Evidence map›Paper›PMID 41059636›Full record

ArticleJournal of the American Heart Association2025

Prognostic Value of the American Heart Association PREVENT Cardiovascular Disease Risk Equations in Cancer Survivorship: A NHANES Population-Based Study (2009-2018).

Mustafa Al-Jarshawi, Ofer Kobo, Dennis T Ko, Harindra C Wijeysundera, M Golam Azam, Victoria Silverwood, Ram Bajpai, Rodrigo Bagur, Mamas A Mamas

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Mustafa Al-JarshawiKeele Cardiovascular Research Group, Centre for Prognosis Research Keele University Stoke-on-Trent United Kingdom.ORCID 0000-0002-4600-2701
Ofer KoboKeele Cardiovascular Research Group, Centre for Prognosis Research Keele University Stoke-on-Trent United Kingdom.ORCID 0000-0001-7418-498X
Dennis T KoSchulich Heart Centre, Sunnybrook Health Sciences Centre University of Toronto Canada.ORCID 0000-0001-6840-8051
Harindra C WijeysunderaSchulich Heart Centre, Sunnybrook Health Sciences Centre University of Toronto Canada.ORCID 0000-0001-8464-1080
M Golam AzamNational Institute of Cardiovascular Diseases (NICVD) Dhaka Bangladesh.
Victoria SilverwoodSchool of Medicine Keele University Stoke-on-Trent United Kingdom.ORCID 0000-0002-6754-7129
Ram BajpaiSchool of Medicine Keele University Stoke-on-Trent United Kingdom.ORCID 0000-0002-1227-2703
Rodrigo BagurDepartment of Cardiology, London Health Sciences Centre Western University London Ontario Canada.ORCID 0000-0003-1888-9429
Mamas A MamasKeele Cardiovascular Research Group, Centre for Prognosis Research Keele University Stoke-on-Trent United Kingdom.ORCID 0000-0001-9241-8890

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe PREVENT (Predicting Risk of CVD Events) equations offer a contemporary tool for estimating long-term cardiovascular risk in the general population. This study evaluates the association of baseline cardiovascular risk, calculated by PREVENT equations, with all-cause and cardiovascular mortality in cancer survivors.

methodsUsing 10 years of data from the National Health and Nutrition Examination Survey (NHANES) (2009-2018), we analyzed a nationally representative cohort of US cancer survivors. Associations with outcomes were evaluated using Kaplan-Meier curves and multivariable Cox models.

resultsA total of 18 722 334 weighted records (2792 unweighted) were analyzed, recording 4 875 627 all-cause deaths (26%) and 1 025 053 cardiovascular deaths (5.5%) over a median follow-up of 9.8 years; 27.84% of cancer survivors were at high baseline cardiovascular risk with variability in baseline cardiovascular risk across different cancer sites. Colon and prostate cancer survivors had the highest prevalence of high cardiovascular risk (54% and 46%, respectively). When compared with low-risk individuals, those at high cardiovascular risk had a nearly 16-fold higher risk of all-cause mortality (adjusted hazard ratio, 15.60 [95% CI, 8.45-28.82];

conclusionsThis study highlights the usefulness of the PREVENT equations for predicting all-cause and cardiovascular mortality in cancer survivors.

Indexed as

American Heart AssociationCancer SurvivorsCardiovascular DiseasesNeoplasmsAdultAgedCause of DeathFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedNutrition SurveysPrognosisRisk AssessmentRisk Factorsbaseline cardiovascular riskcancer survivorscardiovascular mortalityPREVENT equations all‐cause mortality

Identifiers

PMID41059636
PMCPMC12684629

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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.