Patient-generated subjective global assessment:innovation from paper to digital app

Purpose: The Patient-Generated Subjective Global Assessment (PG-SGA), including the PG-SGA Short Form (SF, aka ‘abridged’), was originally developed in the mid 1990’s as a scored, patient self-report, paperbased instrument and has been widely validated. The PG-SGA (SF) has been used for screening, assessment and monitoring, triageing for multimodal intervention and for evaluation of clinical and health economic outcomes. There have been ad hoc translations, often with permission of the originator (FDO) but broad international use requires consistent, medically accurate, and certified translations. Although the PG-SGA (or SF) is known to be quick and easy, current advances in technology could further improve and facilitate quick and easy use of global patient screening and assessment, standardized scoring algorithms, limiting inter-observer variability, and global collaboration and communication. We aimed to develop a user friendly, cross-culturally validated, multilingual digital app and resources to support the clinical and research applications of the PG-SGA (SF) and Pt-Global app in the context of a global centralized database and research consortium. Methods: After completion of a Dutch PG-SGA cross-cultural adaptation project, a digital app based on the English and Dutch PG-SGA was developed. Steps included: 1) development and testing of standardized scoring and decision-making algorithms based on the validated PG-SGA scoring system; 2) compatibility with iOS, Android and WindowsPhone platforms; 3) development and pilot testing of prototype by an international test panel (n=35; professionals testing the app on patients as part of routine care process, researchers, and lay persons) from Australia, Belgium, Canada, Norway, Sweden, The Netherlands and USA, evaluating the app on lay-out, user friendliness, relevance and time of completion; 4) improvement based on input; 5) launch of app and supportive website at www.pt-global.org on 12 Jun 2014, including complimentary introductory use; 5) international education activities; 6) digital presence through Twitter, Facebook, LinkedIn and YouTube; 7) launch of web-based version on 15 September 2014. Results: 15 professionals (Pros; 11 dietitians, 1 doctor, 1 physiotherapist) and 2 lay persons participated in the pilot testing. Included settings were: 9 hospitals, 4 cancer centers, 2 nursing homes, 3 research. 8/15 had experience with the PG-SGA, 7/15 PG-SGA were naïve. 5 Pros tested on 1-5 patients, and 9 on 6-10 patients. 88% rated layout (very) good with feedback: calm, professional, clear, intuitive, easy; 88% rated good for user friendliness. 75% rated flow/user interface (very) good. In 88% Patient screens were completed by Pros. Reported time to complete Patient screens was: 65% in 0-5 minutes, 29% in 5-10 min; 6% (n=1) >10 minutes. Interestingly, patients started completing the app spontaneously. Some issues with concerns about touch screen were expressed. 87% completed the professional section in

The Microphenotron: a robotic miniaturized plant phenotyping platform with diverse applications in chemical biology

Background Chemical genetics provides a powerful alternative to conventional genetics for understanding gene function. However, its application to plants has been limited by the lack of a technology that allows detailed phenotyping of whole-seedling development in the context of a high-throughput chemical screen. We have therefore sought to develop an automated micro-phenotyping platform that would allow both root and shoot development to be monitored under conditions where the phenotypic effects of large numbers of small molecules can be assessed. Results The ‘Microphenotron’ platform uses 96-well microtitre plates to deliver chemical treatments to seedlings of Arabidopsis thaliana L. and is based around four components: (a) the ‘Phytostrip’, a novel seedling growth device that enables chemical treatments to be combined with the automated capture of images of developing roots and shoots; (b) an illuminated robotic platform that uses a commercially available robotic manipulator to capture images of developing shoots and roots; (c) software to control the sequence of robotic movements and integrate these with the image capture process; (d) purpose-made image analysis software for automated extraction of quantitative phenotypic data. Imaging of each plate (representing 80 separate assays) takes 4 min and can easily be performed daily for time-course studies. As currently configured, the Microphenotron has a capacity of 54 microtitre plates in a growth room footprint of 2.1 m², giving a potential throughput of up to 4320 chemical treatments in a typical 10 days experiment. The Microphenotron has been validated by using it to screen a collection of 800 natural compounds for qualitative effects on root development and to perform a quantitative analysis of the effects of a range of concentrations of nitrate and ammonium on seedling development. Conclusions The Microphenotron is an automated screening platform that for the first time is able to combine large numbers of individual chemical treatments with a detailed analysis of whole-seedling development, and particularly root system development. The Microphenotron should provide a powerful new tool for chemical genetics and for wider chemical biology applications, including the development of natural and synthetic chemical products for improved agricultural sustainability

Phylogenomics and the rise of the angiosperms.

Angiosperms are the cornerstone of most terrestrial ecosystems and human livelihoods1,2. A robust understanding of angiosperm evolution is required to explain their rise to ecological dominance. So far, the angiosperm tree of life has been determined primarily by means of analyses of the plastid genome3,4. Many studies have drawn on this foundational work, such as classification and first insights into angiosperm diversification since their Mesozoic origins5-7. However, the limited and biased sampling of both taxa and genomes undermines confidence in the tree and its implications. Here, we build the tree of life for almost 8,000 (about 60%) angiosperm genera using a standardized set of 353 nuclear genes8. This 15-fold increase in genus-level sampling relative to comparable nuclear studies9 provides a critical test of earlier results and brings notable change to key groups, especially in rosids, while substantiating many previously predicted relationships. Scaling this tree to time using 200 fossils, we discovered that early angiosperm evolution was characterized by high gene tree conflict and explosive diversification, giving rise to more than 80% of extant angiosperm orders. Steady diversification ensued through the remaining Mesozoic Era until rates resurged in the Cenozoic Era, concurrent with decreasing global temperatures and tightly linked with gene tree conflict. Taken together, our extensive sampling combined with advanced phylogenomic methods shows the deep history and full complexity in the evolution of a megadiverse clade