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@ARTICLE{Zhong:157064,
      author       = {C. Zhong and P. Seibold$^*$ and C. R. Chao and W. Cozen and
                      J. Y. Song and D. Weisenburger and L. Bernstein and S. S.
                      Wang},
      title        = {{A}ssessing {C}ancer {T}reatment {I}nformation {U}sing
                      {M}edicare and {H}ospital {D}ischarge {D}ata among {W}omen
                      with {N}on-{H}odgkin {L}ymphoma in a {L}os {A}ngeles
                      {C}ounty {C}ase-{C}ontrol {S}tudy.},
      journal      = {Cancer epidemiology, biomarkers $\&$ prevention},
      volume       = {29},
      number       = {5},
      issn         = {1538-7755},
      address      = {Philadelphia, Pa.},
      publisher    = {AACR},
      reportid     = {DKFZ-2020-01355},
      pages        = {936 - 941},
      year         = {2020},
      abstract     = {We assessed the ability to supplement existing
                      epidemiologic/etiologic studies with data on treatment and
                      clinical outcomes by linking to publicly available cancer
                      registry and administrative databases.Medical records were
                      retrieved and abstracted for cases enrolled in a Los Angeles
                      County case-control study of non-Hodgkin lymphoma (NHL).
                      Cases were linked to the Los Angeles County cancer registry
                      (CSP), the California state hospitalization discharge
                      database (OSHPD), and the SEER-Medicare database. We
                      assessed sensitivity, specificity, and positive predictive
                      value (PPV) of cancer treatment in linked databases,
                      compared with medical record abstraction.We successfully
                      retrieved medical records for 918 of 1,004 participating NHL
                      cases and abstracted treatment for 698. We linked $59\%$ of
                      cases $(96\%$ of cases >65 years old) to SEER-Medicare and
                      $96\%$ to OSHPD. Chemotherapy was the most common treatment
                      and best captured, with the highest sensitivity in
                      SEER-Medicare $(80\%)$ and CSP $(74\%);$ combining all three
                      data sources together increased sensitivity $(92\%),$ at
                      reduced specificity $(56\%).$ Sensitivity for radiotherapy
                      was moderate: $77\%$ with aggregated data. Sensitivity of
                      BMT was low in the CSP $(42\%),$ but high for the
                      administrative databases, especially OSHPD $(98\%).$
                      Sensitivity for surgery reached $83\%$ when considering all
                      three datasets in aggregate, but PPV was $60\%.$ In general,
                      sensitivity and PPV for chronic lymphocytic leukemia/small
                      lymphocytic lymphoma were low.Chemotherapy was accurately
                      captured by all data sources. Hospitalization data yielded
                      the highest performance values for BMTs. Performance
                      measures for radiotherapy and surgery were moderate.Various
                      administrative databases can supplement epidemiologic
                      studies, depending on treatment type and NHL subtype of
                      interest.},
      cin          = {C020},
      ddc          = {610},
      cid          = {I:(DE-He78)C020-20160331},
      pnm          = {313 - Cancer risk factors and prevention (POF3-313)},
      pid          = {G:(DE-HGF)POF3-313},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:32066614},
      pmc          = {pmc:PMC7196521},
      doi          = {10.1158/1055-9965.EPI-19-1504},
      url          = {https://inrepo02.dkfz.de/record/157064},
}