The impact of the pandemic on non-COVID-19 causes of death in the United States: a multiple cause of death analysis [0.03%]
大流行对美国非COVID-19死亡原因的影响：多重死亡原因分析
Yu Li,Hang Li,Tim Adair
Yu Li
Multiple cause of death data allow for a more granular analysis of the pandemic's impact on mortality from non-COVID-19 causes of death compared with analysis of a single underlying cause of each death because they are often a co-morbidity ...
Identification of effect modifiers using a stratified Mendelian randomization algorithmic framework [0.03%]
使用分层孟德尔随机化算法框架识别效应修饰剂
Alice Man,Leona Knüsel,Josef Graf et al.
Alice Man et al.
Mendelian randomization (MR) is a technique which uses genetic data to uncover causal relationships between variables. With the growing availability of large-scale biobank data, there is increasing interest in elucidating nuances in these r...
Epidemiology of first-time major lower extremity amputations- A Danish Nationwide cohort study from 2010 to 2021 [0.03%]
首次大截肢的流行病学研究——2010年至2021年丹麦全国队列研究
Anna Trier Heiberg Brix,Katrine Hass Rubin,Tine Nymark et al.
Anna Trier Heiberg Brix et al.
Background and aim: Major lower extremity amputations (MLEA) are common procedures. Potential changes in surgical strategy and patient characteristics over time have not been described previously. The aim of this study wa...
Impact of lifestyle factors post-infectious mononucleosis on multiple sclerosis risk [0.03%]
传染性单核白细胞增多症后生活方式因素对多发性硬化风险的影响
Eva Johansson,Tomas Olsson,Lars Alfredsson et al.
Eva Johansson et al.
Background: Accumulating evidence suggest that Epstein-Barr virus (EBV) is crucial in the development of multiple sclerosis (MS), with inadequate infection control possibly contributing to disease onset. Past infectious m...
Two-step pragmatic subgroup discovery for heterogeneous treatment effects analyses: perspectives toward enhanced interpretability [0.03%]
两步实用子组发现用于异质性治疗效果分析：提高可解释性的视角
Toshiaki Komura,Falco J Bargagli-Stoffi,Koichiro Shiba et al.
Toshiaki Komura et al.
Effect heterogeneity analyses using causal machine learning algorithms have gained popularity in recent years. However, the interpretation of estimated individualized effects requires caution because insights from these data-driven approach...
Lipids, apolipoproteins, carbohydrates, and risk of hematological malignancies [0.03%]
脂类、载脂蛋白、碳水化合物和血液恶性肿瘤的风险
Qianwei Liu,Dang Wei,Niklas Hammar et al.
Qianwei Liu et al.
Previous studies have investigated the role of metabolic factors in risk of hematological malignancies with contradicting findings. Existing studies are generally limited by potential concern of reverse causality and confounding by inflamma...
Increasing transparency of decision making in research practice: adding value or just more red tape? [0.03%]
在研究实践中提高决策透明度：增加价值还是繁文缛节？
Jenny T van der Steen,Lex M Bouter
Jenny T van der Steen
Association between maternal cancer and the incidence of cancer in offspring [0.03%]
母亲癌症与后代患癌症发病率的关系
Su-Min Jeong,Jihye Heo,Kyujin Choi et al.
Su-Min Jeong et al.
Despite the growing population of young cancer survivors of reproductive age, the risk of cancer in offspring born to female cancer survivors has yielded inconsistent results. Therefore, this study aimed to investigate the risk of cancer am...
Machine-learning approaches to predict individualized treatment effect using a randomized controlled trial [0.03%]
使用随机对照试验预测个体治疗效果的机器学习方法
Rikuta Hamaya,Konan Hara,JoAnn E Manson et al.
Rikuta Hamaya et al.
Recent advancements in machine learning (ML) for analyzing heterogeneous treatment effects (HTE) are gaining prominence within the medical and epidemiological communities, offering potential breakthroughs in the realm of precision medicine ...
Cohort profile: The BiCoVac cohort - a nationwide Danish cohort to assess short and long-term symptoms following COVID-19 vaccination [0.03%]
队列特征：BiCoVac队列——一个全国性的丹麦队列，用于评估COVID-19疫苗接种后的短期和长期症状
Christina Bisgaard Jensen,Kristoffer Torp Hansen,Casper Mailund Nielsen et al.
Christina Bisgaard Jensen et al.
BiCoVac is a population-based Danish cohort aiming to examine whether Coronavirus disease 2019 (COVID-19) vaccines are associated with non-specific symptoms beyond the specific protection of COVID-19. Data were collected by four questionnai...