Evidence map›Paper›PMID 40248500›Full record

ArticleEuropean heart journal. Imaging methods and practice2024

Factors affecting the performance of a novel artificial intelligence-based coronary computed tomography-derived ischaemia algorithm.

Peerapon Kiatkittikul, Teemu Maaniitty, Sarah Bär, Takeru Nabeta, Jeroen J Bax, Antti Saraste, Juhani Knuuti

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal. Imaging methods and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

7 authors.

Peerapon KiatkittikulTurku PET Centre, Turku University Hospital and University of Turku, P. O. Box 52, Turku FI-20521, Finland.ORCID https://orcid.org/0000-0001-7076-3829
Teemu MaaniittyTurku PET Centre, Turku University Hospital and University of Turku, P. O. Box 52, Turku FI-20521, Finland.ORCID https://orcid.org/0000-0001-5819-4635
Sarah BärTurku PET Centre, Turku University Hospital and University of Turku, P. O. Box 52, Turku FI-20521, Finland.ORCID https://orcid.org/0000-0003-0045-6596
Takeru NabetaDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0003-4671-7667
Jeroen J BaxDepartment of Cardiology, Leiden University Medical Center, Leiden, The Netherlands.ORCID https://orcid.org/0000-0001-7368-0500
Antti SarasteTurku PET Centre, Turku University Hospital and University of Turku, P. O. Box 52, Turku FI-20521, Finland.ORCID https://orcid.org/0000-0003-2488-0893
Juhani KnuutiTurku PET Centre, Turku University Hospital and University of Turku, P. O. Box 52, Turku FI-20521, Finland.ORCID https://orcid.org/0000-0003-3156-9593

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: AI-QCT Objective: To identify factors associated with discrepancy between AI-QCT Methods and results: Six hundred and sixty-two patients with suspected obstructive coronary artery disease (CAD) on CCTA and undergoing [ Conclusion: For abnormal AI-QCT

Indexed as

AI-QCTischaemiacoronary artery diseasecoronary computed tomography angiographyoxygen-15 waterpositron emission tomography

Identifiers

PMID40248500
PMCPMC12003262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.