Lung cancer mortality attributable to smoking: a multi-scenario analysis with variable lag periods

SAM estimates differ depending on the methods and lags used. Applying a 15-year or 20-year lag PDM yields higher SAM estimates than when no lag PDM or a PIM is used. Therefore, when feasible, smoking prevalence data that incorporate a lag of 15 or 20 years between exposure and result should be used for accurate estimates.

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Publication Details

Journal
Annals of Epidemiology
Published
2025-10-09
DOI
https://doi.org/10.1016/j.annepidem.2025.10.011
Primary Topic
Cancer Risks and Factors
Type
article
Field-Weighted Citation Impact
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article

Lung cancer mortality attributable to smoking: a multi-scenario analysis with variable lag periods

Julia Rey‐Brandariz, Alberto Ruano‐Raviña, María Isolina Santiago-Pérez, Lucia Martin‐Gisbert et al.
Annals of Epidemiology
Cancer Risks and Factors
article

Lung cancer mortality attributable to smoking: a multi-scenario analysis with variable lag periods

Julia Rey‐Brandariz, Alberto Ruano‐Raviña, María Isolina Santiago-Pérez, Lucia Martin‐Gisbert, Esther López‐Vizcaíno, Mónica Pérez‐Ríos, Guadalupe García, Ana Teijeiro, Carla Guerra-Tort
article en

Abstract

SAM estimates differ depending on the methods and lags used. Applying a 15-year or 20-year lag PDM yields higher SAM estimates than when no lag PDM or a PIM is used. Therefore, when feasible, smoking prevalence data that incorporate a lag of 15 or 20 years between exposure and result should be used for accurate estimates.

Annals of EpidemiologyVol. 111
Universidade de Santiago de Compostela (ES), Centro de Supercomputación de Galicia (ES), Regional Health (US)
Openalex Percentile: Top 61%
Cancer Risks and Factors
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