Models with Plants, Microorganisms and Viruses for Basic Research in Homeopathy

Most criticism about homeopathy concerns the lack of a scientific basis and theoretical models. In order to be accepted as a valid part of medical practice, a wellstructured research strategy for homeopathy is needed. This is often hampered by methodological problems as well as by gross underinvestment in the required academic resources. Fundamental research could make important contributions to our understanding of the homeopathic and high dilutions mechanisms of action. Since the pioneering works of Kolisko on wheat germination (Kolisko, 1923) and Junker on growth of microorganisms (paramecium, yeast, fungi) (Junker, 1928), a number of experiments have been performed either with healthy organisms (various physiological aspects of growth) or with artificially diseased organisms, which may react more markedly to homeopathic treatments than healthy ones. In the latter case, the preliminary stress may be either abiotic, e.g. heavy metals, or biotic, e.g. fungal and viral pathogens or nematode infection. Research has also been carried out into the applicability of homeopathic principles to crop growth and disease control (agrohomeopathy): because of the extreme dilutions used, the environmental impact is low and such treatments are well suited to the holistic approach of sustainable agriculture (Betti et al., 2006). Unfortunately, as Scofield reported in an extensive critical review (Scofield, 1984), there is little firm evidence to support the reliability of the reported results, due to poor experimental methodology and inadequate statistical analysis. Moreover, since there is no agricultural homeopathic pharmacopoeia, much work is required to find suitable remedies, potencies and dose levels.

[Neither Descartes nor Freud? current pain models in psychosomatic medicine]

Models explaining chronic pain based on the mere presence or absence of peripheral somatic findings or which view pain of psychological origin when there is no somatic explanation, have their shortcomings. Current scientific knowledge calls for distinct pain concepts, which integrate neurobiological and neuropsychological aspects of pain processing.

Individual patient data meta-analysis of diagnostic and prognostic studies in obstetrics, gynaecology and reproductive medicine

BACKGROUND: In clinical practice a diagnosis is based on a combination of clinical history, physical examination and additional diagnostic tests. At present, studies on diagnostic research often report the accuracy of tests without taking into account the information already known from history and examination. Due to this lack of information, together with variations in design and quality of studies, conventional meta-analyses based on these studies will not show the accuracy of the tests in real practice. By using individual patient data (IPD) to perform meta-analyses, the accuracy of tests can be assessed in relation to other patient characteristics and allows the development or evaluation of diagnostic algorithms for individual patients. In this study we will examine these potential benefits in four clinical diagnostic problems in the field of gynaecology, obstetrics and reproductive medicine. METHODS/DESIGN: Based on earlier systematic reviews for each of the four clinical problems, studies are considered for inclusion. The first authors of the included studies will be invited to participate and share their original data. After assessment of validity and completeness the acquired datasets are merged. Based on these data, a series of analyses will be performed, including a systematic comparison of the results of the IPD meta-analysis with those of a conventional meta-analysis, development of multivariable models for clinical history alone and for the combination of history, physical examination and relevant diagnostic tests and development of clinical prediction rules for the individual patients. These will be made accessible for clinicians. DISCUSSION: The use of IPD meta-analysis will allow evaluating accuracy of diagnostic tests in relation to other relevant information. Ultimately, this could increase the efficiency of the diagnostic work-up, e.g. by reducing the need for invasive tests and/or improving the accuracy of the diagnostic workup. This study will assess whether these benefits of IPD meta-analysis over conventional meta-analysis can be exploited and will provide a framework for future IPD meta-analyses in diagnostic and prognostic research.

[Complementary and alternative medicine in primary care in Switzerland]

OBJECTIVE: This study investigated the current supply of complementary and alternative medicine (CAM) in Swiss primary care. Information was collected on physicians' qualifications in CAM, frequency of patients' demand for CAM, physicians' supply and temporal resources for CAM as well as physicians' referrals to CAM. MATERIAL AND METHODS: 750 (500 German-speaking and 250 French-speaking) randomly selected Swiss female and male primary care physicians were asked to complete a questionnaire (response rate 50.4%). Sociodemographic data on professional training, place of residence, and sex were used to calculate a weighting factor to correct the responders' data in the analysis accordingly. RESULTS: 14.2% of the physicians were qualified in at least one CAM discipline. Around 30% (95% confidence interval 25.4-34.6%) of the physicians were asked for CAM by their patients more than once a week. Homeopathy and phytotherapy were the most frequently offered therapies, followed by traditional Chinese medicine (TCM)/acupuncture. 62.5% (57.6-67.4%) of the physicians refer their patients to CAM. Most patients were referred to TCM/acupuncture. Of the 37.2% (32.6-42.4%) of the physicians who do not refer their patients to CAM, around 40% (35.1-44.9%) offer it themselves. CONCLUSION: About three quarters of the physicians offer CAM themselves or refer their patients to CAM treatments. CAM is very important in primary medical care in Switzerland. Clear regulations for CAM are required in order to ensure a high quality in care.