2020
DOI: 10.14341/probl12458
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Diabetes and COVID-19: analysis of the clinical outcomes according to the data of the russian diabetes registry

Abstract: Background: The data indicate a higher mortality rate in patients with diabetes mellitus (DM) due to COVID-19, which determines the high relevance for study of risk factors for outcomes. Aim: to assess the effect of clinical and demographic parameters (age, gender, body mass index (BMI), glycemic control (HbA1c), antidiabetic and antihypertensive drugs, including ACE inhibitors and ARB) on clinical outcomes (recovery or death) in patients with T2DM. Materials and methods: A retrospective analysis o… Show more

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Cited by 45 publications
(35 citation statements)
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“…Sensitivity analysis did not identify any specific original study that led to unstable results, which might be explained by the discrepancy of included studies themselves. Gender ratio and average age accounted for a portion of unstable results as female and young patients(30, 34) reportedly have a better prognosis. Elements including duration of medication (from <21 day(25) to >6 months), dose, common drugs in exposure and control groups(29), long-term blood glucose control (HbA1c)(34, 57), BMI(26) and comorbidities(58) varied in different studies and were likely related to heterogeneity.…”
Section: Discussionmentioning
confidence: 99%
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“…Sensitivity analysis did not identify any specific original study that led to unstable results, which might be explained by the discrepancy of included studies themselves. Gender ratio and average age accounted for a portion of unstable results as female and young patients(30, 34) reportedly have a better prognosis. Elements including duration of medication (from <21 day(25) to >6 months), dose, common drugs in exposure and control groups(29), long-term blood glucose control (HbA1c)(34, 57), BMI(26) and comorbidities(58) varied in different studies and were likely related to heterogeneity.…”
Section: Discussionmentioning
confidence: 99%
“…Gender ratio and average age accounted for a portion of unstable results as female and young patients(30, 34) reportedly have a better prognosis. Elements including duration of medication (from <21 day(25) to >6 months), dose, common drugs in exposure and control groups(29), long-term blood glucose control (HbA1c)(34, 57), BMI(26) and comorbidities(58) varied in different studies and were likely related to heterogeneity. We also calculated the prediction interval (PI) to reflect the variation in treatment effects over different settings, predict the expected effect on future patients as a supplement to CI(24) and 95% CI of I 2 described the proportion of total variation in study estimates that is due to heterogeneity (59).…”
Section: Discussionmentioning
confidence: 99%
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“…Out of 946 potentially relevant articles, and following application of inclusion criteria, 32 studies were retained including a total of 44306 participants. The included studies were conducted in Austria [14], Belgium [15], China [16][17][18][19][20][21][22][23][24], France [25][26][27], Hong Kong [28], Iraq [29], Italy [30,31], Russia [32]which determines the high relevance of risk factor analysis for outcomes in DM patients to substantiate the strategy for this category of patients. AIM: To assess the effect of clinical and demographic parameters (age, gender, body mass index (BMI, South Korea [33,34], Spain [35,36], UK [37][38][39][40][41] and USA [42][43][44][45].…”
Section: Characteristics Of Included Studiesmentioning
confidence: 99%
“…Afterwards it had been suggested for the FDA to change metformin on-label use as adjuvant therapy against COVID-19 in obese, elderly and diabetes patients [ 11 ]. Different reports indicated a positive correlation of survival with use of metformin prior to admission [ 12 17 ], or during hospitalization [ 18 22 ], while others have not observed any correlation with time of hospitalization, severity or death by COVID-19 patients that used metformin in admission [ 23 , 24 ].…”
Section: Introductionmentioning
confidence: 99%