Evidence map›Paper›PMID 32085501›Full record

ArticleInternational journal of environmental research and public health2020

Association between Cardiovascular Mortality and Economic Development: A Spatio-Temporal Study for Prefectures in Japan.

Emerson Augusto Baptista, Kaoru Kakinuma, Bernardo Lanza Queiroz

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Mortality from type 2 diabetes mellitus across municipalities in Mexico.Archives of public health = Archives belges de sante publique · 2024
    Article
  2. Burden of cardiovascular disease among elderly: based on the Global Burden of Disease Study 2019.European heart journal. Quality of care & clinical outcomes · 2024
    Article
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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

3 authors.

Emerson Augusto BaptistaAsian Demographic Research Institute (ADRI), Shanghai University, Shanghai 200444, China.ORCID 0000-0001-7582-2736
Kaoru KakinumaAsian Demographic Research Institute (ADRI), Shanghai University, Shanghai 200444, China.ORCID 0000-0003-4647-9582
Bernardo Lanza QueirozDepartment of Demography, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte 31270-901, Brazil.ORCID 0000-0002-2890-1025

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this paper, we use a bivariate choropleth map to investigate the relationship between mortality from cardiovascular disease (CVD) and gross domestic product (GDP) per capita, by sex, in Japanese prefectures from 1996 to 2015. The overall results show a decline in age-standardized CVD mortality rates in all prefectures, for both men and women, and suggest that GDP per capita has varied over the period. We also observed that the relationship between CVD mortality rates and GDP per capita at the prefecture level does not have an overall pattern of the same or inverse association, but is instead a heterogeneous relationship. We argue that this study provides useful clues to policy makers for establishing effective measures for public health planning and the prevention of deaths from CVD. As demonstrated by this study, mapping of the CVD burden in Japan helps to clarify regional differences in life expectancy and health status across regions and identify prefectures where more targeted policy attention may be needed.

Indexed as

Life ExpectancyCardiovascular DiseasesEconomic DevelopmentFemaleGross Domestic ProductHealth StatusHumansJapanMaleMortalitybivariate choropleth mapcardiovascular mortalityeconomic developmentGlobal Burden of Disease Study 2017gross domestic product (GDP)Japanmortalityprefectures

Identifiers

PMID32085501
PMCPMC7068662

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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.