Version 1
: Received: 2 May 2024 / Approved: 6 May 2024 / Online: 6 May 2024 (07:45:46 CEST)
How to cite:
Ranasinghe, R.; Mathai, M.; Alshawsh, M. A.; Zulli, A. Updated Risk Factors of Early Endothelial Deregulation in Type-1 Diabetes: A Meta-Analysis. Preprints2024, 2024050255. https://doi.org/10.20944/preprints202405.0255.v1
Ranasinghe, R.; Mathai, M.; Alshawsh, M. A.; Zulli, A. Updated Risk Factors of Early Endothelial Deregulation in Type-1 Diabetes: A Meta-Analysis. Preprints 2024, 2024050255. https://doi.org/10.20944/preprints202405.0255.v1
Ranasinghe, R.; Mathai, M.; Alshawsh, M. A.; Zulli, A. Updated Risk Factors of Early Endothelial Deregulation in Type-1 Diabetes: A Meta-Analysis. Preprints2024, 2024050255. https://doi.org/10.20944/preprints202405.0255.v1
APA Style
Ranasinghe, R., Mathai, M., Alshawsh, M. A., & Zulli, A. (2024). Updated Risk Factors of Early Endothelial Deregulation in Type-1 Diabetes: A Meta-Analysis. Preprints. https://doi.org/10.20944/preprints202405.0255.v1
Chicago/Turabian Style
Ranasinghe, R., Mohammed Abdullah Alshawsh and Anthony Zulli. 2024 "Updated Risk Factors of Early Endothelial Deregulation in Type-1 Diabetes: A Meta-Analysis" Preprints. https://doi.org/10.20944/preprints202405.0255.v1
Abstract
Background This study aimed to identify the prominent risk factors that may trigger danger signals of early onset of vascular deregulation in T1D. The risk factors we have identified may serve as dual-purpose biomarkers of rapid diagnosis that offer prospective tailor-made resolution therapeutics. Methods The healthy control (HC) was compared with individuals diagnosed with T1D for the risk factors of vascular deregulation in published research studies from year 2013 to 2023. The PubMed, Web of Science and Google Scholar databases were searched from 1/1/2013 to 1/9/2023. The risk of bias was assessed with the Cochrane (ROBINS-I ) tool, which is relevant to clinical subjects. A random effect model for continuous data was followed and analysed by RevMan 5.4 and GraphPad Prism software. Results 80 relevant case-control studies having 5293 HC and 7492 T1D patients were included. The age and sex-matched HC consisted of persons free of disease and not under any medication while clinical subjects of all age groups were included. 28 risk factors were grouped into six primary outcome models, all of which favoured the T1D synonymous with a high risk of CVD. Conclusions Our findings have strong implications for improving the quality of life and health economics related to vascular disease in T1D. HbA1c% is the most effective biomarker, followed by FBG, LDL-C, and AI% which the clinicians could evaluate using a simple blood test or non-invasive techniques. (Protocol registered at https://www.crd.york.ac.uk/prospero/ CRD42022384636).
Biology and Life Sciences, Endocrinology and Metabolism
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
