Evidence mapPaperPMID 42534243Full record

ReviewReviews in cardiovascular medicine2026

New Insights into Cardiac Intensive Care.

Cheng Chen, Yanming Wu, Biao Wang

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.

Cheng ChenDepartment of Cardiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, 215000 Suzhou, Jiangsu, China.
Yanming WuDepartment of Cardiology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, 215000 Suzhou, Jiangsu, China.
Biao WangDepartment of Cardiology, Coronary Care Unit, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou Ninth People's Hospital, 215000 Suzhou, Jiangsu, China.ORCID https://orcid.org/0000-0003-4893-5262

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there have been significant advances in both theoretical knowledge and technological applications in cardiac intensive care, a crucial area of cardiovascular medicine. This study methodically outlines the most recent developments in the field's research, including new understandings of pathophysiological mechanisms, advancements in monitoring technology, improvements to prognostic evaluation systems, and optimization of therapeutic approaches. The article emphasizes cutting-edge advancements like artificial intelligence-assisted decision-making systems, microcirculation monitoring tools, and precision medicine approaches, which are customized to individual patient needs by combining evidence from basic research and clinical practice. Precision medicine in the cardiac intensive care unit (CICU) is described in this review as a reactive, patient-centered approach that uses real-time clinical, molecular, imaging, and hemodynamic data to customize acute therapeutic and monitoring interventions for critically ill cardiac patients with complicated, frequently multi-organ pathophysiology. Despite tremendous advancements, there are still difficulties in ensuring individualized care and converting these developments into standardized clinical procedures. In order to promote the development of standardized therapy and customized medical practice in this developing field, this thorough overview attempts to provide researchers and doctors with up-to-date information on cardiac intensive care.

Indexed as

artificial intelligencecardiac intensive carehemodynamic monitoringmechanical circulatory supportprecision therapyprognostic evaluation

Identifiers

PMID42534243
PMCPMC13419952

What Socratic holds

Textmetadata
LicenceCC BY
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.