Evidence map›Paper›PMID 33987646›Full record

ArticleAmerican journal of epidemiology2021

Development and Validation of a Large Synthetic Cohort for the Study of Cardiovascular Health Across the Life Span.

Hongyan Ning, Amy Krefman, Lihui Zhao, John T Wilkins, Donald M Lloyd-Jones, Juned Siddique, Norrina B Allen

Abstract readValidation Study
In one paragraph

Article in American journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
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  4. Review
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  9. Aging, Race, and Health Disparities: Recommendations From the Research Centers Collaborative Network.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
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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

7 authors.

Hongyan Ning
Amy Krefman
Lihui Zhao
John T Wilkins
Donald M Lloyd-Jones
Juned Siddique
Norrina B Allen

Funding

Combining longitudinal cohort studies to examine cardiovascular risk factor trajectories across the adult lifespan and their association with diseaseR01HL158963 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DANIELS, MICHAEL J, SIDDIQUE, JUNED · 2021 to 2024
$2.3M
Long-Term Patterns in Cardiovascular Risk Factors and Their Time-Varying Impact on the Incidence of Cardiovascular DiseaseR21HL129022 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ALLEN, NORRINA BAI · 2015 to 2016
$232k
NHLBI NIH HHS R01 HL158963NHLBI NIH HHS R21 HL129022
6 · The paper itself

Abstract

We developed and validated a synthetic cohort approach to examine numbers of cardiovascular risk factors (CRFs) and adverse clinical events, including incident cardiovascular disease and all-cause mortality, across the life span from ages 20 years to 90 years. The current analysis included 40,875 participants from 7 large, population-based longitudinal epidemiologic studies (1948-2016). On the basis of a joint multilevel imputation model, we multiply imputed each participant's life-span numbers of CRFs and events using available records. To validate the imputed values, we partially removed the observed data and then compared the imputed and observed values. The complete life-span synthetic data set reflected the original observed data trends well. In our validation sample, the distributions of imputed CRFs and events were close to the observed distributions but with less variability. Bland-Altman plots indicated that there was a slightly negative trend in general, and the agreement bias was relatively small for the continuous CRFs. The hypothetical linear regression model suggested that the relationships between the CRFs and events were preserved in the imputed data set. This approach generated valid estimates of CRFs and events across the life span for African-American and White participants. The synthetic cohort may be sufficiently accurate to be useful in assessing the origins and timing of accumulating cardiovascular risk that can inform efforts to avoid cardiovascular disease development.

Indexed as

Data Interpretation, StatisticalAdultAgedAged, 80 and overBlack or African AmericanCardiovascular DiseasesCause of DeathCohort StudiesFemaleHeart Disease Risk FactorsHumansLinear ModelsLongevityLongitudinal StudiesMaleMiddle Agedcardiovascular diseasecardiovascular risk factorslifetime riskmultiple imputationpooling projectssynthetic cohorts

Identifiers

PMID33987646
PMCPMC8633456

What OpenQuestion holds

Textmetadata
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.