Assessment of haemoglobin aic evolution using two statistical approaches (survival analysis and linear rregression) in persons with diabetes mellitus
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15110%2F09%3A00009499" target="_blank" >RIV/61989592:15110/09:00009499 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Assessment of haemoglobin aic evolution using two statistical approaches (survival analysis and linear rregression) in persons with diabetes mellitus
Original language description
Intensive selfmonitoring is an important and cost-demanding part of diabetes treatment. Continuous glucose monitoring (CGM) using transcutaneous sensors offers "reaal time" 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 "survival analysis". Both the regression nalysis and survival analysis brought evidence of significant changes of the HbA1c in either of the groups. The methodof 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
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
FB - Endocrinology, diabetology, metabolism, nutrition
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Biomedical Papers
ISSN
1213-8118
e-ISSN
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Volume of the periodical
153
Issue of the periodical within the volume
2
Country of publishing house
CZ - CZECH REPUBLIC
Number of pages
8
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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