About: Assessment of haemoglobin aic evolution using two statistical approaches (survival analysis and linear rregression) in persons with diabetes mellitus     Goto   Sponge   NotDistinct   Permalink

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  • Intensive selfmonitoring is an important and cost-demanding part of diabetes treatment. Continuous glucose monitoring (CGM) using transcutaneous sensors offers %22reaal time%22 information on glycemia. In the present study, we assissed the therapeutic efficacy of CGM on metabilic control using two different statistical methods; linear regression and %22survival analysis%22. Both the regression nalysis and survival analysis brought evidence of significant changes of the HbA1c in either of the groups. The method of linear regression enables to analyse the evolution of HbA1c in each individual person followed by comparison of the groups. The survival analysis demonstrated that the probability of HbA1c decrease to the predefined level as well as its further maintaining at this level was higher in the CGM group. Zhe mean time interval necessary to HbA1c decrease was shorter in the CGM group. The efficacy of CGM was demonstrated. In addition to linear regression, survival analysis appears to b
  • Intensive selfmonitoring is an important and cost-demanding part of diabetes treatment. Continuous glucose monitoring (CGM) using transcutaneous sensors offers %22reaal time%22 information on glycemia. In the present study, we assissed the therapeutic efficacy of CGM on metabilic control using two different statistical methods; linear regression and %22survival analysis%22. Both the regression nalysis and survival analysis brought evidence of significant changes of the HbA1c in either of the groups. The method of linear regression enables to analyse the evolution of HbA1c in each individual person followed by comparison of the groups. The survival analysis demonstrated that the probability of HbA1c decrease to the predefined level as well as its further maintaining at this level was higher in the CGM group. Zhe mean time interval necessary to HbA1c decrease was shorter in the CGM group. The efficacy of CGM was demonstrated. In addition to linear regression, survival analysis appears to b (en)
Title
  • Assessment of haemoglobin aic evolution using two statistical approaches (survival analysis and linear rregression) in persons with diabetes mellitus
  • Assessment of haemoglobin aic evolution using two statistical approaches (survival analysis and linear rregression) in persons with diabetes mellitus (en)
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  • Assessment of haemoglobin aic evolution using two statistical approaches (survival analysis and linear rregression) in persons with diabetes mellitus
  • Assessment of haemoglobin aic evolution using two statistical approaches (survival analysis and linear rregression) in persons with diabetes mellitus (en)
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  • RIV/61989592:15110/09:00009499!RIV10-MSM-15110___
http://linked.open...avai/riv/aktivita
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  • S, Z(MSM6198959216)
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  • 2
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http://linked.open...aciTvurceVysledku
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  • 304192
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  • RIV/61989592:15110/09:00009499
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  • survival analysis; linear regression; haemoglobin A1c; continuous glucose monitoring; diabetes mellitus (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [A87143F97397]
http://linked.open...i/riv/nazevZdroje
  • Biomedical Papers
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http://linked.open...v/svazekPeriodika
  • 153
http://linked.open...iv/tvurceVysledku
  • Langová, Kateřina
  • Kajabová, Markéta
  • Luža, Jiří
  • Přibylová, Helena
http://linked.open...n/vavai/riv/zamer
issn
  • 1213-8118
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  • 15110
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