Medical hypotheses
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Alzheimer's disease [AD] is the most common cause of dementia among people age 65 and older. One of the biggest stumbling blocks in developing effective drug therapy for Alzheimer's disease has been the lack of a comprehensive hypothesis that explains the mechanism behind all of the histopathological changes seen in patients suffering from Alzheimer's disease. An overview of the currently popular 'amyloid' and 'vascular' hypotheses for AD demonstrates that neither hypothesis by itself can explain all the known histopathological and biochemical lesions seen in Alzheimer's disease. ⋯ According to the hypothesis, beta amyloid peptides are necessary if not sufficient to cause AD, VaD and mixed senile dementias. The hypothesis, therefore, proposes the term Beta Amyloid Dementias [BAD] to describe the conditions currently covered by the diagnoses of 'AD', 'VaD' and 'Mixed [senile] Dementias'. Finally, the ABSENT hypothesis tries to put forth a direct chemical mechanism behind the apparent synergy and increased association between old age, pre- and coexisting vascular disease, diabetes and AD.
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In clinical research, suitable visualization techniques of data after statistical analysis are crucial for the researches' and physicians' understanding. Common statistical techniques to analyze data in clinical research are logistic regression models. Among these, the application of binary logistic regression analysis (LRA) has greatly increased during past years, due to its diagnostic accuracy and because scientists often want to analyze in a dichotomous way whether some event will occur or not. ⋯ For the case of multiple predictor models, I propose here a relief 3D surface graphic in order to plot up to four independent variables (two continuous and two discrete). By using this technique, any researcher or physician would be able to transform a lesser understandable logit function into a figure easier to grasp, thus leading to a better knowledge and interpretation of data in clinical research. For this, a sophisticated statistical package is not necessary, because the graphical display may be generated by using any 2D or 3D surface plotter.
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In recent years, the perception has grown that conflicts of interest are having a detrimental effect on medical science as it influences health policy and clinical practice, leading medical journals to enforce self-declaration of potential biases in the attempt to counteract or compensate for the problem. Conflict of interest (CoI) declarations have traditionally been considered inappropriate in pure science since its evaluation systems themselves constitute a mechanism for eliminating the effect of individual biases. Pure science is primarily evaluated by 'peer usage', in which scientific information is 'replicated' by being incorporated in the work of other scientists, and tested by further observation of the natural world. ⋯ But since peer review does not adequately filter-out conflicts of interest in applied medical science, there is a need for the evolution of specialist post-publication institutional mechanisms. The suggested solution is to encourage the establishment of independent 'CoI consultancy' services, whose role would be to evaluate conflicts of interest and other biases in published applied medical science prior to their implementation. Such services would be paid-for by the groups who intend to implement applied medical research.