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uBio  Web  Results 1 - 10 of about 87103 Broader Terms:    Acidobacteria     Actinobacteria     Alphabacteria     Anoxyphotobacteria     Aplacophora     Arachnida (arachnids)     Archaeobacteria     Archisagittoidea     Arthrobacteria     Arthropoda (Arthropod)     Ascomycetes     Bacillariophyceae     Bacteria     Bryopsida     Cephalochordata (lancelets)     Chaetognatha (chaetognaths)     Chlamydiae     Chlorobea     Chlorophyceae     Chromatibacteria     Chroobacteria     Chrysophyceae     Chrysophyta (golden-brown algae)     Ciliatea     Cladophorophyceae     Coscinodiscophyceae (centric diatoms)     Crenarchaeota     Cryptophyceae     Cubozoa (sea wasps)     Cyanophyceae     Deferribacteres     Deinococci     Deltabacteria     Dictyochophyceae     Dinophyceae     Dinophyta (dinoflagellates)     Echiura (burrow worms)     Enteropneusta (acorn worms)     Entoprocta (entoprocts)     Euglenophyceae     Eumycetozoa     Ferrobacteria     Filicopsida     Firmibacteria     Flavobacteria     Fungi (Fungus)     Gastrotricha (gastrotrichs)     Glaucophyceae     Gloeobacteria     Gnathostomulida (gnathostomulids)     Halobacteria     Halomebacteria     Haptophyceae     Heterokontophyta     Hexamitophyceae     Hormogoneae     Hyalospongiae     Ichthyosporea     Inside     Klebsormidiophyceae     Methanobacteria     Methanococci     Missing     Missing{58.     Mollicutes     Naked     Oomycota (Oomycete fungi)     Orthonectida (orthonectids)     Ostracoda (Ostracod)     Phaeophyceae (brown algae)     Pharetronida     Phoronida (horseshoe worms)     Photobacteria     Picrophilea     Placozoa     Planctomycea     Plantae (plants)     Pleurastrophyceae     Polychaeta (polychaetes)     Prasinophyceae     Priapula (priapulans)     Priapulida     Proteobacteria     Protoarchaea     Pterobranchia     Pycnogonida (sea spiders)     RNA     Raphidophyceae (raphidophytes)     Rhodophyceae     Rhombozoa (rhombozoans)     Scotobacteria     Scyphozoa (jellyfish)     Sipuncula (peanut worms)     Spirochaetes     Streptomycetes     Tardigrada (water bears)     Teichobacteria     Thermococci     Thermodesulfobacteria     Thermoplasmata     Thermoprotei     Togobacteria     Trematoda (flukes)     Ustilaginomycetes     Virus     Xanthophyceae (Xanthophytes)     Zygnematophyceae     dsDNA     dsRNA     negative     positive     ssDNA     ssRNA  More Specific:    Aaosphaeria arxii     Abacum rudis     Abarenicola claparedi     Abarenicola oceanica     Abarenicola pacifica     Abarenicola pusilla     Abarenicola vagabunda     Abbotia araneosa     Abietinella abietina (abietinella moss)     Abietinella hystricosa     Abiotrophia adiacens     Abiotrophia balaenopterae     Abiotrophia defectiva     Abiotrophia elegans     Abratopdinium cardioforme     Abratopdinium kerguelense     Acanthascus cactus     Acanthascus platei     Acanthobonellia miyajimai     Acanthobonellia pirotanensis     Acanthobonellia rollandoe     Acanthoceras madeburgensis     Acanthoceras zachariasii     Acanthocladium tanytrichoides     Acanthocollaritrema umbilicatum     Acanthodiacrodium aclinum     Acanthodiacrodium arburense     Acanthodiacrodium hexagonum     Acanthodiacrodium mamillatum     Acanthohamingia ijimai     Acanthohamingia shiplei     Acanthoica aculeata     Acanthoica biscayensis     Acanthoica cidaris     Acanthoica cucullata     Acanthopriapulus horridus     Acanthorrhynchium altisetulum     Acanthorrhynchium grosso-papillatum     Acanthorrhynchium microcarpum     Acanthorrhynchium monostictum     Acanthorrhynchium papillatum     Acanthorrhynchium subintegrum     Acanthorrhynchium substigmosum     Acarosporium sympodiale     Acaulon capense     Acaulon casasianum     Acaulon chrysacanthum     Acaulon crassinervium     Acaulon dertosense     Acaulon eremicola     Acaulon fontiquerianum     Acaulon granulosum     Acaulon integrifolium     Acaulon leucochaete     Acaulon longifolium     Acaulon muticum (acaulon moss)     Acaulon nanum     Acaulon recurvatum     Acaulon robustum     Acaulon schimperianum (Schimper's acaulon moss)     Acaulon sphaericum     Acaulon triquetrum (acaulon moss)     Acaulon uleanum     Acaulon vesiculosum     Acetabulum polyphysoides deltoideum     Acetitomaculum ruminis     Acetivibrio cellulolyticus     Acetivibrio cellulosolvens     Acetivibrio ethanolgignens     Acetivibrio multivorans     Acetoanaerobium noterae     Acetobacter aceti     Acetobacter aceti aceti     Acetobacter aceti liquefaciens     Acetobacter aceti orleanensis  ...    Latest Articles on Missing from uBioRSS Six newly sequenced chloroplast genomes from prasinophyte green algae provi... - BMC Genomics Sulfitobacter pseudonitzschiae sp. nov., isolated from toxic marine diatom ... - PubMed: nov sp species Dictyosphaerium tetrachotomum Petr Znachor - BioLib 1.  Two Atypical Cases of Tick Bites: A Fully Engorged Tick and Multiple Ticks. Kondoh A, Kawai M, Yamaoka H, Tamiya S, Tachibana H, Mabuchi T The Tokai journal of experimental and clinical medicine, 2021 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 2.  Systematic Review of Machine Learning Models for Personalised Dosing of Heparin. Falconer N, Abdel-Hafez A, Scott IA, Marxen S, Canaris S, Barras M British journal of clinical pharmacology, 2021 http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=pubmed&dopt=Abstract&list_uids=0 3.  Clinical research associates experience with missing patient reported outcomes data in cancer randomized controlled trials. Palmer MJ, Krupa T, Richardson H, Brundage MD Cancer medicine Cancer Med Clinical research associates experience with missing patient reported outcomes data in cancer randomized controlled trials. 10.1002/cam4.3826 Missing patient reported outcomes data threaten the validity of PRO-specific findings and conclusions from randomized controlled trials by introducing bias due to data missing not at random. Clinical Research Associates are a largely unexplored source for informing understanding of potential causes of missing PRO data. The purpose of this qualitative research was to describe factors that influence missing PRO data, as revealed through the lived experience of CRAs. Maximum variation sampling was used to select CRAs having a range of experiences with missing PRO data from academic or nonacademic centers in different geographic locations of Canada. Semistructured interviews were audio-recorded, transcribed verbatim, and analyzed according to descriptive phenomenology. Eleven CRAs were interviewed. Analysis revealed several factors that influence missing PRO data that were organized within themes. PROs for routine clinical care compete with PROs for RCTs. Both the paper and electronic formats have benefits and drawbacks. Missing PRO data are influenced by characteristics of the instruments and of the patients. Assessment of PROs at progression of disease is particularly difficult. Deficiencies in center research infrastructure can contribute. CRAs develop relationships with patients that may help reduce missing PRO data. It is not always possible to provide sufficient time to complete the instrument. There is a need for field guidance and a motivation among CRAs to contribute their knowledge to address issues. These results enhance understanding of factors influencing missing PRO data and have important implications for designing operational solutions to improve data quality on cancer RCTs. © 2021 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. Palmer Michael J MJ https://orcid.org/0000-0002-6037-4421 Department of Public Health Sciences, Queen's University, Kingston, ON, Canada. Cancer Care & Epidemiology, Queen's Cancer Research Institute, Kingston, ON, Canada. Krupa Terry T School of Rehabilitation Therapy, Queen's University, Kingston, ON, Canada. Richardson Harriet H Department of Public Health Sciences, Queen's University, Kingston, ON, Canada. Cancer Care & Epidemiology, Queen's Cancer Research Institute, Kingston, ON, Canada. Brundage Michael D MD Department of Public Health Sciences, Queen's University, Kingston, ON, Canada. Cancer Care & Epidemiology, Queen's Cancer Research Institute, Kingston, ON, Canada. eng Cancer Care & Epidemiology in Queen's Cancer Research Institute Health Sciences Graduate Growth Funding Terry Fox Research Institute Transdisciplinary Training Program in Cancer Research Queen's Graduate Award Journal Article 2021 04 09 United States Cancer Med 101595310 2045-7634 IM data quality patient reported outcomes qualitative research randomized controlled trial 2021 02 08 2020 10 29 2021 02 09 2021 4 9 13 5 2021 4 10 6 0 2021 4 10 6 0 aheadofprint 33835717 10.1002/cam4.3826 Int J Rheum Dis Frailty in relation to psycho-social factors in elderly patients with rheumatoid arthritis: A cross-sectional mixed qualitative-quantitative study. 10.1111/1756-185X.14110 The aim of the study was to explore in patients with rheumatoid arthritis (RA) ?55 years: (1) whether the occurrence of frailty as measured by the Groningen Frailty Indicator (GFI) increases with age (survey 1); and (2) to gain insight into which frailty characteristics (eg, loneliness) contribute to frailty (survey 2). The GFI was assessed in 3 age groups (55-64/65-74/?75-years), ensuring equal representation. GFI-subdomains that discriminated most between those classified as frail were further studied in a subset of patients using validated domain-specific questionnaires (eg Hospital Anxiety and Depression Scale [HADS]) and semi-structured interviews. Questionnaires were filled out twice: for current age and the recalled situation at age 40, to see whether psychiatric symptomatology might be misinterpreted for frailty. Of 90 patients included, frailty prevalence on the GFI across age groups was 43.3%-40.0%-43.4%, respectively. Frail patients often reported depressive (73.7% vs. 11.5%) and anxious (57.9% vs. 15.4%) feelings. There were 32/90 patients who filled out the psycho-social questionnaires twice. More frail patients had signs of an anxiety disorder on the HADS (missing data 4 patients), both at current age (5/11 frail patients vs. 0/17 non-frail patients, P = .01) and age 40 (7/11 frail patients vs. 0/0 non-frail patients, P < .01). During the interviews, especially frail patients reported gloomy feelings, although none confirmed depression or anxiety. Frailty is highly prevalent in RA patients ?55 years. As frail patients were characterized by symptoms of anxiety both at current age but (recalled) also at age 40, this finding suggests that pre-existing psychiatric symptomatology may confound assessment of frailty. © 2021 The Authors. International Journal of Rheumatic Diseases published by Asia Pacific League of Associations for Rheumatology and John Wiley & Sons Australia, Ltd. Cleutjens Fiona F Department of Psychology, CIRO, Horn, The Netherlands. van Moerbeke Anne A Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center, Maastricht, The Netherlands. Boonen Annelies A Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center, Maastricht, The Netherlands. School for Public Health and Primary Care (CAPHRI), Maastricht University, Maastricht, The Netherlands. van Onna Marloes M https://orcid.org/0000-0001-5535-3119 Department of Internal Medicine, Division of Rheumatology, Maastricht University Medical Center, Maastricht, The Netherlands. School for Public Health and Primary Care (CAPHRI), Maastricht University, Maastricht, The Netherlands. eng Journal Article 2021 04 09 England Int J Rheum Dis 101474930 1756-1841 IM elderly frailty qualitative research questionnaire rheumatoid arthritis 2021 03 02 2021 01 11 2021 03 13 2021 4 9 13 5 2021 4 10 6 0 2021 4 10 6 0 aheadofprint 33835718 10.1111/1756-185X.14110