Evidence map›Paper›PMID 40703337›Full record

ArticleAmerican heart journal plus : cardiology research and practice2025

Interplay between subclinical calcified atherosclerosis and coronary microvascular dysfunction in patients with normal perfusion imaging.

Krishna K Patel, Phillip A Lim, Raed Qarajeh, Poghni A Peri-Okonny, A Iain McGhie, Leslee J Shaw, Timothy M Bateman

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 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. Review
  2. Review
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.

Krishna K PatelIcahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Phillip A LimIcahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Raed QarajehSaint Luke's Mid America Heart Institute, University of Missouri- Kansas City, Kansas City, MO, United States of America.
Poghni A Peri-OkonnySaint Luke's Mid America Heart Institute, University of Missouri- Kansas City, Kansas City, MO, United States of America.
A Iain McGhieSaint Luke's Mid America Heart Institute, University of Missouri- Kansas City, Kansas City, MO, United States of America.
Leslee J ShawIcahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Timothy M BatemanSaint Luke's Mid America Heart Institute, University of Missouri- Kansas City, Kansas City, MO, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

AimCoronary microvascular dysfunction (CMD) and epicardial atherosclerosis often coexist and share common risk factors, yet their interplay remains poorly characterized, especially among patients with normal perfusion on Methods: A total of 7273 consecutive patients (2010-2020) without known coronary artery disease, normal Results: Mean age was 65.4 (12.4) years, 64 % were women. CMD was present in 44 % and CAC > 0 in 74 % of patients. Of patients with CMD, 79 % had CAC > 0. Among those with CAC >0, 44 % had CMD, vs. 31 % among CAC = 0. There was a modest inverse correlation between MBFR and CACS, Conclusion: In this cohort with normal perfusion imaging, increased CAC burden was associated with a higher likelihood of CMD, suggesting frequent co-occurrence of epicardial atherosclerosis and CMD. Absence of CAC does not preclude CMD.

Indexed as

Coronary artery calcium scoreCoronary artery diseaseCoronary flow reserveMicrovascular dysfunctionMyocardial perfusion imagingPositron emission tomography

Identifiers

PMID40703337
PMCPMC12284784

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.