Evidence mapPaperPMID 40870369Full record

ArticleMedicina (Kaunas, Lithuania)2025

Predicting Major Adverse Cardiovascular Events After Cardiac Surgery Using Combined Clinical, Laboratory, and Echocardiographic Parameters: A Machine Learning Approach.

Mladjan Golubovic, Velimir Peric, Marija Stosic, Vladimir Stojiljkovic, Sasa Zivic, Aleksandar Kamenov, Dragan Milic, Vesna Dinic, Dalibor Stojanovic, Milan Lazarevic

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

10 authors.

Mladjan GolubovicClinic of Cardiovascular Surgery, University Clinical Center Nis, 18000 Nis, Serbia.ORCID 0000-0001-5982-0159
Velimir PericClinic of Cardiovascular Surgery, University Clinical Center Nis, 18000 Nis, Serbia.ORCID 0000-0001-8690-4921
Marija StosicClinic of Cardiovascular Surgery, University Clinical Center Nis, 18000 Nis, Serbia.ORCID 0000-0001-9921-8488
Vladimir StojiljkovicInstitute for Treatment and Rehabilitation Niska Banja, 18205 Niska Banja, Serbia.ORCID 0009-0001-2912-4459
Sasa ZivicClinic for Cardiac Surgery, University Clinical Center Nis, 18000 Nis, Serbia.ORCID 0000-0003-4551-4569
Aleksandar KamenovMedical School of Nis, University of Nis, 18000 Nis, Serbia.ORCID 0009-0006-5939-8780
Dragan MilicClinic of Cardiovascular Surgery, University Clinical Center Nis, 18000 Nis, Serbia.ORCID 0000-0002-4283-4068
Vesna DinicClinic for Anesthesiology, University Clinical Center Nis, 18000 Nis, Serbia.
Dalibor StojanovicClinic of Cardiovascular Surgery, University Clinical Center Nis, 18000 Nis, Serbia.
Milan LazarevicInstitute for Treatment and Rehabilitation Niska Banja, 18205 Niska Banja, Serbia.ORCID 0000-0001-8898-948X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Cardiac Surgical ProceduresCardiovascular DiseasesEchocardiographyMachine LearningPostoperative ComplicationsAgedCohort StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesRisk Assessmentaortic valve replacementcoronary artery bypassmachine learningmajor adverse cardiovascular eventspredictive modeling

Identifiers

PMID40870369
PMCPMC12387864

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.