Demographic Characteristics and Initial Diagnostic Staging of Patients with Non-Small Cell Lung Cancer across Large Community Health Systems in the US

Author(s)

Lorenzo R, Pomerantz D, Subramanian V, Tran M, Rioth M, Berry A, Walters S, Wolf F, Sommers C, Chen W, Wolfe T, Brown T
Syapse, San Francisco, CA, USA

OBJECTIVES: Community health systems play a large role in the care of patients with cancer with these systems treating over 50% of patients with cancer across the US. The profile of patients with lung cancer seen in community health systems within the US are not widely published. This analysis describes the demographic and diagnostic staging characteristics of patients with Non-Small Cell Lung Cancer (NSCLC) treated across a sample of community health systems.

METHODS: A retrospective analysis was performed utilizing the Syapse Learning Health Network (SLHN), an electronic medical record (EMR) derived database that collects cancer care data from multiple care settings that make up the US community health systems across 33 states, 450+ hospitals and 1,900+ community employed oncologists. Patients aged >18 yo at NSCLC diagnosis from January 1, 2010 through June 22, 2021 were identified from the SLHN using ICD-10 codes. Data utilized for this analysis included both structured data (set EMR fields like sex, birth date) and unstructured data (physician notes) validated by Syapse’s Certified Tumor Registrars and then descriptively summarized.

RESULTS: 18,489 patients from the SLHN with NSCLC were included in the analysis. Patient demographics included: median age of 69 years at initial lung cancer diagnosis; 52% female, 48% male; 76% White, 13% Black, 2% Asian, 9% other/unknown; 2% of Hispanic/Latino ethnicity. 18,489 patients had stage at diagnosis available and in turn 49% were diagnosed in the early stages (0-IIIA), 44% were diagnosed with advanced disease (IIIB+) and 8% were unknown.

CONCLUSIONS: Patients with NSCLC treated in community health systems within the SLHN were elderly, skewed slightly more female and predominantly white. Four out of ten of these NSCLC patients were diagnosed with advanced disease indicating further opportunity to explore clinical aspects of these patients to help with earlier detection.

Conference/Value in Health Info

2021-11, ISPOR Europe 2021, Copenhagen, Denmark

Value in Health, Volume 24, Issue 12, S2 (December 2021)

Code

POSC408

Topic

Real World Data & Information Systems

Topic Subcategory

Health & Insurance Records Systems

Disease

Oncology

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