Evidence map›Paper›PMID 20606430›Full record

ArticleCardiology2010

Pre-clinical myocardial metabolic alterations in chronic kidney disease.

Jeffrey C Fink, Martin A Lodge, Mark F Smith, Anish Hinduja, Jeanine Brown, Mara Y Dinits-Pensy, Vasken Dilsizian

Abstract read
In one paragraph

Article in Cardiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Total-body positron emission tomography: Investigating mechanisms in cardiovascular-kidney-metabolic syndrome.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2025
    Review
  4. Article
  5. Review
  6. Cardiac molecular imaging to track left ventricular remodeling in heart failure.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2017
    Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Fatty acid imaging of the heart.Current cardiology reports · 2011
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Jeffrey C FinkDepartment of Medicine, Division of Nephrology, University of Maryland, Baltimore, USA.
Martin A Lodge
Mark F Smith
Anish Hinduja
Jeanine Brown
Mara Y Dinits-Pensy
Vasken Dilsizian

Funding

University of Maryland Center for Health Disparities Re*P60MD000532 · NIMHD · UNIVERSITY OF MARYLAND BALTIMORE · PI BAQUET, CLAUDIA R0SE · 2003 to 2008
$5.1M
NIMHD NIH HHS 1P60 MD000532-01NIMHD NIH HHS P60 MD000532
6 · The paper itself

Abstract

unlabelledThe risk for cardiovascular events conferred by decreased renal function is curvilinear with exponentially greater increases in risk as estimated glomerular filtration rate (eGFR) declines. In 13 non-diabetic pre-dialysis chronic kidney disease (CKD) patients, we employed quantitative F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) as a means to measure myocardial metabolic changes.

methodsDynamic cardiac FDG PET images were acquired after 6 h fasting and glucose loading. Corrections for attenuation, scatter, randoms, dead time and decay were applied to the PET data and myocardial glucose utilization (MGU) was calculated using the Patlak method in conjunction with standardized myocardial regions of interest and an image-derived input function (left atrium). MGU was compared with eGFR based on a serum creatinine drawn within 2 weeks of the study date.

resultsMGU was relatively uniform between the myocardial sectors (coefficient of variation = 16.2 +/- 6.8%) within each patient. Between patients, whole myocardium MGU varied considerably with a range of 37.3-156.2 micromol/min/100 g and a mean of 68.9 +/- 38.3 mumol/min/ 100 g. eGFR ranged from 11-89 ml/min/1.73 m(2) with a mean of 42.8 +/- 26.9 ml/min/1.73 m(2). There was an inverse correlation between whole myocardium MGU and eGFR (Spearman's rho correlation = -0.615, p = 0.025). In multivariate analysis, the relationship between MGU and eGFR was sustained with adjustment for age, race and gender (adjusted beta = -1.56 +/- 0.48, p = 0.01). There was no correlation between cardiac workload and eGFR (p = NS).

conclusionsA significant inverse correlation between MGU and eGFR is supportive of the hypothesis that CKD is associated with myocardial metabolic changes, which could not be attributed to demographic factors or cardiac workload. Dynamic FDG PET could provide a sensitive, non-invasive, quantitative tool for investigating pre-clinical myocardial abnormalities in patients with CKD.

Indexed as

AdultBiomarkersCardiovascular DiseasesChronic DiseaseCross-Sectional StudiesFemaleFluorodeoxyglucose F18Glomerular Filtration RateHumansKidney DiseasesMaleMiddle AgedMyocardiumPilot ProjectsPositron-Emission TomographyUremiaBiomarkersFluorodeoxyglucose F18

Identifiers

PMID20606430
PMCPMC3202933

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.