlinear Mechanics, Institute of Mechanics, Chinese Academy of Sciences, Beijing, 100190, China. wangsz@imech.ac.cn.

Funding

Chinese Academy of Sciences No. XDB0620102National Natural Science Foundation of China No. 12588201
6 · The paper itself

Abstract

purposeMitral valve replacement (MVR) alters the physiological hemodynamic environment in the left ventricle, potentially leading to complications. This in vitro study aims to investigate the impact of different mitral valves (native, bioprosthetic, and mechanical valves) on the flow and blood transport in the left ventricle.

methodsA custom-made left heart simulator was used, considering three different mitral valves: native, bioprosthetic, and mechanical valves. Time-resolved tomographic particle image velocimetry (Tomo-PIV) was employed to obtain three-dimensional ventricular flow. The particle residence time and the apical-transit ratio were quantified by tracking virtual tracers within the measured flow fields.

resultsProsthetic valves fundamentally change diastolic vortex structures. The native valve forms a saddle-shaped vortex ring, the bioprosthetic valve produces a nearly circular vortex ring, and the mechanical valve generates a crescent-shaped starting vortex below the leaflets. Quantitatively, the native valve results in the shortest blood residence time and the highest apical-transit ratio, indicating optimal blood transport efficiency compared to both bioprosthetic and mechanical valves.

conclusionEfficient left ventricular pumping requires not only timely ejection but also physiological vortex-driven apical washout. This insight represents a key consideration for future prosthetic valve design.

Indexed as

Apical-transit ratioMitral valveMitral valve replacementVortex

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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.