Evidence map›Paper›PMID 41225063›Full record

ArticleCardiovascular engineering and technology2026

Multiobjective Comprehensive Evaluation and Optimization of Interventional Blood Pump Impeller.

Xiaoming Cheng, Minggang She, Shengzhang Wang

Abstract read
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In one paragraph

Article in Cardiovascular engineering and technology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Xiaoming ChengInstitute of Biomechanics, Department of Aeronautics and Astronautics, Fudan University, Shanghai, China.
Minggang SheShanghai R&D Center, Suzhou Hengrui Medical Devices Co., Ltd, Shanghai, China.
Shengzhang WangInstitute of Biomechanics, Department of Aeronautics and Astronautics, Fudan University, Shanghai, China. szwang@fudan.edu.cn.ORCID 0000-0003-2364-3896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHeart failure is a widespread cardiac disease affecting numerous patients globally, and traditional treatment options are inadequate to meet demand. Interventional blood pumps, as a treatment modality, are widely needed but face significant challenges in the multiobjective optimization of structural design.

methodsIn this study, we utilized an orthogonal experimental design, CFD simulations and principal component analysis to establish a comprehensive evaluation model for interventional blood pumps. Through regression analysis, we determined the relationships between comprehensive indicators and impeller design variables, enabling optimization of the impeller design. The accuracy of the optimization results was validated through in vitro experiments.

resultsNumerical simulations confirmed the effectiveness of the comprehensive evaluation and optimization methods and resulted in the identification of the optimal impeller design. The design emphasized a larger proximal fillet radius and a smaller blood outlet axial length. By comparing simulations with experimental data, we demonstrated that simulations accurately obtained hydraulic performance (flow rate, pressure difference) and efficiency, with an error margin below 5%.

conclusionThe multiobjective comprehensive evaluation and optimization methods proposed in this study can effectively enhance the overall performance of interventional blood pumps.

Indexed as

Heart-Assist DevicesHeart FailureModels, CardiovascularComputer-Aided DesignComputer SimulationHumansPrincipal Component AnalysisProsthesis DesignHeart failureImpeller designInterventional blood pumpMultiobjective comprehensive evaluationPerformance optimization

Identifiers

PMID41225063

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.