Determining Line of Therapy from Real-World Data in Non-Small Cell Lung Cancer.

doi:10.1002/pds.70049

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Community

Back to search

Article

Determining Line of Therapy from Real-World Data in Non-Small Cell Lung Cancer.

Pharmacoepidemiology and drug safety - 1 Dec 2024

Grady Connor B, Hwang Wei-Ting, Reuss Joshua E, Iams Wade, Cass Amanda, Liu Geoffrey, Patel Devalben, Liu Stephen V, Montenegro Gabriela Liliana Bravo, Patil Tejas, Nieva Jorge J, Herrmann Amanda, Marrone Kristen A, Lam Vincent K, Schwartzman William, Dowell Jonathan, Villaruz Liza C, Miller Kelsey Leigh, Weiss Jared, Sun Fangdi, Velcheti Vamsidhar, Camidge D Ross, Aggarwal Charu, Sun Lova, Marmarelis Melina E

Abstract excerpt

INTRODUCTION: Determining lines of therapy (LOT) using real-world data is crucial to inform clinical decisions and support clinical research. Existing rules for determining LOT in patients with metastatic non-small cell lung cancer (mNSCLC) do not incorporate the growing number of targeted therapies used in treatment today. Therefore, we propose rules for determining LOT from real-world data of patients with...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Anaplastic Lymphoma Kinase

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Carcinoma, Non-Small-Cell Lung

Share to Cohort Studies

Share to Electronic Health Records

Share to ErbB Receptors

Share to Lung Neoplasms

Share to Molecular Targeted Therapy

Share to Registries

Source

Open in PubMed Open full text

Identifiers

PMID: 39586662
DOI: 10.1002/pds.70049
PMCID: PMC11588435

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Determining Line of Therapy from Real-World Data in Non-Small Cell Lung Cancer.PMID 39586662Read ↗

Determining Line of Therapy from Real-World Data in Non-Small Cell Lung CancerSemantic proximity Read ↗

Treatment Patterns Across Lines of Therapy for Advanced Non-Small Cell Lung Cancer in the United States.Semantic proximity Read ↗

Retrospective Analysis of Real-World Treatment Patterns and Clinical Outcomes in Patients With Advanced Non-Small Cell Lung Cancer Starting First-Line Systemic Therapy in the United KingdomSemantic proximity Read ↗

Real-world treatment patterns and attrition for non-driver mutation metastatic non-small cell lung cancer in the US.Semantic proximity Read ↗

First-line treatment patterns and real-world outcomes in patients with advanced KRAS-mutated non-small cell lung cancer with high unmet need.Semantic proximity Read ↗

Temporal phenotyping by mining healthcare data to derive lines of therapy for cancer.Semantic proximity Read ↗

Real-World Patient Characteristics, Treatment Patterns, and Mutation Testing Patterns Among US Patients with Advanced Non-Small Cell Lung Cancer Harboring EGFR Mutations.Semantic proximity Read ↗

Real-world treatment patterns of metastatic non-small cell lung cancer patients receiving epidermal growth factor receptor tyrosine kinase inhibitors.Semantic proximity Read ↗

Real-world outcomes among patients with EGFR-mutated non-small cell lung cancer treated with EGFR tyrosine kinase inhibitors versus immunotherapy or chemotherapy in the first-line setting.Semantic proximity Read ↗

HER2-Mutant Advanced and/or Metastatic Non-Small-Cell Lung Cancer: A US Electronic Health Records Database Analysis of Clinical Characteristics, Treatment Practice Patterns, and Outcomes.Semantic proximity Read ↗

Real-world treatment and healthcare resource utilization patterns among patients with advanced non-small cell lung cancer treated with amivantamab: a retrospective study using insurance claims data.Semantic proximity Read ↗

Molecular Pathology Testing for Non-small Cell Lung Cancer: An Observational Study of Elements Currently Present in Request Forms and Result Reports and The Opinion of Different StakeholdersSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.