ArticleJCO oncology practice2026
Temporal Association of US Tobacco Taxation on Smoking Attributable Bladder Cancer Mortality and Disability-Adjusted Life Years.
Article in JCO oncology practice, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
5 authors.
Funding
Abstract
purposeThe causal link between smoking and bladder cancer (BC) development is well established but the long-term impact of tobacco taxation and health policy on BC mortality and disability-adjusted life years (DALYs) has not been fully elucidated. Given the protracted latency of carcinogenesis, this study examines whether historical changes in tobacco taxation and smoke-free laws are associated with reductions in BC disease burden and mortality in the United States.
methodsSmoking-attributable BC mortality and DALY data, and federal and state tobacco taxation data were differenced as time series to achieve stationarity. Cross-correlation analysis identified optimal lag times. A semilogarithmic multivariable linear regression was used to estimate the percent change in BC outcomes per 1% increase in tobacco tax. Analyses were adjusted for national health expenditures and stratified by state.
resultsThe median lag time between tobacco tax changes and smoking-attributable BC mortality was 17 years, whereas the lag to DALYs was 24 years. National-level regression showed no significant association between taxation and BC mortality (-0.09%,
conclusionTobacco taxation is significantly associated with long-term reductions in smoking-attributable BC mortality and DALYs at the state level, but not nationally. These findings demonstrate the importance of adjunctive localized public health policy and the delayed impact of tobacco control measures on cancer outcomes. Further investigation is warranted to understand the mechanisms driving state-level variability and to inform targeted prevention strategies.
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