Purpose: In 2014, the ASCO developed CancerLinQ (CLQ), a health technology platform for oncology. The CLQ Discovery (CLQD) database was created to make data available for research and this paper provides a summary of this database.
Methods: This study described the clinical and demographic characteristics of the 12 most common cancers in the CLQD database. We included patients with a new malignant tumor diagnosis between January 1, 2013, and December 31, 2018, of the following cancers: breast, lung and bronchus, prostate, colon and rectum, melanoma of the skin, bladder, non-Hodgkin lymphoma, kidney and renal pelvis, uterus, leukemia, pancreas, and thyroid. Patients with an in-situ diagnosis were excluded. Summary statistics and Kaplan-Meier survival estimates were calculated for each tumor.
Results: From 2013 to 2018, 491,360 patients were diagnosed with the study tumors. Breast cancer (139,506) was the most common, followed by lung and bronchus (70,959), prostate (63,303), and colon and rectum (53,504). The median age at diagnosis (years) was 61, 68, 68, and 64 in breast, lung and bronchus, prostate, and colon and rectum cohorts, respectively. Compared to the SEER 5-year overall survival estimates for several tumor types were higher in the CLQD database, possibly because of incomplete mortality capture in electronic health records.
Conclusion: This paper presents the first description of the CLQD database since its inception. CLQ will continue to evolve over time, and the breadth and depth of this data asset will continue to grow. ASCO and CLQ's long-term goal is to improve the quality of patient care and create a sustainable database for oncology researchers. These results demonstrate that CLQ built a scalable database that can be used for oncology research.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1200/CCI.21.00011 | DOI Listing |
JCO Clin Cancer Inform
September 2023
Walter Reed National Military Medical Center, Bethesda, MD.
Purpose: Real-world data (RWD) are pervasive in oncology research and offer insights into clinical trends and patient outcomes. However, RWD have shortcomings, making them prone to pitfalls during survival analyses. The American Society of Clinical Oncology (ASCO) CancerLinQ Discovery (CLQD) multiple myeloma (MM) data set was used to demonstrate some common pitfalls when analyzing survival from RWD: using incorrect surrogate markers for missing data and/or classification errors, ignoring deaths at time zero, and failing to account for guarantee-time bias.
View Article and Find Full Text PDFJCO Clin Cancer Inform
June 2021
CancerLinQ, American Society of Clinical Oncology, Alexandria, VA.
Purpose: In 2014, the ASCO developed CancerLinQ (CLQ), a health technology platform for oncology. The CLQ Discovery (CLQD) database was created to make data available for research and this paper provides a summary of this database.
Methods: This study described the clinical and demographic characteristics of the 12 most common cancers in the CLQD database.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!