Evidence map›Paper›PMID 40368278›Full record

Observational studyThe Canadian journal of cardiology2025

Reassessing Cardiovascular Risk in Patients With Peripheral Artery Disease Undergoing Myocardial Perfusion Imaging.

Kaiming Wang, Tali Sharir, M Timothy Hauser, Sharmila Dorbala, Marcelo Di Carli, Mathews B Fish, Terrence D Ruddy, Timothy Bateman, Andrew J Einstein, Philipp A Kaufmann and 11 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in The Canadian journal of cardiology, 2025. 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
–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

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

21 authors.

Kaiming WangDepartment of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada.
Tali SharirDepartment of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel, and Ben Gurion University of the Negev, Beer Sheba, Israel.
M Timothy HauserDepartment of Nuclear Cardiology, Oklahoma Heart Hospital, Oklahoma City, Oklahoma, USA.
Sharmila DorbalaDepartment of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Marcelo Di CarliDepartment of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Mathews B FishOregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, Oregon, USA.
Terrence D RuddyDivision of Cardiology, University of Ottawa Heart Institute, Ottawa, Ontario, Canada.
Timothy BatemanCardiovascular Imaging Technologies, LLC, Kansas City, Missouri, USA.
Andrew J EinsteinDivision of Cardiology, Department of Medicine and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, New York, USA.
Philipp A KaufmannDepartment of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Zurich, Switzerland.
Edward J MillerSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Albert J SinusasSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Wanda AcampaDepartment of Advanced Biomedical Sciences, University of Naples "Federico II," Naples, Italy.
Julian HalcoxSwansea University Medical School, Swansea University, Swansea, Wales, UK.
Monica MartinsSwansea University Medical School, Swansea University, Swansea, Wales, UK.
Joanna X LiangDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Valerie BuiloffDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Damini DeyDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Daniel S BermanDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.
Robert J H MillerDepartment of Cardiac Sciences, University of Calgary, Calgary, Alberta, Canada. Electronic address: robert.miller@albertahealthservices.ca.
Piotr J SlomkaDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, California, USA.

Funding

Quantitative Prediction of Disease and Outcomes from Next Generation SPECT and CTR01HL089765 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI SLOMKA, PIOTR J · 2007 to 2021
$6.1M
Patient-specific Outcome Prediction from Cardiovascular Multimodality Imaging by Artificial IntelligenceR35HL161195 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI Piotr J Slomka · 2022 to 2026
$5.0M
NHLBI NIH HHS R01 HL089765NHLBI NIH HHS R35 HL161195
6 · The paper itself

Abstract

backgroundCoronary artery disease (CAD) and peripheral artery disease (PAD) are often regarded as analogous risk factors for major adverse cardiovascular events (MACE), given their shared pathophysiology. We aimed to investigate whether the elevated MACE risk in PAD is driven by myocardial perfusion abnormalities or through other PAD-specific mediators.

methodsWe analyzed 45,252 patients from an international, multicentre registry who underwent SPECT myocardial perfusion imaging, excluding those with early coronary revascularization (< 90 days). Myocardial perfusion abnormalities were quantified using total perfusion deficit (TPD). MACE was defined as all-cause mortality, unstable angina admission, myocardial infarction, or late coronary revascularization. PAD was defined using questionnaires or review of electronic medical records. Propensity-score matching was used to select balanced groups of patients with and without PAD.

resultsDuring a median follow-up of 3.6 years (interquartile range [IQR]: 2.6-4.8 years), 5932 patients (13.7%) experienced at least 1 MACE. Compared with patients with neither disease, isolated history of CAD (adjusted hazard ratio [aHR], 1.92; 95% confidence interval [CI], 1.80-2.05) conferred a similar MACE risk as concomitant history of CAD and PAD (aHR, 1.57; 95% CI, 1.44-1.71) and greater risk than isolated history of PAD (aHR, 1.20; 95% CI, 1.09-1.32; P < 0.001). After propensity-score matching, history of PAD alone was not independently associated with increased MACE risk (P = 0.064).

conclusionsAlthough patients with PAD often have concomitant CAD and greater myocardial perfusion abnormalities, PAD itself was not linked to higher risk of MACE after adjusting for these factors. These findings highlight the importance of assessing myocardial ischemic burden in PAD for risk stratification and prompt initiation of disease-modifying therapies.

Indexed as

Coronary Artery DiseaseMyocardial Perfusion ImagingPeripheral Arterial DiseaseRegistriesAgedFemaleFollow-Up StudiesHumansMaleMiddle AgedMyocardial RevascularizationPropensity ScoreRisk AssessmentRisk FactorsTomography, Emission-Computed, Single-Photon

Identifiers

PMID40368278
PMCPMC12564122

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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.