Evidence map›Paper›PMID 29490333›Full record

ArticleJAMA cardiology2018

Association of Body Mass Index With Lifetime Risk of Cardiovascular Disease and Compression of Morbidity.

Sadiya S Khan, Hongyan Ning, John T Wilkins, Norrina Allen, Mercedes Carnethon, Jarett D Berry, Ranya N Sweis, Donald M Lloyd-Jones

2 registry-linked trialsOpen access · bronzeAbstract read
In one paragraph

Article in JAMA cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 548 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
548citing papers in PubMed, 4 pooled it
80.6field-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.

NCT04735874 completednot on this mapstarted 2021, after this paper: background citation

Vascular Health and Risk Factors in Children With Down Syndrome

TypeobservationalSponsorUniversity of UtahRan2021 to 2023Enrolled55ConditionsDown Syndrome, Cardiovascular Risk Factor, AtherosclerosisArmsEvaluate vascular disease risk factors in children with Down Syndrome, Determine the associations between cardiovascular disease risk factors and markers of early atherosclerosis in children with Down Syndrome
NCT06950138 phase3completednot on this mapstarted 2023, after this paper: background citation

Efficacy of Triticum Aestivum Over Vascular Function in Mexican Obese Patients

TypeinterventionalSponsorCoordinación de Investigación en Salud, MexicoRan2023 to 2025Enrolled20ConditionsObesity, Vascular RiskArmsTriticum aestivum, calcined magnesia
3 · Its place in the literature

Who cites it

548 citing papers in PubMed, 4 syntheses or guidelines pooled it, 1,035 citations in OpenAlex.

  1. Pooled it
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  3. Pharmacological properties of ginger (Frontiers in pharmacology · 2025
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488 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Sadiya S KhanDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Hongyan NingDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
John T WilkinsDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Norrina AllenDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Mercedes CarnethonDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Jarett D BerryDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas.
Ranya N SweisDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Donald M Lloyd-JonesDivision of Cardiology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Northwestern University · USThe University of Texas Southwestern Medical Center · US

Funding

Northwestern University Clinical and Translational Science Institute (NUCATS)KL2TR001424 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SHARMA, LEENA · 2015 to 2023
$8.1M
Associations Among Apolipoprotein A1 Structural Variants and High-Density Lipoprotein FunctionK23HL133601 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI WILKINS, JOHN THOMAS · 2016 to 2019
$663k
Epidemiologic Study of Ethnicity and Lifetime Risks for Cardiovascular DiseaseR21HL085375 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LLOYD-JONES, DONALD M · 2006 to 2007
$297k
The Role of Plasminogen Activator Inhibitor-1 in the Development and Progression of ObesityF32HL129695 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KHAN, SADIYA SANA · 2015 to 2016
$134k
NCATS NIH HHS KL2 TR001424NHLBI NIH HHS F32 HL129695NHLBI NIH HHS K23 HL133601
6 · The paper itself

Abstract

Importance: Prior studies have demonstrated lower all-cause mortality in individuals who are overweight compared with those with normal body mass index (BMI), but whether this may come at the cost of greater burden of cardiovascular disease (CVD) is unknown. Objective: To calculate lifetime risk estimates of incident CVD and subtypes of CVD and to estimate years lived with and without CVD by weight status. Design, Setting, and Participants: In this population-based study, we used pooled individual-level data from adults (baseline age, 20-39, 40-59, and 60-79 years) across 10 large US prospective cohorts, with 3.2 million person-years of follow-up from 1964 to 2015. All participants were free of clinical CVD at baseline with available BMI index and CVD outcomes data. Data were analyzed from October 2016 to July 2017. Exposures: World Health Organization-standardized BMI categories. Main Outcomes and Measures: Total CVD and CVD subtype, including fatal and nonfatal coronary heart disease, stroke, congestive heart failure, and other CVD deaths. Heights and weights were measured directly by investigators in each study, and BMI was calculated as weight in kilograms divided by height in meters squared. We performed (1) modified Kaplan-Meier analysis to estimate lifetime risks, (2) adjusted competing Cox models to estimate joint cumulative risks for CVD or noncardiovascular death, and (3) the Irwin restricted mean to estimate years lived free of and with CVD. Results: Of the 190 672 in-person examinations included in this study, the mean (SD) age was 46.0 (15.0) years for men and 58.7 (12.9) years for women, and 140 835 patients (73.9%) were female. Compared with individuals with a normal BMI (defined as a BMI of 18.5 to 24.9), lifetime risks for incident CVD were higher in middle-aged adults in the overweight and obese groups. Compared with normal weight, among middle-aged men and women, competing hazard ratios for incident CVD were 1.21 (95% CI, 1.14-1.28) and 1.32 (95% CI, 1.24-1.40), respectively, for overweight (BMI, 25.0-29.9), 1.67 (95% CI, 1.55-1.79) and 1.85 (95% CI, 1.72-1.99) for obesity (BMI, 30.0-39.9), and 3.14 (95% CI, 2.48-3.97) and 2.53 (95% CI, 2.20-2.91) for morbid obesity (BMI, ≥40.0). Higher BMI had the strongest association with incident heart failure among CVD subtypes. Average years lived with CVD were longer for middle-aged adults in the overweight and obese groups compared with adults in the normal BMI group. Similar patterns were observed in younger and older adults. Conclusions and Relevance: In this study, obesity was associated with shorter longevity and significantly increased risk of cardiovascular morbidity and mortality compared with normal BMI. Despite similar longevity compared with normal BMI, overweight was associated with significantly increased risk of developing CVD at an earlier age, resulting in a greater proportion of life lived with CVD morbidity.

Indexed as

AdultAgedAge FactorsBody Mass IndexCardiovascular DiseasesFemaleHumansLongevityMaleMiddle AgedObesityOverweightRisk FactorsSex FactorsYoung Adult

Identifiers

PMID29490333
PMCPMC5875319
OpenAlexW2793368865

What OpenQuestion holds

Textmetadata
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.