Evidence map›Paper›PMID 27681081›Full record

ArticleInternational journal for equity in health2016

Geographic variations in cervical cancer risk in San Luis Potosí state, Mexico: A spatial statistical approach.

Mónica Terán-Hernández, Rebeca Ramis-Prieto, Jaqueline Calderón-Hernández, Carlos Félix Garrocho-Rangel, Juan Campos-Alanís, José Antonio Ávalos-Lozano, Miguel Aguilar-Robledo

Abstract read
In one paragraph

Article in International journal for equity in health, 2016. 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
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Mónica Terán-HernándezGeography Graduate Programme, Universidad Nacional Autónoma de México (UNAM), Ciudad de México, México. mteran@uaslp.mx.
Rebeca Ramis-PrietoDepartment of Environmental Epidemiology and Cancer, National Centre for Epidemiology, Carlos III Institute of Health (ISCIII), C/Monforte de Lemos 5, Pab. 12, 28029, Madrid, Spain.
Jaqueline Calderón-HernándezCentre of Applied Research in Environmental and Health, Coordination of Innovation and Application in Science and Technology, Universidad Autónoma de San Luis Potosí (UASLP), Unidad de Posgrado 550 Av. Sierra Leona, Lomas 2ª sección, San Luis Potosí, S.L.P., 78210, Mexico.
Carlos Félix Garrocho-RangelEl Colegio Mexiquense, A.C. Ex-Hacienda Santa Cruz de los Patos, Zinacantepec, CP 51350, Mexico.
Juan Campos-AlanísFaculty of Geography, Universidad Autónoma del Estado de México (UAEM), Cerro de Coatepec s/n Ciudad Universitaria, CP 50110, Toluca, Mexico.
José Antonio Ávalos-LozanoRegional Laboratory of Variability, Climate Change and Environmental Risk Assessment, Universidad Autónoma de San Luis Potosí (UASLP), Unidad de Posgrado 550 Av. Sierra Leona, Lomas 2ª sección, San Luis Potosí, S.L.P. 78210, Mexico.
Miguel Aguilar-RobledoFaculty of Social Sciences and Humanities, Universidad Autónoma de San Luis Potosí (UASLP), Campus Oriente, 101-A Av. Industrias, Fracc. Talleres, San Luis Potosí, S.L.P. 78399, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWorldwide, Cervical Cancer (CC) is the fourth most common type of cancer and cause of death in women. It is a significant public health problem, especially in low and middle-income/Gross Domestic Product (GDP) countries. In the past decade, several studies of CC have been published, that identify the main modifiable and non-modifiable CC risk factors for Mexican women. However, there are no studies that attempt to explain the residual spatial variation in CC incidence In Mexico, i.e. spatial variation that cannot be ascribed to known, spatially varying risk factors.

methodsThis paper uses a spatial statistical methodology that takes into account spatial variation in socio-economic factors and accessibility to health services, whilst allowing for residual, unexplained spatial variation in risk. To describe residual spatial variations in CC risk, we used generalised linear mixed models (GLMM) with both spatially structured and unstructured random effects, using a Bayesian approach to inference.

resultsThe highest risk is concentrated in the southeast, where the Matlapa and Aquismón municipalities register excessive risk, with posterior probabilities greater than 0.8. The lack of coverage of Cervical Cancer-Screening Programme (CCSP) (RR 1.17, 95 % CI 1.12-1.22), Marginalisation Index (RR 1.05, 95 % CI 1.03-1.08), and lack of accessibility to health services (RR 1.01, 95 % CI 1.00-1.03) were significant covariates.

conclusionsThere are substantial differences between municipalities, with high-risk areas mainly in low-resource areas lacking accessibility to health services for CC. Our results clearly indicate the presence of spatial patterns, and the relevance of the spatial analysis for public health intervention. Ignoring the spatial variability means to continue a public policy that does not tackle deficiencies in its national CCSP and to keep disadvantaging and disempowering Mexican women in regard to their health care.

Indexed as

Bayesian approachCervical cancerGeneralised lineal mixed modelsMéxicoSan Luis PotosíSpatial analysis

Identifiers

PMID27681081
PMCPMC5041341

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LicenceCC BY
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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.