Journal Publications

Project Data Sphere's success is ultimately measured by the practice-changing scientific insights discovered by the research community. We are proud to share the following list of peer-accepted publications, and we are grateful to the data providers, research scientists, and patients that make this possible.

Article Title Journalsort descending
Clinical significance of site-specific metastases in pancreatic cancer: a study based on both clinical trial and real-world data Journal of Cancer
Temporal Trends in Clinical Evidence of 5-Year Survival Within Electronic Health Records Among Patients With Early-Stage Colon Cancer Managed With Laparoscopy-Assisted Colectomy vs Open Colectomy JAMA Network Open
Assessment of a Clinical Trial–Derived Survival Model in Patients With Metastatic Castration-Resistant Prostate Cancer JAMA Network Open
Real-world assessment of response to anti-PD-1 therapy in advanced cutaneous squamous cell carcinoma Journal of the American Academy of Dermatology
Case Studies for Overcoming Challenges in Using Big Data in Cancer Cancer Research
Challenges to Using Big Data in Cancer Cancer Research
Spatiotemporal Heterogeneity Across Metastases and Organ-Specific Response Informs Drug Efficacy and Patient Survival in Colorectal Cancer Cancer Research
Predicted sensitivity to endocrine therapy for stage II-III hormone receptor-positive and HER2-negative (HR+/HER2-) breast cancer prior to chemo-endocrine therapy Annals of Oncology
Matrix decomposition in meta‐analysis for extraction of adverse event pattern and patient‐level safety profile Pharmaceutical Statistics
Assessment of systematic inflammatory and nutritional indexes in extensive-stage small-cell lung cancer treated with first-line chemotherapy and atezolizumab Cancer Immunology, Immunotherapy
Can synthetic data be a proxy for real clinical trial data? A validation study BMJ Open
Evaluating predictors of renal injury with sorafenib in hepatocellular carcinoma: A multi-ethnic cohort study Journal of Onco-Nephrology
Machine Learning Predicts Outcomes of Phase III Clinical Trials for Prostate Cancer Algorithms
KMDATA: a curated database of reconstructed individual patient-level data from 153 oncology clinical trials Database

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