Evidence map›Paper›PMID 36747290›Full record

ArticleDiabetology & metabolic syndrome2023

The performance of the MODY calculator in a non-Caucasian, mixed-race population diagnosed with diabetes mellitus before 35 years of age.

Augusto Cezar Santomauro, Áurea Luiza Fernandes Magalhães, Flávia Tedesco Motta, Lucas Santos de Santana, Pedro Campos Franco, Silvia Maria de Freitas, Jeniffer Johana Duarte Sanchez, Aline Dantas Costa-Riquetto, Milena G Teles

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.9field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Augusto Cezar SantomauroGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia, Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, 01246-903, Brazil.ORCID http://orcid.org/0000-0002-8467-7195
Áurea Luiza Fernandes MagalhãesGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia, Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, 01246-903, Brazil.ORCID http://orcid.org/0000-0002-4925-2132
Flávia Tedesco MottaGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia, Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, 01246-903, Brazil.ORCID http://orcid.org/0000-0002-5704-4982
Lucas Santos de SantanaGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia, Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, 01246-903, Brazil.ORCID http://orcid.org/0000-0003-0428-2386
Pedro Campos FrancoGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia, Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, 01246-903, Brazil.ORCID http://orcid.org/0000-0003-4919-9869
Silvia Maria de FreitasDepartment of Statistics and Applied Mathematics, Postgraduate Program in Modeling and Quantitative Methods, Science Center, Pici Campus, Federal University of Ceará (UFC), Fortaleza, CE, 60440-900, Brazil.ORCID http://orcid.org/0000-0003-3455-2228
Jeniffer Johana Duarte SanchezDepartment of Statistics and Applied Mathematics, Postgraduate Program in Modeling and Quantitative Methods, Science Center, Pici Campus, Federal University of Ceará (UFC), Fortaleza, CE, 60440-900, Brazil.ORCID http://orcid.org/0000-0003-1802-1953
Aline Dantas Costa-RiquettoGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia, Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, 01246-903, Brazil.ORCID http://orcid.org/0000-0002-9799-6662
Milena G TelesGrupo de Diabetes Monogênico (Monogenic Diabetes Group), Unidade de Endocrinologia, Genética (LIM25), Unidade de Diabetes, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo (HCFMUSP), São Paulo, SP, 01246-903, Brazil. milena.teles@gmail.com.ORCID http://orcid.org/0000-0002-0303-5335
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade Federal do Ceará · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/19920-2
6 · The paper itself

Abstract

backgroundA maturity-onset diabetes of the young (MODY) calculator has been described and validated for use in European Caucasians. This study evaluated its performance in Brazilians diagnosed with diabetes mellitus (DM) before 35 years of age.

methodsThe electronic records of 391 individuals were reviewed in 2020 at the diabetes clinic of a quaternary hospital in São Paulo were analyzed: 231 with type 1 DM (T1DM), 46 with type 2 (T2DM) and 114 with MODY. The MODY calculator was applied to the three groups. A receiver operating characteristic curve was calculated to obtain cut-off points for this population.

resultsThe principal differences between the MODY and the T1DM and T2DM groups were body mass index, a positive family history of diabetes and mean HbA1c level. Age at diagnosis in the MODY group was only significantly different compared to the T2DM group. Specificity and sensitivity were good for the cut-off points of 40%, 50% and 60%, with the accuracy of the model for any of these cut-off points being > 95%.

conclusionThe capacity of the calculator to identify Brazilian patients with MODY was good. Values ≥ 60% proved useful for selecting candidates for MODY genetic testing, with good sensitivity and specificity.

Indexed as

MODYMODY calculatorType 1 diabetes mellitusType 2 diabetes mellitus

Identifiers

PMID36747290
PMCPMC9900997
OpenAlexW4319320752

What Socratic holds

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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 Socratic graph.