Sandra Nolte

Dr. Sandra Nolte

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2012 in The Lancet
Verified
Journal Article
Closed access
CMChristopher J L Murray
Christopher J L Murray
TVTheo Vos
Theo Vos
RLRafael Lozano
Rafael Lozano
MNMohsen Naghavi
Mohsen Naghavi
AFAbraham D Flaxman
Abraham D Flaxman
ALAlan D Lopez
Alan D Lopez

1 December 2012 in The Lancet
Verified
Journal Article
Closed access
TVTheo Vos
Theo Vos
AFAbraham D Flaxman
Abraham D Flaxman
MNMohsen Naghavi
Mohsen Naghavi
RLRafael Lozano
Rafael Lozano
CMCatherine Michaud
Catherine Michaud
CMChristopher Jl Murray
Christopher Jl Murray

1 August 2015 in The Lancet
Verified
Journal Article
Closed access
TVTheo Vos
Theo Vos
RBRyan M Barber
Ryan M Barber
BBBrad Bell
Brad Bell
ABAmelia Bertozzi-Villa
Amelia Bertozzi-Villa
SBStan Biryukov
Stan Biryukov
CMChristopher Jl Murray
Christopher Jl Murray

1 July 2014 in Annals of the Rheumatic Diseases
Verified
Journal Article
Closed access
PDF file
MCMarita Cross
Marita Cross
ESEmma Smith
Emma Smith
DHDamian Hoy
Damian Hoy
SNSandra Nolte
Sandra Nolte
IAIlana Ackerman
Ilana Ackerman
LMLyn March
Lyn March
Objective To estimate the global burden of hip and knee osteoarthritis (OA) as part of the Global Burden of Disease 2010 study and to explore how the burden of hip and knee OA compares with other conditions. Methods Systematic reviews were conducted to source age-specific and sex-specific epidemiological data for hip and knee OA prevalence, incidence and mortality risk. The prevalence and incidence of symptomatic, radiographic and self-reported hip or knee OA were included. Three levels of severity were defined to derive disability weights (DWs) and severity distribution (proportion with mild, moderate and severe OA). The prevalence by country and region was multiplied by the severity distribution and the appropriate disability weight to calculate years of life lived with disability (YLDs). As there are no deaths directly attributed to OA, YLDs equate disability-adjusted life years (DALYs). Results Globally, of the 291 conditions, hip and knee OA was ranked as the 11th highest contributor to global disability and 38th highest in DALYs. The global age-standardised prevalence of knee OA was 3.8% (95% uncertainty interval (UI) 3.6% to 4.1%) and hip OA was 0.85% (95% UI 0.74% to 1.02%), with no discernible change from 1990 to 2010. Prevalence was higher in females than males. YLDs for hip and knee OA increased from 10.5 million in 1990 (0.42% of total DALYs) to 17.1 million in 2010 (0.69% of total DALYs). Conclusions Hip and knee OA is one of the leading causes of global disability. Methodological issues within this study make it highly likely that the real burden of OA has been underestimated. With the aging and increasing obesity of the world's population, health professions need to prepare for a large increase in the demand for health services to treat hip and knee OA.

1 December 2015 in The Lancet
Verified
Journal Article
Open access
MFMohammad H Forouzanfar
Mohammad H Forouzanfar
LALily Alexander
Lily Alexander
HAH Ross Anderson
H Ross Anderson
VBVictoria F Bachman
Victoria F Bachman
SBStan Biryukov
Stan Biryukov
CMChristopher J Murray
Christopher J Murray
The Global Burden of Disease, Injuries, and Risk Factor study 2013 (GBD 2013) is the first of a series of annual updates of the GBD. Risk factor quantification, particularly of modifiable risk factors, can help to identify emerging threats to population health and opportunities for prevention. The GBD 2013 provides a timely opportunity to update the comparative risk assessment with new data for exposure, relative risks, and evidence on the appropriate counterfactual risk distribution. Attributable deaths, years of life lost, years lived with disability, and disability-adjusted life-years (DALYs) have been estimated for 79 risks or clusters of risks using the GBD 2010 methods. Risk-outcome pairs meeting explicit evidence criteria were assessed for 188 countries for the period 1990-2013 by age and sex using three inputs: risk exposure, relative risks, and the theoretical minimum risk exposure level (TMREL). Risks are organised into a hierarchy with blocks of behavioural, environmental and occupational, and metabolic risks at the first level of the hierarchy. The next level in the hierarchy includes nine clusters of related risks and two individual risks, with more detail provided at levels 3 and 4 of the hierarchy. Compared with GBD 2010, six new risk factors have been added: handwashing practices, occupational exposure to trichloroethylene, childhood wasting, childhood stunting, unsafe sex, and low glomerular filtration rate. For most risks, data for exposure were synthesised with a Bayesian meta-regression method, DisMod-MR 2.0, or spatial-temporal Gaussian process regression. Relative risks were based on meta-regressions of published cohort and intervention studies. Attributable burden for clusters of risks and all risks combined took into account evidence on the mediation of some risks such as high body-mass index (BMI) through other risks such as high systolic blood pressure and high cholesterol. All risks combined account for 57·2% (95% uncertainty interval [UI] 55·8-58·5) of deaths and 41·6% (40·1-43·0) of DALYs. Risks quantified account for 87·9% (86·5-89·3) of cardiovascular disease DALYs, ranging to a low of 0% for neonatal disorders and neglected tropical diseases and malaria. In terms of global DALYs in 2013, six risks or clusters of risks each caused more than 5% of DALYs: dietary risks accounting for 11·3 million deaths and 241·4 million DALYs, high systolic blood pressure for 10·4 million deaths and 208·1 million DALYs, child and maternal malnutrition for 1·7 million deaths and 176·9 million DALYs, tobacco smoke for 6·1 million deaths and 143·5 million DALYs, air pollution for 5·5 million deaths and 141·5 million DALYs, and high BMI for 4·4 million deaths and 134·0 million DALYs. Risk factor patterns vary across regions and countries and with time. In sub-Saharan Africa, the leading risk factors are child and maternal malnutrition, unsafe sex, and unsafe water, sanitation, and handwashing. In women, in nearly all countries in the Americas, north Africa, and the Middle East, and in many other high-income countries, high BMI is the leading risk factor, with high systolic blood pressure as the leading risk in most of Central and Eastern Europe and south and east Asia. For men, high systolic blood pressure or tobacco use are the leading risks in nearly all high-income countries, in north Africa and the Middle East, Europe, and Asia. For men and women, unsafe sex is the leading risk in a corridor from Kenya to South Africa. Behavioural, environmental and occupational, and metabolic risks can explain half of global mortality and more than one-third of global DALYs providing many opportunities for prevention. Of the larger risks, the attributable burden of high BMI has increased in the past 23 years. In view of the prominence of behavioural risk factors, behavioural and social science research on interventions for these risks should be strengthened. Many prevention and primary care policy options are available now to act on key risks. Bill & Melinda Gates Foundation.

1 July 2015 in JAMA Oncology
Verified
Journal Article
Open access
PDF file
GCGlobal Burden of Disease Cancer Collaboration
Global Burden of Disease Cancer Collaboration
CFChristina Fitzmaurice
Christina Fitzmaurice
DDDaniel Dicker
Daniel Dicker
APAmanda Pain
Amanda Pain
HHHannah Hamavid
Hannah Hamavid
MNMohsen Naghavi
Mohsen Naghavi
Cancer caused over 8 million deaths worldwide in 2013 and has moved from the third leading cause of death in 1990 to the second leading cause behind cardiovascular disease in 2013.1-3 Substantial progress has been made in recent years with regard to prevention and treatment options for certain cancers.4-6 However, despite this progress, cancer burden is increasing owing to a growing and aging global population as well as risk factors like smoking, obesity, and dietary patterns. To appropriately allocate resources to prevention, screening, diagnosis, treatment, and palliative care and to monitor their effectiveness, it is necessary to have timely information about cancer burden for individual countries. The Global Burden of Disease (GBD) study provides a comprehensive assessment of incidence, mortality, and disability for all major diseases and injuries. Herein, we present detailed results of the GBD 2013 study1 for 28 cancer groups covering cancer incidence, mortality, and disability for 188 countries from 1990 to 2013 for both sexes and different age groups.