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 Journal
A novel, open-access data commons for improved disease management in patients (pts) with Merkel cell carcinoma (MCC) Journal of Clinical Oncology
Can synthetic data be a proxy for real clinical trial data? A validation study BMJ Open
Artificial Intelligence Comes of Age in the Fight Against Cancer Oncology Times
Exploring the Potential of External Control Arms created from Patient Level Data: A case study in non-small cell lung cancer Journal of Biopharmaceutical Statistics
Progress towards accurate prediction of overall survival in men with metastatic castration-resistant prostate cancer Journal of Xiangya Medicine
Assessment of systematic inflammatory and nutritional indexes in extensive-stage small-cell lung cancer treated with first-line chemotherapy and atezolizumab Cancer Immunology, Immunotherapy
Risk factors for developing osteonecrosis of jaw in advanced cancer patients underwent zoledronic acid treatment Future Oncology
Adjuvant regional nodal irradiation did not improve outcomes in T1-2N1 breast cancer after breast-conserving surgery: A propensity score matching analysis of BIG02/98 and BCIRG005 trials The Breast
Effect of early adverse events resulting in sorafenib dose adjustments on survival outcomes of advanced hepatocellular carcinoma patients International Journal of Clinical Oncology
Using horseshoe prior for incorporating multiple historical control data in randomized controlled trials Sage Journals
Clinical trial data reuse – overcoming complexities in trial design and data sharing Trials
The VENUSS prognostic model to predict disease recurrence following surgery for non-metastatic papillary renal cell carcinoma: development and evaluation using the ASSURE prospective clinical trial cohort BMC Medicine
Follow‑Up on the Use of Machine Learning in Clinical Quality Assurance: Can We Detect Adverse Event Under‑Reporting in Oncology Trials? Drug Safety
Reflections on Sharing Clinical Trial Data: Challenges and a Way Forward: Proceedings of a Workshop (2020) National Academies Press

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