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1.
  • Hudson, Lawrence N, et al. (author)
  • The database of the PREDICTS (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems) project
  • 2017
  • In: Ecology and Evolution. - : John Wiley & Sons. - 2045-7758. ; 7:1, s. 145-188
  • Journal article (peer-reviewed)abstract
    • The PREDICTS project-Projecting Responses of Ecological Diversity In Changing Terrestrial Systems (www.predicts.org.uk)-has collated from published studies a large, reasonably representative database of comparable samples of biodiversity from multiple sites that differ in the nature or intensity of human impacts relating to land use. We have used this evidence base to develop global and regional statistical models of how local biodiversity responds to these measures. We describe and make freely available this 2016 release of the database, containing more than 3.2 million records sampled at over 26,000 locations and representing over 47,000 species. We outline how the database can help in answering a range of questions in ecology and conservation biology. To our knowledge, this is the largest and most geographically and taxonomically representative database of spatial comparisons of biodiversity that has been collated to date; it will be useful to researchers and international efforts wishing to model and understand the global status of biodiversity.
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2.
  • Hudson, Lawrence N., et al. (author)
  • The PREDICTS database : a global database of how local terrestrial biodiversity responds to human impacts
  • 2014
  • In: Ecology and Evolution. - : Wiley. - 2045-7758. ; 4:24, s. 4701-4735
  • Journal article (peer-reviewed)abstract
    • Biodiversity continues to decline in the face of increasing anthropogenic pressures such as habitat destruction, exploitation, pollution and introduction of alien species. Existing global databases of species' threat status or population time series are dominated by charismatic species. The collation of datasets with broad taxonomic and biogeographic extents, and that support computation of a range of biodiversity indicators, is necessary to enable better understanding of historical declines and to project - and avert - future declines. We describe and assess a new database of more than 1.6 million samples from 78 countries representing over 28,000 species, collated from existing spatial comparisons of local-scale biodiversity exposed to different intensities and types of anthropogenic pressures, from terrestrial sites around the world. The database contains measurements taken in 208 (of 814) ecoregions, 13 (of 14) biomes, 25 (of 35) biodiversity hotspots and 16 (of 17) megadiverse countries. The database contains more than 1% of the total number of all species described, and more than 1% of the described species within many taxonomic groups - including flowering plants, gymnosperms, birds, mammals, reptiles, amphibians, beetles, lepidopterans and hymenopterans. The dataset, which is still being added to, is therefore already considerably larger and more representative than those used by previous quantitative models of biodiversity trends and responses. The database is being assembled as part of the PREDICTS project (Projecting Responses of Ecological Diversity In Changing Terrestrial Systems - ). We make site-level summary data available alongside this article. The full database will be publicly available in 2015.
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3.
  • Barazzoni, Rocco, et al. (author)
  • Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition (GLIM) diagnosis of malnutrition
  • 2022
  • In: Clinical Nutrition. - : Elsevier. - 0261-5614 .- 1532-1983. ; 41:6, s. 1425-1433
  • Journal article (peer-reviewed)abstract
    • The Global Leadership Initiative on Malnutrition (GLIM) provides consensus criteria for the diagnosis of malnutrition that can be widely applied. The GLIM approach is based on the assessment of three phenotypic (weight loss, low body mass index, and low skeletal muscle mass) and two etiologic (low food intake and presence of disease with systemic inflammation) criteria, with diagnosis confirmed by any combination of one phenotypic and one etiologic criterion fulfilled. Assessment of muscle mass is less commonly performed than other phenotypic malnutrition criteria, and its interpretation may be less straightforward, particularly in settings that lack access to skilled clinical nutrition practitioners and/or to body composition methodologies. In order to promote the widespread assessment of skeletal muscle mass as an integral part of the GLIM diagnosis of malnutrition, the GLIM consortium appointed a working group to provide consensus-based guidance on assessment of skeletal muscle mass. When such methods and skills are available, quantitative assessment of muscle mass should be measured or estimated using dual-energy x-ray absorptiometry, computerized tomography, or bioelectrical impedance analysis. For settings where these resources are not available, then the use of anthropometric measures and physical examination are also endorsed. Validated ethnic-and sex-specific cutoff values for each measurement and tool are recommended when available. Measurement of skeletal muscle function is not advised as surrogate measurement of muscle mass. However, once malnutrition is diagnosed, skeletal muscle function should be investigated as a relevant component of sarcopenia and for complete nutrition assessment of persons with malnutrition. (c) 2022 Elsevier Ltd. and European Society for Clinical Nutrition and Metabolism and American Society for Parenteral and Enteral Nutrition. All rights reserved.
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4.
  • Cederholm, Tommy, et al. (author)
  • Guidance for assessment of the inflammation etiologic criterion for the GLIM diagnosis of malnutrition : A modified Delphi approach
  • 2023
  • In: Clinical Nutrition. - : Churchill Livingstone. - 0261-5614 .- 1532-1983. ; 43:5, s. 10
  • Journal article (peer-reviewed)abstract
    • BACKGROUND : The Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation, and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation. METHODS : A GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified Delphi review. A multiround review and revision process served to develop seven guidance statements. RESULTS : The final round of review was highly favorable, with 99% overall "agree" or "strongly agree" responses. Thepresence of acute or chronic disease, infection, or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (milligrams per deciliter or milligram per liter) for the clinical laboratory that is being used. CONCLUSION : Confirmation of inflammation should be guided by clinical judgment based on underlying diagnosis or condition, clinical signs, or CRP.
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5.
  • Compher, Charlene, et al. (author)
  • Guidance for assessment of the muscle mass phenotypic criterion for the Global Leadership Initiative on Malnutrition diagnosis of malnutrition
  • 2022
  • In: JPEN - Journal of Parenteral and Enteral Nutrition. - : John Wiley & Sons. - 0148-6071 .- 1941-2444. ; 46:6, s. 1232-1242
  • Journal article (peer-reviewed)abstract
    • The Global Leadership Initiative on Malnutrition (GLIM) provides consensus criteria for the diagnosis of malnutrition that can be widely applied. The GLIM approach is based on the assessment of three phenotypic (weight loss, low body mass index, and low skeletal muscle mass) and two etiologic (low food intake and presence of disease with systemic inflammation) criteria, with diagnosis confirmed by any combination of one phenotypic and one etiologic criterion fulfilled. Assessment of muscle mass is less commonly performed than other phenotypic malnutrition criteria, and its interpretation may be less straightforward, particularly in settings that lack access to skilled clinical nutrition practitioners and/or to body composition methodologies. In order to promote the widespread assessment of skeletal muscle mass as an integral part of the GLIM diagnosis of malnutrition, the GLIM consortium appointed a working group to provide consensus-based guidance on assessment of skeletal muscle mass. When such methods and skills are available, quantitative assessment of muscle mass should be measured or estimated using dual-energy x-ray absorptiometry, computerized tomography, or bioelectrical impedance analysis. For settings where these resources are not available, then the use of anthropometric measures and physical examination are also endorsed. Validated ethnic- and sex-specific cutoff values for each measurement and tool are recommended when available. Measurement of skeletal muscle function is not advised as surrogate measurement of muscle mass. However, once malnutrition is diagnosed, skeletal muscle function should be investigated as a relevant component of sarcopenia and for complete nutrition assessment of persons with malnutrition.
  •  
6.
  • Jensen, Gordon L, et al. (author)
  • Guidance for assessment of the inflammation etiologic criterion for the GLIM diagnosis of malnutrition : A modified Delphi approach
  • 2024
  • In: Journal of Parenteral and Enteral Nutrition. - : John Wiley & Sons Inc.. - 0148-6071 .- 1941-2444. ; 48:2, s. 145-154
  • Journal article (peer-reviewed)abstract
    • BACKGROUND : The Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation, and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation. METHODS : A GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified Delphi review. A multiround review and revision process served to develop seven guidance statements. RESULTS : The final round of review was highly favorable, with 99% overall "agree" or "strongly agree" responses. Thepresence of acute or chronic disease, infection, or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (milligrams per deciliter or milligram per liter) for the clinical laboratory that is being used. CONCLUSION : Confirmation of inflammation should be guided by clinical judgment based on underlying diagnosis or condition, clinical signs, or CRP.
  •  
7.
  • Jensen, Gordon L., et al. (author)
  • Guidance for assessment of the inflammation etiologic criterion for the GLIM diagnosis of malnutrition : A modified Delphi approach
  • 2024
  • In: JPEN - Journal of Parenteral and Enteral Nutrition. - : John Wiley & Sons. - 0148-6071 .- 1941-2444. ; 48:2, s. 145-154
  • Journal article (peer-reviewed)abstract
    • BackgroundThe Global Leadership Initiative on Malnutrition (GLIM) approach to malnutrition diagnosis is based on assessment of three phenotypic (weight loss, low body mass index, and reduced skeletal muscle mass) and two etiologic (reduced food intake/assimilation and disease burden/inflammation) criteria, with diagnosis confirmed by fulfillment of any combination of at least one phenotypic and at least one etiologic criterion. The original GLIM description provided limited guidance regarding assessment of inflammation, and this has been a factor impeding further implementation of the GLIM criteria. We now seek to provide practical guidance for assessment of inflammation.MethodsA GLIM-constituted working group with 36 participants developed consensus-based guidance through a modified Delphi review. A multiround review and revision process served to develop seven guidance statements.ResultsThe final round of review was highly favorable, with 99% overall “agree” or “strongly agree” responses. The presence of acute or chronic disease, infection, or injury that is usually associated with inflammatory activity may be used to fulfill the GLIM disease burden/inflammation criterion, without the need for laboratory confirmation. However, we recommend that recognition of underlying medical conditions commonly associated with inflammation be supported by C-reactive protein (CRP) measurements when the contribution of inflammatory components is uncertain. Interpretation of CRP requires that consideration be given to the method, reference values, and units (milligrams per deciliter or milligram per liter) for the clinical laboratory that is being used.ConclusionConfirmation of inflammation should be guided by clinical judgment based on underlying diagnosis or condition, clinical signs, or CRP.
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  • Result 1-7 of 7
Type of publication
journal article (7)
Type of content
peer-reviewed (7)
Author/Editor
Cederholm, Tommy (5)
Barazzoni, Rocco (5)
Jensen, Gordon L. (5)
Shi, Han Ping (5)
Fukushima, Ryoji (5)
Rothenberg, Elisabet (3)
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Keller, Heather (3)
Hylander, Kristoffer (2)
Abrahamczyk, Stefan (2)
Jonsell, Mats (2)
Brunet, Jörg (2)
Kolb, Annette (2)
Sáfián, Szabolcs (2)
Jung, Martin (2)
Berg, Åke (2)
Entling, Martin H. (2)
Goulson, Dave (2)
Herzog, Felix (2)
Knop, Eva (2)
Tscharntke, Teja (2)
Aizen, Marcelo A. (2)
Petanidou, Theodora (2)
Stout, Jane C. (2)
Woodcock, Ben A. (2)
Poveda, Katja (2)
Batáry, Péter (2)
Edenius, Lars (2)
Baeten, Lander (2)
Slade, Eleanor M. (2)
Mikusinski, Grzegorz (2)
Felton, Annika (2)
Samnegård, Ulrika (2)
Barlow, Jos (2)
Ficetola, Gentile F. (2)
Yu, Douglas W. (2)
Schweiger, Oliver (2)
Sadler, Jonathan P. (2)
Purvis, Andy (2)
Richardson, Michael ... (2)
Banks, John E. (2)
Correia, Maria Isabe ... (2)
Gonzalez, Maria Cris ... (2)
Higashiguchi, Takash ... (2)
Bischoff, Stephan C. (2)
Boirie, Yves (2)
Carrasco, Fernando (2)
Cruz-Jentoft, Alfons ... (2)
Fuchs-Tarlovsky, Van ... (2)
Heymsfield, Steve (2)
Mourtzakis, Marina (2)
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University
Kristianstad University College (3)
Uppsala University (3)
Umeå University (2)
Stockholm University (2)
Lund University (2)
Swedish University of Agricultural Sciences (2)
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Linnaeus University (1)
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Language
English (7)
Research subject (UKÄ/SCB)
Medical and Health Sciences (5)
Natural sciences (2)
Agricultural Sciences (1)

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