Evidence map›Paper›PMID 32257151›Full record

ArticleJournal of global health2020

A nationwide analysis of the excess death attributable to diabetes in Brazil.

Paula A Bracco, Edward W Gregg, Deborah B Rolka, Maria Inês Schmidt, Sandhi M Barreto, Paulo A Lotufo, Isabela Bensenor, Dora Chor, Bruce B Duncan

Abstract read
In one paragraph

Article in Journal of global health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 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

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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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  6. Mortality attributable to diabetes in Cuba: Estimates for 2019.Public health in practice (Oxford, England) · 2024
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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

9 authors.

Paula A BraccoPostgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Edward W GreggDepartment of Diabetes and Cardiovascular Disease Epidemiology, School of Public Health, Imperial College London, UK.
Deborah B RolkaNational Center for Chronic Disease Prevention and Health Promotion, Division of Diabetes Translation, Center of Disease Control, Atlanta, Georgia, USA.
Maria Inês SchmidtPostgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.
Sandhi M BarretoDepartment of Preventive and Social Medicine, School of Medicine, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil.
Paulo A LotufoDepartment of Internal Medicine, School of Medicine, University of Sao Paulo, São Paulo, SP, Brazil.
Isabela BensenorDepartment of Internal Medicine, School of Medicine, University of Sao Paulo, São Paulo, SP, Brazil.
Dora ChorDepartment of Epidemiology and Health Quantitative Methods, National School of Public Health, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, Brazil.
Bruce B DuncanPostgraduate Program in Epidemiology, School of Medicine and Hospital de Clínicas de Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundData on mortality burden and excess deaths attributable to diabetes are sparse and frequently unreliable, particularly in low and middle-income countries. Estimates in Brazil to date have relied on death certificate data, which do not consider the multicausal nature of deaths. Our aim was to combine cohort data with national prevalence and mortality statistics to estimate the absolute number of deaths that could have been prevented if the mortality rates of people with diabetes were the same as for those without. In addition, we aimed to estimate the increase in burden when considering undiagnosed diabetes.

methodsWe estimated self-reported diabetes prevalence from the National Health Survey (PNS) and overall mortality from the national mortality information system (SIM). We estimated the diabetes mortality rate ratio (rates of those with vs without diabetes) from the Brazilian Longitudinal Study of Adult Health (ELSA-Brasil), an ongoing cohort study. Joining estimates from these three sources, we calculated for the population the absolute number and the fraction of deaths attributable to diabetes. We repeated our analyses considering both self-reported and unknown diabetes, the latter estimated based on single point-in-time glycemic determinations in ELSA-Brasil. Finally, we compared results with diabetes-related mortality information from death certificates.

resultsIn 2013, 65 581 deaths, 9.1% of all deaths between the ages of 35-80, were attributable to known diabetes. If cases of unknown diabetes were considered, this figure would rise to 14.3%. In contrast, based on death certificates only, 5.3% of all death had diabetes as the underlying cause and 10.4% as any mentioned cause.

conclusionsIn this first report of diabetes mortality burden in Brazil using cohort data to estimate diabetes mortality rate ratios and the prevalence of unknown diabetes, we showed marked underestimation of the current burden, especially when unknown cases of diabetes are also considered.

Indexed as

Death CertificatesAdultAgedAged, 80 and overBlood GlucoseBrazilCause of DeathCross-Sectional StudiesDiabetes MellitusFemaleHumansLongitudinal StudiesMaleMiddle AgedPrevalenceProspective StudiesBlood Glucose

Identifiers

PMID32257151
PMCPMC7101024

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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.