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Institution

Uppsala University

EducationUppsala, Sweden
About: Uppsala University is a education organization based out in Uppsala, Sweden. It is known for research contribution in the topics: Population & Insulin. The organization has 36485 authors who have published 107509 publications receiving 4220668 citations. The organization is also known as: Uppsala universitet & uu.se.
Topics: Population, Insulin, Thin film, Poison control, Gene


Papers
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Journal ArticleDOI
TL;DR: It is suggested that in elderly men with or without prevalent cardiovascular disease, the simultaneous addition of several biomarkers of cardiovascular and renal abnormalities substantially improves the risk stratification for death from cardiovascular causes beyond that of a model that is based only on established risk factors.
Abstract: Background The incremental usefulness of adding multiple biomarkers from different disease pathways for predicting the risk of death from cardiovascular causes has not, to our knowledge, been evaluated among the elderly. Methods We used data from the Uppsala Longitudinal Study of Adult Men (ULSAM), a community-based cohort of elderly men, to investigate whether a combination of biomarkers that reflect myocardial cell damage, left ventricular dysfunction, renal failure, and inflammation (troponin I, N-terminal pro–brain natriuretic peptide, cystatin C, and C-reactive protein, respectively) improved the risk stratification of a person beyond an assessment that was based on the established risk factors for cardiovascular disease (age, systolic blood pressure, use or nonuse of antihypertensive treatment, total cholesterol, high-density lipoprotein cholesterol, use or nonuse of lipid-lowering treatment, presence or absence of diabetes, smoking status, and body-mass index). Results During follow-up (median, 10.0 years), 315 of the 1135 participants in our study (mean age, 71 years at baseline) died; 136 deaths were the result of cardiovascular disease. In Cox proportional-hazards models adjusted for established risk factors, all of the biomarkers significantly predicted the risk of death from cardiovascular causes. The C statistic increased significantly when the four biomarkers were incorporated into a model with established risk factors, both in the whole cohort (C statistic with biomarkers vs. without biomarkers, 0.766 vs. 0.664; P<0.001) and in the group of 661 participants who did not have cardiovascular disease at baseline (0.748 vs. 0.688, P=0.03). The improvement in risk assessment remained strong when it was estimated by other statistical measures of model discrimination, calibration, and global fit. Conclusions Our data suggest that in elderly men with or without prevalent cardiovascular disease, the simultaneous addition of several biomarkers of cardiovascular and renal abnormalities substantially improves the risk stratification for death from cardiovascular causes beyond that of a model that is based only on established risk factors.

885 citations

Journal ArticleDOI
TL;DR: The Randolph Glacier Inventory (RGI) as discussed by the authors is a collection of digital outlines of glaciers, excluding the ice sheets, developed to meet the needs of the Fifth Assessment of the Intergovernmental Panel on Climate Change for estimates of past and future mass balance.
Abstract: The Randolph Glacier Inventory (RGI) is a globally complete collection of digital outlines of glaciers, excluding the ice sheets, developed to meet the needs of the Fifth Assessment of the Intergovernmental Panel on Climate Change for estimates of past and future mass balance. The RGI was created with limited resources in a short period. Priority was given to completeness of coverage, but a limited, uniform set of attributes is attached to each of the � 198 000 glaciers in its latest version, 3.2. Satellite imagery from 1999-2010 provided most of the outlines. Their total extent is estimated as 726 800 � 34 000 km 2 . The uncertainty, about � 5%, is derived from careful single-glacier and basin-scale uncertainty estimates and comparisons with inventories that were not sources for the RGI. The main contributors to uncertainty are probably misinterpretation of seasonal snow cover and debris cover. These errors appear not to be normally distributed, and quantifying them reliably is an unsolved problem. Combined with digital elevation models, the RGI glacier outlines yield hypsometries that can be com- bined with atmospheric data or model outputs for analysis of the impacts of climatic change on glaciers. The RGI has already proved its value in the generation of significantly improved aggregate estimates of glacier mass changes and total volume, and thus actual and potential contributions to sea-level rise.

884 citations

Journal ArticleDOI
TL;DR: Bismuth perovskites have very promising properties for further development in solar cells and a power conversion efficiency of over 1% is obtained.
Abstract: Low-toxic bismuth-based perovskites are prepared for the possible replacement of lead perovskite in solar cells. The perovskites have a hexagonal crystalline phase and light absorption in the visible region. A power conversion efficiency of over 1% is obtained for a solar cell with Cs3 Bi2 I9 perovskite, and it is concluded that bismuth perovskites have very promising properties for further development in solar cells.

884 citations

Journal ArticleDOI
TL;DR: A system of nosology was introduced that grouped the FTLD subtypes into broad categories, based on the molecular defect that is most characteristic, according to current evidence, and provided a concise and consistent terminology that has now been widely adopted in the literature.
Abstract: Nomenclature and nosology for neuropathologic subtypes of frontotemporal lobar degeneration : an update

878 citations

Journal ArticleDOI
TL;DR: Spectrum of Clinicopathologic Manifestations of Arrhythmogenic Right Ventricular Cardiomyopathy/Dysplasia: A Multicenter study as mentioned in this paper was conducted to investigate the effect of arrhythmogenic right ventricular arrhythmia.

877 citations


Authors

Showing all 36854 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
Lewis C. Cantley196748169037
Darien Wood1602174136596
Kaj Blennow1601845116237
Christopher J. O'Donnell159869126278
Tomas Hökfelt158103395979
Peter G. Schultz15689389716
Frederik Barkhof1541449104982
Deepak L. Bhatt1491973114652
Svante Pääbo14740784489
Jan-Åke Gustafsson147105898804
Hans-Olov Adami14590883473
Hermann Kolanoski145127996152
Kjell Fuxe142147989846
Jan Conrad14182671445
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023240
2022643
20216,079
20205,811
20195,393
20185,067