NCI Data Jamboree (Project Abstract Submission): Submission #31

serial: '31'
sid: '188930'
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data:
  list_of_additional_authors:
    - add_author_letters: ''
      affiliation: 'University of Maryland School of Public Health'
      first_name: Dylan
      last_name: Boone
    - add_author_letters: ''
      affiliation: 'University of Maryland School of Public Health'
      first_name: Betelihim
      last_name: Haile
    - add_author_letters: ''
      affiliation: 'University of Maryland School of Public Health'
      first_name: Shika
      last_name: Marur
    - add_author_letters: ''
      affiliation: 'University of Maryland School of Public Health'
      first_name: Marco
      last_name: Negrete
  category: 'Evaluating data quality for reproducibility and AI-readiness'
  degree_s_: B.S.
  email: xhu60@umd.edu
  first_name: Xiao
  keywords_abstracts: 'NCCR, early-onset cancer, claims data, treatment validation'
  last_name: Hu
  middle_initial: ''
  organization: 'University of Maryland School of Public Health'
  organization_address:
    address: ''
    address_2: ''
    city: 'College Park, MD'
    country: ''
    postal_code: ''
    state_province: ''
  summary: |-
    The National Childhood Cancer Registry (NCCR) is a new US-based cancer registry that represents ~75% of all US children and adolescents and young adults (AYAs) diagnosed with cancer. It combines data from multiple cancer registries and links it to pharmacy and medical claims, area based measures, and other data sources. Some treatment information is reported within the cancer registry data; however, previous studies have found significant underreporting of systemic and radiation therapy data in cancer registries (e.g., SEER). Prior studies using SEER-Medicare linked data have evaluated treatment data quality among patients aged 65 and older, but to our knowledge, none have assessed this concordance in younger adults. These analyses are especially needed because AYAs diagnosed with cancer have distinct treatment patterns including more aggressive regimens and fertility preservation concerns. This kind of assessment would also provide valuable information for researchers interested in using NCCR, especially if they do not plan to use the linked claims data.

    All patients aged 15-39 diagnosed with breast, colorectal, thyroid, or testicular cancer between 2000-2021 enrolled in a linked insurers plan for at least 12 months after their cancer diagnosis will be included in the analysis. Treatment concordance between the cancer registry and claims (gold standard) will be assessed using Kappa statistics, sensitivity, specificity, positive/negative predictive values, and percent agreement. Analysis will be performed overall and stratified by cancer site, stage, diagnosis year, and patient demographics. Our core in-event analysis will focus on breast cancer, with the remaining cancer types analyzed as time allows during and after the event. Deliverables include concordance metric tables, documentation of systemic discordance patterns, recommendations for NCCR data users regarding treatment variable validity, and reproducible code for cohort creation and analysis.

    Experience using medical and pharmacy claims is needed. Analyses will be conducted using SAS.
  title: 'Graduate Student'
  ttile: 'Comparison of registry treatment data and linked claims in the National Childhood Cancer Registry'