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Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis

BACKGROUND: Depression is prevalent in the diabetic population. Primary care physician is busy in treating diabetes and depression among them goes unnoticed. According to the American Diabetic Association, two out of three are not able to achieve glycaemic control. Diabetes and depression both share...

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Autores principales: Khapre, Meenakshi, Kant, Ravi, Sharma, Divanshi, Sharma, Anusha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer - Medknow 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540827/
https://www.ncbi.nlm.nih.gov/pubmed/33088750
http://dx.doi.org/10.4103/ijem.IJEM_258_20
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author Khapre, Meenakshi
Kant, Ravi
Sharma, Divanshi
Sharma, Anusha
author_facet Khapre, Meenakshi
Kant, Ravi
Sharma, Divanshi
Sharma, Anusha
author_sort Khapre, Meenakshi
collection PubMed
description BACKGROUND: Depression is prevalent in the diabetic population. Primary care physician is busy in treating diabetes and depression among them goes unnoticed. According to the American Diabetic Association, two out of three are not able to achieve glycaemic control. Diabetes and depression both share complex cause-effect relationship. OBJECTIVES: To evaluate the effect of antidepressants on glycaemic control among the adult diabetic population suffering from depression. METHOD: Cochrane database was systematically searched with search strategy andonly parallel randomized clinical trial with antidepressant and placebo group were considered. Outcome measures were HbA1c, Fasting blood glucose, weight, body mass index, treatment adherence. Data extraction form were adapted from Cochrane. Two researchers identified studies and extracted data independently. Revman was used for meta-analysis and risk of bias. Level of evidence was generated using Gradepro. RESULTS: Out of 394 studies, six studies fulfilling the eligibility criteria were pooled for analysis. Using mean difference (MD), meta-analysis showed significant evidence of glycaemic control in favor of antidepressant treated diabetic population compared to placebo group (n = 6 studies) (MD = - 0.32%; 95% CI = - 0.57 to 0.08). Weight, BMI does not show a any significant mean difference between two groups. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: There is moderate level of evidence that antidepressants improve the glycaemic control in diabetic population suffering from depression. Understanding and treating the mental and psychological determinant with adequate control of depression should be emphasized for the diabetic population.
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spelling pubmed-75408272020-10-20 Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis Khapre, Meenakshi Kant, Ravi Sharma, Divanshi Sharma, Anusha Indian J Endocrinol Metab Original Article BACKGROUND: Depression is prevalent in the diabetic population. Primary care physician is busy in treating diabetes and depression among them goes unnoticed. According to the American Diabetic Association, two out of three are not able to achieve glycaemic control. Diabetes and depression both share complex cause-effect relationship. OBJECTIVES: To evaluate the effect of antidepressants on glycaemic control among the adult diabetic population suffering from depression. METHOD: Cochrane database was systematically searched with search strategy andonly parallel randomized clinical trial with antidepressant and placebo group were considered. Outcome measures were HbA1c, Fasting blood glucose, weight, body mass index, treatment adherence. Data extraction form were adapted from Cochrane. Two researchers identified studies and extracted data independently. Revman was used for meta-analysis and risk of bias. Level of evidence was generated using Gradepro. RESULTS: Out of 394 studies, six studies fulfilling the eligibility criteria were pooled for analysis. Using mean difference (MD), meta-analysis showed significant evidence of glycaemic control in favor of antidepressant treated diabetic population compared to placebo group (n = 6 studies) (MD = - 0.32%; 95% CI = - 0.57 to 0.08). Weight, BMI does not show a any significant mean difference between two groups. CONCLUSIONS AND IMPLICATIONS OF KEY FINDINGS: There is moderate level of evidence that antidepressants improve the glycaemic control in diabetic population suffering from depression. Understanding and treating the mental and psychological determinant with adequate control of depression should be emphasized for the diabetic population. Wolters Kluwer - Medknow 2020 2020-08-27 /pmc/articles/PMC7540827/ /pubmed/33088750 http://dx.doi.org/10.4103/ijem.IJEM_258_20 Text en Copyright: © 2020 Indian Journal of Endocrinology and Metabolism http://creativecommons.org/licenses/by-nc-sa/4.0 This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
spellingShingle Original Article
Khapre, Meenakshi
Kant, Ravi
Sharma, Divanshi
Sharma, Anusha
Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis
title Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis
title_full Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis
title_fullStr Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis
title_full_unstemmed Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis
title_short Antidepressant Use and Glycemic Control in Diabetic Population: A Meta-analysis
title_sort antidepressant use and glycemic control in diabetic population: a meta-analysis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540827/
https://www.ncbi.nlm.nih.gov/pubmed/33088750
http://dx.doi.org/10.4103/ijem.IJEM_258_20
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