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Douglas Carvalho Caixeta
Researcher at Federal University of Uberlandia
Publications - 28
Citations - 402
Douglas Carvalho Caixeta is an academic researcher from Federal University of Uberlandia. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 10, co-authored 19 publications receiving 235 citations.
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Journal ArticleDOI
Association of salivary alpha-2-macroglobulin with glycemia and glycated hemoglobin in type 2 diabetes mellitus: a systematic review and meta-analysis study
Douglas Carvalho Caixeta,Pedro Rogério Camargos Pennisi,Douglas Vieira Moura,Marjorie Adriane Costa Nunes,Foued Salmen Espindola,Cauane Blumenberg,Luiz Renato Paranhos,Robinson Sabino-Silva +7 more
TL;DR: In this article , the authors conducted a systematic review to evaluate the association of alpha-2-macroglobulin (A2MG) salivary levels and glycemia or HbA1c levels in diabetes mellitus type 2 (DM2) patients.
Journal ArticleDOI
Salivary SARS-CoV-2 RNA for diagnosis of COVID-19 patients: a systematic revisew and meta-analysis of diagnostic accuracy
Douglas Carvalho Caixeta,Luiz Renato Paranhos,Cauane Blumenberg,Marcelo Augusto Garcia-Júnior,Marco Guevara-Vega,Elisa Borges Taveira,Marjorie Adriane Costa Nunes,Thúlio Marquez Cunha,Ana Carolina Gomes Jardim,Carlos Flores-Mir,Robinson Sabino-Silva +10 more
TL;DR: In this paper , a systematic review with meta-analysis evaluated the accuracy, sensitivity, and specificity of salivary diagnostics for COVID-19 based on SARS-CoV-2 RNA compared with the current reference tests using a nasopharyngeal swab (NPS) and/or oropharyngaleal swabs (OPS).
Journal ArticleDOI
Salivary Detection of Zika Virus Infection Using ATR-FTIR Spectroscopy Coupled with Machine Learning Algorithms and Univariate Analysis: A Proof-of-Concept Animal Study
Stephanie Wutke Oliveira,Léia Cardoso-Sousa,Renata Pereira Georjutti,Jacqueline Farinha Shimizu,Douglas Carvalho Caixeta,Marco Guevara-Vega,Thúlio Marquez Cunha,Murillo G. Carneiro,Luiz Ricardo Goulart,Ana Carolina Gomes Jardim,Robinson Sabino-Silva +10 more
TL;DR: In this article , the authors used the vibrational mode at 1547 cm−1 as a potential candidate to discriminate ZIKV and control salivary samples and achieved an accuracy of 93.3% with a specificity of 87.5% and sensitivity of 100%.