Evidence map›Paper›PMID 42006417›Full record

ArticleAmerican journal of preventive cardiology2026

Derivation and validation of a widely accessible cardiovascular risk prediction model and derived heart age for the general UK and US populations.

Numan Celik, Zhiqi Yao, Mahdi Safarnejad, Gerhard Albrecht, Dan Vahdat, Michael J Blaha

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of preventive cardiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Numan CelikHuma Therapeutics Limited, London, UK.
Zhiqi YaoCiccarone Center for the Prevention of Heart Disease, Johns Hopkins Medical Institutions, Baltimore, USA.
Mahdi SafarnejadHuma Therapeutics Limited, London, UK.
Gerhard AlbrechtBayer, Whippany, New Jers1ey, USA.
Dan VahdatHuma Therapeutics Limited, London, UK.
Michael J BlahaCiccarone Center for the Prevention of Heart Disease, Johns Hopkins Medical Institutions, Baltimore, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: There remains a need for tools leveraging widely accessible data compatible with mobile health platforms to provide simple and broadly comprehensible cardiovascular risk estimations. Methods: We streamlined the previously published DiCAVA model, originally developed in the Results: In the Conclusion: These findings support DiCAVA-Lite and the corresponding heart age as an accessible and interpretable tool for CVD risk assessment and communication in the US and UK primary prevention populations.

Indexed as

Cardiovascular diseaseHeart ageRisk communicationRisk factorsRisk prediction

Identifiers

PMID42006417
PMCPMC13084091

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.