Evidence map›Paper›PMID 29361933›Full record

ArticleBMC oral health2018

Spatial analysis of the death associated factors due oral cancer in Brazil: an ecological study.

Gisele Pedroso Moi, Ageo Mário Cândido Silva, Noemi Dreyer Galvão, Marcelo de Castro Meneghim, Antonio Carlos Pereira

Abstract read
In one paragraph

Article in BMC oral health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Association of Socioeconomic Status and Oral Cancer Mortality in Brazil: Temporal Trends and Spatial Distribution.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2023
    Observational
  8. Article
  9. Bolsa Família Program and deaths from oral cancer in Brazil: an ecological study.Revista panamericana de salud publica = Pan American journal of public health · 2022
    Article
  10. Article
  11. Article
  12. Review
  13. Observational
  14. Article
  15. Geographical Variation in Oral and Oropharynx Cancer Mortality in Brazil: A Bayesian Approach.International journal of environmental research and public health · 2018
    Article
  16. Review
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

5 authors.

Gisele Pedroso MoiPiracicaba Dental School, Campinas State University - FOP.UNICAMP, Piracicaba, Brazil. gisele.pedroso.moi@gmail.com.
Ageo Mário Cândido SilvaInstitute of Public Health, Federal University of Mato Grosso - ISC.UFMT, Cuiabá, Brazil.
Noemi Dreyer GalvãoInstitute of Public Health, Federal University of Mato Grosso - ISC.UFMT, Cuiabá, Brazil.
Marcelo de Castro MeneghimPiracicaba Dental School, Campinas State University - FOP.UNICAMP, Piracicaba, Brazil.
Antonio Carlos PereiraPiracicaba Dental School, Campinas State University - FOP.UNICAMP, Piracicaba, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOral cancer (OC) is among the ten most common cancers and the seventh most frequent cause of death worldwide. It has been reported that these incidence rates are higher in developed country and these mortality rates are higher in less developed areas. So, the objective of the present study was to analyze the spatial joint distribution and to explore possible associations of the epidemiological aspects with mortality rates due to OC in the Brazil.

methodsAn exploratory ecological study investigated the global spatial autocorrelation of epidemiological aspects with mortality rates due to OC from the Brazilian Federative Units (FUs) (n = 27) in the period 2005-2014, using the "global" and "local" Moran statistic method and a multiple spatial regression, having as variables of exposure the habits and lifestyle, sociodemographic indicators, the consumption of pesticides, the presence of comorbidities, the use of health services and food consumption; and, as a variable response, mortality rates due to OC. The software used was Stata 11.0, SPSS 18.0 and GeoDa 0.95-i.

resultsThe spatial distribution of OC mortality rates to age-standard was not random and showed high spatial autocorrelation and predominance of significant spatial groupings in the Central-South region of Brazil. In the multiple regression, statistically negative associations were observed between the Human Development Index (HDI) and OC age-standardized in the studied period (p < 0.05) and positive associations among the proportion of the population with dental appointment within last year, percentage of consumption of oils and fats, percentage of consumption of ready-to-eat foods and industrial mixtures and percentage of overweight adults with this type of cancer (p < 0.05).

conclusionThis is the first study that analyzed the factors associated to the spatial clusters of mortality due to oral cancer in the Brazilian FUs. A fairly unequal distribution of OC mortality rates was found, being that these rates presented inverse association with HDI and direct association with dental appointment, consumption of oils and fats, ready-to-eat foods and industrial mixtures consumption and overweight these rates. It suggests the need to redirect Brazilian public policies aimed at combating them so that they cease to be temporary and become permanent.

Indexed as

AdultBrazilComorbidityDietEcologyEnvironmental ExposureFemaleHealth ServicesHumansLife StyleMaleMouth NeoplasmsPesticidesRisk FactorsSocioeconomic FactorsSpatial AnalysisPesticidesEcological studiesEpidemiologyMortalityMouth NeoplasmsRisk factorsSpatial analysis

Identifiers

PMID29361933
PMCPMC5781345

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.