Literature DB >> 32795185

Exploration of PCORnet Data Resources for Assessing Use of Molecular-Guided Cancer Treatment.

Ryan M Carnahan1, Lemuel R Waitman2, Mary E Charlton3, Mary C Schroeder4, Aaron D Bossler5, W Scott Campbell6, James R Campbell7, Bradley D McDowell8, Nicholas C Smith9, Brian M Gryzlak1, Elizabeth A Chrischilles1.   

Abstract

PURPOSE: Examine the ability of PCORnet data resources to investigate molecular-guided cancer treatment. PATIENTS AND METHODS: Patients (N = 86,154) had single primary solid tumors (diagnosed 2013-2017) from hospital oncology registries linked to the PCORnet Common Data Model (CDM) at 11 medical institutions. Molecular and anatomic test procedures and oral and infused therapies were identified with Current Procedural Terminology (CPT) and Healthcare Common Procedure Coding System (HCPCS) codes, RxNorm Concept Unique Identifier, and National Drug Codes from CDM tables. Chart review (2 institutions, n = 213) for advanced colorectal cancer and Medicare claims linkages (7 institutions, n = 1,731) for breast cancer explored options for increasing electronic data capture.
RESULTS: Molecular testing prevalence detected via analyte-specific molecular CPT/HCPCS codes was 5.5% (n = 4,784); for the nonspecific anatomic pathology codes, for which only some testing is performed to guide therapy selection, it was an additional 44.8% (n = 38,610). Molecular-guided therapy prevalence was 5% (n = 4,289). Testing and treatment were most common with stage IV disease and varied across cancer types and study institutions (testing, 0%-10.4%; treatment, 0.8%-8.4%). Therapy-concordant test results were found in charts for all 36 treated patients with colorectal cancer at the 2 institutions, 3 (8.3%) of whom received treatment outside the institution. Breast cancer Medicare claims linkage increased rates of identified testing from 62.7%-98.9% and treatment from 3.9%-8.2%.
CONCLUSION: Although a minority of patients received molecular-guided therapies, the majority had testing that could guide cancer treatment. Claims data extended electronic data capture for therapies and test orders but often was uninformative for types of test ordered. Test results continue to require text data curation from narrative pathology reports.

Entities:  

Year:  2020        PMID: 32795185      PMCID: PMC7469597          DOI: 10.1200/CCI.19.00142

Source DB:  PubMed          Journal:  JCO Clin Cancer Inform        ISSN: 2473-4276


  7 in total

1.  Clinical Molecular Marker Testing Data Capture to Promote Precision Medicine Research Within the Cancer Research Network.

Authors:  Andrea N Burnett-Hartman; Natalia Udaltsova; Lawrence H Kushi; Christine Neslund-Dudas; Alanna Kulchak Rahm; Pamala A Pawloski; Douglas A Corley; Sarah Knerr; Heather Spencer Feigelson; Jessica Ezzell Hunter; David C Tabano; Mara M Epstein; Stacey A Honda; Monica Ter-Minassian; Julie A Lynch; Christine Y Lu
Journal:  JCO Clin Cancer Inform       Date:  2019-09

2.  Real-world utilization of molecular diagnostic testing and matched drug therapies in the treatment of metastatic cancers.

Authors:  Anita Chawla; Miranda Peeples; Nanxin Li; Rachel Anhorn; Jason Ryan; James Signorovitch
Journal:  J Med Econ       Date:  2018-01-19       Impact factor: 2.448

3.  Tradeoffs of using administrative claims and medical records to identify the use of personalized medicine for patients with breast cancer.

Authors:  Su-Ying Liang; Kathryn A Phillips; Grace Wang; Carol Keohane; Joanne Armstrong; William M Morris; Jennifer S Haas
Journal:  Med Care       Date:  2011-06       Impact factor: 2.983

4.  US incidence of breast cancer subtypes defined by joint hormone receptor and HER2 status.

Authors:  Nadia Howlader; Sean F Altekruse; Christopher I Li; Vivien W Chen; Christina A Clarke; Lynn A G Ries; Kathleen A Cronin
Journal:  J Natl Cancer Inst       Date:  2014-04-28       Impact factor: 13.506

Review 5.  Clinical development of targeted and immune based anti-cancer therapies.

Authors:  N A Seebacher; A E Stacy; G M Porter; A M Merlot
Journal:  J Exp Clin Cancer Res       Date:  2019-04-11

6.  PCORnet: turning a dream into reality.

Authors:  Francis S Collins; Kathy L Hudson; Josephine P Briggs; Michael S Lauer
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

7.  Launching PCORnet, a national patient-centered clinical research network.

Authors:  Rachael L Fleurence; Lesley H Curtis; Robert M Califf; Richard Platt; Joe V Selby; Jeffrey S Brown
Journal:  J Am Med Inform Assoc       Date:  2014-05-12       Impact factor: 4.497

  7 in total
  3 in total

1.  Enhancing PCORnet Clinical Research Network data completeness by integrating multistate insurance claims with electronic health records in a cloud environment aligned with CMS security and privacy requirements.

Authors:  Lemuel R Waitman; Xing Song; Dammika Lakmal Walpitage; Daniel C Connolly; Lav P Patel; Mei Liu; Mary C Schroeder; Jeffrey J VanWormer; Abu Saleh Mosa; Ernest T Anye; Ann M Davis
Journal:  J Am Med Inform Assoc       Date:  2022-03-15       Impact factor: 4.497

Review 2.  Global Regulatory and Public Health Initiatives to Advance Pediatric Drug Development for Rare Diseases.

Authors:  Carla Epps; Ralph Bax; Alysha Croker; Dionna Green; Andrea Gropman; Agnes V Klein; Hannah Landry; Anne Pariser; Marc Rosenman; Michiyo Sakiyama; Junko Sato; Kuntal Sen; Monique Stone; Fumi Takeuchi; Jonathan M Davis
Journal:  Ther Innov Regul Sci       Date:  2022-04-26       Impact factor: 1.337

3.  Risk of malignancy in patients with chronic kidney disease.

Authors:  Ketki K Tendulkar; Brendan Cope; Jianghu Dong; Troy J Plumb; W Scott Campbell; Apar Kishor Ganti
Journal:  PLoS One       Date:  2022-08-17       Impact factor: 3.752

  3 in total

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