Evidence map›Paper›PMID 21397319›Full record

SynthesisLancet (London, England)2011

Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies.

Emerging Risk Factors Collaboration, David Wormser, Stephen Kaptoge, Emanuele Di Angelantonio, Angela M Wood, Lisa Pennells, Alex Thompson, Nadeem Sarwar, Jorge R Kizer, Debbie A Lawlor and 10 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Lancet (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 593 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
593citing papers in PubMed, 11 pooled it
51.9field-weighted citation impact, top 1% 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

593 citing papers in PubMed, 11 syntheses or guidelines pooled it, 1,193 citations in OpenAlex.

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533 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 11 institutions in 5 countries.

Emerging Risk Factors CollaborationEmerging Risk Factors Collaboration Coordinating Centre, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK. erfc@phpc.cam.ac.uk
David Wormser
Stephen Kaptoge
Emanuele Di Angelantonio
Angela M Wood
Lisa Pennells
Alex Thompson
Nadeem Sarwar
Jorge R Kizer
Debbie A Lawlor
Børge G Nordestgaard
Paul Ridker
Veikko Salomaa
June Stevens
Mark Woodward
Naveed Sattar
Rory Collins
Simon G Thompson
Gary Whitlock
John Danesh
University of Cambridge · GBUniversity of Oxford · GBCornell University · USHarvard University Press · USMedical Research Council · GBNational Institute of Health and Family Welfare · INThe University of Sydney · AUUniversity of Bristol · GBUniversity of Copenhagen · DKUniversity of Glasgow · GBUniversity of North Carolina at Chapel Hill · US

Funding

INSTITUTE FOR TRANSLATIONAL HEALTH SCIENCE (UL1): BPCAUL1RR025014 · NCRR · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2007 to 2011
$51.5M
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
British Heart Foundation PG/09/002/26056British Heart Foundation RG/08/014British Heart Foundation RG/08/014/24067Medical Research Council G0401527Medical Research Council G0600705Medical Research Council G0701113Medical Research Council G0701619Medical Research Council G1000143Medical Research Council MC_U105260792Medical Research Council MC_U137686857NCATS NIH HHS UL1 TR000062NCRR NIH HHS UL1 RR025014
6 · The paper itself

Abstract

backgroundGuidelines differ about the value of assessment of adiposity measures for cardiovascular disease risk prediction when information is available for other risk factors. We studied the separate and combined associations of body-mass index (BMI), waist circumference, and waist-to-hip ratio with risk of first-onset cardiovascular disease.

methodsWe used individual records from 58 cohorts to calculate hazard ratios (HRs) per 1 SD higher baseline values (4.56 kg/m(2) higher BMI, 12.6 cm higher waist circumference, and 0.083 higher waist-to-hip ratio) and measures of risk discrimination and reclassification. Serial adiposity assessments were used to calculate regression dilution ratios.

resultsIndividual records were available for 221,934 people in 17 countries (14,297 incident cardiovascular disease outcomes; 1.87 million person-years at risk). Serial adiposity assessments were made in up to 63,821 people (mean interval 5.7 years [SD 3.9]). In people with BMI of 20 kg/m(2) or higher, HRs for cardiovascular disease were 1.23 (95% CI 1.17-1.29) with BMI, 1.27 (1.20-1.33) with waist circumference, and 1.25 (1.19-1.31) with waist-to-hip ratio, after adjustment for age, sex, and smoking status. After further adjustment for baseline systolic blood pressure, history of diabetes, and total and HDL cholesterol, corresponding HRs were 1.07 (1.03-1.11) with BMI, 1.10 (1.05-1.14) with waist circumference, and 1.12 (1.08-1.15) with waist-to-hip ratio. Addition of information on BMI, waist circumference, or waist-to-hip ratio to a cardiovascular disease risk prediction model containing conventional risk factors did not importantly improve risk discrimination (C-index changes of -0.0001, -0.0001, and 0.0008, respectively), nor classification of participants to categories of predicted 10-year risk (net reclassification improvement -0.19%, -0.05%, and -0.05%, respectively). Findings were similar when adiposity measures were considered in combination. Reproducibility was greater for BMI (regression dilution ratio 0.95, 95% CI 0.93-0.97) than for waist circumference (0.86, 0.83-0.89) or waist-to-hip ratio (0.63, 0.57-0.70).

interpretationBMI, waist circumference, and waist-to-hip ratio, whether assessed singly or in combination, do not importantly improve cardiovascular disease risk prediction in people in developed countries when additional information is available for systolic blood pressure, history of diabetes, and lipids.

fundingBritish Heart Foundation and UK Medical Research Council.

Indexed as

Body Mass IndexRisk AssessmentAge FactorsBlood PressureCardiovascular DiseasesCholesterolCholesterol, HDLDiabetes MellitusFemaleHumansMaleMiddle AgedObesity, AbdominalProportional Hazards ModelsProspective StudiesSex FactorsCholesterolCholesterol, HDL

Identifiers

PMID21397319
PMCPMC3145074
OpenAlexW1542476404

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.