Development, Validation, and Clinical Utility of Electronic Patient-Reported Outcome Measure-Enhanced Prediction Models for Overall Survival in Patients With Advanced Non–Small Cell Lung Cancer Receiving Immunotherapy
The ePROM-enhanced models outperformed the clinical factor-only model in predicting 1-year overall survival for patients with advanced NSCLC receiving immunotherapy and showed potential clinical utility for informing decisions in this population. Future studies should focus on validating the models in external data sets.
Authors
- Corinne Faivre‐Finn (ORCID: https://orcid.org/0000-0001-5617-9781)
- Matthew Sperrin (ORCID: https://orcid.org/0000-0002-5351-9960)
- Janelle Yorke (ORCID: https://orcid.org/0000-0002-1344-5944)
- Sabine N van der Veer (ORCID: https://orcid.org/0000-0003-0929-436X)
- Fábio Gomes (ORCID: https://orcid.org/0000-0003-0922-2665)
- Kuan Fu Liao (ORCID: https://orcid.org/0000-0002-8840-0599)
Institutions
- Manchester Academic Health Science Centre (GB)
- University of Manchester (GB)
- Cancer Research UK Manchester Institute (GB)
- The Christie NHS Foundation Trust (GB)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2024-11-26
- DOI
- https://doi.org/10.1200/cci.24.00035
- Citations
- 2
- Primary Topic
- Lung Cancer Treatments and Mutations
- Type
- article
- Field-Weighted Citation Impact
- 0.84