Literature DB >> 32066614

Assessing Cancer Treatment Information Using Medicare and Hospital Discharge Data among Women with Non-Hodgkin Lymphoma in a Los Angeles County Case-Control Study.

Charlie Zhong1, Petra Seibold2,3, Chun R Chao4, Wendy Cozen5, Joo Y Song6, Dennis Weisenburger6, Leslie Bernstein2, Sophia S Wang7.   

Abstract

BACKGROUND: 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.
METHODS: 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.
RESULTS: 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.
CONCLUSIONS: 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. IMPACT: Various administrative databases can supplement epidemiologic studies, depending on treatment type and NHL subtype of interest. ©2020 American Association for Cancer Research.

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Year:  2020        PMID: 32066614      PMCID: PMC7196521          DOI: 10.1158/1055-9965.EPI-19-1504

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  18 in total

1.  Overview of the SEER-Medicare data: content, research applications, and generalizability to the United States elderly population.

Authors:  Joan L Warren; Carrie N Klabunde; Deborah Schrag; Peter B Bach; Gerald F Riley
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

2.  Risk for second malignancies in non-Hodgkin's lymphoma survivors: a meta-analysis.

Authors:  M Pirani; R Marcheselli; L Marcheselli; A Bari; M Federico; S Sacchi
Journal:  Ann Oncol       Date:  2011-02-10       Impact factor: 32.976

3.  Linking data from the Multiethnic Cohort Study to Medicare data: linkage results and application to chronic disease research.

Authors:  Veronica Wendy Setiawan; Beth A Virnig; Jacqueline Porcel; Brian E Henderson; Loïc Le Marchand; Lynne R Wilkens; Kristine R Monroe
Journal:  Am J Epidemiol       Date:  2015-04-04       Impact factor: 4.897

4.  Estimating late adverse events using competing risks after autologous stem-cell transplantation in aggressive non-Hodgkin lymphoma patients.

Authors:  Rodrigo Ruiz-Soto; Guillaume Sergent; Christian Gisselbrecht; Jerome Larghero; Marjan Ertault; Christophe Hennequin; Julien Manson; Eric de Kerviler; Josette Briere; Nicolas Mounier
Journal:  Cancer       Date:  2005-12-15       Impact factor: 6.860

5.  Racial differences in treatment and survival in older patients with diffuse large B-cell lymphoma (DLBCL).

Authors:  Robert Griffiths; Michelle Gleeson; Kevin Knopf; Mark Danese
Journal:  BMC Cancer       Date:  2010-11-12       Impact factor: 4.430

Review 6.  Non-Hodgkin Lymphoma: Diagnosis and Treatment.

Authors:  Stephen M Ansell
Journal:  Mayo Clin Proc       Date:  2015-08       Impact factor: 7.616

7.  Sun sensitivity, indoor tanning and B-cell non-Hodgkin lymphoma risk among Caucasian women in Los Angeles County.

Authors:  Sophia S Wang; Jianning Luo; Wendy Cozen; Yani Lu; Jane Halley-Sullivan; Jenna Voutsinas; Charlie Zhong; Joo Song; James V Lacey; Dennis Weisenburger; Leslie Bernstein
Journal:  Br J Haematol       Date:  2016-03-31       Impact factor: 6.998

8.  Studying radiation therapy using SEER-Medicare-linked data.

Authors:  Beth A Virnig; Joan L Warren; Gregory S Cooper; Carrie N Klabunde; Nicola Schussler; Jean Freeman
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

9.  Cancer surveillance program in Los Angeles County.

Authors:  T M Mack
Journal:  Natl Cancer Inst Monogr       Date:  1977-12

10.  Cardiovascular Complications of Hematopoietic Stem Cell Transplantation.

Authors:  Anne Blaes; Suma Konety; Peter Hurley
Journal:  Curr Treat Options Cardiovasc Med       Date:  2016-04
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