Abstract
Uveal melanoma (UM) is fatal in ~50% of patients as a result of disseminated disease. This study aims to externally validate the Liverpool Uveal Melanoma Prognosticator Online V3 (LUMPO3) to determine its reliability in predicting survival after treatment for choroidal melanoma when utilizing external data from other ocular oncology centers. Anonymized data of 1836 UM patients from seven international ocular oncology centers were analyzed with LUMPO3 to predict the 10-year survival for each patient in each external dataset. The analysts were masked to the patient outcomes. Model predictions were sent to an independent statistician to evaluate LUMPO3’s performance using discrimination and calibration methods. LUMPO3’s ability to discriminate between UM patients who died of metastatic UM and those who were still alive was fair-to-good, with C-statistics ranging from 0.64 to 0.85 at year 1. The pooled estimate for all external centers was 0.72 (95% confidence interval: 0.68 to 0.75). Agreement between observed and predicted survival probabilities was generally good given differences in case mix and survival rates between different centers. Despite the differences between the international cohorts of patients with primary UM, LUMPO3 is a valuable tool for predicting all-cause mortality in this disease when using data from external centers.
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 477 |
| Zeitschrift | Cancers |
| Jahrgang | 12 |
| Ausgabenummer | 2 |
| ISSN | 2072-6694 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 02.2020 |
Fördermittel
Funding: This research received no external funding. Alda Cunha Rola (Ophthalmologist) is undertaking a PhD with LOORG (www.loorg.org), and this studentship is sponsored by the National Institute of Scholarship Management (INAGBE-Angola).
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 3 – Gesundheit und Wohlergehen
-
SDG 9 – Industrie, Innovation und Infrastruktur
Strategische Forschungsbereiche und Zentren
- Profilbereich: Lübeck Integrated Oncology Network (LION)
Fingerprint
Untersuchen Sie die Forschungsthemen von „Multicenter external validation of the liverpool uveal melanoma prognosticator online: An OOG collaborative study“. Zusammen bilden sie einen einzigartigen Fingerprint.Zitieren
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver