Evidence map›Paper›PMID 28293706›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2017

Coronary atherosclerotic burden vs. coronary vascular function in diabetic and nondiabetic patients with normal myocardial perfusion: a propensity score analysis.

Roberta Assante, Wanda Acampa, Emilia Zampella, Parthiban Arumugam, Carmela Nappi, Valeria Gaudieri, Mariarosaria Panico, Mario Magliulo, Christine M Tonge, Mario Petretta and 1 more

Abstract readComparative Study
PubMed Publisher
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 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.4field-weighted citation impact, top 8% of its field
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

21 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Prognostic Value of Coronary Flow Capacity byCirculation. Cardiovascular imaging · 2024
    Article
  3. Article
  4. 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
  5. 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
  6. Prediction of outcome byJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  7. 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
    Article
  8. Atherosclerosis Burdens in Diabetes Mellitus: Assessment by PET Imaging.International journal of molecular sciences · 2022
    Review
  9. 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
  10. Vasodilators and myocardial blood flow by CZT cameras: Make us see further.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  11. Article
  12. Article
  13. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  14. Article
  15. Computed tomography calls out nuclear imaging in its field: It doesn't matter how you are searching but what you are looking for.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    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
    Article
  17. Myocardial perfusion reserve by using CZT: It's a long way to the top if you wanna standardize.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2021
    Article
  18. EANM procedural guidelines for PET/CT quantitative myocardial perfusion imaging.European journal of nuclear medicine and molecular imaging · 2021
    Article
  19. Myocardial perfusion imaging for diabetes: Key points from the evidence and clinical questions to be answered.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Review
  20. 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
    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

11 authors at 3 institutions in 2 countries.

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.
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
Federico II University Hospital · ITInstitute of Biostructure and Bioimaging · ITUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the relationship between coronary atherosclerotic burden and vascular function in diabetic and nondiabetic patients after balancing for coronary risk factors.

methodsWe studied 672 patients without overt coronary artery disease and normal myocardial perfusion on stress

resultsBefore matching, diabetic patients had higher coronary artery calcium (CAC) scores (p < 0.001) and lower coronary flow reserve (CFR; p < 0.001) than nondiabetic patients. After matching, CAC scores were comparable between diabetic and nondiabetic patients, but diabetic patients still had lower hyperaemic myocardial blood flow (p < 0.001) and CFR (p < 0.05). Patients were categorized by ln(CAC score) quartiles. There was a decrease in CFR with increasing CAC score quartile in both diabetic patients (p for trend < 0.01) and nondiabetic patients (p for trend < 0.005). Diabetes was associated with lower CFR across quartile categories (p < 0.002). In a multivariable linear regression analysis, CAC score was inversely related to CFR in both diabetic patients (p < 0.05) and nondiabetic patients (p < 0.001).

conclusionDiabetic patients had higher CAC scores than nondiabetic patients, but the difference disappeared when clinical characteristics were taken into account. Of note, diabetic patients also had lower CFR regardless of CAC score than nondiabetic patients after matching. Thus, coronary atherosclerotic burden and vascular function have to be seen as two different entities.

Indexed as

Myocardial Perfusion ImagingPropensity ScoreAgingCalciumCoronary Artery DiseaseCoronary VesselsDiabetes Mellitus, Type 2FemaleHemodynamicsHumansMaleMiddle AgedPositron Emission Tomography Computed TomographyRisk FactorsCalciumCardiovascular risk factorsCoronary artery calciumCoronary flow reserveDiabetes mellitus

Identifiers

PMID28293706
OpenAlexW2612335526

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.