Evidence map›Paper›PMID 31551489›Full record

ArticleScientific reports2019

Ambient temperature and mortality due to acute myocardial infarction in Brazil: an ecological study of time-series analyses.

Letícia de Castro Martins Ferreira, Mário Círio Nogueira, Ricardo Vela de Britto Pereira, William Cossich Marcial de Farias, Moreno Magalhaes de Souza Rodrigues, Maria Teresa Bustamante Teixeira, Marilia Sá Carvalho

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
–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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Review
  7. Racial and Economic Disparities in High-Temperature Exposure in Brazil.International journal of environmental research and public health · 2025
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  8. Article
  9. Observational
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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.

Letícia de Castro Martins FerreiraMedical Internship Department, School of Medicine, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil. leticiacmferreira@gmail.com.ORCID http://orcid.org/0000-0002-2916-4477
Mário Círio NogueiraPublic Health Department, School of Medicine, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil.ORCID http://orcid.org/0000-0001-9688-4557
Ricardo Vela de Britto PereiraAeronautics Administrative Support Center, Brazilian Air Force, Rio de Janeiro, RJ, Brazil.
William Cossich Marcial de FariasDepartment of Physics and Astronomy, University of Bologna, Bologna, Italy.ORCID http://orcid.org/0000-0002-0349-1488
Moreno Magalhaes de Souza RodriguesLaboratório de Análise e Visualização de Dados, Fiocruz-RO, Porto Velho, Rondônia, Brazil.ORCID http://orcid.org/0000-0002-1594-2311
Maria Teresa Bustamante TeixeiraPublic Health Department, School of Medicine, Federal University of Juiz de Fora, Juiz de Fora, MG, Brazil.ORCID http://orcid.org/0000-0003-0727-4170
Marilia Sá CarvalhoOswaldo Cruz Foundation, Scientific Computing Program, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-9566-0284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ambient temperature may lead to decompensation of cardiovascular diseases and deaths by acute myocardial infarction (AMI). Little is known about this relationship in South American countries located in regions of a hot climate. This study aims to investigate the effects of ambient temperature on mortality due to AMI in six Brazilian micro-regions, which present different climates. We analyzed daily records of deaths by AMI between 1996 and 2013. We estimated the accumulate relative and attributable risks with lags of up to 14 days, using distributed non-linear lag model. Micro-regions that were closest to the equator did not show an association between temperature and mortality. The lowest risk temperatures varied between 22 °C and 28 °C, in the Southern region of Brazil and the Midwest region, respectively. Low temperatures associated with the highest mortality risk were observed in the same areas, varying between 5 °C and 15 °C. The number of deaths attributed to cold temperatures varied from 176/year in Brasilia to 661/year in São Paulo and those deaths attributed to hot temperatures in Rio de Janeiro amounted to 115/year. We showed the relative risk and the attributable risk of warmer and colder days in tropical regions. The estimate of the number of deaths due to climate, varying according to each area, is a way of bringing information to those responsible for health policies based on easily-understood measurements.

Indexed as

BrazilClimateClimate ChangeHumansMortalityMyocardial InfarctionRisk AssessmentRisk FactorsTemperature

Identifiers

PMID31551489
PMCPMC6760184

What OpenQuestion holds

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LicenceCC BY
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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.