Evidence map›Paper›PMID 25906105›Full record

ArticleMedicine2015

Cancer mortality in Brazil: Temporal Trends and Predictions for the Year 2030.

Isabelle R Barbosa, Dyego L B de Souza, María M Bernal, Íris do C C Costa

Abstract read
In one paragraph

Article in Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

13 citing papers in PubMed.

  1. Bridging the Gap: Addressing the Disparity Between Expectations and Practical Training in Oncology During Medical School.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
  2. Article
  3. Article
  4. Temporal trends and spatial clusters of gastric cancer mortality in Brazil.Revista panamericana de salud publica = Pan American journal of public health · 2022
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Genetic aberrations in multiple myeloma characterized by cIg-FISH: a Brazilian context.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2016
    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

4 authors.

Isabelle R BarbosaFrom the Graduate Program in Collective Health (IRB); Department of Collective Health (DLBDS); Department of Odontology, Federal University of Rio Grande do Norte, Natal, Brazil (IDCCC); Department of Microbiology, Preventive Medicine and Public Health, University of Zaragoza, Zaragoza, Spain (MMB).
Dyego L B de Souza
María M Bernal
Íris do C C Costa

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is currently in the spotlight due to their heavy responsibility as main cause of death in both developed and developing countries. Analysis of the epidemiological situation is required as a support tool for the planning of public health measures for the most vulnerable groups. We analyzed cancer mortality trends in Brazil and geographic regions in the period 1996 to 2010 and calculate mortality predictions for the period 2011 to 2030.This is an epidemiological, demographic-based study that utilized information from the Mortality Information System on all deaths due to cancer in Brazil. Mortality trends were analyzed by the Joinpoint regression, and Nordpred was utilized for the calculation of predictions.Stability was verified for the female (annual percentage change [APC] = 0.4%) and male (APC = 0.5%) sexes. The North and Northeast regions present significant increasing trends for mortality in both sexes. Until 2030, female mortality trends will not present considerable variations, but there will be a decrease in mortality trends for the male sex. There will be increases in mortality rates until 2030 for the North and Northeast regions, whereas reductions will be verified for the remaining geographic regions. This variation will be explained by the demographic structure of regions until 2030.There are pronounced regional and sex differences in cancer mortality in Brazil, and these discrepancies will continue to increase until the year 2030, when the Northeast region will present the highest cancer mortality rates in Brazil.

Indexed as

BrazilFemaleHumansMaleNeoplasmsResidence CharacteristicsSex DistributionSocioeconomic Factors

Identifiers

PMID25906105
PMCPMC4602680

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Registered trials

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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.