Evidence map›Paper›PMID 24951039›Full record

Trial reportAmerican journal of preventive medicine2014

Quantifying cardiometabolic risk using modifiable non-self-reported risk factors.

Miguel Marino, Yi Li, Michael J Pencina, Ralph B D'Agostino, Lisa F Berkman, Orfeu M Buxton

Abstract readClinical TrialValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Trial report in American journal of preventive medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Sleep Health and Predicted Cardiometabolic Risk Scores in Employed Adults From Two Industries.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018
    Article
  6. Article
  7. Article
  8. Article
  9. 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

6 authors.

Miguel MarinoDepartment of Family Medicine, Department of Public Health and Preventive Medicine, Division of Biostatistics, Oregon Health Science University, Portland, Oregon. Electronic address: marinom@ohsu.edu.
Yi LiDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Michael J PencinaDuke Clinical Research Institute and Department of Biostatistics and Bioinformatics and Framingham Heart Study, Duke University, Durham, North Carolina.
Ralph B D'AgostinoDepartment of Mathematics/Statistics, Biostatistics and Epidemiology, Boston University.
Lisa F BerkmanHarvard Center for Population and Development Studies, Cambridge, Massachusetts.
Orfeu M BuxtonDepartment of Medicine, Brigham and Women's Hospital, Department of Social and Behavioral Sciences, Harvard School of Public Health, Division of Sleep Medicine, Harvard Medical School Boston; Department of Biobehavioral Health, Pennsylvania State University, University Park, Pennsylvania.

Funding

Workplace Policies and Practices Coordinating CenterU01HD051276 · NICHD · RESEARCH TRIANGLE INSTITUTE · PI KARUNTZOS, GEORGIA TRYPHON · 2005 to 2013
$10.4M
Family Responsive Workplaces &Low-Wage Employee HealthU01AG027669 · NIA · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI BERKMAN, LISA F · 2005 to 2012
$7.5M
Flexible Work and Well-Being Center at the University of MinnesotaU01HD051256 · NICHD · UNIVERSITY OF MINNESOTA TWIN CITIES · PI KELLY, ERIN L. · 2005 to 2013
$6.7M
Work , Stress, Health &Parenting Among Hotel EmployeesU01HD051217 · NICHD · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI ALMEIDA, DAVID M. · 2005 to 2013
$5.7M
Center for Work-Family Stress, Safety & Health: Portland State University RUU01HD059773 · NICHD · PORTLAND STATE UNIVERSITY · PI HAMMER, LESLIE · 2008 to 2012
$4.5M
Health Consequences of Workplace Policies/Practices-CCU01HD051218 · NICHD · KAISER FOUNDATION RESEARCH INSTITUTE · PI HANSON, GINGER C. · 2005 to 2013
$3.0M
Evaluating cardiometabolic and sleep health benefits of a workplace interventionR01HL107240 · NHLBI · PENNSYLVANIA STATE UNIVERSITY, THE · PI BUXTON, ORFEU M · 2011 to 2014
$1.8M
Social protection, work and family strain: disadvantage effects in US and EuropeR01AG040248 · NIA · HARVARD SCHOOL OF PUBLIC HEALTH · PI BERKMAN, LISA F · 2011 to 2015
$1.5M
Development of a Behavioral Measure of Supervisor Suppo*U01OH008788 · OH · PORTLAND STATE UNIVERSITY · PI HAMMER, LESLIE · 2005 to 2007
$893k
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS N01 HC025195NHLBI NIH HHS N01-HC-25195NHLBI NIH HHS R01 HL107240NHLBI NIH HHS R01HL107240NIA NIH HHS R01 AG040248NIA NIH HHS U01 AG027669NIA NIH HHS U01AG027669NICHD NIH HHS U01 HD051217NICHD NIH HHS U01HD051217NICHD NIH HHS U01 HD051218NICHD NIH HHS U01HD051218NICHD NIH HHS U01 HD051256NICHD NIH HHS U01HD051256NICHD NIH HHS U01 HD051276NICHD NIH HHS U01HD051276NICHD NIH HHS U01 HD059773NICHD NIH HHS U01HD059773NIOSH CDC HHS U01 OH008788NIOSH CDC HHS U01OH008788
6 · The paper itself

Abstract

backgroundSensitive general cardiometabolic risk assessment tools of modifiable risk factors would be helpful and practical in a range of primary prevention interventions or for preventive health maintenance. PURPOSE: To develop and validate a cumulative general cardiometabolic risk score that focuses on non-self-reported modifiable risk factors such as glycosylated hemoglobin (HbA1c) and BMI so as to be sensitive to small changes across a span of major modifiable risk factors, which may not individually cross clinical cut-off points for risk categories.

methodsWe prospectively followed 2,359 cardiovascular disease (CVD)-free subjects from the Framingham offspring cohort over a 14-year follow-up. Baseline (fifth offspring examination cycle) included HbA1c and cholesterol measurements. Gender-specific Cox proportional hazards models were considered to evaluate the effects of non-self-reported modifiable risk factors (blood pressure, total cholesterol, high-density lipoprotein cholesterol, smoking, BMI, and HbA1c) on general CVD risk. We constructed 10-year general cardiometabolic risk score functions and evaluated its predictive performance in 2012-2013.

resultsHbA1c was significantly related to general CVD risk. The proposed cardiometabolic general CVD risk model showed good predictive performance as determined by cross-validated discrimination (male C-index=0.703, 95% CI=0.668, 0.734; female C-index=0.762, 95% CI=0.726, 0.801) and calibration (lack-of-fit chi-square=9.05 [p=0.338] and 12.54 [p=0.128] for men and women, respectively).

conclusionsThis study presents a risk factor algorithm that provides a convenient and informative way to quantify cardiometabolic risk on the basis of modifiable risk factors that can motivate an individual's commitment to prevention and intervention.

Indexed as

AdultAlgorithmsCardiovascular DiseasesCohort StudiesFemaleFollow-Up StudiesGlycated HemoglobinHumansMaleMetabolic DiseasesMiddle AgedPredictive Value of TestsPrimary PreventionProportional Hazards ModelsProspective StudiesRisk AssessmentGlycated Hemoglobin

Identifiers

PMID24951039
PMCPMC4107093

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.