Research protocol for an observational health data analysis to assess the applicability of randomized controlled trials focusing on newly diagnosed metastatic prostate cancer using real-world data: PIONEER IMI's "big data for better outcomes" program.
Giorgio GandagliaFrancesco PellegrinoBertrand De MeulderAyman HijazyThomas AbbottAsieh GolozarRossella NicolettiJuan Gomez-RivasCarl SteinbeisserSusan Evans-AxelssonAlberto BrigantiJames N'DowPublished in: International journal of surgery protocols (2024)
A systematic review of the literature will be conducted to compile patient characteristics from RCTs addressing this subject within the past decade. To create a real-world benchmark, patients with recently diagnosed metastatic PCa from a network of population-based databases will serve as a comparison group. The objective is to assess the applicability of RCT results in two ways. First, a comparison will be made between the characteristics of patients with newly diagnosed metastatic PCa enroled in RCTs and those with the same condition included in our databases which might represent the real-world setting. Second, an evaluation will be undertaken to determine the proportion of real-world patients with newly diagnosed metastatic PCa who meet the criteria for RCT enrolment. This study will rely on extensive observational data, primarily sourced from population-based registries, electronic health records, and insurance claims data. The study cohort is established upon routinely gathered healthcare data, meticulously mapped to the Observational Medical Outcomes Partnership Common Data Model.
Keyphrases
- big data
- electronic health record
- newly diagnosed
- data analysis
- healthcare
- prostate cancer
- squamous cell carcinoma
- artificial intelligence
- machine learning
- small cell lung cancer
- health insurance
- public health
- clinical decision support
- randomized controlled trial
- quality improvement
- cross sectional
- adipose tissue
- metabolic syndrome
- risk assessment
- climate change
- social media
- radical prostatectomy
- skeletal muscle
- weight loss
- insulin resistance