Do Paediatric and Adult Surgeons Follow Different Approaches to Physeal Fractures?

INTRODUCTION: The treatment of paediatric fractures is the concern of several different surgical specialties. There has been no scientific investigation on the different concepts of paediatric (PS) and adult surgeons (AS). METHODS: 62 paediatric traumatologists were asked concerning their experience with physeal fractures of the leg, including ten cases. RESULTS: Growth disturbances was estimated to be more rare by PS. On evaluation of the examples there were no significant differences in the judgement of degree and direction of the displacement. For displaced fractures, PS rather preferred closed reduction and immobilisation, whereas AS favoured osteosynthesis. DISCUSSION: There were no basic differences between PS and AS in the treatment of lower limb fractures. AS tend to act more invasively. At the same time they are more concerned about growth disturbances.

PTCH promoter methylation at low level in sporadic basal cell carcinoma analysed by three different approaches

Please cite this paper as: PTCH promoter methylation at low level in sporadic basal cell carcinoma analysed by three different approaches. Experimental Dermatology 2010. Abstract: Basal cell carcinoma (BCC) is the most common form of skin cancer. Mutations of the PTCH hallmark gene are detected in about 50-60% of BCCs, which raises the question whether other mechanisms such as promoter methylation can inactivate PTCH. Therefore, we performed methylation analysis of the PTCH promoter in a total of 56 BCCs. The sensitivity of three different methods, including direct bisulphite sequencing PCR, MethyLight and high-resolution melting (HRM), was applied and compared. We found that HRM analysis of DNA from fresh tissue [rather than formalin-fixed and paraffin-embedded tissue (FFPE)] was the most sensitive method to detect methylation. Low-level methylation of the PTCH promoter was detected in five out of 16 analysed BCCs (31%) on DNA from fresh tissue but only in two (13%) samples on short-time stored FFPE DNA from the very same tumors. In contrast, we were unable to detect methylation by HRM on long-time stored DNA in any of the remaining 40 BCC samples. Our data suggest that (i) HRM on DNA extracted from fresh tissue is the most sensitive method to detect methylation and (ii) methylation of the PTCH promoter may only play a minor role in BCC carcinogenesis.

Combining spatial-temporal and phylogenetic analysis approaches for improved understanding on global H5N1 transmission

Background Since late 2003, the highly pathogenic influenza A H5N1 had initiated several outbreak waves that swept across the Eurasia and Africa continents. Getting prepared for reassortment or mutation of H5N1 viruses has become a global priority. Although the spreading mechanism of H5N1 has been studied from different perspectives, its main transmission agents and spread route problems remain unsolved. Methodology/Principal Findings Based on a compilation of the time and location of global H5N1 outbreaks from November 2003 to December 2006, we report an interdisciplinary effort that combines the geospatial informatics approach with a bioinformatics approach to form an improved understanding on the transmission mechanisms of H5N1 virus. Through a spherical coordinate based analysis, which is not conventionally done in geographical analyses, we reveal obvious spatial and temporal clusters of global H5N1 cases on different scales, which we consider to be associated with two different transmission modes of H5N1 viruses. Then through an interdisciplinary study of both geographic and phylogenetic analysis, we obtain a H5N1 spreading route map. Our results provide insight on competing hypotheses as to which avian hosts are responsible for the spread of H5N1. Conclusions/Significance We found that although South China and Southeast Asia may be the virus pool of avian flu, East Siberia may be the source of the H5N1 epidemic. The concentration of migratory birds from different places increases the possibility of gene mutation. Special attention should be paid to East Siberia, Middle Siberia and South China for improved surveillance of H5N1 viruses and monitoring of migratory birds.

Managing a World Heritage Site: Potentials and limitations of transdisciplinary approaches

Balancing the frequently conflicting priorities of conservation and economic development poses a challenge to management of the Swiss Alps Jungfrau- Aletsch World Heritage Site (WHS). This is a complex societal problem that calls for a knowledge-based solution. This in turn requires a transdisciplinary research framework in which problems are defined and solved cooperatively by actors from the scientific community and the life-world. In this article we re-examine studies carried out in the region of the Swiss Alps Jungfrau-Aletsch WHS, covering three key issues prevalent in transdisciplinary settings: integration of stakeholders into participatory processes; perceptions and positions; and negotiability and implementation. In the case of the Swiss Alps Jungfrau-Aletsch WHS the transdisciplinary setting created a situation of mutual learning among stakeholders from different levels and backgrounds. However, the studies showed that the benefits of such processes of mutual learning are continuously at risk of being diminished by the power play inherent in participatory approaches.

An overview of the objectives of and the approaches to propensity score analyses

The assessment of treatment effects from observational studies may be biased with patients not randomly allocated to the experimental or control group. One way to overcome this conceptual shortcoming in the design of such studies is the use of propensity scores to adjust for differences of the characteristics between patients treated with experimental and control interventions. The propensity score is defined as the probability that a patient received the experimental intervention conditional on pre-treatment characteristics at baseline. Here, we review how propensity scores are estimated and how they can help in adjusting the treatment effect for baseline imbalances. We further discuss how to evaluate adequate overlap of baseline characteristics between patient groups, provide guidelines for variable selection and model building in modelling the propensity score, and review different methods of propensity score adjustments. We conclude that propensity analyses may help in evaluating the comparability of patients in observational studies, and may account for more potential confounding factors than conventional covariate adjustment approaches. However, bias due to unmeasured confounding cannot be corrected for.