Identification of patients with metastatic castration-sensitive or metastatic castration-resistant prostate cancer using administrative health claims and laboratory data

Stephen J Freedland, Xuehua Ke, Marie-Hélène Lafeuille, Hela Romdhani, Frederic Kinkead, Patrick Lefebvre, Allison Petrilla, Zul Pulungan, Seung Kim, Denise M D'Andrea, Peter Francis, Charles J Ryan

Research output: Contribution to journalArticlepeer-review

12 Scopus citations


OBJECTIVE: To develop algorithms to identify metastatic castration-sensitive prostate cancer (mCSPC) patients and castration-resistant prostate cancer (mCRPC) patients, using health claims data and laboratory test results.

METHODS: A targeted literature review summarized mCSPC and mCRPC patient selection criteria previously used in real-world retrospective studies. Novel algorithms to identify mCSPC and mCRPC were developed based on diagnosis codes indicating hormone sensitivity/resistance, prostate-specific antigen (PSA) test results, and claims for castration and mCRPC-specific treatments. These algorithms were applied to claims data from Optum Clinformatics Extended DataMart (Date of Death) Databases (commercial insurance/Medicare Advantage [COM/MA]; 01 January 2014-31 July 2019) and Medicare Fee-for-Service (Medicare-FFS; 01 January 2014-31 December 2017).

RESULTS: Previous real-world studies identified mCSPC primarily based on metastasis diagnosis codes, and mCRPC based on mCRPC-specific drugs. Using the current study's algorithms, 7034 COM/MA and 19,981 Medicare-FFS patients were identified as having mCSPC, and 2578 COM/MA and 11,554 Medicare-FFS as having mCRPC. Most mCSPC patients were identified based on evidence of being hormone/castration-naive. Patients were identified as having mCRPC most commonly based on rising PSA (COM/MA), or at the metastasis diagnosis date if it occurred after castration (Medicare-FFS). Among patients with mCSPC, 14-17% had evidence of progression to castration resistance during a median 1-year follow-up period, mostly based on use of mCRPC-specific drugs.

CONCLUSIONS: Comprehensive algorithms based on claims and laboratory data were developed to identify and distinguish patients with mCSPC and mCRPC. This will facilitate appropriate identification of mCSPC and mCRPC patients based on health claims data and better understanding of patient unmet needs in real-world settings.

Original languageEnglish (US)
Pages (from-to)609-622
Number of pages14
JournalCurrent Medical Research and Opinion
Issue number4
StatePublished - Apr 2021

Bibliographical note

Funding Information:
Financial support for this research was provided by Janssen Scientific Affairs, LLC. The study sponsor was involved in several aspects of the research, including the study design, the interpretation of data, the writing of the manuscript, and the decision to submit the manuscript for publication.

Publisher Copyright:
© 2021 Analysis Group, Inc. Published by Informa UK Limited, trading as Taylor & Francis Group.


  • administrative health insurance claims data
  • hormone resistance
  • hormone sensitivity
  • laboratory data
  • metastatic castration-resistant prostate cancer (mCRPC)
  • Metastatic castration-sensitive prostate cancer (mCSPC)
  • real-world data

PubMed: MeSH publication types

  • Research Support, Non-U.S. Gov't
  • Journal Article
  • Review


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