Evidence map›Paper›PMID 41659116›Full record

ReviewReviews in cardiovascular medicine2026

Optimization of Venoarterial Extracorporeal Membrane Oxygenation Weaning: Hemodynamic Targets, Predictive Indicators, and Future Algorithm.

Yanping Li, Ying Zhu, Zhuolin Wu

Abstract readReview
In one paragraph

Review in Reviews in cardiovascular 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

3 authors.

Yanping LiThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, 310006 Hangzhou, Zhejiang, China.ORCID https://orcid.org/0009-0007-2814-8559
Ying ZhuDepartment of Critical Care, Affiliated Hangzhou First People's Hospital, School of Medicine, Westlake University, 310006 Hangzhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-4360-1653
Zhuolin WuThe Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou First People's Hospital, 310006 Hangzhou, Zhejiang, China.ORCID https://orcid.org/0009-0000-5505-6683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Venoarterial extracorporeal membrane oxygenation (VA-ECMO) is a life-saving intervention for patients with refractory cardiogenic shock or cardiac arrest. However, weaning from VA-ECMO remains challenging and significantly affects patient prognosis. This systematic review examined the multifactorial determinants underlying successful VA-ECMO weaning, highlighting the critical need for integrated evaluation of biventricular function, hemodynamic stability, and microcirculatory perfusion. Key predictive parameters encompass both macrocirculatory indices (including left and right ventricular performance) and metabolic parameters, all of which collectively inform evidence-based weaning decisions. Advanced imaging techniques and multidimensional assessment tools have emerged as promising strategies for optimizing weaning protocols. Pharmacological strategies and precise volume optimization are important for improving weaning success. However, gaps in standardized weaning protocols and bridging therapy algorithms highlight critical, unmet needs. Thus, future efforts should focus on developing dynamic predictive models that incorporate real-time hemodynamic data and on the clinical implementation of microcirculatory assessment technologies.

Indexed as

cardiac functioncardiogenic shockextracorporeal membrane oxygenationhemodynamicspredictiveweaning

Identifiers

PMID41659116
PMCPMC12873660

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.