Evidence map›Paper›PMID 40391444›Full record

ArticleCirculation. Arrhythmia and electrophysiology2025

Validation of a Novel Risk Prediction Score for Sudden Cardiac Death in the Framingham Heart Study.

Thien Tan Tri Tai Truyen, Honghuang Lin, Marco Mathias, Harpriya Chugh, Kyndaron Reinier, Emelia J Benjamin, Sumeet S Chugh

Abstract readValidation Study
In one paragraph

Article in Circulation. Arrhythmia and electrophysiology, 2025. 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.

  1. Observational
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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.

Thien Tan Tri Tai TruyenCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA (T.T.T.T.T., M.M., H.C., K.R., S.S.C.).ORCID 0000-0001-8129-2532
Honghuang LinDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester (H.L.).ORCID 0000-0003-3043-3942
Marco MathiasCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA (T.T.T.T.T., M.M., H.C., K.R., S.S.C.).
Harpriya ChughCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA (T.T.T.T.T., M.M., H.C., K.R., S.S.C.).ORCID 0000-0002-6581-4246
Kyndaron ReinierCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA (T.T.T.T.T., M.M., H.C., K.R., S.S.C.).ORCID 0000-0002-2588-6827
Emelia J BenjaminBoston University and National Heart, Lung, and Blood Institute's Framingham Heart Study, MA (E.J.B.).ORCID 0000-0003-4076-2336
Sumeet S ChughCenter for Cardiac Arrest Prevention, Smidt Heart Institute, Cedars-Sinai Health System, Los Angeles, CA (T.T.T.T.T., M.M., H.C., K.R., S.S.C.).ORCID 0000-0002-4417-5326

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
IDENTIFICATION OF COMMON GENETIC VARIANTS FOR ATRIAL FIBRILLATION AND PR INTERVALR01HL092577 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI BENJAMIN, EMELIA J., ELLINOR, PATRICK THOMAS · 2009 to 2025
$20.6M
Prediction of imminent sudden cardiac death based on warning signsR01HL147358 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2020 to 2023
$3.2M
Sudden Cardiac Death with Preserved Left Ventricular Ejection FractionR01HL126938 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2016 to 2019
$2.6M
Community-Based Evaluation of Sudden Cardiac Death in Hispanics/LatinosR01HL145675 · NHLBI · CEDARS-SINAI MEDICAL CENTER · PI CHUGH, SUMEET S. · 2019 to 2023
$2.4M
THE FRAMINGHAM HEART STUDY-N01HC25195-268025195-268025195N01HC025195 · HC · TRUSTEES OF BOSTON UNIVERSITY · PI WOLF, PHILIP A · 2002 to 2006
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NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS N01 HC025195NHLBI NIH HHS R01 HL092577NHLBI NIH HHS R01 HL126938NHLBI NIH HHS R01 HL145675NHLBI NIH HHS R01 HL147358
6 · The paper itself

Abstract

backgroundWe have previously reported a novel clinical risk score (risk prediction score for shockable sudden cardiac arrest [VFRisk]) for the prediction of shockable sudden cardiac arrest, discovered and validated in 2 US west coast communities. We hypothesized that VFRisk predicts sudden cardiac death (SCD) risk in the geographically distinct FHS (Framingham Heart Study).

methodsWe performed a nested case-referents study in the FHS to test VFRisk. Cases were participants who experienced SCD among the original and offspring FHS cohorts. Referents were randomly selected from FHS participants frequency-matched (ratio of 1:3) to cases on age, sex, cohort, and exam. VFRisk was the sum of 12 risk factors, each multiplied by its respective points.

resultsAmong 312 cases and 935 referents, mean ages were 69.5 and 69.7 years with 70.8% men in both groups. SCD cases had significantly higher prevalence of diabetes, heart failure, stroke, atrial fibrillation, and myocardial infarction compared with the referents group. The VFRisk score was validated with good discrimination (C-statistic, 0.71 [95% CI, 0.66-0.77]) for SCD. Cases had higher VFRisk scores than referents (3.8±2.8 versus 1.8±1.7;

conclusionsThe VFRisk score successfully predicted SCD in the FHS. The differences in discrimination between the 2 studies could partially be explained by the inability to distinguish shockable versus nonshockable events in the FHS.

Indexed as

Death, Sudden, CardiacDecision Support TechniquesAgedCase-Control StudiesFemaleHumansMaleMassachusettsMiddle AgedPredictive Value of TestsPrevalencePrognosisReproducibility of ResultsRisk AssessmentRisk Factorsrisk factorssudden cardiac deathvalidation studyventricular function, left

Identifiers

PMID40391444
PMCPMC12173765

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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.