Evidence map›Paper›PMID 37061672›Full record

ArticleBMC cardiovascular disorders2023

External validation of the QLifetime cardiovascular risk prediction tool: population cohort study.

Shona Livingstone, Daniel R Morales, Jacques Fleuriot, Peter T Donnan, Bruce Guthrie

Open access · goldAbstract read
In one paragraph

Article in BMC cardiovascular disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 10% 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.

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 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. The value of pregnancy-related factors in the prediction of cardiovascular disease: a systematic review.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Review
  6. Review
  7. Review
  8. 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

5 authors at 2 institutions in 1 country.

Shona LivingstoneDivision of Population Health and Genomics, University of Dundee, Dundee, UK.
Daniel R MoralesDivision of Population Health and Genomics, University of Dundee, Dundee, UK.
Jacques FleuriotSchool of Informatics, University of Edinburgh, Edinburgh, UK.
Peter T DonnanSchool of Informatics, University of Edinburgh, Edinburgh, UK.
Bruce GuthrieAdvanced Care Research Centre, Usher Institute, University of Edinburgh, Old Medical School, University of Edinburgh, Doorway 3, Teviot Place, Edinburgh, EH8 9AG, UK. bruce.guthrie@ed.ac.uk.ORCID 0000-0003-4191-4880
University of Edinburgh · GBUniversity of Dundee · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

backgroundPrediction of lifetime cardiovascular disease (CVD) risk is recommended in many clinical guidelines, but lifetime risk models are rarely externally validated. The aim of this study was to externally validate the QRiskLifetime incident CVD risk prediction tool.

methodsIndependent external validation of QRiskLifetime using Clinical Practice Research Datalink data, examining discrimination and calibration in the whole population and stratified by age, and reclassification compared to QRISK3. Since lifetime CVD risk is unobservable, performance was evaluated at 10-years' follow-up, and lifetime performance inferred in terms of performance for in the different age-groups from which lifetime predictions are derived.

resultsOne million, two hundreds sixty thousand and three hundreds twenty nine women and 1,223,265 men were included in the analysis. Discrimination was excellent in the whole population (Harrell's-C = 0.844 in women, 0.808 in men), but moderate to poor stratified by age-group (Harrell's C in people aged 30-44 0.714 for both men and women, in people aged 75-84 0.578 in women and 0.556 in men). Ten-year CVD risk was under-predicted in the whole population, and in all age-groups except women aged 45-64, with worse under-prediction in older age-groups. Compared to those at highest QRISK3 estimated 10-year risk, those with highest lifetime risk were younger (mean age: women 50.5 vs. 71.3 years; men 46.3 vs. 63.8 years) and had lower systolic blood pressure and prevalence of treated hypertension, but had more family history of premature CVD, and were more commonly minority ethnic. Over 10-years, the estimated number needed to treat (NNT) with a statin to prevent one CVD event in people with QRISK3 ≥ 10% was 34 in women and 37 in men, compared to 99 and 100 for those at highest lifetime risk.

conclusionsQRiskLifetime underpredicts 10-year CVD risk in nearly all age-groups, so is likely to also underpredict lifetime risk. Treatment based on lifetime risk has considerably lower medium-term benefit than treatment based on 10-year risk.

Indexed as

Cardiovascular DiseasesCohort StudiesFemaleHeart Disease Risk FactorsHumansMaleRisk AssessmentRisk FactorsCardiovascular riskCompeting mortality riskExternal validationLifetime modelsPrimary preventionQLifetimeRisk prediction

Identifiers

PMID37061672
PMCPMC10105395
OpenAlexW4365813487

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.