Literature DB >> 33902557

The value of glycosylated hemoglobin in the diagnosis of diabetic retinopathy: a systematic review and Meta-analysis.

Bo Zhang1, Bingjie Zhang2, Zhulin Zhou3, Yutong Guo4, Dan Wang5.   

Abstract

OBJECTIVE: Glycosylated hemoglobin (HbA1c) has obvious clinical value in the diagnosis of diabetes, but the conclusions on the diagnostic value of diabetic retinopathy (DR) are not consistent. This study aims to comprehensively evaluate the accuracy of glycosylated hemoglobin in the diagnosis of diabetic retinopathy through the meta-analysis of diagnostic tests.
METHODS: Cochrane Library, Embase, PubMed, Web of Science, China National Knowledge Infrastructure (CNKI), China Wanfang Database, Chinese Biomedical Literature Database (CBM) were searched until November, 2020. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool was used to assess the quality of the included studies. The pooled sensitivity, specificity, positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic odds ratio (DOR) and areas under the receiver operating characteristic (ROC) curve were calculated by Stata 15.0 software.
RESULTS: After screening, 18 high-quality papers were included. The results of meta-analysis showed that the combined DOR = 18.19 (95% CI: 10.99-30.11), the sensitivity= 0.81 (95% CI): 0.75 ~ 0.87), specificity = 0.81 (95%CI: 0.72 ~ 0.87), +LR = 4.2 (95%CI: 2.95 ~ 6.00), -LR = 0.23 (95%CI: 0.17 ~ 0.31), and the area under the Summary ROC curve was 0.88 (95%CI:  0.85 ~ 0.90).
CONCLUSION: The overall accuracy of HbA1cC forin diagnosing diabetic retinopathy is good. As it is more stable than blood sugar and is not affected by meals, it may be a suitable indicator for diabetic retinopathy.

Entities:  

Keywords:  Cut-off value; Diabetic retinopathy; Diagnosis; Glycosylated hemoglobin; Meta-analysis

Year:  2021        PMID: 33902557     DOI: 10.1186/s12902-021-00737-2

Source DB:  PubMed          Journal:  BMC Endocr Disord        ISSN: 1472-6823            Impact factor:   2.763


  16 in total

1.  IDF diabetes atlas: global estimates of the prevalence of diabetes for 2011 and 2030.

Authors:  David R Whiting; Leonor Guariguata; Clara Weil; Jonathan Shaw
Journal:  Diabetes Res Clin Pract       Date:  2011-11-12       Impact factor: 5.602

Review 2.  Proteomic discovery of diabetic nephropathy biomarkers.

Authors:  Michael L Merchant; Jon B Klein
Journal:  Adv Chronic Kidney Dis       Date:  2010-11       Impact factor: 3.620

Review 3.  Screening and prevention of diabetic blindness.

Authors:  E Stefánsson; T Bek; M Porta; N Larsen; J K Kristinsson; E Agardh
Journal:  Acta Ophthalmol Scand       Date:  2000-08

4.  Risks of progression of retinopathy and vision loss related to tight blood pressure control in type 2 diabetes mellitus: UKPDS 69.

Authors:  David R Matthews; Irene M Stratton; Stephen J Aldington; Rury R Holman; Eva M Kohner
Journal:  Arch Ophthalmol       Date:  2004-11

5.  Prevalence of diabetic retinopathy in the United States, 2005-2008.

Authors:  Xinzhi Zhang; Jinan B Saaddine; Chiu-Fang Chou; Mary Frances Cotch; Yiling J Cheng; Linda S Geiss; Edward W Gregg; Ann L Albright; Barbara E K Klein; Ronald Klein
Journal:  JAMA       Date:  2010-08-11       Impact factor: 56.272

6.  Comparison of diagnostic methods for diabetes mellitus based on prevalence of retinopathy in a Japanese population: the Hisayama Study.

Authors:  M Miyazaki; M Kubo; Y Kiyohara; K Okubo; H Nakamura; K Fujisawa; Y Hata; S Tokunaga; M Iida; Y Nose; T Ishibashi
Journal:  Diabetologia       Date:  2004-07-28       Impact factor: 10.122

7.  Prolonged effect of intensive therapy on the risk of retinopathy complications in patients with type 1 diabetes mellitus: 10 years after the Diabetes Control and Complications Trial.

Authors:  Neil H White; Wanjie Sun; Patricia A Cleary; Ronald P Danis; Matthew D Davis; Dean P Hainsworth; Larry D Hubbard; John M Lachin; David M Nathan
Journal:  Arch Ophthalmol       Date:  2008-12

8.  Is blood pressure a predictor of the incidence or progression of diabetic retinopathy?

Authors:  R Klein; B E Klein; S E Moss; M D Davis; D L DeMets
Journal:  Arch Intern Med       Date:  1989-11

Review 9.  Global prevalence and major risk factors of diabetic retinopathy.

Authors:  Joanne W Y Yau; Sophie L Rogers; Ryo Kawasaki; Ecosse L Lamoureux; Jonathan W Kowalski; Toke Bek; Shih-Jen Chen; Jacqueline M Dekker; Astrid Fletcher; Jakob Grauslund; Steven Haffner; Richard F Hamman; M Kamran Ikram; Takamasa Kayama; Barbara E K Klein; Ronald Klein; Sannapaneni Krishnaiah; Korapat Mayurasakorn; Joseph P O'Hare; Trevor J Orchard; Massimo Porta; Mohan Rema; Monique S Roy; Tarun Sharma; Jonathan Shaw; Hugh Taylor; James M Tielsch; Rohit Varma; Jie Jin Wang; Ningli Wang; Sheila West; Liang Xu; Miho Yasuda; Xinzhi Zhang; Paul Mitchell; Tien Y Wong
Journal:  Diabetes Care       Date:  2012-02-01       Impact factor: 19.112

10.  Evaluation for fasting and 2-hour glucose and HbA1c for diagnosing diabetes based on prevalence of retinopathy in a Chinese population.

Authors:  Zhong Xin; Ming-Xia Yuan; Hong-Xing Li; Lin Hua; Jian-Ping Feng; Jing Shi; Xiao-Rong Zhu; Xi Cao; Jin-Kui Yang
Journal:  PLoS One       Date:  2012-07-12       Impact factor: 3.240

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  1 in total

1.  Aqueous Humor Cytokines in Non-Proliferative Diabetic Retinopathy.

Authors:  Otilia Obadă; Anca Delia Pantalon; Gabriela Rusu-Zota; Anca Hăisan; Smaranda Ioana Lupuşoru; Daniela Constantinescu; Dorin Chiseliţă
Journal:  Medicina (Kaunas)       Date:  2022-07-08       Impact factor: 2.948

  1 in total

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