Evidence mapPaperPMID 42484108Full record

ArticleArquivos de gastroenterologia2026

TEMPORAL TRENDS IN PANCREATIC CANCER MORTALITY IN BRAZIL BETWEEN 1980 AND 2023: ARE WE ALIGNED WITH THE GLOBAL PROJECTIONS?

Lucas Casagrande Passoni Lopes, Isabela Ussifati Negrine, Carlos Antonio Negrato

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Article in Arquivos de gastroenterologia, 2026. 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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0citing papers in PubMed
field-weighted citation impact
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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Lucas Casagrande Passoni LopesUniversidade de São Paulo, Faculdade de Medicina de Bauru, Bauru, São Paulo , Brazil.ORCID http://orcid.org/0009-0006-3205-7249
Isabela Ussifati NegrineUniversidade de São Paulo, Faculdade de Medicina de Bauru, Bauru, São Paulo , Brazil.ORCID http://orcid.org/0009-0008-6758-3200
Carlos Antonio NegratoUniversidade de São Paulo, Faculdade de Medicina de Bauru, Bauru, São Paulo , Brazil.ORCID http://orcid.org/0000-0003-3720-1183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic cancer (PC) is a highly lethal malignancy with rising incidence and mortality rates, although its burden remains poorly investigated in Brazil. Understanding its regional and sex-specific trends is critical for tailoring public health interventions and mitigating the disease's impact in the Brazilian population.

objectiveThis study aimed to evaluate the temporal trends in PC mortality among Brazilian individuals between 1980 and 2023 and its alignment with the global projections.

methodsThis retrospective, population-based ecological study analyzed PC mortality data using the Sistema de Informação de Mortalidade (SIM) and demographic data from the Instituto Brasileiro de Geografia e Estatística (IBGE). Annual Percent Change (APC) calculations were performed to assess temporal trends by Brazilian geographic regions and sex, accounting for demographic shifts over time.

resultsA total of 257,671 PC-related deaths occurred during the study period, averaging 5,856 deaths per year. The overall mortality trend for PC in Brazil showed a continuous increase of (APC: 1.23; 95%CI: 1.16-1.32; P-value <0.01). Regional analyses revealed significant increases in the North (APC: 2.32), South (APC: 0.59), and Midwest (APC: 1.45) regions. Sex-specific trends indicated a steady increase for women throughout the period, while men experienced alternating phases of rising and stationary trends.

conclusionPC mortality in Brazil has risen significantly over the past four decades, with marked regional and sex-specific disparities, aligning with global perspectives. These findings highlight the need for targeted PC prevention, early detection, and equitable access to high-quality cancer care, particularly in vulnerable regions and populations.

Indexed as

Pancreatic NeoplasmsAgedBrazilFemaleForecastingHumansMaleMiddle AgedMortalityRetrospective StudiesSex DistributionTime Factors

Identifiers

PMID42484108
PMCPMC13384411

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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 Socratic graph.