Evidence map›Paper›PMID 33599942›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2021

Relation between myocardial blood flow and cardiac events in diabetic patients with suspected coronary artery disease and normal myocardial perfusion imaging.

Roberta Assante, Ciro Gabriele Mainolfi, Emilia Zampella, Valeria Gaudieri, Carmela Nappi, Teresa Mannarino, Adriana D'Antonio, Parthiban Arumugam, Mario Petretta, Alberto Cuocolo and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Observational
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Interaction of impaired myocardial flow reserve and extent of myocardial ischemia assessed usingJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  10. Including myocardial flow reserve by PET in prediction models: Ready to fly?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  11. Review
  12. Prediction of outcome byJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  13. Article
  14. Observational
  15. Atherosclerosis Burdens in Diabetes Mellitus: Assessment by PET Imaging.International journal of molecular sciences · 2022
    Review
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Roberta AssanteDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Ciro Gabriele MainolfiDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Emilia ZampellaDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Valeria GaudieriDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Carmela NappiDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Teresa MannarinoDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Adriana D'AntonioDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy.
Parthiban ArumugamNuclear 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, Via Pansini 5, 80131, Naples, Italy.
Wanda AcampaDepartment of Advanced Biomedical Sciences, University Federico II, Via Pansini 5, 80131, Naples, Italy. acampa@unina.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe assessed the prognostic value of structural abnormalities and coronary vasodilator function in diabetic patients referred to a PET/CT for suspected coronary artery disease (CAD).

methodsWe studied 451 diabetics and 451 nondiabetics without overt CAD and normal myocardial perfusion. Myocardial blood flow (MBF) was computed from the dynamic rest and stress imaging. Myocardial flow reserve (MFR) was defined as ratio of hyperemic to baseline MBF and was considered reduced when < 2.

resultsDuring a mean follow-up of 44 months 33 events occurred. Annualized event rate (AER) was higher in diabetic than nondiabetic patients (1.4% vs 0.3%, P < .001). Diabetic patients with reduced MFR had higher AER compared to those with preserved MFR (3.3% vs 0.4%, P  < .001). At Cox analysis, age, BMI and reduced MFR were independent predictors of events in diabetic patients. Patients with diabetes and reduced MFR had lower event-free survival compared to nondiabetic patients and MFR < 2 (P < .001). Event-free survival was similar in patients with diabetes and normal MFR and those without diabetes and reduced MFR.

conclusionsDiabetic patients with reduced MFR had higher AER and lower event-free survival compared to those with preserved MFR and to nondiabetic patients.

Indexed as

AgedCoronary Artery DiseaseCoronary CirculationDiabetes Mellitus, Type 2FemaleFollow-Up StudiesFractional Flow Reserve, MyocardialHumansMaleMiddle AgedMyocardial Perfusion ImagingPositron Emission Tomography Computed TomographyPredictive Value of TestsProgression-Free SurvivalProportional Hazards ModelsDiabetes mellitusMyocardial perfusion reservePrognosis

Identifiers

PMID33599942
PMCPMC8421293

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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.