Evidence map›Paper›PMID 37780947›Full record

ArticleArchivos peruanos de cardiologia y cirugia cardiovascular

[Spatial analysis of hypertension in Peruvian adults, 2022].

Akram Hernández-Vásquez, Brenda Noemí Carrillo Morote, Victoria Del Carmen Azurin Gonzales, Efraín Y Turpo Cayo, Diego Azañedo

Open access · diamondAbstract readEnglish Abstract
In one paragraph

Article in Archivos peruanos de cardiologia y cirugia cardiovascular. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Blood pressure reference curves by age and residential altitude in Peruvian adults.Archivos peruanos de cardiologia y cirugia cardiovascular
    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

5 authors at 4 institutions in 2 countries.

Akram Hernández-VásquezCentro de Excelencia en Investigaciones Económicas y Sociales en Salud, Vicerrectorado de Investigación, Universidad San Ignacio de Loyola, Lima, Perú Universidad San Ignacio de Loyola Centro de Excelencia en Investigaciones Económicas y Sociales en Salud Vicerrectorado de Investigación Universidad San Ignacio de Loyola Lima Peru.ORCID 0000-0003-1431-2526
Brenda Noemí Carrillo MoroteFacultad de Ciencias de la Salud, Universidad Científica del Sur, Lima, Perú. Universidad Científica del Sur Facultad de Ciencias de la Salud Universidad Científica del Sur Lima Peru.ORCID 0000-0001-6250-4771
Victoria Del Carmen Azurin GonzalesInvestigadora independiente, Lima, Perú. Investigadora independiente Lima Perú.ORCID 0000-0001-9623-3746
Efraín Y Turpo CayoUniversidad Nacional Agraria La Molina, Lima, Perú. Universidad Nacional Agraria La Molina Universidad Nacional Agraria La Molina Lima Peru.ORCID 0000-0002-6691-9867
Diego AzañedoUniversidad Científica del Sur, Lima, Perú. Universidad Científica del Sur Universidad Científica del Sur Lima Peru.ORCID 0000-0003-1375-8788
Universidad Científica del Sur · PEUniversidad Independiente · CRUniversidad Nacional Agraria La Molina · PEUniversidad San Ignacio de Loyola · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To perform a spatial analysis of arterial hypertension in the Peruvian adult population to identify geographic patterns with a higher concentration of cases. Materials and methods: A spatial analysis was conducted using data from the Demographic and Family Health Survey (ENDES) 2022. A sample of 29,422 adults was included, and the global Moran's index and Getis-Ord Gi* analysis were used to evaluate spatial autocorrelation and cluster concentration. Results: The age-standardized prevalence of arterial hypertension was 19.2%. Clusters with a high concentration of arterial hypertension were observed in departments along the Peruvian coast such as Tumbes, Piura, Lambayeque, La Libertad, Ancash, and Lima, as well as in the northern regions of the Highlands. Clusters were also found in the regions of Loreto and Madre de Dios in the Peruvian jungle. Conclusions: This study revealed geographic patterns of arterial hypertension in Peru, with a higher concentration of cases along the Peruvian coast and in certain regions of the Highlands and Jungle. These findings highlight the need to develop strategies for the prevention and control of the disease, especially in the areas identified as high-prevalence clusters.

Indexed as

Health SurveysHypertensionPeruSpatial Analysis

Identifiers

PMID37780947
PMCPMC10538923
OpenAlexW4385265860

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.