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. 2021 Jan:5:12-20.
doi: 10.1200/CCI.20.00079.

Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research

Rimma Belenkaya  1 , Michael J Gurley  2 , Asieh Golozar  3 , Dmitry Dymshyts  4 , Robert T Miller  5 , Andrew E Williams  6 , Shilpa Ratwani  7 , Anastasios Siapos  7 , Vladislav Korsik  4 , Jeremy Warner  8 , W Scott Campbell  9 , Donna Rivera  10 , Tatiana Banokina  4 , Elizaveta Modina  4 , Shantha Bethusamy  1 , Henry Morgan Stewart  7 , Meera Patel  1 , Ruijun Chen  11 , Thomas Falconer  11 , Rae Woong Park  12 , Seng Chan You  12 , Hokyun Jeon  12 , Soe Jeong Shin  12 , Christian Reich  7
Affiliations

Extending the OMOP Common Data Model and Standardized Vocabularies to Support Observational Cancer Research

Rimma Belenkaya et al. JCO Clin Cancer Inform. 2021 Jan.
No abstract available

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Figures

FIG 1.
FIG 1.
Cancer diagnosis model. HER, human epidermal growth factor receptor.
FIG 2.
FIG 2.
Linkage between cancer diagnosis and diagnostic modifiers in OMOP Common Data Model. ICD-O-3, International Classification of Diseases for Oncology 3rd Edition; NAACCR, North American Association of Central Cancer Registries; NOS, not otherwise specified; SBR, Scarff-Bloom-Richardson.
FIG 3.
FIG 3.
Mapping precoordinated International Classification of Diseases for Oncology (ICD-O), 3rd Edition, histology and topography concepts to SNOMED CT: a) exact match found and b) exact match not found. NOS, not otherwise specified.
FIG 4.
FIG 4.
Disease and treatment episodes in OMOP Data Model. NOS, not otherwise specified.
FIG 5.
FIG 5.
Distribution of treatment regimens in the first-line therapy for patients with metastatic bladder cancer in three select network participants. The various regimens were combined into six treatment categories according to the National Comprehensive Cancer Network recommendation.
See this image and copyright information in PMC

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