Risk-weighted apoB: a novel summary metric outperforming traditional lipid biomarkers in predicting coronary heart disease

Michaela B Rehman, Elias Björnson, Martin Adiels, Jakub Morze, Göran Bergström, Anders Gummesson, David Erlinge, Tove Fall, Ljubica Matic, Stefan Söderberg, Carl Johan Östgren, Chris J Packard, Jan Borén

Open source

DOI
10.1093/eurheartj/ehaf1124
Published
2026-01-22
Container
European Heart Journal
Publisher
Oxford University Press (OUP)
Open access
unknown

Credibility signals

uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1093/eurheartj/ehaf1124,
  title = {Risk-weighted apoB: a novel summary metric outperforming traditional lipid biomarkers in predicting coronary heart disease},
  author = {Michaela B Rehman and Elias Björnson and Martin Adiels and Jakub Morze and Göran Bergström and Anders Gummesson and David Erlinge and Tove Fall and Ljubica Matic and Stefan Söderberg and Carl Johan Östgren and Chris J Packard and Jan Borén},
  year = {2026},
  journal = {European Heart Journal},
  doi = {10.1093/eurheartj/ehaf1124},
  url = {https://doi.org/10.1093/eurheartj/ehaf1124}
}

RIS

TY  - JOUR
TI  - Risk-weighted apoB: a novel summary metric outperforming traditional lipid biomarkers in predicting coronary heart disease
AU  - Michaela B Rehman
AU  - Elias Björnson
AU  - Martin Adiels
AU  - Jakub Morze
AU  - Göran Bergström
AU  - Anders Gummesson
AU  - David Erlinge
AU  - Tove Fall
AU  - Ljubica Matic
AU  - Stefan Söderberg
AU  - Carl Johan Östgren
AU  - Chris J Packard
AU  - Jan Borén
PY  - 2026
JO  - European Heart Journal
DO  - 10.1093/eurheartj/ehaf1124
UR  - https://doi.org/10.1093/eurheartj/ehaf1124
ER  - 

APA

Rehman, M. B., Björnson, E., Adiels, M., Morze, J., Bergström, G., Gummesson, A., Erlinge, D., Fall, T., Matic, L., Söderberg, S., Östgren, C. J., Packard, C. J., & Borén, J. (2026). Risk-weighted apoB: a novel summary metric outperforming traditional lipid biomarkers in predicting coronary heart disease. European Heart Journal. https://doi.org/10.1093/eurheartj/ehaf1124

Source records