Modeled Reductions in Late-stage Cancer with a Multi-Cancer Early Detection Test.
Earl HubbellChristina A ClarkeAlexander M AravanisChristine D BergPublished in: Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology (2020)
We obtained data on stage-specific incidence and survival of all invasive cancers diagnosed in persons aged 50-79 between 2006 and 2015 from the US Surveillance, Epidemiology, and End Results (SEER) program, and combined this with published performance of a MCED test in a state transition model (interception model) to predict diagnostic yield, stage shift, and potential mortality reductions. We model long-term (incident) performance, accou.
Keyphrases
- papillary thyroid
- risk factors
- cardiovascular disease
- public health
- randomized controlled trial
- coronary artery disease
- systematic review
- big data
- electronic health record
- cardiovascular events
- childhood cancer
- machine learning
- squamous cell carcinoma
- lymph node metastasis
- artificial intelligence
- meta analyses
- data analysis