Literature DB >> 25971299

Challenges and opportunities in measuring cancer recurrence in the United States.

Joan L Warren1, K Robin Yabroff2.   

Abstract

Cancer recurrence and disease-free survival are key outcomes for measuring the burden of illness, assessing the quality of cancer care, and informing decisions about increasingly costly cancer therapies. Yet information about recurrence is not collected in cancer registries or other population-based data sources. To address the lack of population-based recurrence information, researchers are increasingly using algorithms applied to health claims to infer recurrence. However, the validity of these approaches has not been comprehensively evaluated. In this commentary, we review existing studies and discuss options for improving the availability of recurrence data. We found that the validity of claims-based approaches appears promising in small, single institution studies, but larger population-based studies have identified substantial limitations with using claims to identify recurrence. With the increasing availability of health data, there are potential options that can be implemented to enhance information about recurrence. These options include design of software for the electronic medical record that enables rapid and standardized reporting of recurrence, use of electronic pathology reports to facilitate streamlined collection of recurrence by cancer registries, and mandates by insurers to require reporting of recurrence on health claims submitted by physicians. All of these options will require that governmental agencies, health insurers, professional societies, and other groups recognize the importance of population-based recurrence data and determine that this information is a priority for assessing cancer outcomes and costs. Published by Oxford University Press 2015. This work is written by (a) US Government employee(s) and is in the public domain in the US.

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Year:  2015        PMID: 25971299      PMCID: PMC4580558          DOI: 10.1093/jnci/djv134

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  18 in total

1.  Limits on Medicare's ability to control rising spending on cancer drugs.

Authors:  Peter B Bach
Journal:  N Engl J Med       Date:  2009-01-27       Impact factor: 91.245

2.  Limited validity of diagnosis codes in Medicare claims for identifying cancer metastases and inferring stage.

Authors:  Neetu Chawla; K Robin Yabroff; Angela Mariotto; Timothy S McNeel; Deborah Schrag; Joan L Warren
Journal:  Ann Epidemiol       Date:  2014-07-03       Impact factor: 3.797

3.  Use and characteristics of electronic health record systems among office-based physician practices: United States, 2001-2013.

Authors:  Chun-Ju Hsiao; Esther Hing
Journal:  NCHS Data Brief       Date:  2014-01

4.  The utility of Medicare claims data for measuring cancer stage.

Authors:  G S Cooper; Z Yuan; K C Stange; S B Amini; L K Dennis; A A Rimm
Journal:  Med Care       Date:  1999-07       Impact factor: 2.983

5.  Identification of metastatic cancer in claims data.

Authors:  Beth L Nordstrom; Joanna L Whyte; Marilyn Stolar; Catherine Mercaldi; Joel D Kallich
Journal:  Pharmacoepidemiol Drug Saf       Date:  2012-05       Impact factor: 2.890

6.  Development of a claims-based algorithm to identify colorectal cancer recurrence.

Authors:  Anjali D Deshpande; Mario Schootman; Allese Mayer
Journal:  Ann Epidemiol       Date:  2015-01-16       Impact factor: 3.797

7.  Administrative data algorithms to identify second breast cancer events following early-stage invasive breast cancer.

Authors:  Jessica Chubak; Onchee Yu; Gaia Pocobelli; Lois Lamerato; Joe Webster; Marianne N Prout; Marianne Ulcickas Yood; William E Barlow; Diana S M Buist
Journal:  J Natl Cancer Inst       Date:  2012-04-30       Impact factor: 13.506

8.  Validating billing/encounter codes as indicators of lung, colorectal, breast, and prostate cancer recurrence using 2 large contemporary cohorts.

Authors:  Michael J Hassett; Debra P Ritzwoller; Nathan Taback; Nikki Carroll; Angel M Cronin; Gladys V Ting; Deb Schrag; Joan L Warren; Mark C Hornbrook; Jane C Weeks
Journal:  Med Care       Date:  2014-10       Impact factor: 2.983

9.  Identifying cancer relapse using SEER-Medicare data.

Authors:  Craig C Earle; Ann B Nattinger; Arnold L Potosky; Kathleen Lang; Rajiv Mallick; Mark Berger; Joan L Warren
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

10.  Sensitivity of Medicare Claims to Identify Cancer Recurrence in Elderly Colorectal and Breast Cancer Patients.

Authors:  Joan L Warren; Angela Mariotto; Danielle Melbert; Deborah Schrag; Paul Doria-Rose; David Penson; K Robin Yabroff
Journal:  Med Care       Date:  2016-08       Impact factor: 2.983

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  30 in total

1.  Detecting Lung and Colorectal Cancer Recurrence Using Structured Clinical/Administrative Data to Enable Outcomes Research and Population Health Management.

Authors:  Michael J Hassett; Hajime Uno; Angel M Cronin; Nikki M Carroll; Mark C Hornbrook; Debra Ritzwoller
Journal:  Med Care       Date:  2017-12       Impact factor: 2.983

2.  Validation in Alberta of an administrative data algorithm to identify cancer recurrence.

Authors:  Z F Cairncross; G Nelson; L Shack; A Metcalfe
Journal:  Curr Oncol       Date:  2020-06-01       Impact factor: 3.677

3.  Identifying Cancer-Directed Surgeries in Medicare Claims: A Validation Study Using SEER-Medicare Data.

Authors:  Jessica A Lavery; Allison Lipitz-Snyderman; Diane G Li; Peter B Bach; Katherine S Panageas
Journal:  JCO Clin Cancer Inform       Date:  2019-02

4.  Spending for Advanced Cancer Diagnoses: Comparing Recurrent Versus De Novo Stage IV Disease.

Authors:  Michael J Hassett; Matthew Banegas; Hajime Uno; Shicheng Weng; Angel M Cronin; Maureen O'Keeffe Rosetti; Nikki M Carroll; Mark C Hornbrook; Debra P Ritzwoller
Journal:  J Oncol Pract       Date:  2019-05-20       Impact factor: 3.840

5.  The FOXM1 Inhibitor RCM-1 Decreases Carcinogenesis and Nuclear β-Catenin.

Authors:  Samriddhi Shukla; David Milewski; Arun Pradhan; Nihar Rama; Kathryn Rice; Tien Le; Matthew J Flick; Sara Vaz; Xueheng Zhao; Kenneth D Setchell; Elsa Logarinho; Vladimir V Kalinichenko; Tanya V Kalin
Journal:  Mol Cancer Ther       Date:  2019-04-30       Impact factor: 6.261

6.  A Systematic Review of Estimating Breast Cancer Recurrence at the Population Level With Administrative Data.

Authors:  Hava Izci; Tim Tambuyzer; Krizia Tuand; Victoria Depoorter; Annouschka Laenen; Hans Wildiers; Ignace Vergote; Liesbet Van Eycken; Harlinde De Schutter; Freija Verdoodt; Patrick Neven
Journal:  J Natl Cancer Inst       Date:  2020-10-01       Impact factor: 13.506

7.  Development, Validation, and Dissemination of a Breast Cancer Recurrence Detection and Timing Informatics Algorithm.

Authors:  Debra P Ritzwoller; Michael J Hassett; Hajime Uno; Angel M Cronin; Nikki M Carroll; Mark C Hornbrook; Lawrence C Kushi
Journal:  J Natl Cancer Inst       Date:  2018-03-01       Impact factor: 13.506

8.  Use of antidepressants after colon cancer diagnosis and risk of recurrence.

Authors:  Gaia Pocobelli; Onchee Yu; Rebecca A Ziebell; Erin J Aiello Bowles; Monica M Fujii; Andrew T Sterrett; Jennifer M Boggs; Lu Chen; Denise M Boudreau; Debra P Ritzwoller; Rebecca A Hubbard; Jessica Chubak
Journal:  Psychooncology       Date:  2019-02-14       Impact factor: 3.894

9.  Medical Care Costs for Recurrent versus De Novo Stage IV Cancer by Age at Diagnosis.

Authors:  Debra P Ritzwoller; Paul A Fishman; Matthew P Banegas; Nikki M Carroll; Maureen O'Keeffe-Rosetti; Angel M Cronin; Hajime Uno; Mark C Hornbrook; Michael J Hassett
Journal:  Health Serv Res       Date:  2018-07-24       Impact factor: 3.402

10.  Can We Use Survival Data from Cancer Registries to Learn about Disease Recurrence? The Case of Breast Cancer.

Authors:  Angela B Mariotto; Zhaohui Zou; Fanni Zhang; Nadia Howlader; Allison W Kurian; Ruth Etzioni
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2018-10-18       Impact factor: 4.254

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