Evidence map›Paper›PMID 39217477›Full record

ArticleEuropean heart journal2025

Risk prediction of cardiovascular disease in the Asia-Pacific region: the SCORE2 Asia-Pacific model.

SCORE2 Asia-Pacific writing group, Steven H J Hageman, Zijuan Huang, Hokyou Lee, Stephen Kaptoge, Jannick A N Dorresteijn, Lisa Pennells, Emanuele Di Angelantonio, Frank L J Visseren, Hyeon Chang Kim and 4 more

Abstract readMulticenter Study
In one paragraph

Article in European heart journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

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  9. Lipoprotein(a) in Essential Hypertension: Associations with Blood Pressure and Hypertension-Mediated Organ Damage.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 2026
    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

14 authors.

SCORE2 Asia-Pacific writing group
Steven H J HagemanDepartment of Vascular Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.ORCID 0000-0003-2299-6745
Zijuan HuangCardiology, National Heart Centre Singapore, Singapore.
Hokyou LeeDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Stephen KaptogeCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-1155-4872
Jannick A N DorresteijnDepartment of Vascular Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
Lisa PennellsCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0002-8594-3061
Emanuele Di AngelantonioCardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK.ORCID 0000-0001-8776-6719
Frank L J VisserenDepartment of Vascular Medicine, University Medical Center Utrecht, PO Box 85500, 3508 GA, Utrecht, The Netherlands.
Hyeon Chang KimDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Sofian JoharPAPRSB Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong BE1410, Brunei Darussalam.
European Society of Cardiology and European Association of Preventive Cardiology: Cardiovascular Risk Collaboration (ESC CRC)
ASEAN Federation of Cardiology (AFC)
Asian-Pacific Society of Cardiology (APSC)

Funding

Abbott Australasia Pty LtdAlphapharm Pty LtdAmgen AustraliaAstraZenecaAustralian Government Department of Health and AgeingAustralian Stroke and Heart Research Accelerator Centre Targeted Translation Research AcceleratorBristol-Myers SquibbBritish Heart Foundation RG/13/13/30194City Health Centre-Diabetes Service-CanberraDepartment of Health and Community Services-Northern TerritoryDepartment of Health and Human Services-TasmaniaDepartment of Health-New South WalesDepartment of Health-South AustraliaDepartment of Health-Western AustraliaDepartment of Human Services-VictoriaDiabetes AustraliaDiabetes Australia Northern TerritoryDiabetes PhilippinesDutch Heart Foundation 03-006-2023-0095Eli Lilly AustraliaEstate of the Late Edward WilsonGlaxoSmithKlineJack Brockhoff FoundationJanssen-CilagKidney Health AustraliaKorea Ministry of Science and ICT 2022R1F1A1066181LRI TherapharmaMarian & FH Flack TrustMedical Research Council MR/L003120/1Menzies Research InstituteMerck Sharp & DohmeNational Health and Medical Research Council 233200National Health and Medical Research Council Investigator GrantsNational Key Research and Development Program of China 2020YFC2003503National Medical Research Council (NMRC)National Natural Science Foundation of China (NSFC) 82373662National University of Singapore and National University Health System, SingaporeNovartis PharmaceuticalsNovo Nordisk PharmaceuticalsPfizer Pty LtdPratt FoundationQueensland HealthRoche Diagnostics AustraliaRoyal Prince Alfred Hospital, SydneySanofi AventissanofisynthelaboSingapore Ministry of Health (Population Health Metrics Population Health Metrics and Analytics PHMA)the Biomedical Research Council (BMRC) of Singaporethe Electricity Generating Authority of Thailandthe Faculty of Medicine Ramathibodi Hospital, Mahidol Universitythe National Research Council of Thailandthe Office of the Higher Education Commissionthe Philippine Council for Health Research and Developmentthe Philippine Heart Associationthe Philippine Lipid and Atherosclerosis Societythe Philippine Society of Hypertensionthe project for Higher Education Research Promotion and National Research University Developmentthe Thailand Research Fundthe Victorian Government's OIS Program
6 · The paper itself

Abstract

BACKGROUND AND

aimsTo improve upon the estimation of 10-year cardiovascular disease (CVD) event risk for individuals without prior CVD or diabetes mellitus in the Asia-Pacific region by systematic recalibration of the SCORE2 risk algorithm.

methodsThe sex-specific and competing risk-adjusted SCORE2 algorithms were systematically recalibrated to reflect CVD incidence observed in four Asia-Pacific risk regions, defined according to country-level World Health Organization age- and sex-standardized CVD mortality rates. Using the same approach as applied for the original SCORE2 models, recalibration to each risk region was completed using expected CVD incidence and risk factor distributions from each region.

resultsRisk region-specific CVD incidence was estimated using CVD mortality and incidence data on 8 405 574 individuals (556 421 CVD events). For external validation, data from 9 560 266 individuals without previous CVD or diabetes were analysed in 13 prospective studies from 12 countries (350 550 incident CVD events). The pooled C-index of the SCORE2 Asia-Pacific algorithms in the external validation datasets was .710 [95% confidence interval (CI) .677-.744]. Cohort-specific C-indices ranged from .605 (95% CI .597-.613) to .840 (95% CI .771-.909). Estimated CVD risk varied several-fold across Asia-Pacific risk regions. For example, the estimated 10-year CVD risk for a 50-year-old non-smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and high-density lipoprotein cholesterol of 1.3 mmol/L, ranged from 7% for men in low-risk countries to 14% for men in very-high-risk countries, and from 3% for women in low-risk countries to 13% for women in very-high-risk countries.

conclusionsThe SCORE2 Asia-Pacific algorithms have been calibrated to estimate 10-year risk of CVD for apparently healthy people in Asia and Oceania, thereby enhancing the identification of individuals at higher risk of developing CVD across the Asia-Pacific region.

Indexed as

Cardiovascular DiseasesAdultAgedAlgorithmsAsiaFemaleHeart Disease Risk FactorsHumansIncidenceMaleMiddle AgedPacific IslandsProspective StudiesRisk AssessmentRisk FactorsCardiovascular diseasePrimary preventionRisk predictionTen-year CVD risk

Identifiers

PMID39217477
PMCPMC11842970

What OpenQuestion holds

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Registered trials

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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.