In recent years, it has become commonplace among the Global Burden of Disease (GBD) study authors to regard the (DALY) primarily as a health metric. During the first phase of the GBD (1990-1996), it was widely acknowledged that the DALY had built-in assumptions. However, from the publication of the 2010 GBD and onwards, two central evaluative practices- and -have been omitted from the DALY model. After this substantial revision, the emerging view now appears to be that the DALY is primarily a descriptive measure. Our aim in this article is to argue that the DALY, despite changes, remains largely evaluative. Our analysis focuses on the understanding of the DALY by comparing the DALY as a measure of disease burden in the two most significant phases of GBD publications, from their beginning (1990-1996) to the most recent releases (2010-2017). We identify numerous assumptions underlying the DALY and group them as descriptive or evaluative. We conclude that while the DALY model arguably has become more descriptive, it remains, by necessity, largely evaluative.
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http://dx.doi.org/10.1093/phe/phaa030 | DOI Listing |
Intensive Care Med Exp
January 2025
Department of Life Sciences, Aberystwyth University, Ceredigion, UK.
Purpose: The landiolol and organ failure in patients with septic shock (STRESS-L study) included a pre-planned sub-study to assess the effect of landiolol treatment on inflammatory and metabolomic markers.
Methods: Samples collected from 91 patients randomised to STRESS-L were profiled for immune and metabolomic markers. A panel of pro- and anti-inflammatory cytokines were measured through commercially acquired multiplex Luminex assays and statistically analysed by individual and cluster-level analysis (patient).
Front Med (Lausanne)
January 2025
Department of Hematology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Background: Pulmonary arterial hypertension (PAH) poses a significant health challenge globally, with China experiencing a notable increase in its burden. Understanding the trends and factors contributing to PAH is crucial for developing effective public health strategies.
Methods: This study utilized data from the Global Burden of Disease (GBD) 2021 database to estimate the burden of PAH in China and worldwide from 1990 to 2021.
Front Public Health
January 2025
Sanitation Teaching and Research Section, Department of Health Service, Naval Medical University, Shanghai, China.
Background: Norovirus remains a significant viral cause of waterborne and foodborne gastroenteritis outbreaks and epidemics worldwide. The burden of norovirus extends across different income settings.
Methods: Leveraging secondary data from the 2021 Global Burden of Diseases Study, our analysis spanned the period from 1990 to 2021 to assess the burden of norovirus-associated diseases (NADs).
ACS Earth Space Chem
January 2025
School of Chemistry, Norwich Research Park, University of East Anglia, Norwich NR4 7TJ, U.K.
2-Cyanoindene is one of the few specific aromatic or polycyclic aromatic hydrocarbon (PAH) molecules positively identified in Taurus molecular cloud-1 (TMC-1), a cold, dense molecular cloud that is considered the nearest star-forming region to Earth. We report cryogenic mid-infrared (550-3200 cm) and visible (16,500-20,000 cm, over the ← electronic transition) spectra of 2-cyanoindene radical cations (2CNI), measured using messenger tagging (He and Ne) photodissociation spectroscopy. The infrared spectra reveal the prominence of anharmonic couplings, particularly over the fingerprint region.
View Article and Find Full Text PDFFront Nutr
January 2025
Department of Nuclear Medicine, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China.
Background: This study aimed to comprehensively assess the global, regional, and national burden of esophageal cancer (EC) attributable to inadequate vegetable and fruit intake from 1990 to 2019 and explore the potential impact of existing dietary intervention programs on EC prevention.
Methods: Using the Global Burden of Disease Study 2019 (GBD 2019) database, we conducted descriptive analyses stratified by age, sex, Socio-demographic Index (SDI), and regional levels. Temporal trends were assessed using linear regression models, and cluster analysis was employed to explore burden patterns across different GBD regions.
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