Evidence map›Paper›PMID 36588665›Full record

ArticleAmerican journal of preventive cardiology2023

Cardiovascular health trajectories and subsequent cardiovascular disease and mortality: The multi-ethnic study of atherosclerosis (MESA).

Qicong Sheng, Jie Ding, Yumin Gao, Reshmi Js Patel, Wendy S Post, Seth S Martin

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

6 authors.

Qicong ShengJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Jie DingCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yumin GaoCiccarone Center for the Prevention of Cardiovascular Disease, Division of Cardiology, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Reshmi Js PatelKrieger School of Arts and Sciences, Johns Hopkins University, Baltimore, MD, USA.
Wendy S PostJohns Hopkins University School of Medicine, Baltimore, MD, USA.
Seth S MartinJohns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Longitudinal trajectories of cardiovascular health (CVH) may reflect vascular risk burden due to prolonged cumulative exposure to non-ideal CVH levels. Identifying individuals who have a higher risk CVH trajectory may facilitate treatment, screening, and prevention. We aimed to characterize 10-year trajectories of CVH and examine the associations between CVH trajectories and subsequent cardiovascular disease (CVD) and mortality. Methods: We analyzed 3674 MESA participants who completed four exams and remained CVD-free from 2000 to 2011. A 12-point CVH score was calculated based on physical activity, smoking status, body mass index, cholesterol, blood pressure, and glucose. Ideal CVH was defined as a score ≥ 9. Group-based trajectory modeling was used to identify trajectories of ideal CVH. Cox models were used to examine the association of CVH trajectories with incident CVD and death from 2011 to 2018, adjusting for age, sex, race/ethnicity, income, education, and marital status. Results: Three trajectories were identified based on the probability of achieving ideal CVH: high ( Conclusion: Persistently nonideal CVH is a common trajectory. Targeted prevention programs might benefit individuals with persistently nonideal CVH given their elevated risk of subsequent CVD and mortality.

Indexed as

Cardiovascular healthLongitudinal trajectories

Identifiers

PMID36588665
PMCPMC9798133

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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.