Evidence map›Paper›PMID 32412072›Full record

ArticleJournal of the National Cancer Institute. Monographs2020

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

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 and 4 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute. Monographs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
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  7. Updated Overview of the SEER-Medicare Data: Enhanced Content and Applications.Journal of the National Cancer Institute. Monographs · 2020
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Donna R RiveraSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Clara J K LamSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Lindsey EnewoldHealthcare Delivery Research Program, Division of Cancer Control and Population, Sciences, National Cancer Institute, Rockville, MD.
Valentina I PetkovSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Quyen TranSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Sean BrennanInformation Management Services, Inc., Calverton, MD.
Lois DickieSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Timothy S McNeelInformation Management Services, Inc., Calverton, MD.
Annie M NooneSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Bradley OhmInformation Management Services, Inc., Calverton, MD.
Dolly P WhiteHealthcare Delivery Research Program, Division of Cancer Control and Population, Sciences, National Cancer Institute, Rockville, MD.
Joan L WarrenHealthcare Delivery Research Program, Division of Cancer Control and Population, Sciences, National Cancer Institute, Rockville, MD.
Angela B MariottoSurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.
Lynne PenberthySurveillance Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, Rockville, MD.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHealth-care claims are of increasing utility as a rich, real-world data resource for conducting treatment-related cancer research. However, multiple dynamic coding nomenclatures exist, leading to study variability. To promote increased standardization and reproducibility, the National Cancer Institute (NCI) developed the Cancer Medications Enquiry Database (CanMED)-Healthcare Common Procedure Coding System (HCPCS) within the Observational Research in Oncology Toolbox.

methodsThe CanMED-HCPCS includes codes for oncology medications that a) have a US Food and Drug Administration-approved indication for cancer treatment or treatment-related symptom management; b) are present in National Comprehensive Cancer Network guidelines; or c) carry an orphan drug designation for treatment or management of cancer. Included medications and their HCPCS codes were primarily identified based on Center for Medicare and Medicaid Services annual HCPCS Indices (2012-2018). To demonstrate the utility of the CanMED-HCPCS, use of systemic treatment for stage II-IV colorectal cancer patients included in the Surveillance, Epidemiology, and End Results-Medicare data (2007-2013) was assessed.

resultsThe CanMED-HCPCS (v2018) includes 332 HCPCS codes for cancer-related medications: chemotherapy (156), immunotherapy (74), hormonal therapy (54), and ancillary therapy (48). Observed treatment trends within the NCI Surveillance, Epidemiology, and End Results-Medicare data were as expected; utilization of each treatment type increased with stage, and immunotherapy was largely confined to use among stage IV patients.

conclusionThe CanMED-HCPCS provides a comprehensive resource that can be used by the research community to facilitate systematic identification of medications within claims or electronic health data using the HCPCS nomenclature and greater reproducibility of cancer surveillance and health services research.

Indexed as

Databases, FactualHealthcare Common Procedure Coding SystemMedicareNeoplasmsAgedHumansReproducibility of ResultsUnited States

Identifiers

PMID32412072
PMCPMC7868035

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.