Literature DB >> 32412074

Using the SEER-Medicare Data to Assess Incident Chronic Myeloid Leukemia and Bladder Cancer Cases Missed by Cancer Registries.

Clara J K Lam1, Joan L Warren2, Matthew Nielsen3, Angela Smith3, Eric Boyd4, Michael J Barrett4, Angela B Mariotto1.   

Abstract

The growing use of oral systemic therapies and transition of some cancer treatments to the outpatient setting makes capturing all cancer case patients more difficult. We aim to develop algorithms to identify potentially missed incident case patients and estimate impact on incidence rates. We reviewed claims from SEER-Medicare 5% noncancer control patient sample to identify potentially missed chronic myeloid leukemia (CML) and bladder case patients based on diagnosis codes, cancer-related treatments, and oncology consultations. Observed rates of definite missed CML and definite and probable missed bladder case patients were calculated and the impact of missed case patients of these two cancers on SEER 65+ incidence rates were estimated. From 2008 to 2015, the algorithm estimated 781 definite CML case patients missed, increasing the number by 10.7%. From 2007 to 2015, the algorithm estimated 4629 definite and 5772 probable bladder case patients missed, increasing the number by 3.8% to 8.1%. Our algorithms offer potential methods for identifying missed case patients and validating the completeness of cancer registries. Published by Oxford University Press 2020. This work is written by US Government employees and is in the public domain in the US.

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Year:  2020        PMID: 32412074      PMCID: PMC7868038          DOI: 10.1093/jncimonographs/lgz033

Source DB:  PubMed          Journal:  J Natl Cancer Inst Monogr        ISSN: 1052-6773


  23 in total

1.  Patterns of care for the treatment of bladder cancer.

Authors:  Claire Snyder; Linda Harlan; Kevin Knopf; Arnold Potosky; Richard Kaplan
Journal:  J Urol       Date:  2003-05       Impact factor: 7.450

Review 2.  Role of tyrosine kinase inhibitors in cancer therapy.

Authors:  Amit Arora; Eric M Scholar
Journal:  J Pharmacol Exp Ther       Date:  2005-07-07       Impact factor: 4.030

3.  Impact of automated data collection from urology offices: improving incidence and treatment reporting in urologic cancers.

Authors:  Lynne T Penberthy; Donna McClish; Pamela Agovino
Journal:  J Registry Manag       Date:  2010

4.  Chronic lymphocytic leukemia incidence is substantially higher than estimated from tumor registry data.

Authors:  C S Zent; M J Kyasa; R Evans; S A Schichman
Journal:  Cancer       Date:  2001-09-01       Impact factor: 6.860

5.  Incidence of the myelodysplastic syndromes using a novel claims-based algorithm: high number of uncaptured cases by cancer registries.

Authors:  Christopher R Cogle; Benjamin M Craig; Dana E Rollison; Alan F List
Journal:  Blood       Date:  2011-04-29       Impact factor: 22.113

6.  The burden of rare cancers in the United States.

Authors:  Carol E DeSantis; Joan L Kramer; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2017-05-19       Impact factor: 508.702

7.  Hematologic malignancies: an opportunity to fill a gap in cancer surveillance.

Authors:  Lynne Penberthy; Donna McClish; Steven Peace; Laurel Gray; Jim Martin; Sandra Overton; Soundarya Radhakrishnan; Chris Gillam; Gordon Ginder
Journal:  Cancer Causes Control       Date:  2012-06-07       Impact factor: 2.506

8.  Haematological malignancies in a general population, based on information collected from a population study, hospital records, and the Cancer Registry of Norway: the Tromsø Study.

Authors:  T Skjelbakken; M-L Løchen; I M S Dahl
Journal:  Eur J Haematol       Date:  2002-08       Impact factor: 2.997

9.  High incidence of chronic lymphocytic leukemia (CLL) diagnosed by immunophenotyping: a population-based Canadian cohort.

Authors:  M D Seftel; A A Demers; V Banerji; S B Gibson; C Morales; G Musto; M W Pitz; J B Johnston
Journal:  Leuk Res       Date:  2009-07-05       Impact factor: 3.156

10.  Ambulatory surgery centers and outpatient urologic surgery among Medicare beneficiaries.

Authors:  Anne M Suskind; Rodney L Dunn; Yun Zhang; John M Hollingsworth; Brent K Hollenbeck
Journal:  Urology       Date:  2014-07       Impact factor: 2.649

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  2 in total

1.  Cancer Treatment Data in Central Cancer Registries: When Are Supplemental Data Needed?

Authors:  Cathy J Bradley; Rifei Liang; Jagar Jasem; Richard C Lindrooth; Lindsay M Sabik; Marcelo C Perraillon
Journal:  Cancer Inform       Date:  2022-07-30

2.  Machine Learning Methods to Identify Missed Cases of Bladder Cancer in Population-Based Registries.

Authors:  Anne-Michelle Noone; Clara J K Lam; Angela B Smith; Matthew E Nielsen; Eric Boyd; Angela B Mariotto; Mousumi Banerjee
Journal:  JCO Clin Cancer Inform       Date:  2021-06
  2 in total

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