Evidence map›Paper›PMID 38622563›Full record

ArticleBMC cancer2024

Proportion of cancer cases and deaths attributable to potentially modifiable risk factors in Peru.

Jhony A De La Cruz-Vargas, Willy Ramos, Willer Chanduví, Lucy E Correa-López, Nadia Guerrero, Joan Loayza-Castro, Irene Tami-Maury, Diego Venegas

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2024. 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
2.0field-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, 7 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

8 authors at 3 institutions in 2 countries.

Jhony A De La Cruz-VargasInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú. jhony.delacruz@urp.edu.pe.ORCID http://orcid.org/0000-0002-5592-0504
Willy RamosInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú.ORCID http://orcid.org/0000-0003-1599-7811
Willer ChanduvíInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú.ORCID http://orcid.org/0000-0001-7163-6856
Lucy E Correa-LópezInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú.ORCID http://orcid.org/0000-0001-7892-4391
Nadia GuerreroInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú.ORCID http://orcid.org/0000-0001-7442-2060
Joan Loayza-CastroInstituto de Investigaciones en Ciencias Biomédicas (INICIB), Universidad Ricardo Palma, Lima, Perú.ORCID http://orcid.org/0000-0001-6495-6501
Irene Tami-MauryThe University of Texas Health Science Center at Houston, Houston, USA.ORCID http://orcid.org/0000-0002-1404-8641
Diego VenegasFacultad de Ciencias e Ingeniería, Universidad Peruana Cayetano Heredia, Lima, Perú.ORCID http://orcid.org/0000-0003-1704-888X
Universidad Ricardo Palma · PEThe University of Texas Health Science Center at Houston · USUniversidad Peruana Cayetano Heredia · PE

Funding

Ricardo Palma University ACU N0 2619-2019
6 · The paper itself

Abstract

backgroundLimited evidence exists on the population attributable fraction (PAF) of cancer cases and deaths in Latin America. In Peru several studies have been published regarding the PAF of various risk factors and their associated diseases. The objective of this study was to estimate the fraction of cancer cases and deaths attributable to potentially modifiable risk factors in Peru in 2018, before the COVID-19 pandemic in the population of 15 years old and older.

methodsAn ecological study was conducted using the prevalence of exposure of the Peruvian population to modifiable risk factors for cancer, the relative risk associated with each factor, and the number of cancer cases and deaths in 2018 as inputs. We used the Parkin formula with a Montecarlo statistical simulation model to calculate the PAF and confidence intervals. The number of new cancer cases and deaths attributed to each risk factor was determined by multiplying the number of cases and deaths in each gender by the PAF of each risk factor.

findingsIn Peru, 38.5% of new cases (34.5% in men and 42% in women) and 43.4% of cancer-related deaths (43.4% in men and 43.4% in women) were attributable to modifiable risk factors. The number of cancers attributable was 25,308 (10,439 in men and 14,869 in women) and the number of deaths attributable to cancer was 14,839 (6,953 in men and 7,886 in women). The predominant modifiable risk factors contributing to the highest number of cases and deaths were HPV infection (4,563 cases, 2,409 deaths), current tobacco use (3,348 cases, 2,180 deaths), and helicobacter pylori infection (2,677 cases, 1,873 deaths). Among the risk factors, oncogenic infections constituted the group with the highest PAF (16.6% for cases, 19.2% for deaths) followed by other unhealthy lifestyle factors (14.2% for cases, 16.7% for deaths), tobacco (7.2% for cases, 7.2% for deaths) and ultraviolet radiation (0.5% for cases, 0.3% for deaths).

conclusionsPrior to the COVID-19 pandemic, 38.5% of cancer cases and 43.4% of cancer-related deaths in Peru were linked to modifiable risk factors in the population of 15 years old and older. Most preventable cancer cases and deaths were related to oncogenic infections, primarily caused by HPV and helicobacter pylori, followed by tobacco and obesity.

Indexed as

COVID-19Helicobacter InfectionsHelicobacter pyloriNeoplasmsPapillomavirus InfectionsAdolescentFemaleHumansMalePandemicsPeruRisk FactorsUltraviolet RaysCancerLifestyleModifiable risk factorsPeruPopulation attributable fractionPreventive medicine

Identifiers

PMID38622563
PMCPMC11020925
OpenAlexW4394821475

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.