Evidence map›Paper›PMID 18674718›Full record

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

Cardiovascular risk, obesity, and myocardial blood flow in postmenopausal women.

Apurva A Motivala, Patricia A Rose, H Myra Kim, Yolanda R Smith, Catherine Bartnik, Robert D Brook, Otto Muzik, Claire S Duvernoy

Abstract read
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In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

16 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Quantification of PET Myocardial Blood Flow.Current cardiology reports · 2019
    Review
  5. Coronary Microvascular Dysfunction and Cardiovascular Risk in Obese Patients.Journal of the American College of Cardiology · 2018
    Observational
  6. Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2018
    Article
  7. Myocardial blood flow: Putting it into clinical perspective.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2016
    Article
  8. Review
  9. Article
  10. Article
  11. Non-invasive quantification of coronary vascular dysfunction for diagnosis and management of coronary artery disease.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2012
    Review
  12. Matching between regional coronary vasodilator capacity and corresponding circumferential strain in individuals with normal and increasing body weight.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2012
    Article
  13. Review
  14. Review
  15. Are people with normal radionuclide perfusion imaging studies better-off if they are obese?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2010
    Article
  16. Detecting the impact of emerging cardiovascular risk factors: the role of positron emission tomography.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Apurva A MotivalaDivision of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, USA.
Patricia A Rose
H Myra Kim
Yolanda R Smith
Catherine Bartnik
Robert D Brook
Otto Muzik
Claire S Duvernoy
University of Michigan–Ann Arbor · USVA Ann Arbor Healthcare System · USMichigan Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study was designed to determine whether overweight or obese status is independently associated with myocardial flow reserve (MFR), an established predictor of cardiovascular mortality, in a group of postmenopausal women with no previous cardiovascular disease. Postmenopausal women are the largest group of overweight and physically inactive individuals in the United States. Increased body mass index (BMI) is consistently associated with increased cardiovascular mortality in this population. Whether this is because of obesity itself or the accompanying increase in cardiovascular risk factors (CRFs) remains controversial.

methodsWe examined the relationship of myocardial blood flow (MBF), coronary vascular resistance, and MFR to BMI in 60 postmenopausal women with no coronary heart disease. Subjects underwent dynamic N-13 ammonia positron emission tomography for the measurement of MBF and MFR. Baseline demographics, CRF, and hemodynamic parameters were recorded for each subject. Datasets were divided into 3 groups according to BMI: normal (18 to 24), overweight (25 to 29), and obese (>or=30).

resultsThe overweight and obese groups showed significantly higher resting MBF and lower MFR than the normal-weight group (both P < .001), even after adjusting for CRF. A further analysis of subjects without any CRF (n = 35) showed that the MFR remained significantly lower in the obese compared with normal-weight subjects (P = .05). Levels of known markers of vascular inflammation (high-sensitivity C-reactive protein and homocysteine) and high-density lipoprotein cholesterol levels correlated with declining MFR.

conclusionsThese findings provide a mechanistic link between obesity and coronary heart disease in this population.

Indexed as

PostmenopauseAgedCoronary Artery DiseaseFemaleHumansMiddle AgedObesityPrevalenceRadionuclide ImagingRisk AssessmentRisk Factors

Identifiers

PMID18674718
OpenAlexW2076786492

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.