Evidence map›Paper›PMID 27324491›Full record

ArticleCirculation2016

Sick Populations and Sick Subpopulations: Reducing Disparities in Cardiovascular Disease Between Blacks and Whites in the United States.

Yuan Lu, Majid Ezzati, Eric B Rimm, Kaveh Hajifathalian, Peter Ueda, Goodarz Danaei

Abstract read
In one paragraph

Article in Circulation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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.

Yuan LuFrom Center for Outcomes Research and Evaluation (CORE), Yale/Yale-New Haven Hospital, New Haven, CT (Y.L.); MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK (M.E.); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (E.B.R.); Departments of Epidemiology (E.B.R., G.D.), Nutrition (E.B.R.), and Global Health and Population (P.U., G.D.), Harvard TH Chan School of Public Health, Boston, MA; and Department of Internal Medicine, Cleveland Clinic, Cleveland, OH (K.H.).
Majid EzzatiFrom Center for Outcomes Research and Evaluation (CORE), Yale/Yale-New Haven Hospital, New Haven, CT (Y.L.); MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK (M.E.); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (E.B.R.); Departments of Epidemiology (E.B.R., G.D.), Nutrition (E.B.R.), and Global Health and Population (P.U., G.D.), Harvard TH Chan School of Public Health, Boston, MA; and Department of Internal Medicine, Cleveland Clinic, Cleveland, OH (K.H.).
Eric B RimmFrom Center for Outcomes Research and Evaluation (CORE), Yale/Yale-New Haven Hospital, New Haven, CT (Y.L.); MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK (M.E.); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (E.B.R.); Departments of Epidemiology (E.B.R., G.D.), Nutrition (E.B.R.), and Global Health and Population (P.U., G.D.), Harvard TH Chan School of Public Health, Boston, MA; and Department of Internal Medicine, Cleveland Clinic, Cleveland, OH (K.H.).
Kaveh HajifathalianFrom Center for Outcomes Research and Evaluation (CORE), Yale/Yale-New Haven Hospital, New Haven, CT (Y.L.); MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK (M.E.); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (E.B.R.); Departments of Epidemiology (E.B.R., G.D.), Nutrition (E.B.R.), and Global Health and Population (P.U., G.D.), Harvard TH Chan School of Public Health, Boston, MA; and Department of Internal Medicine, Cleveland Clinic, Cleveland, OH (K.H.).
Peter UedaFrom Center for Outcomes Research and Evaluation (CORE), Yale/Yale-New Haven Hospital, New Haven, CT (Y.L.); MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK (M.E.); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (E.B.R.); Departments of Epidemiology (E.B.R., G.D.), Nutrition (E.B.R.), and Global Health and Population (P.U., G.D.), Harvard TH Chan School of Public Health, Boston, MA; and Department of Internal Medicine, Cleveland Clinic, Cleveland, OH (K.H.).
Goodarz DanaeiFrom Center for Outcomes Research and Evaluation (CORE), Yale/Yale-New Haven Hospital, New Haven, CT (Y.L.); MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK (M.E.); Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (E.B.R.); Departments of Epidemiology (E.B.R., G.D.), Nutrition (E.B.R.), and Global Health and Population (P.U., G.D.), Harvard TH Chan School of Public Health, Boston, MA; and Department of Internal Medicine, Cleveland Clinic, Cleveland, OH (K.H.). gdanaei@hsph.harvard.edu.

Funding

Reducing disparities in diabetes through expanded insurance coverage.R01DK090435 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI DANAEI, GOODARZ · 2011 to 2014
$1.8M
MRCNIDDK NIH HHS R01 DK090435Wellcome Trust 100693
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) death rates are much higher in blacks than whites in the United States. It is unclear how CVD risk and events are distributed among blacks versus whites and how interventions reduce racial disparities.

methodsWe developed risk models for fatal and for fatal and nonfatal CVD using 8 cohorts in the United States. We used 6154 adults who were 50 to 69 years of age in the National Health and Nutrition Examination Survey 1999 to 2012 to estimate the distributions of risk and events in blacks and whites. We estimated the total and disparity impacts of a range of population-wide, targeted, and risk-based interventions on 10-year CVD risks and event rates.

resultsTwenty-five percent (95% confidence interval [CI], 22-28) of black men and 12% (95% CI, 10-14) of black women were at ≥6.67% risk of fatal CVD (almost equivalent to 20% risk of fatal or nonfatal CVD) compared with 10% (95% CI, 8-12) of white men and 3% (95% CI, 2-4) of white women. These high-risk individuals accounted for 55% (95% CI, 49-59) of CVD deaths among black men and 42% (95% CI, 35-46) in black women compared with 30% (95% CI, 24-35) in white men and 18% (95% CI, 13-22) in white women. We estimated that an intervention that treated multiple risk factors in high-risk individuals could reduce black-white difference in CVD death rate from 1659 to 1244 per 100 000 in men and from 1320 to 897 in women. Rates of fatal and nonfatal CVD were generally similar between black and white men. In women, a larger proportion of women were at ≥7.5% risk of CVD (30% versus 19% in whites), and an intervention that targeted multiple risk factors among this group was estimated to reduce black-white differences in CVD rates from 1688 to 1197 per 100 000.

conclusionsA substantially larger proportion of blacks have a high risk of fatal CVD and bear a large share of CVD deaths. A risk-based intervention that reduces multiple risk factors could substantially reduce overall CVD rates and racial disparities in CVD death rates.

Indexed as

Black PeopleHealthcare DisparitiesPopulation SurveillanceWhite PeopleAgedBlack or African AmericanCardiovascular DiseasesFemaleHumansMaleMiddle AgedMortalityNutrition SurveysUnited Statescardiovascular diseaseshealth status disparitiesprevention and controlriskrisk factors

Identifiers

PMID27324491
PMCPMC5001154

What OpenQuestion holds

Textmetadata
LicenceTDM
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.