Evidence map›Paper›PMID 35919262›Full record

ArticleEuropean heart journal open2021

Prediction of first cardiovascular disease event in 2.9 million individuals using Danish administrative healthcare data: a nationwide, registry-based derivation and validation study.

Daniel Mølager Christensen, Matthew Phelps, Thomas Gerds, Morten Malmborg, Anne-Marie Schjerning, Jarl Emanuel Strange, Mohamad El-Chouli, Lars Bruun Larsen, Emil Fosbøl, Lars Køber and 4 more

Open access · goldAbstract read
In one paragraph

Article in European heart journal open, 2021. 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
1.8field-weighted citation impact, top 15% 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, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Seasonal influenza vaccine uptake among patients with cardiovascular disease in Denmark, 2017-2019.European heart journal. Quality of care & clinical outcomes · 2023
    Article
  6. Article
  7. UnfoldingEuropean heart journal open · 2021
    Article
  8. Open Up your Science inEuropean heart journal open · 2021
    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 7 institutions in 2 countries.

Daniel Mølager ChristensenThe Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.ORCID https://orcid.org/0000-0003-4029-1060
Matthew PhelpsThe Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.ORCID https://orcid.org/0000-0003-0344-2026
Thomas GerdsThe Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.
Morten MalmborgThe Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.ORCID https://orcid.org/0000-0002-4838-2031
Anne-Marie SchjerningThe Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.
Jarl Emanuel StrangeDepartment of Cardiology, Copenhagen University Hospital Herlev and Gentofte, Kildegårdsvej 28, Hellerup 2900, Denmark.
Mohamad El-ChouliThe Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.
Lars Bruun LarsenResearch Unit of General Practice, University of Southern Denmark, J. B. Winsløws Vej 9A, Odense 5000, Denmark.
Emil FosbølDepartment of Cardiology, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.
Lars KøberDepartment of Cardiology, Rigshospitalet, Blegdamsvej 9, Copenhagen 2100, Denmark.ORCID https://orcid.org/0000-0002-6635-1466
Christian Torp-PedersenDepartment of Clinical Research, Nordsjaellands Hospital, Dyrehavevej 29, Hillerød 3400, Denmark.
Suneela MehtaSection of Epidemiology and Biostatistics, University of Auckland, Park Ave 22-30, Grafton, Auckland, New Zealand.
Rod JacksonSection of Epidemiology and Biostatistics, University of Auckland, Park Ave 22-30, Grafton, Auckland, New Zealand.
Gunnar GislasonThe Danish Heart Foundation, Vognmagergade 7, 3rd Floor, Copenhagen 1120, Denmark.
Gentofte Hospital · DKRigshospitalet · DKUniversity of Auckland · NZAalborg University Hospital · DKSteno Diabetes Centers · DKUniversity of Copenhagen · DKZealand University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The aim of this study was to derive and validate a risk prediction model with nationwide coverage to predict the individual and population-level risk of cardiovascular disease (CVD). Methods and results: All 2.98 million Danish residents aged 30-85 years free of CVD were included on 1 January 2014 and followed through 31 December 2018 using nationwide administrative healthcare registries. Model predictors and outcome were pre-specified. Predictors were age, sex, education, use of antithrombotic, blood pressure-lowering, glucose-lowering, or lipid-lowering drugs, and a smoking proxy of smoking-cessation drug use or chronic obstructive pulmonary disease. Outcome was 5-year risk of first CVD event, a combination of ischaemic heart disease, heart failure, peripheral artery disease, stroke, or cardiovascular death. Predictions were computed using cause-specific Cox regression models. The final model fitted in the full data was internally-externally validated in each Danish Region. The model was well-calibrated in all regions. Area under the receiver operating characteristic curve (AUC) and Brier scores ranged from 76.3% to 79.6% and 3.3 to 4.4. The model was superior to an age-sex benchmark model with differences in AUC and Brier scores ranging from 1.2% to 1.5% and -0.02 to -0.03. Average predicted risks in each Danish municipality ranged from 2.8% to 5.9%. Predicted risks for a 66-year old ranged from 2.6% to 25.3%. Personalized predicted risks across ages 30-85 were presented in an online calculator (https://hjerteforeningen.shinyapps.io/cvd-risk-manuscript/). Conclusion: A CVD risk prediction model based solely on nationwide administrative registry data provided accurate prediction of personal and population-level 5-year first CVD event risk in the Danish population. This may inform clinical and public health primary prevention efforts.

Indexed as

Cardiovascular diseaseNationwidePrimary preventionRegistriesRisk predictionRisk stratification

Identifiers

PMID35919262
PMCPMC9241501
OpenAlexW3200478961

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.