Evidence map›Paper›PMID 32125531›Full record

ArticleActa diabetologica2020

Genomic ancestry as a risk factor for diabetic retinopathy in patients with type 1 diabetes from an admixed population: a nested case-control study in Brazil.

Deborah Conte Santos, Laura Gomes Nunes de Melo, Marcela Haas Pizarro, Bianca S V Barros, Carlos Antonio Negrato, Luís Cristóvão Porto, Dayse A Silva, Karla Rezende Guerra Drummond, Luiza Harcar Muniz, Tessa Cerqueria Lemos Mattos and 6 more

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In one paragraph

Article in Acta diabetologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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, 1 synthesis or guideline pooled it, 14 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

16 authors at 7 institutions in 1 country.

Deborah Conte SantosDepartment of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil. deborahconte@hotmail.com.ORCID http://orcid.org/0000-0002-0412-3193
Laura Gomes Nunes de MeloDepartment of Ophthalmology, State University of Rio de Janeiro, Rio de Janeiro, Brazil.
Marcela Haas PizarroDepartment of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil.
Bianca S V BarrosDepartment of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil.
Carlos Antonio NegratoUniversity of São Paulo, Bauru, Brazil.
Luís Cristóvão PortoHistocompatibility and Cryopreservation Laboratory (HLA), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil.
Dayse A SilvaDNA Diagnostic Laboratory (LDD), Rio de Janeiro State University (UERJ), Rio de Janeiro, Rio de Janeiro, Brazil.
Karla Rezende Guerra DrummondDepartment of Ophthalmology, Federal Hospital of the Servers of Rio de Janeiro, Rio de Janeiro, Brazil.
Luiza Harcar MunizDepartment of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil.
Tessa Cerqueria Lemos MattosDepartment of Ophthalmology, Center of Endocrinology and Diabetes of the State of Bahia, Salvador, Brazil.
André Araújo PinheiroDepartment of Ophthalmology, Regional Hospital of Taguatinga, Brasília, Brazil.
Felipe MallmannDepartment of Ophthalmology, Federal University of Rio Grande Do Sul, Porto Alegre, Brazil.
Franz Schubert Lopes LealDepartment of Ophthalmology, University of Campinas, Campinas, São Paulo, Brazil.
Fernando Korn MalerbiDepartment of Endocrinology and Ophthalmology, Federal University of São Paulo, São Paulo, Brazil.
Paulo Henrique MoralesDepartment of Ophthalmology, Federal University of São Paulo, São Paulo, Brazil.
Marília Brito GomesDepartment of Internal Medicine, Diabetes Unit, Rio de Janeiro State University (UERJ), Boulevard 28 de Setembro, 77- 3º andar - Vila Isabel, Rio de Janeiro, Rio de Janeiro, CEP 20551-030, Brazil.
Universidade do Estado do Rio de Janeiro · BRUniversidade Federal de São Paulo · BRHospital Federal dos Servidores do Estado · BRUniversidade de São Paulo · BRUniversidade do Estado da Bahia · BRUniversidade Estadual de Campinas (UNICAMP) · BRUniversidade Federal do Rio Grande do Sul · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 563753/2010-2Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro E-26/110.170/2013
6 · The paper itself

Abstract

aimsThe influence of genetic factors on the development and progression of diabetic retinopathy is still unclear. Previous studies showed controversial results. We aimed to characterize the relationship between genomic ancestry and self-reported color/race with severe diabetic retinopathy in patients with type 1 diabetes belonging to a highly admixed population.

methodsThis study was a nested case-control based on data collected from a large cross-sectional, nationwide survey conducted in clinics from all five geographic regions of Brazil. For the present study, we included 414 individuals. Cases (n = 176) were considered if they had severe non-proliferative or proliferative diabetic retinopathy, and controls (n = 238) were type 1 diabetes patients without retinopathy, matched for diabetes duration by a range of 5 years. Indirect ophthalmoscopy was performed, and individual genomic ancestry was inferred using a panel of 46 ancestry informative markers.

resultsThe backward stepwise logistic regression analysis showed that African genomic ancestry (OR 3.9, p = 0.045), HbA1c (OR 1.24, p = 0.001), glomerular filtration rate (OR 0.98, p < 0.001) and hypertension (OR 2.52, p < 0.001) were associated with severe diabetic retinopathy after adjusting for clinical and demographic data. Self-reported color/race was not statistically associated with diabetic retinopathy.

conclusionsGenomic ancestry, as well as clinical variables such as hypertension, impaired glomerular filtration rate and poor diabetes control (HbA1c), was important risk factor for the development of severe diabetic retinopathy. Further studies are needed, especially in highly admixed populations, to better understand the role of genomic ancestry and possible genes that might be associated with the development and/or progression of diabetic retinopathy.

Indexed as

AdultBrazilCase-Control StudiesCross-Sectional StudiesDiabetes Mellitus, Type 1Diabetic RetinopathyDisease ProgressionEthnicityFemaleGenetic Predisposition to DiseaseGenomicsHumansMaleMiddle AgedRace RelationsRisk FactorsEthnicityGenomic ancestryRetinopathyType 1 diabetes

Identifiers

PMID32125531
OpenAlexW3009645036

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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.