Additive homeopathy in cancer patients: Retrospective survival data from a homeopathic outpatient unit at the Medical University of Vienna

Background: Current literature suggests a positive influence of additive classical homeopathyon global health and well-being in cancer patients. Besides encouraging case reports, thereis little if any research on long-term survival of patients who obtain homeopathic care duringcancer treatment. Design: Data from cancer patients who had undergone homeopathic treatment complementaryto conventional anti-cancer treatment at the Outpatient Unit for Homeopathy in MalignantDiseases, Medical University Vienna, Department of Medicine I, Vienna, Austria, were collected,described and a retrospective subgroup-analysis with regard to survival time was performed.Patient inclusion criteria were at least three homeopathic consultations, fatal prognosis ofdisease, quantitative and qualitative description of patient characteristics, and survival time. Results: In four years, a total of 538 patients were recorded to have visited the OutpatientUnit Homeopathy in Malignant Diseases, Medical University Vienna, Department of Medicine I, Vienna, Austria. 62.8% of them were women, and nearly 20% had breast cancer. From the 53.7%(n = 287) who had undergone at least three homeopathic consultations within four years, 18.7%(n = 54) fulfilled inclusion criteria for survival analysis. The surveyed neoplasms were glioblas-toma, lung, cholangiocellular and pancreatic carcinomas, metastasized sarcoma, and renal cellcarcinoma. Median overall survival was compared to expert expectations of survival outcomesby specific cancer type and was prolonged across observed cancer entities (p < 0.001). Conclusion: Extended survival time in this sample of cancer patients with fatal prognosis butadditive homeopathic treatment is interesting. However, findings are based on a small sample,and with only limited data available about patient and treatment characteristics. The relationshipbetween homeopathic treatment and survival time requires prospective investigation in largersamples possibly using matched-pair control analysis or randomized trials.

Computer simulations of sample preconcentration in carrier-free systems and isoelectric focusing in microchannels using simple ampholytes.

In this work, electrophoretic preconcentration of protein and peptide samples in microchannels was studied theoretically using the 1D dynamic simulator GENTRANS, and experimentally combined with MS. In all configurations studied, the sample was uniformly distributed throughout the channel before power application, and driving electrodes were used as microchannel ends. In the first part, previously obtained experimental results from carrier-free systems are compared to simulation results, and the effects of atmospheric carbon dioxide and impurities in the sample solution are examined. Simulation provided insight into the dynamics of the transport of all components under the applied electric field and revealed the formation of a pure water zone in the channel center. In the second part, the use of an IEF procedure with simple well defined amphoteric carrier components, i.e. amino acids, for concentration and fractionation of peptides was investigated. By performing simulations a qualitative description of the analyte behavior in this system was obtained. Neurotensin and [Glu1]-Fibrinopeptide B were separated by IEF in microchannels featuring a liquid lid for simple sample handling and placement of the driving electrodes. Component distributions in the channel were detected using MALDI- and nano-ESI-MS and data were in agreement with those obtained by simulation. Dynamic simulations are demonstrated to represent an effective tool to investigate the electrophoretic behavior of all components in the microchannel.

Social Network Analysis and Qualitative Comparative Analysis: Their mutual benefit for the explanation of policy network structures

By switching the level of analysis and aggregating data from the micro-level of individual cases to the macro-level, quantitative data can be analysed within a more case-based approach. This paper presents such an approach in two steps: In a first step, it discusses the combination of Social Network Analysis (SNA) and Qualitative Comparative Analysis (QCA) in a sequential mixed-methods research design. In such a design, quantitative social network data on individual cases and their relations at the micro-level are used to describe the structure of the network that these cases constitute at the macro-level. Different network structures can then be compared by QCA. This strategy allows adding an element of potential causal explanation to SNA, while SNA-indicators allow for a systematic description of the cases to be compared by QCA. Because mixing methods can be a promising, but also a risky endeavour, the methodological part also discusses the possibility that underlying assumptions of both methods could clash. In a second step, the research design presented beforehand is applied to an empirical study of policy network structures in Swiss politics. Through a comparison of 11 policy networks, causal paths that lead to a conflictual or consensual policy network structure are identified and discussed. The analysis reveals that different theoretical factors matter and that multiple conjunctural causation is at work. Based on both the methodological discussion and the empirical application, it appears that a combination of SNA and QCA can represent a helpful methodological design for social science research and a possibility of using quantitative data with a more case-based approach.