Evidence map›Paper›PMID 19196892›Full record

ArticleDiabetes care2009

Predictors of development of diabetes in patients with chronic heart failure in the Candesartan in Heart Failure Assessment of Reduction in Mortality and Morbidity (CHARM) program.

David Preiss, Sofia Zetterstrand, John J V McMurray, Jan Ostergren, Eric L Michelson, Christopher B Granger, Salim Yusuf, Karl Swedberg, Marc A Pfeffer, Hertzel C Gerstein and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 5 pooled it
3.0field-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

29 citing papers in PubMed, 5 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Cardiovascular Pharmacotherapy and Glucose Metabolism: The Good, the Bad and the Unsightly.American journal of cardiovascular drugs : drugs, devices, and other interventions · 2026
    Review
  7. Article
  8. Article
  9. Global epidemiology of heart failure.Nature reviews. Cardiology · 2024
    Review
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  12. Review
  13. Review
  14. Article
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  16. Article
  17. Mineralocorticoid receptors in the pathogenesis of insulin resistance and related disorders: from basic studies to clinical disease.American journal of physiology. Regulatory, integrative and comparative physiology · 2021
    Review
  18. Article
  19. Article
  20. 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 at 8 institutions in 4 countries.

David PreissBHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, Scotland, UK.
Sofia Zetterstrand
John J V McMurray
Jan Ostergren
Eric L Michelson
Christopher B Granger
Salim Yusuf
Karl Swedberg
Marc A Pfeffer
Hertzel C Gerstein
Naveed Sattar
Candesartan in Heart Failure Assessment of Reduction in Mortality and Morbidity Investigators
University of Glasgow · GBAstraZeneca (Sweden) · SEAstraZeneca (United States) · USBrigham and Women's Hospital · USDuke Medical Center · USKarolinska University Hospital · SEMcMaster University · CAUniversity of Gothenburg · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this study was to identify predictors of incident diabetes during follow-up of nondiabetic patients with chronic heart failure (CHF) in the Candesartan in Heart Failure Assessment of Reduction in Mortality and Morbidity (CHARM) program. RESEARCH DESIGN AND

methodsA total of 1,620 nondiabetic patients had full baseline datasets. We compared baseline demographic, medication, and laboratory data for patients who did or did not develop diabetes and conducted logistic regression and receiver operator characteristic curve analyses.

resultsOver a median period of 2.8 years, 126 of the 1,620 patients (7.8%) developed diabetes. In multiple logistic regression analysis, the following baseline characteristics were independently associated with incident diabetes in decreasing order of significance by stepwise selection: higher A1C (odds ratio [OR] 1.78 per 1 SD increase; P < 0.0001), higher BMI (OR 1.64 per 1 SD increase; P < 0.0001), lipid-lowering therapy (OR 2.05; P = 0.0005), lower serum creatinine concentration (OR 0.68 per 1 SD increase; P = 0.0018), diuretic therapy (OR 4.81; P = 0.003), digoxin therapy (OR 1.65; P = 0.022), higher serum alanine aminotransferase concentration (OR 1.15 per 1 SD increase; P = 0.027), and lower age (OR 0.81 per 1 SD increase; P = 0.048). Using receiver operating characteristic curve analysis, A1C and BMI yielded areas under the curve of 0.723 and 0.712, respectively, increasing to 0.788 when combined. Addition of other variables independently associated with diabetes risk minimally improved prediction of diabetes.

conclusionsIn nondiabetic patients with CHF in CHARM, A1C and BMI were the strongest predictors of the development of diabetes. Other minor predictors in part reflected CHF severity or drug-associated diabetes risk. Identifying patients with CHF at risk of diabetes through simple criteria appears possible and could enable targeted preventative measures.

Indexed as

AgedBlood PressureBody Mass IndexChronic DiseaseDiabetes MellitusFemaleFollow-Up StudiesGlycated HemoglobinHeart FailureHumansHypertensionMaleMiddle AgedModels, StatisticalOdds RatioRegression AnalysisGlycated Hemoglobin

Identifiers

PMID19196892
PMCPMC2671104
OpenAlexW2147980767

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.