Literature DB >> 32412077

Utilization of the Cancer Medications Enquiry Database (CanMED)-National Drug Codes (NDC): Assessment of Systemic Breast Cancer Treatment Patterns.

Donna R Rivera1, Andrew Grothen1, Bradley Ohm2, Timothy S McNeel2, Sean Brennan2, Clara J K Lam1, Lynne Penberthy1, Lindsey Enewold3, Valentina I Petkov1.   

Abstract

Cancer Medications Enquiry Database (CanMED) is comprised of two interactive, nomenclature-specific databases within the Observational Research in Oncology Toolbox: CanMED-Healthcare Common Procedure Coding System (HCPCS) and CanMED-National Drug Code (NDC), described through this study. CanMED includes medications with a) a US Food and Drug Administration-approved cancer treatment or treatment-related symptom management indication, b) inclusion in treatment guidelines, or c) an orphan drug designation. To demonstrate the joint utility of CanMED, medication codes associated with female breast cancer treatment were identified and utilization patterns were assessed within Surveillance Epidemiology and End Results-Medicare (SEER) data. CanMED-NDC (11_2018 v.1.2.4) includes 6860 NDC codes: chemotherapy (1870), immunotherapy (164), hormone therapy (3074), and ancillary therapy (1752). Treatment patterns among stage I-IIIA (20 701) and stage IIIB-IV (2381) breast cancer patients were accordant with guideline-recommended treatment by stage and molecular subtype. CanMED facilitates identification of medications from observational data (eg, claims and electronic health records), promoting more standardized and efficient treatment-related cancer research. Published by Oxford University Press 2020. This work is written by US Government employees and is in the public domain in the US.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 32412077      PMCID: PMC7868032          DOI: 10.1093/jncimonographs/lgaa002

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


  9 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.  An Overview of Cancer Drugs Approved by the US Food and Drug Administration Based on the Surrogate End Point of Response Rate.

Authors:  Emerson Y Chen; Vikram Raghunathan; Vinay Prasad
Journal:  JAMA Intern Med       Date:  2019-07-01       Impact factor: 21.873

3.  The national drug code.

Authors:  M Slavin
Journal:  Am J Hosp Pharm       Date:  1972-06

4.  Origin, development and application ... the national drug code.

Authors:  M Slavin
Journal:  J Am Pharm Assoc       Date:  1969-09       Impact factor: 2.217

5.  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

6.  Identifying specific chemotherapeutic agents in Medicare data: a validation study.

Authors:  Jennifer L Lund; Til Stürmer; Linda C Harlan; Hanna K Sanoff; Robert S Sandler; Maurice Alan Brookhart; Joan L Warren
Journal:  Med Care       Date:  2013-05       Impact factor: 2.983

7.  Development and Utility of the Observational Research in Oncology Toolbox: Cancer Medications Enquiry Database-Healthcare Common Procedure Coding System (HCPCS).

Authors:  Donna R Rivera; Clara J K Lam; Lindsey Enewold; Valentina I Petkov; Quyen Tran; Sean Brennan; Lois Dickie; Timothy S McNeel; Annie M Noone; Bradley Ohm; Dolly P White; Joan L Warren; Angela B Mariotto; Lynne Penberthy
Journal:  J Natl Cancer Inst Monogr       Date:  2020-05-01

8.  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

9.  Developing an Algorithm to Identify History of Cancer Using Electronic Medical Records.

Authors:  Christina L Clarke; Heather S Feigelson
Journal:  EGEMS (Wash DC)       Date:  2016-04-13
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.