Evidence map›Paper›PMID 28815291›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2017

Prognostic value of atherosclerotic burden and coronary vascular function in patients with suspected coronary artery disease.

Roberta Assante, Wanda Acampa, Emilia Zampella, Parthiban Arumugam, Carmela Nappi, Valeria Gaudieri, Ciro Gabriele Mainolfi, Mariarosaria Panico, Mario Magliulo, Christine M Tonge and 2 more

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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Prognostic Value of Coronary Flow Capacity byCirculation. Cardiovascular imaging · 2024
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  7. Machine learning to predict hemodynamically significant CAD based on traditional risk factors, coronary artery calcium and epicardial fat volume.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
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  8. Combined evaluation of CAC score and myocardial perfusion imaging in patients at risk of cardiovascular disease: where are we and what do the data say.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Review
  9. Myocardial perfusion reserve by CZT cameras: A journey inside coronary microvascular circulation. Is it time to leave yet?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  10. Revascularization of non-culprit lesions: A common dilemma.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
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  11. Prediction of outcome byJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
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  12. The addition of coronary artery calcium to myocardial perfusion: Double or nothing?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
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  13. Cardiac imaging for the assessment of patients being evaluated for liver transplantation.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Review
  14. Multimodality imaging approach to Fabry cardiomyopathy: Any role for nuclear cardiology?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Review
  15. Article
  16. Relation between myocardial blood flow and cardiac events in diabetic patients with suspected coronary artery disease and normal myocardial perfusion imaging.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
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  17. Relationship between coronary artery calcification and myocardial ischemia on computed tomography myocardial perfusion in patients with stable chest pain.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
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  19. The machine learning approach: Artificial intelligence is coming to support critical clinical thinking.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
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  20. Coronary vascular age: An alternate means for predicting stress-induced myocardial ischemia in patients with suspected coronary artery disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2019
    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

12 authors.

Roberta AssanteDepartment of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
Wanda AcampaDepartment of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
Emilia ZampellaDepartment of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
Parthiban ArumugamNuclear Medicine Center, Central Manchester University Teaching Hospitals, Manchester, UK.
Carmela NappiDepartment of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
Valeria GaudieriInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Ciro Gabriele MainolfiDepartment of Advanced Biomedical Sciences, University Federico II, Naples, Italy.
Mariarosaria PanicoInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Mario MagliuloInstitute of Biostructure and Bioimaging, National Council of Research, Naples, Italy.
Christine M TongeNuclear Medicine Center, Central Manchester University Teaching Hospitals, Manchester, UK.
Mario PetrettaDepartment of Translational Medical Sciences, University Federico II, Naples, Italy.
Alberto CuocoloDepartment of Advanced Biomedical Sciences, University Federico II, Naples, Italy. cuocolo@unina.it.ORCID http://orcid.org/0000-0003-3431-7658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the prognostic value of coronary atherosclerotic burden, assessed by coronary artery calcium (CAC) score, and coronary vascular function, assessed by coronary flow reserve (CFR) in patients with suspected coronary artery disease (CAD).

methodsWe studied 436 patients undergoing hybrid

resultsFollow-up was 94% complete during a mean period of 47±15 months. During follow-up, 17 events occurred (4% cumulative event rate). Event-free survival decreased with worsening of CAC score category (p < 0.001) and in patients with reduced CFR (p < 0.005). At multivariable analysis, CAC score ≥400 (p < 0.01) and CFR (p < 0.005) were independent predictors of events. Including CFR in the prognostic model, continuous net reclassification improvement was 0.51 (0.14 in patients with events and 0.37 in those without). At classification and regression tree analysis, the initial split was on CAC score. For patients with a CAC score < 400, no further split was performed, while patients with a CAC score ≥400 were further stratified by CFR values. Decision curve analyses indicate that the model including CFR resulted in a higher net benefit across a wide range of decision threshold probabilities.

conclusionsIn patients with suspected CAD, CFR provides significant incremental risk stratification over established cardiac risk factors and CAC score for prediction of adverse cardiac events.

Indexed as

AtherosclerosisCoronary Artery DiseaseCoronary VesselsFemaleHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyPrognosisRisk FactorsCoronary artery calciumCoronary flow reserveHybrid PET/CTPrognosis

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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.