Evidence map›Paper›PMID 35454012›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Validation of the 30-Year Framingham Risk Score in a German Population-Based Cohort.

Susanne Rospleszcz, Fabian Starnecker, Birgit Linkohr, Moritz von Scheidt, Christian Gieger, Heribert Schunkert, Annette Peters, DigiMed Bayern Consortium

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

8 authors.

Susanne RospleszczDepartment of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, 80539 Munich, Germany.ORCID 0000-0002-4788-2341
Fabian StarneckerGerman Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80636 Munich, Germany.
Birgit LinkohrInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.ORCID 0000-0002-3387-5685
Moritz von ScheidtGerman Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80636 Munich, Germany.ORCID 0000-0001-7159-8271
Christian GiegerInstitute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, 85764 Neuherberg, Germany.
Heribert SchunkertGerman Center for Cardiovascular Disease (DZHK), Partner Site Munich Heart Alliance, 80636 Munich, Germany.ORCID 0000-0001-6428-3001
Annette PetersDepartment of Epidemiology, Institute for Medical Information Processing, Biometry and Epidemiology, Medical Faculty, Ludwig-Maximilians-Universität München, 80539 Munich, Germany.ORCID 0000-0001-6645-0985
DigiMed Bayern Consortium

Funding

Bavarian State Ministry of Health and Care Not applicableFederal Ministry of Education and Research Not applicable
6 · The paper itself

Abstract

The Framingham Risk Score to predict 30-year risk (FRS30y) of cardiovascular disease (CVD) constitutes an important tool for long-term risk prediction. However, due to its complex statistical properties and the paucity of large population-based cohorts with appropriate data, validation of the FRS30y is lacking. A population-based cohort from Southern Germany (N = 3110, 1516 (48.7%) women) was followed up for a median time of 29.5 [18.7, 31.2] years. Discrimination and calibration were assessed for the original, recalibrated and refitted FRS30y version. During follow up, 620 incident CVD events (214 in women) occurred. The FRS30y showed adequate discrimination (original and recalibrated version: Area under the curve (AUC): 78.4 for women and 74.9 for men) but overestimated actual CVD risk (original version: discordance 45.4% for women and 37.3% for men, recalibrated version: 37.6% and 28.6%, respectively). Refitting showed substantial improvement in neither discrimination nor calibration. The performance of FRS30y is adequate for long-term CVD risk prediction and could serve as an important tool in risk communication, especially for younger audiences.

Indexed as

calibrationcardiovascular diseasecohort studyrisk factorsrisk prediction

Identifiers

PMID35454012
PMCPMC9025787

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.