Pub Date : 2024-11-07DOI: 10.1016/s0140-6736(24)02386-9
Jeremy R Wang
No Abstract
无摘要
{"title":"Mpox surveillance: the need for enhanced testing and genomic epidemiology","authors":"Jeremy R Wang","doi":"10.1016/s0140-6736(24)02386-9","DOIUrl":"https://doi.org/10.1016/s0140-6736(24)02386-9","url":null,"abstract":"No Abstract","PeriodicalId":22898,"journal":{"name":"The Lancet","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596952","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/s0140-6736(24)02466-8
No Abstract
无摘要
{"title":"Promises and pitfalls: UK health under Labour","authors":"","doi":"10.1016/s0140-6736(24)02466-8","DOIUrl":"https://doi.org/10.1016/s0140-6736(24)02466-8","url":null,"abstract":"No Abstract","PeriodicalId":22898,"journal":{"name":"The Lancet","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/s0140-6736(24)02426-7
Hickey M, Hunter MS, Crandall CJ, et al. Reflections on The Lancet menopause Series. Lancet 2024; 404: 1307–08—In this Correspondence, the order of the author list and Hadine Joffe's name were incorrect. These corrections have been made to the online version as of Nov 7, 2024.
Hickey M, Hunter MS, Crandall CJ, et al.Lancet 2024; 404: 1307-08-在这篇通讯中，作者列表的顺序和Hadine Joffe的名字有误。这些更正已在 2024 年 11 月 7 日的在线版本中作出。
{"title":"Department of Error","authors":"","doi":"10.1016/s0140-6736(24)02426-7","DOIUrl":"https://doi.org/10.1016/s0140-6736(24)02426-7","url":null,"abstract":"<em>Hickey M, Hunter MS, Crandall CJ, et al. Reflections on</em> The Lancet <em>menopause Series</em>. Lancet <em>2024; <strong>404:</strong> 1307–08</em>—In this Correspondence, the order of the author list and Hadine Joffe's name were incorrect. These corrections have been made to the online version as of Nov 7, 2024.","PeriodicalId":22898,"journal":{"name":"The Lancet","volume":"95 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/s0140-6736(24)01168-1
Dion Groothof, Reinold O B Gans, Stephan J L Bakker
No Abstract
无摘要
{"title":"Sparsentan and kidney protection: improved medullary oxygenation?","authors":"Dion Groothof, Reinold O B Gans, Stephan J L Bakker","doi":"10.1016/s0140-6736(24)01168-1","DOIUrl":"https://doi.org/10.1016/s0140-6736(24)01168-1","url":null,"abstract":"No Abstract","PeriodicalId":22898,"journal":{"name":"The Lancet","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142596911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/s0140-6736(24)01757-4
Laura Dwyer-Lindgren, Parkes Kendrick, Mathew M Baumann, Zhuochen Li, Chris Schmidt, Dillon O Sylte, Farah Daoud, Wichada La Motte-Kerr, Robert W Aldridge, Catherine Bisignano, Simon I Hay, Ali H Mokdad, Christopher J L Murray
<h3>Background</h3>The Human Development Index (HDI)—a composite metric encompassing a population's life expectancy, education, and income—is used widely for assessing and comparing human development and wellbeing at the country level, but does not account for within-country inequality. In this study of the USA, we aimed to adapt the HDI framework to measure the HDI at an individual level to examine disparities in the distribution of wellbeing by race and ethnicity, sex, age, and geographical location.<h3>Methods</h3>We used individual-level data on adults aged 25 years and older from the 2008–21 American Community Survey (ACS) Public Use Microdata Sample. We extracted information on race and ethnicity, age, sex, location (Public Use Microdata Areas), educational attainment, and household income and size. We merged these data with estimated life tables by race and ethnicity, sex, age, location (county), and year, generated using Bayesian small-area estimation models applied to death certificate data from the National Vital Statistics System. For each individual in the ACS, we used these combined data to estimate years of education, household consumption, and expected lifespan; converted each of these three features into an index using a percentile score; and calculated the HDI as the geometric mean of these three indices. Finally, we grouped individuals into yearly HDI deciles.<h3>Findings</h3>Years of education, household consumption, and expected lifespan—and thus the HDI—varied considerably among adults in the USA during the 2008–21 period. For most race and ethnicity and sex groups, the mean HDI increased gradually from 2008 to 2019, then declined in 2020 due to declines in expected lifespan, although there were systematic differences in the distribution of the HDI by race and ethnicity and sex. In the lowest HDI decile, there was over-representation (ie, >10% of the total population of a given race and ethnicity and sex group) of American Indian and Alaska Native (AIAN) males (50% [SE 0·2] in decile, mean annual population in decile 0·37 million [SE 0·002]), Black males (40% [<0·1], 4·67 million [0·006]), AIAN females (23% [0·1], 0·19 million [0·001]), Latino males (21% [<0·1], 3·27 million [0·006]), Black females (14% [<0·1], 1·86 million [0·004]), and Latina females (13% [<0·1], 2·07 million [0·006]). Given differences in total population size, however, White males were the largest population group in the lowest decile (27% [<0·1] of the lowest decile, 5·87 million [0·012]), followed by Black males (22% [<0·1]) and Latino males (15% [<0·1]). There were notable differences in these patterns by age group: for example, for the 25–44 years age group, the lowest HDI decile had even greater over-representation of AIAN males (66% [0·2] in decile, 0·22 million [0·001]) and Black males (46% [<0·1], 2·52 million [0·005]) than the 85 years and older age group (22% [1·1], <0·01 million [<0·001]; and 20% [0·3], 0·03 mil
{"title":"Disparities in wellbeing in the USA by race and ethnicity, age, sex, and location, 2008–21: an analysis using the Human Development Index","authors":"Laura Dwyer-Lindgren, Parkes Kendrick, Mathew M Baumann, Zhuochen Li, Chris Schmidt, Dillon O Sylte, Farah Daoud, Wichada La Motte-Kerr, Robert W Aldridge, Catherine Bisignano, Simon I Hay, Ali H Mokdad, Christopher J L Murray","doi":"10.1016/s0140-6736(24)01757-4","DOIUrl":"https://doi.org/10.1016/s0140-6736(24)01757-4","url":null,"abstract":"<h3>Background</h3>The Human Development Index (HDI)—a composite metric encompassing a population's life expectancy, education, and income—is used widely for assessing and comparing human development and wellbeing at the country level, but does not account for within-country inequality. In this study of the USA, we aimed to adapt the HDI framework to measure the HDI at an individual level to examine disparities in the distribution of wellbeing by race and ethnicity, sex, age, and geographical location.<h3>Methods</h3>We used individual-level data on adults aged 25 years and older from the 2008–21 American Community Survey (ACS) Public Use Microdata Sample. We extracted information on race and ethnicity, age, sex, location (Public Use Microdata Areas), educational attainment, and household income and size. We merged these data with estimated life tables by race and ethnicity, sex, age, location (county), and year, generated using Bayesian small-area estimation models applied to death certificate data from the National Vital Statistics System. For each individual in the ACS, we used these combined data to estimate years of education, household consumption, and expected lifespan; converted each of these three features into an index using a percentile score; and calculated the HDI as the geometric mean of these three indices. Finally, we grouped individuals into yearly HDI deciles.<h3>Findings</h3>Years of education, household consumption, and expected lifespan—and thus the HDI—varied considerably among adults in the USA during the 2008–21 period. For most race and ethnicity and sex groups, the mean HDI increased gradually from 2008 to 2019, then declined in 2020 due to declines in expected lifespan, although there were systematic differences in the distribution of the HDI by race and ethnicity and sex. In the lowest HDI decile, there was over-representation (ie, >10% of the total population of a given race and ethnicity and sex group) of American Indian and Alaska Native (AIAN) males (50% [SE 0·2] in decile, mean annual population in decile 0·37 million [SE 0·002]), Black males (40% [<0·1], 4·67 million [0·006]), AIAN females (23% [0·1], 0·19 million [0·001]), Latino males (21% [<0·1], 3·27 million [0·006]), Black females (14% [<0·1], 1·86 million [0·004]), and Latina females (13% [<0·1], 2·07 million [0·006]). Given differences in total population size, however, White males were the largest population group in the lowest decile (27% [<0·1] of the lowest decile, 5·87 million [0·012]), followed by Black males (22% [<0·1]) and Latino males (15% [<0·1]). There were notable differences in these patterns by age group: for example, for the 25–44 years age group, the lowest HDI decile had even greater over-representation of AIAN males (66% [0·2] in decile, 0·22 million [0·001]) and Black males (46% [<0·1], 2·52 million [0·005]) than the 85 years and older age group (22% [1·1], <0·01 million [<0·001]; and 20% [0·3], 0·03 mil","PeriodicalId":22898,"journal":{"name":"The Lancet","volume":"10 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597204","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-07DOI: 10.1016/s0140-6736(24)01768-9
Christopher W Ryan, Catherine M Tangen, Primo N Lara
No Abstract
无摘要
{"title":"Adjuvant everolimus after renal cell carcinoma nephrectomy – Authors' reply","authors":"Christopher W Ryan, Catherine M Tangen, Primo N Lara","doi":"10.1016/s0140-6736(24)01768-9","DOIUrl":"https://doi.org/10.1016/s0140-6736(24)01768-9","url":null,"abstract":"No Abstract","PeriodicalId":22898,"journal":{"name":"The Lancet","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142597217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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