Health and Economic Outcomes of Pembrolizumab in the Treatment of Metastatic Non-small Cell Lung Cancer (mNSCLC) and Melanoma in Italy

The analysis demonstrated that, compared with chemotherapy, pembrolizumab is more cost effective in Italy as a first-line treatment in patients with metastatic squamous or non-squamous NSCLC and, if compared with watchful waiting, as adjuvant treatment in patients with stage III melanoma. The present analysis suggested that pembrolizumab use could lead to important health benefits for patients while offsetting a portion of cancer care costs.

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Publication Details

Journal
Clinical Drug Investigation
Published
2024-08-01
DOI
https://doi.org/10.1007/s40261-024-01366-y
Citations
1
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
0.28

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article

Health and Economic Outcomes of Pembrolizumab in the Treatment of Metastatic Non-small Cell Lung Cancer (mNSCLC) and Melanoma in Italy

Francesco Saverio Mennini, Chiara Bini, Andrea Marcellusi, Martina Paoletti
1 citations
Clinical Drug Investigation
Cancer Immunotherapy and Biomarkers
0.28
article

Health and Economic Outcomes of Pembrolizumab in the Treatment of Metastatic Non-small Cell Lung Cancer (mNSCLC) and Melanoma in Italy

Francesco Saverio Mennini, Chiara Bini, Andrea Marcellusi, Martina Paoletti
article en
1 citations

Abstract

The analysis demonstrated that, compared with chemotherapy, pembrolizumab is more cost effective in Italy as a first-line treatment in patients with metastatic squamous or non-squamous NSCLC and, if compared with watchful waiting, as adjuvant treatment in patients with stage III melanoma. The present analysis suggested that pembrolizumab use could lead to important health benefits for patients while offsetting a portion of cancer care costs.

Clinical Drug InvestigationVol. 44(8)
University of Rome Tor Vergata (IT), Kingston University London (GB)
Università degli Studi di Roma Tor Vergata
Good health and well-being
Openalex Percentile: Top 37%
Cancer Immunotherapy and Biomarkers
0.28
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