Overview of approaches to estimate real-world disease progression in lung cancer.

ABSTRACT:

Background

Randomized clinical trials of novel treatments for solid tumors normally measure disease progression using the Response Evaluation Criteria in Solid Tumors. However, novel, scalable approaches to estimate disease progression using real-world data are needed to advance cancer outcomes research. The purpose of this narrative review is to summarize examples from the existing literature on approaches to estimate real-world disease progression and their relative strengths and limitations, using lung cancer as a case study.

Methods

A narrative literature review was conducted in PubMed to identify articles that used approaches to estimate real-world disease progression in lung cancer patients. Data abstracted included data source, approach used to estimate real-world pro

SUBMITTER: Amorrortu R 

PROVIDER: S-EPMC10637832 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature