Evidence map›Paper›PMID 25971987›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2016

Predictors of high-risk coronary artery disease in subjects with normal SPECT myocardial perfusion imaging.

Rine Nakanishi, Heidi Gransar, Piotr Slomka, Reza Arsanjani, Aryeh Shalev, Yuka Otaki, John D Friedman, Sean W Hayes, Louise E B Thomson, Mathews Fish and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Cardiac Magnetic Resonance Imaging in Heart Failure.Cardiovascular innovations and applications · 2024
    Article
  7. Review
  8. Article
  9. Gated SPECT beyond myocardial perfusion: assessment of mechanical left ventricular synchrony.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  10. Review
  11. Diagnostic accuracy of stress-only myocardial perfusion SPECT improved by deep learning.European journal of nuclear medicine and molecular imaging · 2021
    Article
  12. Early onset of left ventricular regional asynchrony in arteries with sub-clinical stenosis.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  13. The magic of improved crystal technology coupled with better resolution: Novel imaging findings may promise improved disease detection.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  14. Left ventricular dyssynchrony and abnormalities in wall motion, assessed by gated-SPECT as ischemic auxiliary markers.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Observational
  15. Auxiliary ischemic markers, the role of left ventricular dyssynchrony.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  16. Article
  17. Feasibility and accuracy of SPECT myocardial perfusion imaging in end-stage lung disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  18. My warranty has expired: I need to be retested.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    Article
  19. Review
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Rine NakanishiDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Heidi GransarDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Piotr SlomkaDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Reza ArsanjaniDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Aryeh ShalevDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Yuka OtakiDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
John D FriedmanDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Sean W HayesDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Louise E B ThomsonDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Mathews FishOregon Heart and Vascular Institute, Sacred Heart Medical Center, Springfield, OR, USA.
Guido GermanoDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Aiden AbidovSarver Heart Center, University of Arizona College of Medicine, Tucson, AZ, USA.
Leslee ShawDepartment of Medicine, Emory University, Atlanta, GA, USA.
Alan RozanskiDivision of Cardiology, St. Luke's Roosevelt Hospital, New York, NY, USA.
Daniel S BermanDepartments of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA. bermand@cshs.org.

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
Prognostic Utility of Absolute Coronary Microvascular Function by PET/CTK23HL092299 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI DORBALA, SHARMILA · 2009 to 2013
$705k
NHLBI NIH HHS K23 HL092299NHLBI NIH HHS R01 HL089765
6 · The paper itself

Abstract

backgroundWhile uncommon, normal stress SPECT myocardial perfusion imaging (MPI) can be seen in patients with high-risk coronary artery disease (CAD) by invasive coronary angiography (ICA).The predictors of high-risk CAD in patients with normal SPECT-MPI have not been described.

methodsWe studied 580 patients (age 64 ± 12 years, 49% men) without known CAD who underwent stress-gated SPECT-MPI [exercise (41%) or vasodilator (59%)] <2 months before ICA and had summed stress score (SSS) <4. High-risk CAD was defined as 3 vessels with ≥70% stenosis, 2 vessels with ≥70% stenosis including proximal left anterior descending, or left main with ≥50% stenosis. Obstructive non-high-risk CAD was defined by the presence of a ≥70% stenosis but without having other high-risk criteria. Tenfold cross-validated receiver operating characteristic (ROC) estimates were obtained to assess the predictors of high-risk CAD.

resultsForty-two subjects (7.2%) had high-risk CAD and 168 (29.0%) had obstructive non-high-risk CAD. Variables associated with high-risk CAD were pretest probability of CAD ≥66% (Odds ratio [OR] 3.63, 95% CI 1.6-8.3, P = .002), SSS > 0 (OR 7.46, 95% CI 2.6-21.1, P < 0.001), and abnormal TID (OR 2.16, 95% CI 1.0-4.5, P = 0.044). When substituted for TID, EF change was also predictive of high-risk CAD (OR 0.93, 95% CI 0.9-1.0, P = 0.023). The prevalence of high-risk CAD increased as the number of these predictors increased. In a sub-analysis of patients in whom quantitative total perfusion deficit (TPD) was available, TPD > 0 was also a predictor of high-risk CAD (OR 6.01, 95% CI 1.5-22.2, P = 0.011).

conclusionSeveral clinical, stress, and SPECT-MPI findings are associated high-risk CAD among patients with normal SPECT-MPI. Consideration of these factors may improve the overall assessment of the likelihood of high-risk CAD in patients undergoing stress SPECT-MPI.

Indexed as

AgedCoronary Artery DiseaseFalse Positive ReactionsFemaleGated Blood-Pool ImagingHumansIncidenceLos AngelesMaleMiddle AgedMyocardial Perfusion ImagingOregonPrognosisReproducibility of ResultsRisk AssessmentSensitivity and SpecificityHigh risk of coronary artery diseaseSingle-photon emission computed tomography myocardial perfusion imagingSPECT-MPI

Identifiers

PMID25971987
PMCPMC6377163

What OpenQuestion holds

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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.