Evidence map›Paper›PMID 35105339›Full record

Observational studyCardiovascular diabetology2022

Variability of adiposity indices and incident heart failure among adults with type 2 diabetes.

Arnaud D Kaze, Sebhat Erqou, Prasanna Santhanam, Alain G Bertoni, Rexford S Ahima, Gregg C Fonarow, Justin B Echouffo-Tcheugui

Registry-linked trialOpen access · goldAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Cardiovascular diabetology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It reports registered trial NCT00000620. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% 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.

NCT00000620 phase3completed

Action to Control Cardiovascular Risk in Diabetes (ACCORD)

Ran1999Enrolled10,251Registered outcomes6Posted comparisons6ConditionsAtherosclerosis, Cardiovascular Diseases, Coronary Disease, Diabetes MellitusArmsAnti-hyperglycemic Agents, Anti-hypertensive Agents, Blinded fenofibrate or placebo plus simvastatin
PMID 17599422PMID 17599426PMID 17599424PMID 17599427PMID 17599423PMID 18539917PMID 17599429PMID 17599428PMID 17599425PMID 17599420PMID 17599421other papers from this trial
Open the trial in the graph
3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. 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

7 authors at 4 institutions in 1 country.

Arnaud D KazeDepartment of Medicine, SOVAH Health, Danville, VA, USA.
Sebhat ErqouDepartment of Medicine, Division of Cardiology, Providence VA Medical Center and Alpert Medical School of Brown University, Providence, RI, USA.
Prasanna SanthanamDepartment of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA.
Alain G BertoniDepartment of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Rexford S AhimaDepartment of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA.
Gregg C FonarowAhmanson-UCLA Cardiomyopathy Center, Ronald Reagan UCLA Medical Center, Los Angeles, CA, USA.
Justin B Echouffo-TcheuguiDepartment of Medicine, Division of Endocrinology, Diabetes & Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, 21224, USA. jechouf1@jhmi.edu.ORCID 0000-0002-8460-1617
Johns Hopkins University · USBrown University · USRonald Reagan UCLA Medical Center · USWake Forest University · US

Funding

Establishing the Pathways Between Diabetes and Cardiac Dysfunction: Epidemiology, Biomarkers, and ImagingK23HL153774 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI ECHOUFFO TCHEUGUI, JUSTIN BASILE · 2020 to 2024
$991k
NHLBI NIH HHS K23 HL153774
6 · The paper itself

Abstract

backgroundIt remains unclear how the variability of adiposity indices relates to incident HF. This study evaluated the associations of the variability in several adiposity indices with incident heart failure (HF) in individuals with type 2 diabetes (T2DM).

methodsWe included 4073 participants from the Look AHEAD (Action for Health in Diabetes) study. We assessed variability of body mass index (BMI), waist circumference (WC), and body weight across four annual visits using three variability metrics, the variability independent of the mean (VIM), coefficient of variation (CV), and intraindividual standard deviation (SD). Multivariable Cox regression models were used to generate adjusted hazard ratios (aHR) and 95% confidence intervals (CI) for incident HF.

resultsOver a median of 6.7 years, 120 participants developed incident HF. After adjusting for relevant confounders including baseline adiposity levels, the aHR for the highest (Q4) versus lowest quartile (Q1) of VIM of BMI was 3.61 (95% CI 1.91-6.80). The corresponding aHRs for CV and SD of BMI were 2.48 (95% CI 1.36-4.53) and 2.88 (1.52-5.46), respectively. Regarding WC variability, the equivalent aHRs were 1.90 (95% CI 1.11-3.26), 1.79 (95% CI 1.07-3.01), and 1.73 (1.01-2.95) for Q4 versus Q1 of VIM, CV and SD of WC, respectively.

conclusionsIn a large sample of adults with T2DM, a greater variability of adiposity indices was associated with higher risks of incident HF, independently of traditional risk factors and baseline adiposity levels. Registration-URL: https://clinicaltrials.gov/ct2/show/NCT00000620 .

Indexed as

AdiposityAgedBody Mass IndexDiabetes Mellitus, Type 2FemaleHeart Disease Risk FactorsHeart FailureHumansIncidenceMaleMiddle AgedObesityPredictive Value of TestsPrognosisProspective StudiesRandomized Controlled Trials as TopicCardiovascular diseaseDiabetes, type 2EpidemiologyHeart failureObesity

Identifiers

PMID35105339
PMCPMC8805255
OpenAlexW4210430414

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.