Evidence map›Paper›PMID 37947094›Full record

ReviewCirculation2023

Novel Prediction Equations for Absolute Risk Assessment of Total Cardiovascular Disease Incorporating Cardiovascular-Kidney-Metabolic Health: A Scientific Statement From the American Heart Association.

Sadiya S Khan, Josef Coresh, Michael J Pencina, Chiadi E Ndumele, Janani Rangaswami, Sheryl L Chow, Latha P Palaniappan, Laurence S Sperling, Salim S Virani, Jennifer E Ho and 6 more

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Circulation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07789132 (Evaluation of Community Health Worker Support to Improve Tobacco Use Disorder Outcomes in Medicaid Beneficiaries With Serious Mental Illness), which is not on this map. Cited by 459 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
459citing papers in PubMed, 5 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.

NCT07789132 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Evaluation of Community Health Worker Support to Improve Tobacco Use Disorder Outcomes in Medicaid Beneficiaries With Serious Mental Illness

TypeinterventionalSponsorMassachusetts General HospitalRan2026 to 2030Enrolled937ConditionsNicotine Dependance, Serious Mental Illness, Smoking (Tobacco) Addiction, Tobacco CessationArmsIntegrated CHW Support intervention, Enhanced usual care (EUC)
3 · Its place in the literature

Who cites it

459 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  19. Introduction to the Bridging Cardiovascular and Kidney Health Series.Clinical journal of the American Society of Nephrology : CJASN · 2026
    Article
  20. Review

399 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Josef Coresh
Michael J Pencina
Chiadi E Ndumele
Janani Rangaswami
Sheryl L Chow
Latha P Palaniappan
Laurence S Sperling
Salim S Virani
Jennifer E Ho
Ian J Neeland
Katherine R Tuttle
Radhika Rajgopal Singh
Mitchell S V Elkind
Donald M Lloyd-Jones
American Heart Association

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular-kidney-metabolic (CKM) syndrome is a novel construct recently defined by the American Heart Association in response to the high prevalence of metabolic and kidney disease. Epidemiological data demonstrate higher absolute risk of both atherosclerotic cardiovascular disease (CVD) and heart failure as an individual progresses from CKM stage 0 to stage 3, but optimal strategies for risk assessment need to be refined. Absolute risk assessment with the goal to match type and intensity of interventions with predicted risk and expected treatment benefit remains the cornerstone of primary prevention. Given the growing number of therapies in our armamentarium that simultaneously address all 3 CKM axes, novel risk prediction equations are needed that incorporate predictors and outcomes relevant to the CKM context. This should also include social determinants of health, which are key upstream drivers of CVD, to more equitably estimate and address risk. This scientific statement summarizes the background, rationale, and clinical implications for the newly developed sex-specific, race-free risk equations: PREVENT (AHA Predicting Risk of CVD Events). The PREVENT equations enable 10- and 30-year risk estimates for total CVD (composite of atherosclerotic CVD and heart failure), include estimated glomerular filtration rate as a predictor, and adjust for competing risk of non-CVD death among adults 30 to 79 years of age. Additional models accommodate enhanced predictive utility with the addition of CKM factors when clinically indicated for measurement (urine albumin-to-creatinine ratio and hemoglobin A1c) or social determinants of health (social deprivation index) when available. Approaches to implement risk-based prevention using PREVENT across various settings are discussed.

Indexed as

AtherosclerosisCardiovascular DiseasesHeart FailureAdultAmerican Heart AssociationFemaleHumansKidneyMaleRisk AssessmentRisk FactorsUnited StatesAHA Scientific Statementscardiovascular diseasesheart failurekidney diseasesmetabolic syndromemodels, cardiovascularrisk assessmentsocial determinants of health

Identifiers

What OpenQuestion holds

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Registered trials

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.