Evidence map›Paper›PMID 37579673›Full record

ArticleCancer epidemiology2023

The economic impact of cancer mortality among working-age individuals in Brazil from 2001 to 2030.

Marianna De Camargo Cancela, Jonas Eduardo Monteiro Dos Santos, Leonardo Borges Lopes de Souza, Luís Felipe Leite Martins, Dyego Leandro Bezerra de Souza, Anton Barchuk, Paul Hanly, Linda Sharp, Isabelle Soerjomataram, Alison Pearce

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 6 countries.

Marianna De Camargo CancelaDivision of Surveillance and Data Analysis, Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Ministry of Health, Rio de Janeiro, Brazil. Electronic address: marianna.cancela@inca.gov.br.
Jonas Eduardo Monteiro Dos SantosDivision of Surveillance and Data Analysis, Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Ministry of Health, Rio de Janeiro, Brazil.
Leonardo Borges Lopes de SouzaDivision of Surveillance and Data Analysis, Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Ministry of Health, Rio de Janeiro, Brazil.
Luís Felipe Leite MartinsDivision of Surveillance and Data Analysis, Coordination of Prevention and Surveillance, Brazilian National Cancer Institute, Ministry of Health, Rio de Janeiro, Brazil.
Dyego Leandro Bezerra de SouzaDepartment of Collective Health, Universidade Federal do Rio Grande do Norte, Natal, Brazil.
Anton BarchukFaculty of Social Sciences, Health Sciences, Tampere University, Finland.
Paul HanlySchool of Business, National College of Ireland, Dublin, Ireland.
Linda SharpPopulation Health Sciences Institute, Newcastle University Centre for Cancer, University of Newcastle, Newcastle Upon Tyne, United Kingdom.
Isabelle SoerjomataramCancer Surveillance Unit, International Agency for Research on Cancer, Lyon, France.
Alison PearceDaffodil Centre, The University of Sydney, a joint venture with Cancer Council NSW, School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
Ministério da Saúde · BRCentre international de recherche sur le cancer · FRNational College of Ireland · IENewcastle University · GBTampere University · FIThe University of Sydney · AUUniversidade Federal do Rio Grande do Norte · BR

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundAbout half of cancer deaths in Brazil occur among individuals of working-age (under 65 years for men, under 60 for women), resulting in a substantial economic impact for the country. We aimed to estimate the years of potential productive life lost (YPPLL) and value the productivity lost due to premature deaths from cancer between 2001 and 2015 and the projected to 2030.

methodsWe used the Human Capital Approach to estimate the productivity losses corresponding to YPPLL for cancer deaths in working age people (15-64 years). Mortality data were obtained from the Mortality Information System from 2001 to 2015 and projected between 2016 and 2030. Economic data were obtained from the Continuous National Household Sample Survey and forecasted to 2030. Productivity lost was calculated as the monetary value arising from YPPLL in Int$(2016).

resultsBetween 2001 and 2030, a total of 2.3 million premature deaths from all cancers combined were observed and forecasted in Brazil (57% men, 43% women), corresponding to 32 million YPPLL and Int$141.3 billion in productivity losses (men: Int$102.5 billion, women: Int$38.8 billion). Between 2001 and 2030, among men, lung (Int$ 12.6 billion), stomach (Int$ 10.6 billion) and colorectal (Int$ 9.4 billion) cancers were expected to contribute to the greatest productivity losses; and among women, it will be for breast (Int$ 10.0 billion), cervical (Int$ 6.4 billion) and colorectal (Int$ 3.2 billion) cancers.

conclusionsMany preventable cancers result in high lost productivity, suggesting measure to reduce smoking prevalence, alcohol consumption, physical inactivity and inadequate diet, improving screening programs and increasing vaccination coverage for human papillomavirus and hepatitis B would have a positive impact on the economy, as well as reducing morbidity and mortality from cancer.

Indexed as

Cost of IllnessMortality, PrematureNeoplasmsAdolescentAdultAgedBrazilEfficiencyFemaleHumansMaleMiddle AgedYoung AdultCancerCancer mortalityHuman capital approachIndirect costsProductivity loss

Identifiers

PMID37579673
PMCPMC10577440
OpenAlexW4385785989

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.