Evidence map›Paper›PMID 41538556›Full record

ArticleRevista de saude publica2026

BrDMrisc - Online Brazilian Risk Score for Incident Type 2 Diabetes - ELSA-Brasil Cohort.

Paula Andreghetto Bracco, Maria Inês Schmidt, Alvaro Vigo, José Geraldo Mill, Pedro Guatimosim Vidigal, Sandhi Maria Barreto, Mária de Fátima Sander Diniz, Maria de Jesus Mendes da Fonseca, Bruce Bartholow Duncan

Abstract read
In one paragraph

Article in Revista de saude publica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

9 authors.

Paula Andreghetto BraccoUniversidade Federal do Rio Grande do Sul. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Porto Alegre, RS, Brasil.ORCID http://orcid.org/0000-0001-6899-7386
Maria Inês SchmidtUniversidade Federal do Rio Grande do Sul. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Porto Alegre, RS, Brasil.ORCID http://orcid.org/0000-0002-3837-0731
Alvaro VigoUniversidade Federal do Rio Grande do Sul. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Porto Alegre, RS, Brasil.ORCID http://orcid.org/0000-0002-5797-9470
José Geraldo MillUniversidade Federal do Espírito Santo. Centro de Ciências da Saúde. Vitória, ES, Brasil.ORCID http://orcid.org/0000-0002-0987-368X
Pedro Guatimosim VidigalUniversidade Federal de Minas Gerais. Faculdade de Medicina. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0001-8035-1350
Sandhi Maria BarretoUniversidade Federal de Minas Gerais. Faculdade de Medicina. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0001-7383-7811
Mária de Fátima Sander DinizUniversidade Federal de Minas Gerais. Faculdade de Medicina. Belo Horizonte, MG, Brasil.ORCID http://orcid.org/0000-0001-9146-5003
Maria de Jesus Mendes da FonsecaFundação Oswaldo Cruz. Escola Nacional de Saúde Pública. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-5319-5513
Bruce Bartholow DuncanUniversidade Federal do Rio Grande do Sul. Faculdade de Medicina. Programa de Pós-Graduação em Epidemiologia. Porto Alegre, RS, Brasil.ORCID http://orcid.org/0000-0002-7491-2630

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo describe the Brazilian Diabetes Risk Score (BrDMrisc), an online calculator for estimating the risk of developing diabetes in 10 years, comparing it to other commonly used screening approaches to identify high-risk of future diabetes.

methodsBrDMrisc is derived from 7.4-year follow-up data from ELSA-Brasil, a contemporary Brazilian cohort. Risk functions to predict future diabetes were based on socioeconomic, lifestyle, clinical, and laboratory variables, many of which are incorporated as continuous variables on a training sample including half of the analyzed cohort. We used ELSA-Brasil participant baseline data and incident diabetes cases detected during follow-up on the other half to compare the predictive capacity of BrDMrisc against traditional pre-diabetes screening strategies.

resultsBrDMrisc's 27 risk functions offer versatility to the online app, enabling estimates based on differing combinations of clinical and laboratory findings, which present more favorable diagnostic properties than other recommended approaches. For example, the BrDMrisc function based on clinical data plus fasting glucose, when compared with detection using solely the presence of impaired fasting glucose (≥ 100 mg/dL), identified a more manageable fraction (20.0% versus 40.6%) of the population as high risk, with those identified as presenting a two-fold risk of developing diabetes (28.5% versus 17.1%).

conclusionsBrDMrisc diabetes risk calculator, based on data from a contemporary Brazilian cohort, is readily available online, versatile, and presents generally more favorable diagnostic properties than other commonly used screening strategies.

Indexed as

Diabetes Mellitus, Type 2AdultBlood GlucoseBrazilCohort StudiesFemaleHumansIncidenceMaleMass ScreeningMiddle AgedPrediabetic StateRisk AssessmentRisk FactorsSocioeconomic FactorsBlood Glucose

Identifiers

PMID41538556
PMCPMC12713524

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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.