Evidence map›Paper›PMID 35727872›Full record

ArticleCirculation. Cardiovascular imaging2022

Differences in Prognostic Value of Myocardial Perfusion Single-Photon Emission Computed Tomography Using High-Efficiency Solid-State Detector Between Men and Women in a Large International Multicenter Study.

Balaji K Tamarappoo, Yuka Otaki, Tali Sharir, Lien-Hsin Hu, Heidi Gransar, Andrew J Einstein, Mathews B Fish, Terrence D Ruddy, Philipp Kaufmann, Albert J Sinusas and 9 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Circulation. Cardiovascular imaging, 2022. 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
  2. Article
  3. Article
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

19 authors.

Balaji K Tamarappoo *Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).
Yuka Otaki *Department of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).
Tali SharirDepartment of Nuclear Cardiology, Assuta Medical Centers, Tel Aviv, Israel (T.S.).
Lien-Hsin HuDepartment of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).ORCID 0000-0003-0036-5512
Heidi GransarDepartment of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).
Andrew J EinsteinDivision of Cardiology, Department of Medicine, and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital (A.J.E.).
Mathews B FishOregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR (M.B.F.).
Terrence D RuddyDivision of Cardiology, University of Ottawa Heart Institute, ON, Canada (T.D.R.).ORCID 0000-0002-0686-5449
Philipp KaufmannDepartment of Nuclear Medicine, Cardiac Imaging, University Hospital Zurich, Switzerland (P.K.).ORCID 0000-0002-9451-5210
Albert J SinusasSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A.J.S., E.J.M.).ORCID 0000-0003-0972-9589
Edward J MillerSection of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT (A.J.S., E.J.M.).
Timothy M BatemanCardiovascular Imaging Technologies LLC, Kansas City, MO (T.M.B.).
Sharmila DorbalaDepartment of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA (S.D., M.D.C.).ORCID 0000-0003-1462-1185
Marcelo Di CarliDepartment of Radiology, Division of Nuclear Medicine and Molecular Imaging, Brigham and Women's Hospital, Boston, MA (S.D., M.D.C.).ORCID 0000-0003-3119-025X
Evann EisenbergDepartment of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).
Joanna X LiangDepartment of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).
Damini DeyDepartment of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).ORCID 0000-0003-2236-6970
Daniel S BermanDepartment of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).
Piotr J SlomkaDepartment of Medicine (Division of Artificial Intelligence), Imaging, and Biomedical Sciences, Cedars-Sinai Medical Center, Los Angeles (B.K.T., Y.O., L.-H.H., H.G., E.E., J.X.L., D.D., D.S.B., P.J.S.).

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
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
Detection of vulnerable atherosclerotic plaque with a novel 18F-labeled Integrin targeted PET imaging agentR56HL131871 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI TAMARAPPOO, BALAJI K. · 2016 to 2016
$496k
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL089765NHLBI NIH HHS R56 HL131871
6 · The paper itself

Abstract

backgroundSemiquantitative assessment of stress myocardial perfusion defect has been shown to have greater prognostic value for prediction of major adverse cardiac events (MACE) in women compared with men in single-center studies with conventional single-photon emission computed tomography (SPECT) cameras. We evaluated sex-specific difference in the prognostic value of automated quantification of ischemic total perfusion defect (ITPD) and the interaction between sex and ITPD using high-efficiency SPECT cameras with solid-state detectors in an international multicenter imaging registry (REFINE SPECT [Registry of Fast Myocardial Perfusion Imaging With Next-Generation SPECT]).

methodsRest and exercise or pharmacological stress SPECT myocardial perfusion imaging were performed in 17 833 patients from 5 centers. MACE was defined as the first occurrence of death or myocardial infarction. Total perfusion defect (TPD) at rest, stress, and ejection fraction were quantified automatically by software. ITPD was given by stressTPD-restTPD. Cox proportional hazards model was used to evaluate the association between ITPD versus MACE-free survival and expressed as a hazard ratio.

resultsIn 10614 men and 7219 women, with a median follow-up of 4.75 years (interquartile range, 3.7-6.1), there were 1709 MACE. In a multivariable Cox model, after adjusting for revascularization and other confounding variables, ITPD was associated with MACE (hazard ratio, 1.08 [95% CI, 1.05-1.1];

conclusionsIn the international, multicenter REFINE SPECT registry, moderate and severe ischemia as quantified by ITPD from high-efficiency SPECT is associated with a worse prognosis in women compared with men.

Indexed as

Coronary Artery DiseaseMyocardial InfarctionMyocardial Perfusion ImagingFemaleHumansMalePerfusionPrognosisTomography, Emission-Computed, Single-Photoncoronary artery diseasemyocardial infarctionmyocardial perfusion imagingprognosistomography

Identifiers

PMID35727872
PMCPMC9307118

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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.