@misc{VolkertBeckCederholmetal.2019,
  author    = {Volkert, Dorothee and Beck, Anne Marie and Cederholm, Tommy and Cereda, Emanuele and Cruz-Jentoft, Alfonso J. and Goisser, Sabine and de Groot, Lisette and Grosshauser, Franz and Kiesswetter, Eva and Norman, Kristina and Pourhassan, Maryam and Reinders, Ilse and Roberts, Helen C. and Rolland, Yves and Schneider, St{\´e}phane M. and Sieber, Cornel and Thiem, Ulrich and Visser, Marjolein and Wijnhoven, Hanneke and Wirth, Rainer},
  title     = {Management of malnutrition in older patients},
  series = {Journal of Clinical Medicine : open access journal},
  volume    = {8},
  journal   = {Journal of Clinical Medicine : open access journal},
  number    = {7},
  publisher = {MDPI},
  address   = {Basel},
  issn      = {2077-0383},
  doi       = {10.3390/jcm8070974},
  pages     = {16},
  year      = {2019},
  abstract  = {Malnutrition is widespread in older people and represents a major geriatric syndrome with multifactorial etiology and severe consequences for health outcomes and quality of life. The aim of the present paper is to describe current approaches and evidence regarding malnutrition treatment and to highlight relevant knowledge gaps that need to be addressed. Recently published guidelines of the European Society for Clinical Nutrition and Metabolism (ESPEN) provide a summary of the available evidence and highlight the wide range of different measures that can be taken—from the identification and elimination of potential causes to enteral and parenteral nutrition—depending on the patient's abilities and needs. However, more than half of the recommendations therein are based on expert consensus because of a lack of evidence, and only three are concern patient-centred outcomes. Future research should further clarify the etiology of malnutrition and identify the most relevant causes in order to prevent malnutrition. Based on limited and partly conflicting evidence and the limitations of existing studies, it remains unclear which interventions are most effective in which patient groups, and if specific situations, diseases or etiologies of malnutrition require specific approaches. Patient-relevant outcomes such as functionality and quality of life need more attention, and research methodology should be harmonised to allow for the comparability of studies.},
  language  = {en}
}
@misc{BeckBallesterosMejiaBuchmannetal.2012,
  author    = {Beck, Jan and Ballesteros-Mejia, Liliana and Buchmann, Carsten M. and Dengler, J{\"u}rgen and Fritz, Susanne A. and Gruber, Bernd and Hof, Christian and Jansen, Florian and Knapp, Sonja and Kreft, Holger and Schneider, Anne-Kathrin and Winter, Marten and Dormann, Carsten F.},
  title     = {What's on the horizon for macroecology?},
  series = {Ecography : pattern and diversity in ecology ; research papers forum},
  volume    = {35},
  journal   = {Ecography : pattern and diversity in ecology ; research papers forum},
  number    = {8},
  publisher = {Wiley-Blackwell},
  address   = {Hoboken},
  issn      = {0906-7590},
  doi       = {10.1111/j.1600-0587.2012.07364.x},
  pages     = {673 -- 683},
  year      = {2012},
  abstract  = {Over the last two decades, macroecology the analysis of large-scale, multi-species ecological patterns and processes has established itself as a major line of biological research. Analyses of statistical links between environmental variables and biotic responses have long and successfully been employed as a main approach, but new developments are due to be utilized. Scanning the horizon of macroecology, we identified four challenges that will probably play a major role in the future. We support our claims by examples and bibliographic analyses. 1) Integrating the past into macroecological analyses, e.g. by using paleontological or phylogenetic information or by applying methods from historical biogeography, will sharpen our understanding of the underlying reasons for contemporary patterns. 2) Explicit consideration of the local processes that lead to the observed larger-scale patterns is necessary to understand the fine-grain variability found in nature, and will enable better prediction of future patterns (e.g. under environmental change conditions). 3) Macroecology is dependent on large-scale, high quality data from a broad spectrum of taxa and regions. More available data sources need to be tapped and new, small-grain large-extent data need to be collected. 4) Although macroecology already lead to mainstreaming cutting-edge statistical analysis techniques, we find that more sophisticated methods are needed to account for the biases inherent to sampling at large scale. Bayesian methods may be particularly suitable to address these challenges. To continue the vigorous development of the macroecological research agenda, it is time to address these challenges and to avoid becoming too complacent with current achievements.},
  language  = {en}
}