scholarly journals Years of life lost estimates cannot always be taken at face value: Response to “COVID-19 – exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study”

2022 ◽  
Vol 5 ◽  
pp. 137
Author(s):  
Marius Rubo ◽  
Peter Czuppon

In their recent analysis, Hanlon et al. estimated the years of life lost (YLL) in people who have died with COVID-19 by following and expanding on the WHO standard approach. We welcome this research as an attempt to draw a more accurate picture of the mortality burden of this disease which has been involved in the deaths of more than 300,000 people worldwide as of May 2020. However, we argue that obtained YLL estimates (13 years for men and 11 years for women) are interpreted in a misleading way. Even with the presented efforts to control for the role of multimorbidity in COVID-19 deaths, these estimates cannot be interpreted to imply “how long someone who died from COVID-19 might otherwise have been expected to live”. By example we analyze the underlying problem which renders such an interpretation of YLL estimates impossible, and outline potential approaches to control for the problem.

2020 ◽  
Vol 5 ◽  
pp. 137 ◽  
Author(s):  
Marius Rubo ◽  
Peter Czuppon

In their recent analysis, Hanlon et al. set out to estimate the years of life lost (YLL) in people who have died with COVID-19 by following and expanding on the WHO standard approach. We welcome this research as an attempt to draw a more accurate picture of the mortality burden of this disease which has been involved in the deaths of more than 300,000 people worldwide as of May 2020. However, we argue that obtained YLL estimates (13 years for men and 11 years for women) are interpreted in a misleading way. Even with the presented efforts to control for the role of multimorbidity in COVID-19 deaths, these estimates cannot be interpreted to imply “how long someone who died from COVID-19 might otherwise have been expected to live”. By example we analyze the underlying problem of data selection bias which, in the context of COVID-19, renders such an interpretation of YLL estimates impossible, and outline potential approaches to control for the problem.


2015 ◽  
Vol 19 (5) ◽  
pp. 1044-1061 ◽  
Author(s):  
Rebecca L. Morris ◽  
Anne Kennedy ◽  
Caroline Sanders

2019 ◽  
Vol 27 (5) ◽  
Author(s):  
Ivaylo Vassilev ◽  
Rebecca Band ◽  
Anne Kennedy ◽  
Elizabeth James ◽  
Anne Rogers

2014 ◽  
Vol 11 (2) ◽  
pp. 140-155 ◽  
Author(s):  
Rebecca Morris ◽  
Susan Kirk ◽  
Anne Kennedy ◽  
Ivaylo Vassilev ◽  
Amy Mathieson ◽  
...  

2017 ◽  
Vol 14 ◽  
pp. 35-48 ◽  
Author(s):  
Marc Bengulescu ◽  
Philippe Blanc ◽  
Alexandre Boilley ◽  
Lucien Wald

Abstract. This study investigates the characteristic time-scales of variability found in long-term time-series of daily means of estimates of surface solar irradiance (SSI). The study is performed at various levels to better understand the causes of variability in the SSI. First, the variability of the solar irradiance at the top of the atmosphere is scrutinized. Then, estimates of the SSI in cloud-free conditions as provided by the McClear model are dealt with, in order to reveal the influence of the clear atmosphere (aerosols, water vapour, etc.). Lastly, the role of clouds on variability is inferred by the analysis of in-situ measurements. A description of how the atmosphere affects SSI variability is thus obtained on a time-scale basis. The analysis is also performed with estimates of the SSI provided by the satellite-derived HelioClim-3 database and by two numerical weather re-analyses: ERA-Interim and MERRA2. It is found that HelioClim-3 estimates render an accurate picture of the variability found in ground measurements, not only globally, but also with respect to individual characteristic time-scales. On the contrary, the variability found in re-analyses correlates poorly with all scales of ground measurements variability.


2020 ◽  
Vol 45 (3) ◽  
pp. 590-604 ◽  
Author(s):  
Zeng Zhou ◽  
Luying Chen ◽  
Jianfeng Tao ◽  
Zheng Gong ◽  
Leicheng Guo ◽  
...  
Keyword(s):  

2017 ◽  
Vol 11 (4) ◽  
pp. 186-191 ◽  
Author(s):  
Sibtain Anwar ◽  
Ben O’Brien

Chronic postsurgical pain (CPSP) is the most common complication following surgery, with increasing evidence of both its prevalence and severity. While awareness of the various risk factors for this long-term condition is also increasing, effective prevention remains elusive. In this review, we describe the increasing evidence for preventive or ‘protective’ strategies. Controversies and conflicting human data are presented along with suggestions for improved future study.


2013 ◽  
Author(s):  
Francesca Menegazzo ◽  
Melissa Rosa Rizzotto ◽  
Martina Bua ◽  
Luisa Pinello ◽  
Elisabetta Tono ◽  
...  

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