Evidence map›Paper›PMID 38504228›Full record

ArticleBMC public health2024

Ischemic heart disease-related mortality in Brazil, 2006 to 2020. A study of multiple causes of death.

Luiz A V M Bastos, Paolo B Villela, Jose L P Bichara, Emilia M do Nascimento, Eduardo L V M Bastos, Basilio de B Pereira, Glaucia M M Oliveira

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 2 institutions in 1 country.

Luiz A V M BastosFederal University of Rio de Janeiro, Rio de Janeiro, Brazil. luizantoniovmbastos@gmail.com.ORCID 0000-0002-2409-7391
Paolo B VillelaFederal University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0001-8121-5959
Jose L P BicharaFederal University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-2858-367X
Emilia M do NascimentoRio de Janeiro State University, Rio de Janeiro, Brazil.ORCID 0000-0001-8313-8766
Eduardo L V M BastosFederal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Basilio de B PereiraFederal University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0003-3098-092X
Glaucia M M OliveiraFederal University of Rio de Janeiro, Rio de Janeiro, Brazil.ORCID 0000-0002-0737-6188
Universidade Federal do Rio de Janeiro · BRUniversidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextBoth the aging of the population and the increase in noncommunicable diseases may influence the progression and outcomes culminating in death, changing the evolution of ischemic heart diseases (IHDs) and their associated causes. Using the multiple causes of death method could help understand the magnitude of these relationships and enable better targeting of investments in health.

objectivesTo evaluate the mortality from IHD in Brazil between 2006 and 2020 using the method of multiple causes and identify differences in the distribution pattern of IHD mortality by sex and geographic region.

methodsBased on information extracted from death certificates (DCs) obtained from the database of the Department of Informatics of the Unified Health System (DATASUS), we used the multiple causes method to analyze the causes of death associated with IHD when IHD was defined as the underlying cause of death (UC) and the causes of death listed as the UC when IHD was recorded in any other lines of the DC, from 2006 to 2020, in Brazil. Subsequently, the proportion of these causes of death and differences between sexes and geographic regions were evaluated, with statistical relevance analyzed using the chi-square test, and the dependence between factors illustrated using stacked bar charts and small-world network graphs.

resultsWhen IHD was listed as the UC of death, the most frequent associated causes of death were, in descending order of frequency, acute myocardial infarction (AMI), arterial hypertension (AH), chronic ischemic heart disease (CHID), heart failure (HF), and diabetes mellitus (DM). When IHD was mentioned in any line of the DC, the most frequent UCs of death were AMI followed by DM, CIHD, chronic obstructive pulmonary disease (COPD), stroke, dyslipidemia, and, in the year 2020, COVID-19. The most frequent cause of death in women were DM as the UC and associated cause of death, AH as the UC, and CIHD and Alzheimer's disease as associated causes of death, while the most frequent causes of death in men were substance dependence as the UC and associated cause of death, and cancer as an associated cause of death. The most frequent causes of death were DM and stroke in the North and Northeast, dyslipidemia and obesity in the Midwest, Alzheimer's disease in the South and Southeast, and atherosclerotic heart disease (AHD) and COPD in the South.

conclusionsSeveral diseases - including AMI, AH, CIHD, HF, and DM - were the most frequent associated causes of death when IHD was recorded as the UC. In contrast, AMI, DM, CIHD, COPD, and stroke were the most frequent UCs when IHD was listed as an associated cause of death. The degree of these associations varied between sexes and geographic regions.

Indexed as

Alzheimer DiseaseDiabetes MellitusDyslipidemiasHeart FailureHypertensionMyocardial InfarctionMyocardial IschemiaPulmonary Disease, Chronic ObstructiveStrokeBrazilCause of DeathFemaleHumansMaleCardiovascular diseasesDeath certificatesIschemic heart diseaseMultiple causes of death

Identifiers

PMID38504228
PMCPMC10949584
OpenAlexW4392958549

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.