Implementation and Effectiveness of Novel Therapeutic Substances for Advanced Malignant Melanoma in Saxony, Germany, 2010-2020-Cohort Study Based on Administrative Data.

immune checkpoint inhibitor therapy metastatic melanoma statutory health insurance data survival targeted therapy

Journal

Cancers
ISSN: 2072-6694
Titre abrégé: Cancers (Basel)
Pays: Switzerland
ID NLM: 101526829

Informations de publication

Date de publication:
07 Dec 2021
Historique:
received: 12 11 2021
revised: 30 11 2021
accepted: 03 12 2021
entrez: 24 12 2021
pubmed: 25 12 2021
medline: 25 12 2021
Statut: epublish

Résumé

(1) Background: Targeted (TT) and immune checkpoint inhibitor (ICI) therapies have become available in the routine care of metastatic melanoma in recent years. (2) Objective: We compared mortality in patients with metastatic melanoma and different systemic therapies. (3) Methods: A retrospective cohort study, based on pseudonymized health insurance data of about two million individuals from Saxony, Germany, was conducted for the years 2010 to 2020. Only patients with an advanced stage, i.e., distant metastases were considered for the main analysis. Relative survival since metastasis and predicted survivor curves derived from a Cox model were used to assess potential differences in mortality. (4) Results: Relative survival was highest in the subgroup with sequential use of ICI and TT. All treatments except interferon had significant hazard ratios (HR) in the Cox model with time-dependent effects indicating a protective effect after treatment initiation (HR 0.01-0.146) but decreasing over time (HR 1.351-2.310). The predicted survivor curves revealed best survival under ICI-TT treatment and worst survival under TT treatment alone. (5) Conclusions: We found real-world evidence for survival benefits of patients with metastatic melanoma who received sequential ICI and TT treatment. It is conceivable that the observed high survival differences were overestimated due to bias, such as confounding by indication.

Identifiants

pubmed: 34944771
pii: cancers13246150
doi: 10.3390/cancers13246150
pmc: PMC8699477
pii:
doi:

Types de publication

Journal Article

Langues

eng

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Auteurs

Thomas Datzmann (T)

National Center for Tumor Diseases, 01307 Dresden, Germany.
German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
Helmholtz-Zentrum Dresden-Rossendorf (HZDR), 01328 Dresden, Germany.
Medizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.

Jochen Schmitt (J)

National Center for Tumor Diseases, 01307 Dresden, Germany.
German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
Helmholtz-Zentrum Dresden-Rossendorf (HZDR), 01328 Dresden, Germany.
Medizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.

Saskia Fuhrmann (S)

Medizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.
Hospital Pharmacy, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.

Martin Roessler (M)

Medizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.

Friedegund Meier (F)

National Center for Tumor Diseases, 01307 Dresden, Germany.
German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, 01307 Dresden, Germany.
Helmholtz-Zentrum Dresden-Rossendorf (HZDR), 01328 Dresden, Germany.
Medizinische Fakultät Carl Gustav Carus, Skin Cancer Center at the University Cancer Centre Dresden, Department of Dermatology, University Hospital Carl Gustav Carus, 01307 Dresden, Germany.

Olaf Schoffer (O)

Medizinische Fakultät Carl Gustav Carus, Center for Evidence-Based Healthcare, TU Dresden, 01307 Dresden, Germany.

Classifications MeSH