Evidence map›Paper›PMID 34167764›Full record

ArticleThe Lancet. Digital health2021

Association between change in cardiovascular risk scores and future cardiovascular disease: analyses of data from the Whitehall II longitudinal, prospective cohort study.

Joni V Lindbohm, Pyry N Sipilä, Nina Mars, Anika Knüppel, Jaana Pentti, Solja T Nyberg, Philipp Frank, Sara Ahmadi-Abhari, Eric J Brunner, Martin J Shipley and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in The Lancet. Digital health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07039123 (Polygenic Risk Score to Optimize Primary Prevention in Intermediate Risk Population), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.8field-weighted citation impact, top 6% of its field
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.

NCT07039123 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

Polygenic Risk Score to Optimize Primary Prevention in Intermediate Risk Population (PERSONAL)

TypeinterventionalSponsorUniversity of BernRan2025 to 2027Enrolled205ConditionsPrimary Prevention of Cardiovascular DiseaseArmsPolygenic Risk Score for Coronary Artery Disease (PRS-CAD), Standardized Risk Communication Tool (SCORE2)
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Age at cardiovascular disease onset, dementia risk, and the role of lifestyle factors.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. 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

14 authors at 9 institutions in 5 countries.

Joni V LindbohmClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland; Department of Epidemiology and Public Health, University College London, London, UK. Electronic address: joni.lindbohm@helsinki.fi.
Pyry N SipiläClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland; Helsinki Institute of Life Science, University of Helsinki, Helsinki, Finland.
Nina MarsInstitute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
Anika KnüppelCancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Jaana PenttiClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland; Department of Public Health, University of Turku, Turku, Finland.
Solja T NybergClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland.
Philipp FrankDepartment of Epidemiology and Public Health, University College London, London, UK.
Sara Ahmadi-AbhariAgeing Epidemiology Research Unit, Imperial College London, London, UK.
Eric J BrunnerDepartment of Epidemiology and Public Health, University College London, London, UK.
Martin J ShipleyDepartment of Epidemiology and Public Health, University College London, London, UK.
Archana Singh-ManouxDepartment of Epidemiology and Public Health, University College London, London, UK; Université de Paris, Inserm U1153, Epidemiology of Ageing and Neurodegenerative diseases, Paris, France.
Adam G TabakDepartment of Epidemiology and Public Health, University College London, London, UK; 1st Department of Medicine, Semmelweis University Faculty of Medicine, Budapest, Hungary.
G David BattyDepartment of Epidemiology and Public Health, University College London, London, UK; School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR, USA.
Mika KivimäkiClinicum, Department of Public Health, University of Helsinki, Helsinki, Finland; Department of Epidemiology and Public Health, University College London, London, UK.
University of Helsinki · FIUniversity College London · GBImperial College London · GBInserm · FRInstitute for Molecular Medicine Finland · FIOregon State University · USSemmelweis University · HUUniversity of Oxford · GBUniversity of Turku · FI

Funding

Education, socioeconomic status and Aging: transitions from multimorbidity to functional limitations and mortalityR01AG056477 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2018 to 2022
$2.8M
Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R01AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2017 to 2021
$1.9M
Health behaviors over the adult lifecourse and cognitive agingR01AG034454 · NIA · UNIVERSITY COLLEGE LONDON · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2009 to 2013
$1.5M
Role of mid- and late-life risk factors in social inequalities in Alzheimer's Disease and Related DementiasRF1AG062553 · NIA · INSERM PARIS 5 · PI KIVIMAKI, MIKA J, SINGH-MANOUX, ARCHANA · 2019 to 2019
$1.5M
Healthy transitions from mid-life to early older age: biomedical follow-up of 1958 Birth Cohort Study members at age 60R56AG052519 · NIA · UNIVERSITY COLLEGE LONDON · PI BATTY, DAVID, GOODMAN, ALISSA · 2016 to 2016
$500k
British Heart Foundation 32334British Heart Foundation RG/16/11/32334Medical Research Council K013351Medical Research Council MR/P023444/1Medical Research Council MR/R024227/1Medical Research Council R024227NIA NIH HHS R01 AG034454NIA NIH HHS R01 AG052519NIA NIH HHS R01 AG056477NIA NIH HHS R56 AG052519NIA NIH HHS RF1 AG062553Wellcome TrustWellcome Trust 221854/Z/20/Z
6 · The paper itself

Abstract

backgroundEvaluation of cardiovascular disease risk in primary care, which is recommended every 5 years in middle-aged and older adults (typical age range 40-75 years), is based on risk scores, such as the European Society of Cardiology Systematic Coronary Risk Evaluation (SCORE) and American College of Cardiology/American Heart Association Atherosclerotic Cardiovascular Disease (ASCVD) algorithms. This evaluation currently uses only the most recent risk factor assessment. We aimed to examine whether 5-year changes in SCORE and ASCVD risk scores are associated with future cardiovascular disease risk.

methodsWe analysed data from the Whitehall II longitudinal, prospective cohort study for individuals with no history of stroke, myocardial infarction, coronary artery bypass graft, percutaneous coronary intervention, definite angina, heart failure, or peripheral artery disease. Participants underwent clinical examinations in 5-year intervals between Aug 7, 1991, and Dec 6, 2016, and were followed up for incident cardiovascular disease until Oct 2, 2019. Levels of, and 5-year changes in, cardiovascular disease risk were assessed using the SCORE and ASCVD risk scores and were analysed as predictors of cardiovascular disease. Harrell's C index, continuous net reclassification improvement, the Akaike information criterion, and calibration analysis were used to assess whether incorporating change in risk scores into a model including only a single risk score assessment improved the predictive performance. We assessed the levels of, and 5-year changes in, SCORE and ASCVD risk scores as predictors of cardiovascular disease and disease-free life-years using Cox proportional hazards and flexible parametric survival models.

findings7574 participants (5233 [69·1%] men, 2341 [30·9%] women) aged 40-75 years were included in analyses of risk score change between April 24, 1997, and Oct 2, 2019. During a mean follow-up of 18·7 years (SD 5·5), 1441 (19·0%; 1042 [72·3%] men and 399 [27·7%] women) participants developed cardiovascular disease. Adding 5-year change in risk score to a model that included only a single risk score assessment improved model performance according to Harrell's C index (from 0·685 to 0·690, change 0·004 [95% CI 0·000 to 0·008] for SCORE; from 0·699 to 0·700, change 0·001 [0·000 to 0·003] for ASCVD), the Akaike information criterion (from 17 255 to 17 200, change -57 [95% CI -97 to -13] for SCORE; from 14 739 to 14 729, change -10 [-28 to 7] for ASCVD), and the continuous net reclassification index (0·353 [95% CI 0·234 to 0·447] for SCORE; 0·232 [0·030 to 0·344] for ASCVD). Both favourable and unfavourable changes in SCORE and ASCVD were associated with cardiovascular disease risk and disease-free life-years. The associations were seen in both sexes and all age groups up to the age of 75 years. At the age of 45 years, each 2-unit improvement in risk scores was associated with an additional 1·3 life-years (95% CI 0·4 to 2·2) free of cardiovascular disease for SCORE and an additional 0·9 life-years (95% CI 0·5 to 1·3) for ASCVD. At age 65 years, this same improvement was associated with an additional 0·4 life-years (95% CI 0·0 to 0·7) free of cardiovascular disease for SCORE and 0·3 life-years (95% CI 0·1 to 0·5) for ASCVD. These models were developed into an interactive calculator, which enables estimation of the number of cardiovascular disease-free life-years for an individual as a function of two risk score measurements.

interpretationChanges in the SCORE and ASCVD risk scores over time inform cardiovascular disease risk prediction beyond a single risk score assessment. Repeat data might allow more accurate cardiovascular risk stratification and strengthen the evidence base for decisions on preventive interventions.

fundingUK Medical Research Council, British Heart Foundation, Wellcome Trust, and US National Institute on Aging.

Indexed as

Heart Disease Risk FactorsAdultAgedCardiovascular DiseasesCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedPrognosisProspective StudiesRisk FactorsUnited States

Identifiers

PMID34167764
PMCPMC8474012
OpenAlexW3175059963

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.