Evidence map›Paper›PMID 38414564›Full record

ArticleFrontiers in public health2023

Exploring gender disparities in the disease and economic tobacco-attributable burden in Latin America.

Andrea Alcaraz, Elena Lazo, Agustín Casarini, Federico Rodriguez-Cairoli, Federico Augustovski, Ariel Bardach, Lucas Perelli, Alfredo Palacios, Andrés Pichon-Riviere, Natalia Espinola

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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 1 institution in 1 country.

Andrea AlcarazInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Elena LazoInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Agustín CasariniInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Federico Rodriguez-CairoliInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Federico AugustovskiInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Ariel BardachInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Lucas PerelliInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Alfredo PalaciosInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Andrés Pichon-RiviereInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Natalia EspinolaInstituto de Efectividad Clínica y Sanitaria (IECS), Institute for Clinical Efectiveness and Health Policy (IECS), Buenos Aires, Argentina.
Instituto de Efectividad Clínica y Sanitaria · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tobacco use has significant health consequences in Latin America, and while studies have examined the overall impact, the gender-specific effects have not been thoroughly researched. Understanding these differences is crucial for effective tobacco control policies. The objective of this study was to explore the differences in tobacco-attributable disease and economic burden between men and women in Argentina, Brazil, Chile, Colombia, Costa Rica, Ecuador, Mexico, and Peru. Methods: We used a previously validated economic model to quantify the impact of tobacco-related illnesses, including morbidity, mortality, healthcare costs, productivity losses, informal care expenses, and DALYs, by gender and age. We utilized data from national surveys, records, studies, and expert opinions to populate the model. Results: In 2020, there were 351,000 smoking-attributable deaths. Men accounted for 69% and women 31%. Ecuador and Mexico had the highest male-to-female death ratio, while Peru and Chile had the smallest disparities. 2.3 million tobacco-related disease events occurred, with 65% in men and 35% in women. Ecuador and Mexico had higher disease rates among men, while Peru had a more balanced ratio. Regarding DALYs, men lost 6.3 million due to tobacco, while women lost 3.3 million, primarily from COPD, cardiovascular disease, and cancer. Brazil and Mexico had the highest DALY losses for both genders. Costa Rica had a lower male-to-female tobacco use prevalence ratio but ranked second in deaths, disease events, and DALYs attributed to tobacco. Colombia had a unique pattern with a male-to-female death ratio of 2.08 but a higher ratio for disease events. The health systems spent $22.8 billion to treat tobacco-attributable diseases, with a male-to-female cost ratio 2.15. Ecuador showed the greatest gender cost difference, while Peru had the lowest. Productivity loss due to tobacco was $16.2 billion, with Ecuador and Mexico exhibiting the highest gender disparities and Peru the lowest. Informal care costs amounted to $10.8 billion, with men incurring higher costs in Ecuador, Costa Rica, and Mexico. Discussion: Tobacco causes significant health and economic burdens in Latin America, with gender-based differences. There is a need for gender-disaggregated data to improve tobacco control policies.

Indexed as

Financial StressSmokingFemaleHumansLatin AmericaMaleMexicoTobacco Productsburden of diseasegenderhealth disparitiesLatin Americatobacco use

Identifiers

PMID38414564
PMCPMC10898166
OpenAlexW4391751300

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.