Evidence map›Paper›PMID 41362378›Full record

ArticleAmerican heart journal plus : cardiology research and practice2026

Integration of BNP and blood glucose for identifying coronary flow reserve impairment: A cardiovascular-kidney-metabolic perspective.

Kotaro Matsumoto, Kenichiro Otsuka, Shunsuke Kagawa, Hiroki Yamaura, Tsubasa Miura, Kazuya Sugioka, Wataru Saitoh, Akihiro Okamoto, Go Kajio, Naoki Fujisawa and 7 more

Abstract read
In one paragraph

Article in American heart journal plus : cardiology research and practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
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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

17 authors.

Kotaro MatsumotoDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Kenichiro OtsukaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Shunsuke KagawaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Hiroki YamauraDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Tsubasa MiuraMedical Device Division, Osaka Metropolitan University of Hospital, Osaka, 545-8585, Japan.
Kazuya SugiokaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Wataru SaitohDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Akihiro OkamotoDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Go KajioDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Naoki FujisawaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Tomohiro YamaguchiDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Takenobu ShimadaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Yusuke HayashiDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Atsushi ShibataDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Asahiro ItoDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Takanori YamazakiDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.
Daiju FukudaDepartment of Cardiovascular Medicine, Osaka Metropolitan University Graduate School of Medicine, 1-4-3 Asahicho, Abenoku, Osaka, 545-8585, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular-kidney-metabolic (CKM) syndrome may predispose patients to coronary microvascular dysfunction (CMD) through systemic microvascular injury. We investigated the association between CKM risk factors and CMD, focusing on the diagnostic performance of accessible biomarkers. In this exploratory analysis, we retrospectively analyzed 65 patients who underwent invasive coronary physiological assessment with thermodilution-derived coronary flow reserve (CFR) and index of microcirculatory resistance (IMR). Clinical variables included casual blood glucose, B-type natriuretic peptide (BNP), and the urine albumin-to-creatinine ratio (ACR), along with echocardiographic indices of diastolic function. Among the 65 patients, 20 (31 %) had impaired CFR. BNP (AUC = 0.74; 95 % confidence interval, CI, 0.60-0.88) and casual blood glucose (area under the curve, AUC = 0.64; 95 % CI, 0.49-0.80) showed diagnostic accuracy for impaired CFR of <2.0, while ACR improved model performance when combined with BNP or E/e'. The combination of BNP and casual glucose significantly improved diagnostic performance compared with either marker alone (AUC = 0.83 vs. 0.75; 95 % CI, 0.73-0.93;

Indexed as

BNPCoronary microvascular dysfunctionGlucoseKidney disease

Identifiers

PMID41362378
PMCPMC12681840

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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.