Cooperative Care, Collaborative Research, Ubiquitous Information

Effects of Ginkgo biloba in dementia: systematic review and meta-analysis

Background

The benefit of Ginkgo biloba has been discussed controversially. The aim of this review was to assess the effects of Ginkgo biloba in Alzheimer's disease as well as vascular and mixed dementia covering a variety of outcome domains.

Methods

We searched MEDLINE, EMBASE, the Cochrane databases, CINAHL and PsycINFO for controlled trials of ginkgo for Alzheimer's, vascular or mixed dementia. Studies had to be of a minimum of 12 weeks duration with at least ten participants per group. Clinical characteristics and outcomes were extracted. Meta-analysis results were expressed as risk ratios or standardized mean differences (SMD) in scores.

Results

Nine trials using the standardized extract EGb761^® met our inclusion criteria. Trials were of 12 to 52 weeks duration and included 2372 patients in total. In the meta-analysis, the SMDs in change scores for cognition were in favor of ginkgo compared to placebo (-0.58, 95% confidence interval [CI] -1.14; -0.01, p = 0.04), but did not show a statistically significant difference from placebo for activities in daily living (ADLs) (SMD = -0.32, 95% CI -0.66; 0.03, p = 0.08). Heterogeneity among studies was high. For the Alzheimer subgroup, the SMDs for ADLs and cognition outcomes were larger than for the whole group of dementias with statistical superiority for ginkgo also for ADL outcomes (SMD = -0.44, 95% CI -0.77; -0.12, p = 0.008). Drop-out rates and side effects did not differ between ginkgo and placebo. No consistent results were available for quality of life and neuropsychiatric symptoms, possibly due to the heterogeneity of the study populations.

Conclusions

Ginkgo biloba appears more effective than placebo. Effect sizes were moderate, while clinical relevance is, similar to other dementia drugs, difficult to determine.

Modeling in biomedical informatics—An exploratory analysis

OBJECTIVE

Modeling is a significant part of research, education and practice in biomedical and health informatics. Our objective was to explore which types of models of processes are used in current biomedical/health informatics research, as reflected in publications of scientific journals in this field. Also, the implications for medical informatics curricula were investigated.

METHODS

Retrospective, prolective observational study on recent publications of the two official journals of the International Medical Informatics Association (IMIA), the International Journal of Medical Informatics (IJMI) and Methods of Information in Medicine (MIM). All publications of the years 2004 and 2005 from these journals were indexed according to a given list of model types. Random samples out of these publications were analysed in more depth.

RESULTS

Three hundred and eighty-four publications have been analysed, 190 of IJMI and 194 of MIM. For publications in special issues (121 in IJMI) and special topics (132 in MIM) we found differences between theme-centered and conference-centered special issues/special topics (SIT) publications. In particular, we could observe a high variation between modeling in publications of theme-centered SITs. It became obvious that often sound formal knowledge as well as a strong engineering background is needed for carrying out this type of research. Usually, this knowledge and the related skills can be best provided in consecutive B.Sc. and M.Sc. programs in medical informatics (respectively, health informatics, biomedical informatics). If the focus should be primarily on health information systems and evaluation this can be offered in a M.Sc. program in medical informatics.

CONCLUSIONS

In analysing the 384 publications it became obvious that modeling continues to be a major task in research, education and practice in biomedical and health informatics. Knowledge and skills on a broad range of model types are needed in biomedical/health informatics.