ArticleJournal of health economics and outcomes research2020
JAK2 V617F as a Marker for Long-Term Disease Progression and Mortality in Polycythemia Vera and its Role in Economic Modeling.
Article in Journal of health economics and outcomes research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Cost-effectiveness analysis of ropeginterferon alfa-2b for the management of patients with polycythemia vera in Japan.International journal of hematology · 2026Article
- Clinical Impact ofTurkish journal of haematology : official journal of Turkish Society of Haematology · 2023Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIn order to facilitate sound economic evaluations of novel treatments, health-economic models of polycythemia vera (PV) must combine effects on surrogate endpoints in trials with disease progression (DP) and mortality in long-term cohort data.
objectiveWe validate an economic model for PV that uses Janus Kinase 2 (JAK2) burden as a surrogate endpoint to predict DP (thrombosis, myelofibrosis, and acute leukemia) and overall survival (OS) based on progression-specific mortality.
methodsLong-term observational studies that include information about baseline JAK2 burden were identified via PubMed searches and used to validate the model. Kaplan-Meier (KM) OS curves were extracted using a digitizing software. External validity of the model was analyzed by visually comparing OS curves of the model with the KM curves of the included studies, as well as calculating differences in mean OS estimated as area under the curve (AUC).
resultsThe model's predictions of cumulative DP were somewhat lower than the published studies. Over 20 years' time, our base case model predicted a mean OS for a PV patient (15.0-16.5 years), which was in line with the published studies (15.8-17.5 years). Modeled mean OS was almost two years longer (1.6-1.9 years) for patients with JAK2 <50% than patients with JAK2 ≥50%. Only three long-term observational studies that satisfied the predefined criteria were found and could be used in the validation, but these studies did not capture JAK2 evolution over time. Improved model predictions of DP and mortality based on the longitudinal evolution of JAK2 could be derived from real-world data sources. Such data are currently scarce and future observational studies should be designed to capture the long-term impact of JAK2 on DP and mortality in PV.
conclusionsOur model, based on JAK2 burden as a marker for DP, generated OS estimations that are in line with results of published data.
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