Role of statins in Alzheimer's disease: a retrospective meta-analysis for commonly investigated clinical parameters in RCTs.

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Title: Role of statins in Alzheimer's disease: a retrospective meta-analysis for commonly investigated clinical parameters in RCTs.
Authors: Pandey, Rishabh Dev (AUTHOR), Gupta, Prem Prakash (AUTHOR), Jha, Diwakar (AUTHOR), Kumar, Sandeep (AUTHOR)
Source: International Journal of Neuroscience. Aug2013, Vol. 123 Issue 8, p521-525. 5p.
Abstract: This review was conducted to assess the role of statins in the treatment of Alzheimer's disease (AD). We conducted meta-analysis using the randomised controlled trials (RCTs) conducted in patients who suffered from Alzheimer's disease, by conducting searches for RCTs in MEDLINE, EMBASE and Cochrane (up to 2012). An overall of five studies were included and analysed. The evaluation was done for some commonly evaluated clinical parameters like Clinical Global Impression of Change (CGIC), Mini Mental State Examination (MMSE) and Alzheimer's Disease Assessment Scale (ADAS-CoG). Statistical evaluation was done as per method described by Neyeloff et al. and forest plots were plotted for each evaluated parameter. MMSE score showed a significant difference in favour of statins. ADAS-CoG and CGIC did not show a significant advantage for statins in comparison to placebo. Highly heterogeneous distribution was seen for MMSE score. Further trials need to be conducted to arrive at more robust results. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Neuroscience is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Role of statins in Alzheimer's disease: a retrospective meta-analysis for commonly investigated clinical parameters in RCTs.
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  Data: <searchLink fieldCode="AR" term="%22Pandey%2C+Rishabh+Dev%22">Pandey, Rishabh Dev</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gupta%2C+Prem+Prakash%22">Gupta, Prem Prakash</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jha%2C+Diwakar%22">Jha, Diwakar</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Sandeep%22">Kumar, Sandeep</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Neuroscience%22">International Journal of Neuroscience</searchLink>. Aug2013, Vol. 123 Issue 8, p521-525. 5p.
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  Data: This review was conducted to assess the role of statins in the treatment of Alzheimer's disease (AD). We conducted meta-analysis using the randomised controlled trials (RCTs) conducted in patients who suffered from Alzheimer's disease, by conducting searches for RCTs in MEDLINE, EMBASE and Cochrane (up to 2012). An overall of five studies were included and analysed. The evaluation was done for some commonly evaluated clinical parameters like Clinical Global Impression of Change (CGIC), Mini Mental State Examination (MMSE) and Alzheimer's Disease Assessment Scale (ADAS-CoG). Statistical evaluation was done as per method described by Neyeloff et al. and forest plots were plotted for each evaluated parameter. MMSE score showed a significant difference in favour of statins. ADAS-CoG and CGIC did not show a significant advantage for statins in comparison to placebo. Highly heterogeneous distribution was seen for MMSE score. Further trials need to be conducted to arrive at more robust results. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of International Journal of Neuroscience is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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