Evidence map›Paper›PMID 39728290›Full record

ArticleJournal of cardiovascular development and disease2024

Computed Tomography Coronary Angiography Is Feasible and Reliable for Proximal Coronary Segment Interpretation in Patients with Elevated Body Mass Index.

Anthony Salib, Michael Hay, Rahul Muthalaly, Timothy Abrahams, Nushrat Sultana, Raj Kanna, Ravi Rao, Akira Abe, John Bastwrous, Emma Aldous and 8 more

Abstract read
In one paragraph

Article in Journal of cardiovascular development and disease, 2024. 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
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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

18 authors.

Anthony SalibFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.ORCID 0009-0003-7524-6160
Michael HayMonash Cardiovascular Research Centre, Victorian Heart Hospital, Blackburn Rd, Melbourne 3800, Australia.
Rahul MuthalalyFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.
Timothy AbrahamsMonash Cardiovascular Research Centre, Victorian Heart Hospital, Blackburn Rd, Melbourne 3800, Australia.
Nushrat SultanaMonash Cardiovascular Research Centre, Victorian Heart Hospital, Blackburn Rd, Melbourne 3800, Australia.
Raj KannaIndependent Researcher, Perth 6000, Australia.
Ravi RaoIndependent Researcher, Perth 6000, Australia.
Akira AbeIndependent Researcher, Melbourne 3800, Australia.
John BastwrousIndependent Researcher, Melbourne 3800, Australia.
Emma AldousFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.
Huong TuFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.
Sarang PaleriMonash Cardiovascular Research Centre, Victorian Heart Hospital, Blackburn Rd, Melbourne 3800, Australia.
Sheran VasanthakumarMonash Cardiovascular Research Centre, Victorian Heart Hospital, Blackburn Rd, Melbourne 3800, Australia.
Alisha PatelMonash Cardiovascular Research Centre, Victorian Heart Hospital, Blackburn Rd, Melbourne 3800, Australia.
Rhea NandurkarFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.
Adam BrownFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.
Andrew LinFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.ORCID 0000-0003-0348-7697
Nitesh NerlekarFaculty of Medicine, Monash University, Wellington Rd, Melbourne 3800, Australia.ORCID 0000-0002-3437-8648

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computed tomography coronary angiography (CTCA) is under-utilised in detecting coronary artery disease (CAD) in obese patients due to concerns about non-evaluable testing. We hypothesise that these concerns are predominantly related to smaller and branch coronary vessels, and CTCA remains adequate for proximal segment stenosis interpretation, which has significant clinical implications. This retrospective cohort study, on consecutive patients referred for CTCA for suspected CAD, grouped patients by body mass index. A 4-point Likert scale assessed image quality, with any poorly visualised segment at the per-patient level resulting in the CTCA being subsequently analysed for proximal coronary artery segment evaluability. Of the 703 patients, 93.5% of the studies were fully evaluable. Patients with a BMI ≥ 40, diabetic patients, and patients with an elevated acquisition heart rate were associated with suboptimal studies. Of the 46 suboptimal studies, 163/182 (90%) of proximal segments were fully evaluable. Non-evaluable segments were derived from seven patients (one with a BMI ≥ 40). Reasons for proximal segment non-evaluability were predominantly due to calcific blooming (12/19 segments). While CTCA may be less reliable for distal and side-branch artery evaluation in obese patients, it remains highly evaluable for stenosis severity of the proximal main coronary segments, which carries prognostic significance. It may therefore be considered a suitable non-invasive anatomic test for patients, regardless of BMI.

Indexed as

CADCTCAobesityproximal coronary segment

Identifiers

PMID39728290
PMCPMC11678149

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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.