Benchmarking systems are important features for the implementation of efficacy in basic and applied sciences. These systems are urgently needed for many fields of science since there is an imbalance present between funding policies and research evaluation. Here, a new approach is presented with an international study project that uses visualisation techniques for benchmarking processes. The project is entitled New Quality and Quantity Indices in Science (NewQIS). The juxtaposition of classical scientometric tools and novel visualisation techniques can be used to assess quality and quantity in science. In specific, the tools can be used to assess quality and quantity of research activity for distinct areas of science, for single institutions, for countries, for single time periods, or for single scientists. Also, NewQIS may be used to compare different fields, institutions, countries, or scientists for their scientific output. Thus, decision making for funding allocation can be made more transparent. Since governmental bodies that supervise funding policies and allocation processes are often not equipped with an in depth expertise in this area, special attention is given to data visualisation techniques that allow to visualize mapping of research activity and quality.

Background and Objectives: There is a wide diversity of opinions regarding the management of delayed inflammatory reactions (DIRs) secondary to hyaluronic acid (HA)-based fillers. The plethora of approaches has led the authors to conduct a review regarding management and treatment of DIRs as well as establish therapeutic guidelines for this purpose. Materials and Methods: A review of the literature was performed through databases such as PubMed using keywords including HA-fillers and complications, delayed HA filler sequelae and therapy, soft tissue and dermal filler reactions and management. Additionally, a survey comprised of questions regarding the management and treatment of DIRs was sent to 18 physicians highly experienced with soft-tissue filler injections in 10 countries. Their answers and recommendations were analyzed and debated amongst these panelists. Results: Sixteen panelists favored antibiotic therapy as first-line treatment for DIRs, specifically dual antibiotic therapy consisting of a fluoroquinolone along with a tetracycline or macrolide for a period of 3-6 weeks. The majority refrained from the use of intralesional (IL) or systemic steroids except in the case of disfiguring or recalcitrant reactions. IL hyaluronidase was recommended by 13 panelists; however, some preferred a watchful waiting approach for a period of 48 hours to 2 weeks prior to IL hyaluronidase, and in cases where antibiotics did not lead to improvement. Conclusion: A consensus was reached and summarized to propose a clear, easy-to-follow, stepwise algorithm for the treatment of DIRs.

Information on chromosomal aberrations in cutaneous T cell lymphomas (CTCL), is scarce. In this study, comparative genomic hybridization (CGH) was used to analyze chromosomal imbalances (CI) in 32 patients with CTCL. CI were detected in 21 patients (66%). Euchromatic loss (dim) was localized most frequently (>16%) at the chromosomal regions 17p (28%), 13q (25%), 10q (16%), and 6q (19%), and gain of chromatin (enh) at 7 (25%), 8q (25%), and 17q (16%). The pattern dim6q-enh7-enh8-dim13 was the most frequent combination of CI. The number of aberrations per tumor sample varied between 0 and 19 and correlated with clinical tumor stages: from none in stage Ia to 8.75+/-1.8 (mean+/-SEM) in stage IVa. CI occurred more frequently in aggressive subtypes (9.33+/-2.16) than in indolent (2.88+/-0.8) subtypes. A high number of CI (>/=5) was associated with shorter survival. Gain of chromatin in 8q and loss of 6q and 13q correlated with a significantly shorter survival, whereas the most frequently observed aberrations (loss in 17p and gain in 7) did not influence the prognosis. In summary, CGH analysis revealed a characteristic pattern of recurring chromosomal gains and losses in CTCL. The association of the imbalances with the clinical course of the disease suggests that genes encoded at these loci may influence tumor development and progression.