Clinical translation and engineering challenges of soft robotic cardiac sleeves for heart failure.

Javad Foroughi, Hojjatollah Nazari, Nigel Lovell, Christopher Hayward, Chun H Wang, Arjang Ruhparwar

Abstract readReview

In one paragraph

Review in Nature communications, 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

6 authors.

Javad ForoughiSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia. J.Foroughi@unsw.edu.au.ORCID http://orcid.org/0000-0003-1979-5213

Hojjatollah NazariSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia.

Nigel LovellSchool of Biomedical Engineering, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0003-1637-1079

Christopher HaywardSchool of Clinical Medicine, University of New South Wales, St Vincent's Private Hospital Sydney, Sydney, Australia.

Chun H WangSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, Australia.ORCID http://orcid.org/0000-0001-6081-1487

Arjang RuhparwarDepartment of Cardiothoracic, Transplantation, and Vascular Surgery, Hannover Medical School, Hannover, Germany.

Funding

NSW Ministry of Health (NSW Health) Cardiovascular Collaborative GrantNSW Ministry of Health (NSW Health) Cardiovascular Senior and Early-Mid Career Researcher Grant

6 · The paper itself

Abstract

Soft robotic cardiac sleeves are an emerging class of non-blood-contact mechanical circulatory support devices designed to augment myocardial function while avoiding direct interaction with blood. Their development addresses important limitations of conventional heart failure therapies and offers a promising strategy for physiological cardiac assistance. This Review examines the pathophysiological basis for sleeve-assisted cardiac support, recent advances in soft robotic technologies, and the key engineering and translational challenges that must be overcome for clinical implementation. Finally, we propose a translational framework to guide the future development of clinically viable soft robotic cardiac sleeves.

Indexed as

Heart-Assist DevicesHeart FailureRoboticsAnimalsHumansTranslational Research, Biomedical

Identifiers

PMID42586972

DOI10.1038/s41467-026-76596-z

PMCPMC13469660

What Socratic holds

Textmetadata

Read underepoch 390

Registered trials

None linked

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 Socratic graph.