Evidence map›Paper›PMID 39363189›Full record

ArticleBMC public health2024

Lung cancer and smoking: years lived with disability in Tuscany (Italy). An analysis from the ACAB study.

Maria Chiara Malevolti, Michela Baccini, Adele Caldarella, Giorgio Garofalo, Giuseppe Gorini, Miriam Levi, Gianfranco Manneschi, Giovanna Masala, Lorenzo Monasta, Fancesco Profili and 1 more

Abstract read
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Article in BMC public health, 2024. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Maria Chiara MalevoltiInstitute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, Florence, 50139, Italy.
Michela BacciniDepartment of Statistics, Computer Science, Applications "Giuseppe Parenti" (DiSIA), University of Florence, Florence, Italy.
Adele CaldarellaInstitute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, Florence, 50139, Italy.
Giorgio GarofaloPublic Hygiene and Nutrition Unit, Department of Prevention, Local Health Authority Tuscany Centre, Florence, Italy.
Giuseppe GoriniInstitute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, Florence, 50139, Italy.
Miriam LeviEpidemiology Unit, Department of Prevention, Local Health Authority Tuscany Centre, Florence, Italy.
Gianfranco ManneschiInstitute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, Florence, 50139, Italy.
Giovanna MasalaInstitute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, Florence, 50139, Italy.
Lorenzo MonastaInstitute for Maternal and Child Health - IRCCS "Burlo Garofolo", Trieste, Italy.
Fancesco ProfiliHealth Agency of Tuscany, Florence, Italy.
Giulia CarrerasInstitute for Cancer Research, Prevention and Clinical Network (ISPRO), Via Cosimo il Vecchio 2, Florence, 50139, Italy. g.carreras@ispro.toscana.it.

Funding

Regione Toscana Bando Ricerca Salute 2018
6 · The paper itself

Abstract

backgroundLung cancer (LC) is among the most common neoplasms, mostly caused by smoking. This study, carried out within the ACAB project, aims to provide local, updated and systematic estimates of years lived with disability (YLD) from LC due to smoking in the Tuscany region, Italy.

methodsWe estimated YLD for the year 2022 for the whole region and at subregional level by local health unit (LHU) using data from the Tuscany Cancer Registry and local surveys. YLD were calculated by applying the severity-specific LC prevalence, estimated with an incidence-based disease model, to the corresponding disability weight. The burden from smoking was computed by: modelling the prevalence of smokers with a Bayesian Dirichlet-Multinomial regression model; estimating the distribution of smokers by pack-years simulating individual smoking histories; collecting relative risks from the literature.

resultsIn 2022 in Tuscany, LC caused 7.79 (95% uncertainty interval [UI] = 2.26, 17.27) and 25.50 (95% UI = 7.30, 52.68) YLDs per 100,000 females and males, respectively, with slight variations by LHU, and 53% and 66% of the YLDs were caused by smoking.

conclusionThe updated estimates of the burden of LC attributable to smoking for the Tuscany region as a whole and for each LHU provide indications to inform strategic prevention plans and set public health priorities. The impact of smoking on YLDs from LC is not negligible and heterogeneous by LHU, thus requiring local interventions.

Indexed as

Lung NeoplasmsSmokingAdultAgedAged, 80 and overBayes TheoremFemaleHumansItalyMaleMiddle AgedPersons with DisabilitiesPrevalenceRegistriesBurden of diseaseLung cancerSmokingYears lived with disability

Identifiers

PMID39363189
PMCPMC11447970

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.