Evidence map›Paper›PMID 29192146›Full record

ArticleScientific reports2017

Cardiovascular Disease Risk Assessment in the United States and Low- and Middle-Income Countries Using Predicted Heart/Vascular Age.

Duke Appiah, Beatrix D. Capistrant

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. Child Marriage and Cardiovascular Risk: An Application of the Non-laboratory Framingham Risk Score.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Perceived Risk of Cardiovascular Disease and Health Behaviors in Black College Students.Journal of best practices in health professions diversity : research, education and policy · 2019
    Article
  12. Review
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

2 authors.

Duke AppiahDepartment of Public Health, Texas Tech University Health Sciences Center, Abilene, TX, USA. duke.appiah@ttuhsc.edu.
Beatrix D. CapistrantStatistical & Data Sciences, Smith College, Northampton, MA, USA.

Funding

Cardiovascular Disease Epidemiology &Prevention TrngT32HL007779 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PAMELA L. Lutsey, JAMES S PANKOW · 1994 to 2026
$9.3M
NHLBI NIH HHS T32 HL007779
6 · The paper itself

Abstract

Almost 80% of the global burden of cardiovascular disease (CVD) occurs in low- and middle-income countries (LMICs). However, LMICs do not have well-established, low-technology ways to quantify and communicate CVD risk at population or individual levels. We examined predicted heart/vascular age (PHA) in six LMICs and the United States. Data were from CVD-free adults in World Health Organization Study on Global Aging and Adult Health (n = 29094) and US National Health and Nutritional Examination Survey (n = 6726). PHA was calculated using the non-laboratory Framingham CVD risk equation. High excess PHA (HEPHA) was defined as the differences between PHA and chronological age >5 years. Logistic regression models were used to identify factors associated with HEPHA. Age-standardized prevalence of HEPHA was higher in Russia 52%; China 56%; Mexico 59%; and South Africa 65% compared to the US 45%, Ghana 36%; and India 38%. In LMICs, higher income, being divorced/widowed, alcohol intake and abdominal obesity had higher odds of HEPHA; higher education, fruit intake and physical activity had lower odds of HEPHA. The use of PHA may offer a useful avenue to communicate CVD risk. Interventions tailored at socioeconomic and cultural factors that influence CVD risk factors may be necessary to prevent CVD in LMICs.

Indexed as

AdultAgedCardiovascular DiseasesDeveloping CountriesFemaleGlobal HealthHumansMaleMiddle AgedOdds RatioPopulation SurveillancePrevalenceRisk AssessmentRisk FactorsSocioeconomic FactorsUnited States

Identifiers

PMID29192146
PMCPMC5709399

What OpenQuestion holds

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LicenceCC BY
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.