Evidence map›Paper›PMID 41470230›Full record

ReviewMedicina (Kaunas, Lithuania)2025

Applications of Artificial Intelligence in Chronic Total Occlusion Revascularization: From Present to Future-A Narrative Review.

Velina Doktorova, Georgi Goranov, Petar Nikolov

Abstract readReview
In one paragraph

Review 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A multidimensional item response theory analysis of the Seattle Angina Questionnaire: measurement precision, differential item functioning, and potential for item reduction.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2026
    Article
  2. 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.

Velina DoktorovaFirst Department of Internal Diseases, Section of Cardiology, Medical University of Plovdiv, 4000 Plovdiv, Bulgaria.ORCID 0009-0005-0174-5084
Georgi GoranovFirst Department of Internal Diseases, Section of Cardiology, Medical University of Plovdiv, 4000 Plovdiv, Bulgaria.ORCID 0000-0002-2760-8476
Petar NikolovFirst Department of Internal Diseases, Section of Cardiology, Medical University of Plovdiv, 4000 Plovdiv, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceCoronary OcclusionPercutaneous Coronary InterventionChronic DiseaseHumansMachine Learningartificial intelligencechronic total occlusiondeep learningexplainable AIfederated learningmachine learningpercutaneous coronary interventionprognostic modeling

Identifiers

PMID41470230
PMCPMC12734937

What OpenQuestion 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 OpenQuestion graph.