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Institution

University of Gothenburg

EducationGothenburg, Sweden
About: University of Gothenburg is a education organization based out in Gothenburg, Sweden. It is known for research contribution in the topics: Population & Health care. The organization has 23855 authors who have published 65241 publications receiving 2606327 citations. The organization is also known as: Göteborg University & Gothenburg University.


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors identify attributes that increase and decrease citizens perceived value of wetlands and find that biodiversity and walking facilities are the two greatest contributors to welfare, while a fenced waterline and introduction of crayfish decrease welfare.

419 citations

Journal ArticleDOI
TL;DR: These reference values can be applied when using CSF-tau and CSf-Abeta42 in clinical practice and no correlation was found between blood-brain barrier function and CSF -tau orCSF- Abeta42.
Abstract: Tau and Abeta42 in cerebrospinal fluid from healthy adults 21-93 years of age : establishment of reference values

419 citations

Journal ArticleDOI
TL;DR: Age at onset of type 1 diabetes is an important determinant of survival, as well as all cardiovascular outcomes, with highest excess risk in women.

419 citations

Journal ArticleDOI
TL;DR: Simple pragmatic strategies to improve medication adherence include shared decision-making, regular assessment of adherence, simplification of the medication regimen, ensuring that treatment is effective and that side effects are managed, and promoting a positive therapeutic alliance and good communication between the clinician and patient.
Abstract: Nonadherence with medication occurs in all chronic medical disorders It is a particular challenge in schizophrenia due to the illness's association with social isolation, stigma, and comorbid substance misuse, plus the effect of symptom domains on adherence, including positive and negative symptoms, lack of insight, depression, and cognitive impairment Nonadherence lies on a spectrum, is often covert, and is underestimated by clinicians, but affects more than one third of patients with schizophrenia per annum It increases the risk of relapse, rehospitalization, and self-harm, increases inpatient costs, and lowers quality of life It results from multiple patient, clinician, illness, medication, and service factors, but a useful distinction is between intentional and unintentional nonadherence There is no gold standard approach to the measurement of adherence as all methods have pros and cons Interventions to improve adherence include psychoeducation and other psychosocial interventions, antipsychotic long-acting injections, electronic reminders, service-based interventions, and financial incentives These overlap, all have some evidence of effectiveness, and the intervention adopted should be tailored to the individual Psychosocial interventions that utilize combined approaches seem more effective than unidimensional approaches There is increasing interest in electronic reminders and monitoring systems to enhance adherence, eg, Short Message Service text messaging and real-time medication monitoring linked to smart pill containers or an electronic ingestible event marker Financial incentives to enhance antipsychotic adherence raise ethical issues, and their place in practice remains unclear Simple pragmatic strategies to improve medication adherence include shared decision-making, regular assessment of adherence, simplification of the medication regimen, ensuring that treatment is effective and that side effects are managed, and promoting a positive therapeutic alliance and good communication between the clinician and patient These elements remain essential for all patients, not least for the small minority where vulnerability and risk issue dictate that compulsory treatment is necessary to ensure adherence

419 citations

Journal ArticleDOI
Claire Bridel1, van Wieringen Wn1, Henrik Zetterberg2, Betty M. Tijms1, Charlotte E. Teunissen1, José C. Álvarez-Cermeño, Ulf Andreasson2, Markus Axelsson3, David Bäckström4, Ales Bartos5, Maria Bjerke6, Kaj Blennow3, Kaj Blennow2, A. Boxer7, Lena Brundin8, Joachim Burman9, Tove Christensen10, Lenka Fialová11, Lars Forsgren4, Jette L. Frederiksen12, Magnus Gisslén3, Elizabeth Gray13, Martin Gunnarsson14, Sara Hall15, Oskar Hansson15, Megan K. Herbert3, Joel Jakobsson3, Jessen-Krut J3, Shorena Janelidze15, Gudmundur Johannsson2, Gudmundur Johannsson3, Michael Jonsson3, Ludwig Kappos16, Mohsen Khademi8, Mohsen Khademi17, Michael Khalil18, Jens Kuhle16, Mikael Landén3, Leinonen19, Giancarlo Logroscino20, Lu Ch, Jan Lycke3, Nadia K. Magdalinou21, Andrea Malaspina, Niklas Mattsson15, Lieke H.H. Meeter22, Mehta23, Signe Modvig12, Tomas Olsson17, Tomas Olsson8, Ross W. Paterson21, Pérez-Santiago J24, Fredrik Piehl17, Fredrik Piehl8, Pijnenburg Yal1, Pyykkö Ot19, Ragnarsson O14, Julio C. Rojas7, Romme Christensen J12, Sandberg L4, Carole Scherling25, Jonathan M. Schott21, Finn Sellebjerg12, Isabella Laura Simone20, Tobias Skillbäck3, Stilund M10, Peter Sundström4, Anders Svenningsson8, Rosanna Tortelli20, Carla Tortorella20, Alessandro Trentini26, Troiano M20, Martin R Turner13, van Swieten Jc22, Mattias Vågberg4, Marcel M. Verbeek27, Luisa M. Villar, Pieter Jelle Visser1, Pieter Jelle Visser28, Anders Wallin3, Weiss A29, Carsten Wikkelsö3, Edward J. Wild21 
TL;DR: The cNfL increased with age in HC and a majority of neurological conditions, although the association was strongest in HC, and has potential to assist the differentiation of FTD from AD and PD from atypical parkinsonian syndromes.
Abstract: Importance: Neurofilament light protein (NfL) is elevated in cerebrospinal fluid (CSF) of a number of neurological conditions compared with healthy controls (HC) and is a candidate biomarker for neuroaxonal damage. The influence of age and sex is largely unknown, and levels across neurological disorders have not been compared systematically to date. Objectives: To assess the associations of age, sex, and diagnosis with NfL in CSF (cNfL) and to evaluate its potential in discriminating clinically similar conditions. Data Sources: PubMed was searched for studies published between January 1, 2006, and January 1, 2016, reporting cNfL levels (using the search terms neurofilament light and cerebrospinal fluid) in neurological or psychiatric conditions and/or in HC. Study Selection: Studies reporting NfL levels measured in lumbar CSF using a commercially available immunoassay, as well as age and sex. Data Extraction and Synthesis: Individual-level data were requested from study authors. Generalized linear mixed-effects models were used to estimate the fixed effects of age, sex, and diagnosis on log-transformed NfL levels, with cohort of origin modeled as a random intercept. Main Outcome and Measure: The cNfL levels adjusted for age and sex across diagnoses. Results: Data were collected for 10059 individuals (mean [SD] age, 59.7 [18.8] years; 54.1% female). Thirty-five diagnoses were identified, including inflammatory diseases of the central nervous system (n = 2795), dementias and predementia stages (n = 4284), parkinsonian disorders (n = 984), and HC (n = 1332). The cNfL was elevated compared with HC in a majority of neurological conditions studied. Highest levels were observed in cognitively impaired HIV-positive individuals (iHIV), amyotrophic lateral sclerosis, frontotemporal dementia (FTD), and Huntington disease. In 33.3% of diagnoses, including HC, multiple sclerosis, Alzheimer disease (AD), and Parkinson disease (PD), cNfL was higher in men than women. The cNfL increased with age in HC and a majority of neurological conditions, although the association was strongest in HC. The cNfL overlapped in most clinically similar diagnoses except for FTD and iHIV, which segregated from other dementias, and PD, which segregated from atypical parkinsonian syndromes. Conclusions and Relevance: These data support the use of cNfL as a biomarker of neuroaxonal damage and indicate that age-specific and sex-specific (and in some cases disease-specific) reference values may be needed. The cNfL has potential to assist the differentiation of FTD from AD and PD from atypical parkinsonian syndromes.

419 citations


Authors

Showing all 24120 results

NameH-indexPapersCitations
Peter J. Barnes1941530166618
Luigi Ferrucci1931601181199
Richard H. Friend1691182140032
Napoleone Ferrara167494140647
Timothy A. Springer167669122421
Anders Björklund16576984268
Hua Zhang1631503116769
Kaj Blennow1601845116237
Leif Groop158919136056
Tomas Hökfelt158103395979
Johan G. Eriksson1561257123325
Naveed Sattar1551326116368
Paul Elliott153773103839
Claude Bouchard1531076115307
Hakon Hakonarson152968101604
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023145
2022539
20215,065
20204,657
20194,254
20183,850