{"title":"Food, health, and climate change: can epidemiologists contribute further?","authors":"Walter Willett, Marco Springmann","doi":"10.1093/ije/dyae109","DOIUrl":"https://doi.org/10.1093/ije/dyae109","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141982269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ryan M Andrews, Christine W Bang, Vanessa Didelez, Janine Witte, Ronja Foraita
Motivation: The Peter Clark (PC) algorithm is a popular causal discovery method to learn causal graphs in a data-driven way. Until recently, existing PC algorithm implementations in R had important limitations regarding missing values, temporal structure or mixed measurement scales (categorical/continuous), which are all common features of cohort data. The new R packages presented here, micd and tpc, fill these gaps.
Implementation: micd and tpc packages are R packages.
General features: The micd package provides add-on functionality for dealing with missing values to the existing pcalg R package, including methods for multiple imputations relying on the Missing At Random assumption. Also, micd allows for mixed measurement scales assuming conditional Gaussianity. The tpc package efficiently exploits temporal information in a way that results in a more informative output that is less prone to statistical errors.
Availability: The tpc and micd packages are freely available on the Comprehensive R Archive Network (CRAN). Their source code is also available on GitHub (https://github.com/bips-hb/micd; https://github.com/bips-hb/tpc).
动机彼得-克拉克(PC)算法是一种流行的因果发现方法,它以数据驱动的方式学习因果图。直到最近,R语言中现有的PC算法在缺失值、时间结构或混合测量尺度(分类/连续)方面都有很大的局限性,而这些都是队列数据的常见特征。本文介绍的新 R 软件包 micd 和 tpc 填补了这些空白。实现:micd 和 tpc 软件包均为 R 软件包:一般特点:micd 软件包为现有的 pcalg R 软件包提供了处理缺失值的附加功能,包括根据随机缺失假设进行多重估算的方法。此外,micd 还允许假设条件高斯性的混合测量尺度。tpc 软件包有效地利用了时间信息,使输出结果信息量更大,不易出现统计错误:tpc和micd软件包可在R档案综合网络(CRAN)上免费获取。它们的源代码也可在 GitHub 上获取(https://github.com/bips-hb/micd; https://github.com/bips-hb/tpc)。
{"title":"Software application profile: tpc and micd-R packages for causal discovery with incomplete cohort data.","authors":"Ryan M Andrews, Christine W Bang, Vanessa Didelez, Janine Witte, Ronja Foraita","doi":"10.1093/ije/dyae113","DOIUrl":"10.1093/ije/dyae113","url":null,"abstract":"<p><strong>Motivation: </strong>The Peter Clark (PC) algorithm is a popular causal discovery method to learn causal graphs in a data-driven way. Until recently, existing PC algorithm implementations in R had important limitations regarding missing values, temporal structure or mixed measurement scales (categorical/continuous), which are all common features of cohort data. The new R packages presented here, micd and tpc, fill these gaps.</p><p><strong>Implementation: </strong>micd and tpc packages are R packages.</p><p><strong>General features: </strong>The micd package provides add-on functionality for dealing with missing values to the existing pcalg R package, including methods for multiple imputations relying on the Missing At Random assumption. Also, micd allows for mixed measurement scales assuming conditional Gaussianity. The tpc package efficiently exploits temporal information in a way that results in a more informative output that is less prone to statistical errors.</p><p><strong>Availability: </strong>The tpc and micd packages are freely available on the Comprehensive R Archive Network (CRAN). Their source code is also available on GitHub (https://github.com/bips-hb/micd; https://github.com/bips-hb/tpc).</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11346914/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142072823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sirwan K L Darweesh, Roel C H Vermeulen, Bastiaan R Bloem
{"title":"Paraquat and Parkinson's disease: has the burden of proof shifted?","authors":"Sirwan K L Darweesh, Roel C H Vermeulen, Bastiaan R Bloem","doi":"10.1093/ije/dyae126","DOIUrl":"https://doi.org/10.1093/ije/dyae126","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142336406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hmwe H Kyu, Jorge R Ledesma, Christopher J L Murray
{"title":"The Global Burden of Disease Study tuberculosis estimates from the Institute for Health Metrics and Evaluation.","authors":"Hmwe H Kyu, Jorge R Ledesma, Christopher J L Murray","doi":"10.1093/ije/dyae122","DOIUrl":"https://doi.org/10.1093/ije/dyae122","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11427672/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142336408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marco Thimm-Kaiser, Adam M Whalen, Michelle Lui, Alexander Furuya, Siddhesh Zadey
{"title":"Associations of life course obesity with endometrial cancer: could alternative categorization of BMI change improve inference about cumulative risks?","authors":"Marco Thimm-Kaiser, Adam M Whalen, Michelle Lui, Alexander Furuya, Siddhesh Zadey","doi":"10.1093/ije/dyae120","DOIUrl":"https://doi.org/10.1093/ije/dyae120","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142286429","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicola Chiwandire, Sibongile Walaza, Anne von Gottberg, Nicole Wolter, Mignon Du Plessis, Fahima Moosa, Michelle J Groome, Jeremy Nel, Ebrahim Variava, Halima Dawood, Mvuyo Makhasi, Leora R Feldstein, Perrine Marcenac, Kathryn E Lafond, Aaron M Samuels, Cheryl Cohen
Background: COVID-19 vaccine effectiveness (VE) studies leveraging systematic surveillance in sub-Saharan Africa are limited. We assessed the effectiveness of two vaccines (Pfizer BNT162b2 and Johnson & Johnson Ad26.COV2.S) against SARS-CoV-2-associated hospitalization in South African adults aged ≥18 years.
Methods: We conducted a test-negative case-control study using pneumonia surveillance data in South Africa. Inpatients with physician-diagnosed lower respiratory tract infection or suspected COVID-19, testing SARS-CoV-2 positive or negative from June 2021-March 2022, were cases or controls, respectively. Fully vaccinated individuals received one Ad26.COV2.S dose or two BNT162b2 doses ≥14-days before enrollment. VE was estimated using multivariable logistic regression for Delta- and Omicron BA.1/BA.2-predominant periods, stratified by age and HIV status.
Results: The study included 925 cases and 1890 controls; 38 (4%) cases and 186 (10%) controls were fully vaccinated with BNT162b2, and 30 (3%) cases and 94 (5%) controls with Ad26.COV2.S. The vaccine effectiveness of BNT162b2 against SARS-CoV-2-associated hospitalization over Delta and Omicron BA.1/BA.2 periods was 91% (95% CI: 52%, 98%) and 33% (-16%, 86%), respectively. The vaccine effectiveness of Ad26.COV2.S against hospitalization over Delta and Omicron BA.1/BA.2 periods was 72% (-36% ,94%), and -19% (-130%, 39%), respectively. The vaccine effectiveness of BNT162b2 against hospitalization over the Delta period was 94% (50%, 99%) and 89% (27%, 98%) among adults aged ≥60 years and HIV-uninfected, respectively.
Conclusions: The BNT162b2 vaccine was effective against SARS-CoV-2-associated hospitalization during the Delta period for adults aged ≥18 years, ≥60 years and those HIV-uninfected. VE for Ad26.COV2.S was inconclusive, potentially due to limited sample size or residual confounding. These findings highlight the utility of sentinel surveillance for estimating VE.
{"title":"Estimation of vaccine effectiveness against SARS-CoV-2-associated hospitalization using sentinel surveillance in South Africa.","authors":"Nicola Chiwandire, Sibongile Walaza, Anne von Gottberg, Nicole Wolter, Mignon Du Plessis, Fahima Moosa, Michelle J Groome, Jeremy Nel, Ebrahim Variava, Halima Dawood, Mvuyo Makhasi, Leora R Feldstein, Perrine Marcenac, Kathryn E Lafond, Aaron M Samuels, Cheryl Cohen","doi":"10.1093/ije/dyae116","DOIUrl":"https://doi.org/10.1093/ije/dyae116","url":null,"abstract":"<p><strong>Background: </strong>COVID-19 vaccine effectiveness (VE) studies leveraging systematic surveillance in sub-Saharan Africa are limited. We assessed the effectiveness of two vaccines (Pfizer BNT162b2 and Johnson & Johnson Ad26.COV2.S) against SARS-CoV-2-associated hospitalization in South African adults aged ≥18 years.</p><p><strong>Methods: </strong>We conducted a test-negative case-control study using pneumonia surveillance data in South Africa. Inpatients with physician-diagnosed lower respiratory tract infection or suspected COVID-19, testing SARS-CoV-2 positive or negative from June 2021-March 2022, were cases or controls, respectively. Fully vaccinated individuals received one Ad26.COV2.S dose or two BNT162b2 doses ≥14-days before enrollment. VE was estimated using multivariable logistic regression for Delta- and Omicron BA.1/BA.2-predominant periods, stratified by age and HIV status.</p><p><strong>Results: </strong>The study included 925 cases and 1890 controls; 38 (4%) cases and 186 (10%) controls were fully vaccinated with BNT162b2, and 30 (3%) cases and 94 (5%) controls with Ad26.COV2.S. The vaccine effectiveness of BNT162b2 against SARS-CoV-2-associated hospitalization over Delta and Omicron BA.1/BA.2 periods was 91% (95% CI: 52%, 98%) and 33% (-16%, 86%), respectively. The vaccine effectiveness of Ad26.COV2.S against hospitalization over Delta and Omicron BA.1/BA.2 periods was 72% (-36% ,94%), and -19% (-130%, 39%), respectively. The vaccine effectiveness of BNT162b2 against hospitalization over the Delta period was 94% (50%, 99%) and 89% (27%, 98%) among adults aged ≥60 years and HIV-uninfected, respectively.</p><p><strong>Conclusions: </strong>The BNT162b2 vaccine was effective against SARS-CoV-2-associated hospitalization during the Delta period for adults aged ≥18 years, ≥60 years and those HIV-uninfected. VE for Ad26.COV2.S was inconclusive, potentially due to limited sample size or residual confounding. These findings highlight the utility of sentinel surveillance for estimating VE.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11415825/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142286430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lauren E O'Connor, Kirsten A Herrick, Keren Papier
{"title":"Handle with care: challenges associated with ultra-processed foods research.","authors":"Lauren E O'Connor, Kirsten A Herrick, Keren Papier","doi":"10.1093/ije/dyae106","DOIUrl":"10.1093/ije/dyae106","url":null,"abstract":"","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11349190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142080272","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chih-Lin Kuo, Jing-Rong Jhuang, Shih-Yung Su, Chun-Ju Chiang, Ya-Wen Yang, Li-Ju Lin, Pei-Chun Hsieh, Tsui-Hsia Hsu, Wen-Chung Lee
Background: Colorectal cancer remains a major global public health challenge. Its incidence is shaped by a complex interplay of screening programmes and age, period and cohort factors.
Methods: We introduce a novel Age-Period-Cohort-Screening (APCS) model to analyse trends in colorectal cancer incidence in Taiwan from 2000 to 2019.
Results: In 2010, the incidence of colorectal cancer in Taiwan increased by 19.2% (95% CI: 13.5%, 25.3%) for men and 15.6% (95% CI: 9.2%, 22.4%) for women. This was followed by annual declines of 3.4% (95% CI: 2.8%, 4.1%) and 3.1% (95% CI: 2.4%, 3.9%), respectively. By 2015 for men and 2014 for women, the age-standardized incidence had fallen below the levels projected in a no-screening scenario. By 2019, the incidence had further declined by 12.4% (95% CI: 11.8%, 13.1%) for men and 11.6% (95% CI: 10.7%, 12.6%) for women, compared with the no-screening scenario. Cohort effects have shown a persistent rise from 1920 to 1980: incidence increased 5.8-fold for men and 3.1-fold for women. The trend began to plateau after 1980, with a noticeable decline in women.
Conclusion: Through its screening programme, Taiwan has successfully reduced colorectal cancer incidence by 10% as of 2019. Furthermore, the incidence due to cohort effects has plateaued and even begun to decline. However, continued monitoring remains crucial. The advanced APCS model could serve as a robust analytical tool for other researchers and policy makers evaluating the impacts of cancer screening programmes on incidence trends.
{"title":"Interacting trends of colorectal cancer incidence: the combined effects of screening and birth cohort.","authors":"Chih-Lin Kuo, Jing-Rong Jhuang, Shih-Yung Su, Chun-Ju Chiang, Ya-Wen Yang, Li-Ju Lin, Pei-Chun Hsieh, Tsui-Hsia Hsu, Wen-Chung Lee","doi":"10.1093/ije/dyae123","DOIUrl":"10.1093/ije/dyae123","url":null,"abstract":"<p><strong>Background: </strong>Colorectal cancer remains a major global public health challenge. Its incidence is shaped by a complex interplay of screening programmes and age, period and cohort factors.</p><p><strong>Methods: </strong>We introduce a novel Age-Period-Cohort-Screening (APCS) model to analyse trends in colorectal cancer incidence in Taiwan from 2000 to 2019.</p><p><strong>Results: </strong>In 2010, the incidence of colorectal cancer in Taiwan increased by 19.2% (95% CI: 13.5%, 25.3%) for men and 15.6% (95% CI: 9.2%, 22.4%) for women. This was followed by annual declines of 3.4% (95% CI: 2.8%, 4.1%) and 3.1% (95% CI: 2.4%, 3.9%), respectively. By 2015 for men and 2014 for women, the age-standardized incidence had fallen below the levels projected in a no-screening scenario. By 2019, the incidence had further declined by 12.4% (95% CI: 11.8%, 13.1%) for men and 11.6% (95% CI: 10.7%, 12.6%) for women, compared with the no-screening scenario. Cohort effects have shown a persistent rise from 1920 to 1980: incidence increased 5.8-fold for men and 3.1-fold for women. The trend began to plateau after 1980, with a noticeable decline in women.</p><p><strong>Conclusion: </strong>Through its screening programme, Taiwan has successfully reduced colorectal cancer incidence by 10% as of 2019. Furthermore, the incidence due to cohort effects has plateaued and even begun to decline. However, continued monitoring remains crucial. The advanced APCS model could serve as a robust analytical tool for other researchers and policy makers evaluating the impacts of cancer screening programmes on incidence trends.</p>","PeriodicalId":14147,"journal":{"name":"International journal of epidemiology","volume":"53 5","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}