SwePub
Sök i SwePub databas

  Utökad sökning

Träfflista för sökning "WFRF:(Giles G) "

Sökning: WFRF:(Giles G)

  • Resultat 1-10 av 506
Sortera/gruppera träfflistan
   
NumreringReferensOmslagsbildHitta
1.
  •  
2.
  •  
3.
  •  
4.
  • Thomas, HS, et al. (författare)
  • 2019
  • swepub:Mat__t
  •  
5.
  •  
6.
  • Niemi, MEK, et al. (författare)
  • 2021
  • swepub:Mat__t
  •  
7.
  •  
8.
  • Kaptoge, S., et al. (författare)
  • World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions
  • 2019
  • Ingår i: Lancet Global Health. - : Elsevier BV. - 2214-109X. ; 7:10, s. E1332-E1345
  • Tidskriftsartikel (refereegranskat)abstract
    • Background To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. Methods In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40-80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance. Findings Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0.685 (95% CI 0 . 629-0 741) to 0.833 (0 . 783-0- 882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40-64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt. Interpretation We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide. Copyright (C) 2019 The Author(s). Published by Elsevier Ltd.
  •  
9.
  • Feroci, M., et al. (författare)
  • The large observatory for x-ray timing
  • 2014
  • Ingår i: Proceedings of SPIE - The International Society for Optical Engineering. - : SPIE. - 9780819496126
  • Konferensbidrag (refereegranskat)abstract
    • The Large Observatory For x-ray Timing (LOFT) was studied within ESA M3 Cosmic Vision framework and participated in the final downselection for a launch slot in 2022-2024. Thanks to the unprecedented combination of effective area and spectral resolution of its main instrument, LOFT will study the behaviour of matter under extreme conditions, such as the strong gravitational field in the innermost regions of accretion flows close to black holes and neutron stars, and the supranuclear densities in the interior of neutron stars. The science payload is based on a Large Area Detector (LAD, 10 m2 effective area, 2-30 keV, 240 eV spectral resolution, 1° collimated field of view) and a Wide Field Monitor (WFM, 2-50 keV, 4 steradian field of view, 1 arcmin source location accuracy, 300 eV spectral resolution). The WFM is equipped with an on-board system for bright events (e.g. GRB) localization. The trigger time and position of these events are broadcast to the ground within 30 s from discovery. In this paper we present the status of the mission at the end of its Phase A study.
  •  
10.
  • Feroci, M., et al. (författare)
  • LOFT - The large observatory for x-ray timing
  • 2012
  • Ingår i: Proceedings of SPIE - The International Society for Optical Engineering. - : SPIE - International Society for Optical Engineering. - 9780819491442 ; , s. 84432D-
  • Konferensbidrag (refereegranskat)abstract
    • The LOFT mission concept is one of four candidates selected by ESA for the M3 launch opportunity as Medium Size missions of the Cosmic Vision programme. The launch window is currently planned for between 2022 and 2024. LOFT is designed to exploit the diagnostics of rapid X-ray flux and spectral variability that directly probe the motion of matter down to distances very close to black holes and neutron stars, as well as the physical state of ultradense matter. These primary science goals will be addressed by a payload composed of a Large Area Detector (LAD) and a Wide Field Monitor (WFM). The LAD is a collimated (<1 degree field of view) experiment operating in the energy range 2-50 keV, with a 10 m2 peak effective area and an energy resolution of 260 eV at 6 keV. The WFM will operate in the same energy range as the LAD, enabling simultaneous monitoring of a few-steradian wide field of view, with an angular resolution of <5 arcmin. The LAD and WFM experiments will allow us to investigate variability from submillisecond QPO's to yearlong transient outbursts. In this paper we report the current status of the project.
  •  
Skapa referenser, mejla, bekava och länka
  • Resultat 1-10 av 506
Typ av publikation
tidskriftsartikel (473)
forskningsöversikt (10)
bokkapitel (10)
konferensbidrag (9)
bok (1)
annan publikation (1)
visa fler...
visa färre...
Typ av innehåll
refereegranskat (470)
övrigt vetenskapligt/konstnärligt (34)
Författare/redaktör
Giles, Graham G (187)
Giles, GG (177)
Easton, DF (137)
Southey, MC (131)
Chang-Claude, J (128)
Hall, P (123)
visa fler...
Fasching, PA (121)
Czene, K (120)
Dunning, AM (119)
Brenner, H (116)
Milne, RL (116)
Hopper, JL (116)
Couch, FJ (111)
Wolk, Alicja (110)
Beckmann, MW (107)
Cox, A (107)
Garcia-Closas, M (106)
Haiman, CA (105)
Pharoah, PDP (104)
Bojesen, SE (103)
Nevanlinna, H (103)
Dork, T (102)
Chenevix-Trench, G (101)
Mannermaa, A (99)
Lambrechts, D (97)
Dennis, J (96)
Bolla, MK (96)
Andrulis, IL (96)
Brauch, H (95)
Schmidt, MK (95)
Hamann, U (93)
Wang, Q. (91)
Lubinski, J (90)
Lindblom, A (89)
Burwinkel, B (89)
Anton-Culver, H (88)
Margolin, S (88)
Benitez, J. (87)
Jakubowska, A (87)
Zheng, W. (86)
Le Marchand, L (86)
Devilee, P (84)
Milne, Roger L. (83)
Flyger, H (83)
Truong, T (82)
Peto, J (81)
Guenel, P (80)
Chanock, SJ (80)
Arndt, V (78)
Kosma, VM (78)
visa färre...
Lärosäte
Karolinska Institutet (315)
Uppsala universitet (186)
Umeå universitet (106)
Lunds universitet (61)
Kungliga Tekniska Högskolan (27)
Stockholms universitet (12)
visa fler...
Blekinge Tekniska Högskola (9)
Göteborgs universitet (7)
Chalmers tekniska högskola (7)
Linköpings universitet (3)
Jönköping University (1)
Handelshögskolan i Stockholm (1)
Linnéuniversitetet (1)
Högskolan Dalarna (1)
Sveriges Lantbruksuniversitet (1)
visa färre...
Språk
Engelska (506)
Forskningsämne (UKÄ/SCB)
Medicin och hälsovetenskap (250)
Naturvetenskap (62)
Lantbruksvetenskap (6)
Teknik (4)
Samhällsvetenskap (4)
Humaniora (1)

År

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Stäng

Kopiera och spara länken för att återkomma till aktuell vy