Abstract
This multicenter diagnostic study assessed a prediction model that uses readily available blood biomarkers to possibly distinguish early-stage pancreatic cancer from benign periampullary diseases.
- Title
- Prediction Model for Early-Stage Pancreatic Cancer Using Routinely Measured Blood Biomarkers
- Creators
- Lenka N. C. Boyd - Vrije Universiteit AmsterdamMahsoem Ali - Vrije Universiteit AmsterdamAnnalisa Comandatore - Vrije Universiteit AmsterdamIngrid Garajova - University of ParmaLaura Kam - Vrije Universiteit AmsterdamJisce R. Puik - Vrije Universiteit AmsterdamStephanie M. Fraga Rodrigues - University of PisaLaura L. Meijer - Vrije Universiteit AmsterdamTessa Y. S. Le Large - Amsterdam University Medical CentersMarc G. Besselink - University of AmsterdamLuca Morelli - University of PisaAdam Frampton - Imperial College LondonHanneke W. M. van Laarhoven - University of AmsterdamElisa Giovannetti - Fondazione PisaGeert Kazemier - Vrije Universiteit Amsterdam
- Publication Details
- JAMA network open, Vol.6(8), pp.e2331197-e2331197
- Publisher
- American Medical Association
- Date published
- 01/08/2023
- Grant note
- Associazione Italiana per la Ricerca sul Cancro Bennink Foundation Dutch Cancer Foundation
- Identifiers
- 99828459802346
- Academic Unit
- School of Biosciences
- Language
- English
- Resource Type
- Journal article