Evidence map›Paper›PMID 39502913›Full record

ArticleGlobal health, epidemiology and genomics2024

Regionalization of the Mortality Risk from Cardiomyopathy and Respiratory Diseases Based on the Maximum Entropy Model.

Raymundo Ordoñez-Sierra, Gabriela Domínguez-Cortinas, Iván Yassmany Hernández-Paniagua, José Luis Expósito-Castillo, Miguel A Gómez-Albores, María Guadalupe Rodríguez-Reyes, Brisa Violeta Carrasco-Gallegos, Luis Ricardo Manzano-Solís

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Global health, epidemiology and genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

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

8 authors.

Raymundo Ordoñez-SierraInstituto Interamericano de Tecnología y Ciencias Del Agua Universidad Autónoma Del Estado de México, Carretera Toluca-Atlacomulco, Km 14.5, Toluca, Estado de México, Mexico.
Gabriela Domínguez-CortinasUniversidad Autónoma de San Luis Potosí, Venustiano Carranza, San Luis Potosí 78210, Mexico.ORCID https://orcid.org/0000-0002-6747-6818
Iván Yassmany Hernández-PaniaguaInstituto de Ciencias de la Atmósfera y Cambio Climático Circuito de la Investigación Científica S/N Universidad Nacional Autónoma de México, C.U., Coyoacán, Ciudad de México 04510, Mexico.ORCID https://orcid.org/0000-0001-6097-223X
José Luis Expósito-CastilloInstituto Interamericano de Tecnología y Ciencias Del Agua Universidad Autónoma Del Estado de México, Carretera Toluca-Atlacomulco, Km 14.5, Toluca, Estado de México, Mexico.
Miguel A Gómez-AlboresInstituto Interamericano de Tecnología y Ciencias Del Agua Universidad Autónoma Del Estado de México, Carretera Toluca-Atlacomulco, Km 14.5, Toluca, Estado de México, Mexico.ORCID https://orcid.org/0000-0002-6313-9187
María Guadalupe Rodríguez-ReyesFacultad de Geografía Universidad Autónoma Del Estado de México Cerro de Coatepec Sin Número Ciudad Universitaria, Toluca 50110, Estado de México, Mexico.
Brisa Violeta Carrasco-GallegosFacultad de Geografía Universidad Autónoma Del Estado de México Cerro de Coatepec Sin Número Ciudad Universitaria, Toluca 50110, Estado de México, Mexico.
Luis Ricardo Manzano-SolísFacultad de Geografía Universidad Autónoma Del Estado de México Cerro de Coatepec Sin Número Ciudad Universitaria, Toluca 50110, Estado de México, Mexico.ORCID https://orcid.org/0000-0002-6634-2930

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research presents a time-series study in one of the most polluted regions in Mexico, the southern part of the Mezquital Valley. Three mortality causes related to areas highly contaminated by industrial activities were considered to carry out this model, namely, ischemic cardiomyopathy, mesothelioma, and pneumoconiosis. The pollutant exposure factors used in the maximum entropy modeling were distance to rivers, distance to industries, particulate matter less than 2.5 microns (PM < 2.5

Indexed as

CardiomyopathiesParticulate MatterAir PollutantsAir PollutionEnvironmental ExposureHumansMaleMesotheliomaMexicoRisk FactorsAir PollutantsParticulate Matter

Identifiers

PMID39502913
PMCPMC11535265

What OpenQuestion holds

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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.