Evidence map›Paper›PMID 19958966›Full record

ArticleJournal of the American College of Cardiology2009

Improving global vascular risk prediction with behavioral and anthropometric factors. The multiethnic NOMAS (Northern Manhattan Cohort Study).

Ralph L Sacco, Minesh Khatri, Tatjana Rundek, Qiang Xu, Hannah Gardener, Bernadette Boden-Albala, Marco R Di Tullio, Shunichi Homma, Mitchell S V Elkind, Myunghee C Paik

Open access · greenAbstract read
In one paragraph

Article in Journal of the American College of Cardiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 4 pooled it
5.6field-weighted citation impact, top 4% 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

66 citing papers in PubMed, 4 syntheses or guidelines pooled it, 105 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Pooled it
  5. Trial
  6. Trial
  7. Article
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    Article
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6 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Ralph L SaccoDepartment of Neurology, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA. rsacco@med.miami.edu
Minesh Khatri
Tatjana Rundek
Qiang Xu
Hannah Gardener
Bernadette Boden-Albala
Marco R Di Tullio
Shunichi Homma
Mitchell S V Elkind
Myunghee C Paik
Columbia University · USUniversity of Miami · US

Funding

STROKE INCIDENCE AND RISK FACTORS IN A TRI-ETHNIC REGIONR01NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 1993 to 2019
$19.2M
Stroke Incidence and Risk Factors in a Tri-Ethnic RegionR37NS029993 · NINDS · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI ELKIND, MITCHELL S, SACCO, RALPH L. · 2008 to 2014
$12.1M
NINDS NIH HHS R01 NS029993NINDS NIH HHS R01 NS 29993NINDS NIH HHS R37 NS029993
6 · The paper itself

Abstract

objectivesThis study sought to improve global vascular risk prediction with behavioral and anthropometric factors.

backgroundFew cardiovascular risk models are designed to predict the global vascular risk of myocardial infarction, stroke, or vascular death in multiethnic individuals, and existing schemes do not fully include behavioral risk factors.

methodsA randomly derived, population-based, prospective cohort of 2,737 community participants free of stroke and coronary artery disease was followed up annually for a median of 9.0 years in the NOMAS (Northern Manhattan Study) (mean age 69 years, 63.2% women, 52.7% Hispanic, 24.9% African American, and 19.9% white). A global vascular risk score (GVRS) predictive of stroke, myocardial infarction, or vascular death was developed by adding variables to the traditional Framingham cardiovascular variables based on the likelihood ratio criteria. Model utility was assessed through receiver-operating characteristics, calibration, and effect on reclassification of subjects.

resultsVariables that significantly added to the traditional Framingham profile included waist circumference, alcohol consumption, and physical activity. Continuous measures for blood pressure and fasting blood sugar were used instead of hypertension and diabetes. Ten-year event-free probabilities were 0.95 for the first quartile of GVRS, 0.89 for the second quartile, 0.79 for the third quartile, and 0.56 for the fourth quartile. The addition of behavioral factors in our model improved prediction of 10-year event rates compared with a model restricted to the traditional variables.

conclusionsA GVRS that combines traditional, behavioral, and anthropometric risk factors; uses continuous variables for physiological parameters; and is applicable to nonwhite subjects could improve primary prevention strategies.

Indexed as

AnthropometryBehaviorAgedCardiovascular DiseasesFemaleHumansMaleModels, StatisticalProspective StudiesRisk Assessment

Identifiers

PMID19958966
PMCPMC2812026
OpenAlexW1498763568

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.