European Journal of Epidemiology最新文献

{"title":"Differential risk of healthcare workers versus the general population during outbreak, war and pandemic crises","authors":"John P. A. Ioannidis","doi":"10.1007/s10654-024-01169-7","DOIUrl":"https://doi.org/10.1007/s10654-024-01169-7","url":null,"abstract":"<p>Healthcare workers may have different risk for severe outcomes compared with the general population during diverse crises. This paper introduces the concept of healthcare worker versus population hazard (HPH), the risk of an outcome of interest in active healthcare workers compared with the general population they serve. HPH can be expressed with relative risk (HPH(r)) and absolute risk difference (HPH(a)) metrics. Illustrative examples are drawn from infectious outbreaks, war, and the COVID-19 pandemic on death outcomes. HPH can be extreme for lethal outbreaks (HPH(r) = 30 to 143, HPH(a) = 8 to 91 per 1000 for Ebola deaths in 3 Western African countries in 2013-5), and modestly high in relative terms and very high in absolute terms for protracted, major armed conflicts (HPH(r) = 1.38 and HPH(a) = 10.2 for Syria during 2011–2024). Conversely, healthcare workers had 8-12-fold lower risk than the population they served for pandemic excess deaths (physicians in USA) or COVID-19 deaths (physicians in Ontario, healthcare workers in Finland), while healthcare workers in Indonesia did not have this advantage for COVID-19 deaths versus the general population. HPH is susceptible to data inaccuracies in numbers of at-risk populations and of outcomes of interest. Importantly, inferences about healthcare worker risk can be misleading, if deaths of retired healthcare workers contaminate the risk calculations– as in the case of misleading early perceptions of exaggerated COVID-19 risk for healthcare professionals. HPH can offer useful insights for risk assessment to healthcare professionals, the general public, and policy makers and may be useful to monitor for planning and interventions during crises.</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"14 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Jiangsu Biobank for the Prevention and Control of Diabetes (JBPCD) in China","authors":"Jian Su, Dong Hang, Jialiu He, Jie Yang, Enchun Pan, Yan Lu, Zhengyuan Zhou, Ming Su, Baoguo Fang, Xiaoqun Pan, Yu Qin, Zheng Zhu, Hao Yu, Renqiang Han, Xikang Fan, Jinyi Zhou, Chong Shen, Ming Wu","doi":"10.1007/s10654-024-01172-y","DOIUrl":"https://doi.org/10.1007/s10654-024-01172-y","url":null,"abstract":"<p>The Jiangsu Biobank for the Prevention and Control of Diabetes (JBPCD) is a community-based prospective cohort study initiated in Jiangsu province, to examine the burden of complications associated with type 2 diabetes mellitus (T2DM). This study aims to better understand the incidence, risk factors, and long-term outcomes of T2DM complications to inform prevention and control strategies. From October 2013 to July 2014, 20,053 T2DM patients (7,862 males and 12,191 females) were recruited from Suzhou city and Huai’an city. Baseline data were collected through questionnaire survey, physical examination and biochemical testing, with blood samples stored in a biobank. The follow-up focused on the incidence and mortality related to T2DM complications, linked to national and local medical datasets. Between August 2019 and October 2020, the repeated assessments were completed for 13,973 participants, including questionnaire, physical examination and repeated blood collection. The study identified 1,479 new cancer cases and 3,324 cardiovascular disease cases, with an overall mortality rate of 25.66 per 1,000 person-years. JBPCD welcomes research collaborations and data access requests via email. Currently, there are no plans to provide cohort data for free public access, but specific proposals for further collaboration are welcome. For further information and collaboration, please email [jswuming@vip.sina.com] and [sc@njmu.edu.cn].</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"1 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How to mitigate selection bias in COVID-19 surveys: evidence from five national cohorts","authors":"Martina K. Narayanan, Brian Dodgeon, Michail Katsoulis, George B. Ploubidis, Richard J. Silverwood","doi":"10.1007/s10654-024-01164-y","DOIUrl":"https://doi.org/10.1007/s10654-024-01164-y","url":null,"abstract":"<p>Non-response to surveys is a common problem; even more so during the COVID-19 pandemic with social distancing measures challenging data collection. As respondents often differ from non-respondents, this can introduce bias. The goal of the current study was to see if we can reduce bias and restore sample representativeness in a series of COVID-19 surveys embedded within five UK cohort studies by using the rich data available from previous waves of data collection. Three surveys were conducted during the pandemic across five UK cohorts: National Survey of Health and Development (NSHD, born 1946), 1958 National Child Development Study (NCDS), 1970 British Cohort Study (BCS70), Next Steps (born 1989-90) and Millennium Cohort Study (MCS, born 2000-02). Response rates in the COVID-19 surveys were lower compared to previous waves, especially in the younger cohorts. We identified bias due to systematic non-response in several variables, with more respondents in the most advantaged social class and among those with higher childhood cognitive ability. Making use of the rich data available pre-pandemic in these longitudinal studies, the application of non-response weights and multiple imputation was successful in reducing bias in parental social class and childhood cognitive ability, nearly eliminating it for the former. Surveys embedded within existing cohort studies offer a clear advantage over cross-sectional samples collected during the pandemic in terms of their ability to mitigate selection bias. This will enhance the quality and reliability of future research studying the medium and long-term effects of the pandemic.</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"46 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142673288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A prospective multicenter birth cohort in China: pregnancy health atlas","authors":"Si Zhou, Niya Zhou, Hanbo Zhang, Wenzhi Yang, Qingsong Liu, Lianshuai Zheng, Yuting Xiang, Dan Zheng, Yan Zhou, Siyi Wang, Danling Cheng, Jun He, Hong Wang, Wenbin Zhang, Liping Guan, Qiaoling Geng, Shihao Zhou, Hongbo Zhai, Hua Jin, Fei Hou, Shuzhen Wu, Jie Gao, Jing Yi, Luming Sun, Fengxiang Wei, Jianguo Zhang, Lei Yu, Xiao Yang, Leilei Wang, Lijian Zhao, Hongbo Qi","doi":"10.1007/s10654-024-01157-x","DOIUrl":"https://doi.org/10.1007/s10654-024-01157-x","url":null,"abstract":"<p>The China Prospective Multi-Center Birth Cohort Study was launched in 2022. In collaboration with medical centers in 12 cities, it aims to establish a high-quality, multidimensional cohort comprising 20,000 natural pregnancy and assisted reproductive families. As of June 26, 2024, 12,911 pregnant women have participated in this study, and 161,122 biological samples have been collected. These samples cover four critical periods (early pregnancy, mid-pregnancy, late pregnancy, and postpartum) and comprise 10 different types such as serum, plasma, and urine. The study has collected comprehensive information from early pregnancy to newborns. The participants have an average age of 29.76 years, an average height of 160.46 cm, an average pre-pregnancy BMI of 23.11, and an average BMI of 27.25 before delivery. The cohort includes individuals from 26 ethnic groups, with 25 minority groups comprising 5.03% of the population. Guizhou Province exhibits the highest percentage of ethnic minorities at 24.96% and Guangdong Province owns the highest proportion (12.22%) of women with two or more children. The prevalence of thalassemia in Guangdong Province is seven times higher than in other provinces. Among pregnant women over 35 years old, the prevalence of gestational diabetes mellitus is twice that of women under 35. Additionally, the prevalence of preeclampsia in women with assisted reproductive pregnancies is more than twice that of those with natural pregnancies. The study extensively collected diverse data and biological samples, making this cohort an ideal candidate for DOHaD field and multi-omics research.</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"1245 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142637213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Machine learning in causal inference for epidemiology","authors":"Chiara Moccia, Giovenale Moirano, Maja Popovic, Costanza Pizzi, Piero Fariselli, Lorenzo Richiardi, Claus Thorn Ekstrøm, Milena Maule","doi":"10.1007/s10654-024-01173-x","DOIUrl":"https://doi.org/10.1007/s10654-024-01173-x","url":null,"abstract":"<p>In causal inference, parametric models are usually employed to address causal questions estimating the effect of interest. However, parametric models rely on the correct model specification assumption that, if not met, leads to biased effect estimates. Correct model specification is challenging, especially in high-dimensional settings. Incorporating Machine Learning (ML) into causal analyses may reduce the bias arising from model misspecification, since ML methods do not require the specification of a functional form of the relationship between variables. However, when ML predictions are directly plugged in a predefined formula of the effect of interest, there is the risk of introducing a “plug-in bias” in the effect measure. To overcome this problem and to achieve useful asymptotic properties, new estimators that combine the predictive potential of ML and the ability of traditional statistical methods to make inference about population parameters have been proposed. For epidemiologists interested in taking advantage of ML for causal inference investigations, we provide an overview of three estimators that represent the current state-of-art, namely Targeted Maximum Likelihood Estimation (TMLE), Augmented Inverse Probability Weighting (AIPW) and Double/Debiased Machine Learning (DML).</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"19 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142601211","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations of coagulation parameters and thrombin generation potential with the incidence of type 2 diabetes: mediating role of glycoprotein acetylation.","authors":"Jihee Han,Astrid van Hylckama Vlieg,Renée de Mutsert,Frits R Rosendaal,Jeroen Hpm van der Velde,Sebastiaan C Boone,Esther Winters-van Eekelen,Saskia le Cessie,Ruifang Li-Gao","doi":"10.1007/s10654-024-01162-0","DOIUrl":"https://doi.org/10.1007/s10654-024-01162-0","url":null,"abstract":"Hypercoagulability is characterized by abnormal elevations of coagulation factor levels and increased thrombin generation potential. Prior studies demonstrated links between impaired glucose metabolism, endothelial dysfunction, and hypercoagulability. However, the associations between hypercoagulability and incident type 2 diabetes as well as its underlying mechanism remain unclear. We aimed to assess the associations between coagulation parameters including coagulation factor (F) VIII, FIX, FXI, fibrinogen, thrombin generation potential (lag time, endogenous thrombin potential [ETP], peak, time-to-peak, velocity) and incident type 2 diabetes, and to study the underlying mechanism by examining the mediating role of glycoprotein acetylation (GlycA). In the Netherlands Epidemiology of Obesity study, we applied a Cox Proportional-Hazards Model in 5718 participants after adjustment for confounders. We further conducted a mediation analysis investigating the mediation effect of GlycA on the observed associations. During a median follow-up of 6.7 years, 281 incident type 2 diabetes diagnoses were reported. Compared with the lowest quartile, hazard ratio (95% confidence interval) of the highest quartile was 2.47 (1.48-4.14) for FIX, 1.37 (0.85-2.20) for FVIII, 1.11 (0.76-1.63) for FXI, 0.98 (0.65-1.48) for fibrinogen, 1.56 (1.07-2.28) for ETP, 1.84 (1.23-2.74) for peak, 1.59 (1.08-2.33) for velocity, 0.92 (0.62-1.38) for lag time, and 1.21 (0.86-1.70) for time-to-peak. GlycA mediated only a small proportion of all observed associations. In conclusion, elevated levels of coagulation factor and thrombin generation potential are associated with incident type 2 diabetes, suggesting the involvement of hypercoagulability in the pathogenesis of type 2 diabetes.","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"8 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142439653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Body fatness across the adult life course and ovarian cancer risk.","authors":"Jennifer A Ritonja,Sreenath Madathil,Belinda Nicolau,Kevin L'Espérance,Vikki Ho,Michal Abrahamowicz,Anita Koushik","doi":"10.1007/s10654-024-01161-1","DOIUrl":"https://doi.org/10.1007/s10654-024-01161-1","url":null,"abstract":"Excess body fatness in late adulthood has been observed to increase ovarian cancer risk, but the association is relatively weak. Body fatness can change over time, and timing may differently influence risk. We used a life course epidemiology approach to identify whether the relation between body fatness and ovarian cancer risk is best described by a critical period, accumulation or sensitive period hypothesis. In a population-based case-control study of ovarian cancer in Montreal, Canada (2011-16), data on body mass index (BMI) at each decade starting at age 20 was available. Among 363 cases and 707 controls aged ≥ 50 years, we used a Bayesian relevant life course exposure model to estimate the relative importance of BMI for three pre-specified periods across the adult life course, i.e., early childbearing years, late childbearing years, and peri/postmenopause, on ovarian cancer risk. The accumulation hypothesis best described BMI in relation to ovarian cancer overall, with an odds ratio (OR) for the lifetime effect of BMI (per 5 kg/m2 increase) of 1.10 (95% credible interval [CrI]: 0.90-1.35). For invasive ovarian cancer, the OR (95% CrI) for the lifetime effect was 1.16 (0.92-1.48), with BMI during early childbearing years showing the highest relative importance, suggesting this may be a sensitive period. For borderline cancer, the lifetime effect OR was not strongly supportive of an association (OR: 0.90, 95% CrI: 0.53-1.32). The results suggest that a sensitive period of early childbearing years is a candidate hypothesis for further investigation.","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"13 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142439214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Family history of dementia and brain health in childhood and middle age: a prospective community-based study","authors":"Rowina F. Hussainali, Isabel K. Schuurmans, Jendé L. Zijlmans, Charlotte A. M. Cecil, Meike W. Vernooij, Annemarie I. Luik, Ryan L. Muetzel, M. Arfan Ikram, Frank J. Wolters","doi":"10.1007/s10654-024-01160-2","DOIUrl":"https://doi.org/10.1007/s10654-024-01160-2","url":null,"abstract":"<p>We aimed to determine the association of family history of dementia with structural brain measures and cognitive performance in childhood and mid-life adulthood. We studied 1,259 parents (mean age: 47.3 years, range 31.9–67.4) and 866 of their children (mean age [range] at brain MRI: 9.9 years [8.8–11.9], and for cognition: 13.5 years [12.6–15.8]) of the population-based Generation R Study. Parents filled in a questionnaire on family history, and both parents and children underwent cognitive assessment and neuroimaging. Of all participants, 109 parents (8.6%) reported a parental family history of dementia and 73 children (8.4%) had a grandparental history of dementia with mean age of dementia diagnosis in those affected 75 years (± 7.3). We observed no associations of dementia family history with cognitive ability in either parents or their children, except for worse Purdue pegboard in parents with a parental history of dementia, compared to those without (mean difference [95%CI]: -1.23 [-2.15; -0.31], test range: 21–52). In parents and children, neuroimaging measures did not differ significantly by family history. Results did not depend on age, sex, and <i>APOE</i> genotype. Family history of dementia was associated with worse manual dexterity in mid-life adulthood, but not with any other measures of cognitive ability or subclinical brain health in childhood and mid-life. These findings suggest that the association of family history with dementia risk is due chiefly to neurodegenerative rather than neurodevelopmental processes, and might first present with reduced motor skills.</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":"227 1","pages":""},"PeriodicalIF":13.6,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142397883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of consuming coffee and other beverages in adolescence on risk of type 2 diabetes in adulthood.","authors":"Derrick Johnston Alperet, Xiaowen Wang, Lu Zhu, Klodian Dhana, Jorge E Chavarro, Jess Haines, Frank B Hu, Walter C Willett, Qi Sun","doi":"10.1007/s10654-024-01165-x","DOIUrl":"10.1007/s10654-024-01165-x","url":null,"abstract":"<p><strong>Background: </strong>Dietary strategies for type 2 diabetes (T2DM) prevention have mainly focused on solid foods and nutrients. Emanating evidence suggests that beverage consumption in adulthood may also influence T2DM development, whereas the role of beverages during adolescence remains unknow.</p><p><strong>Objective: </strong>To examine adolescent beverages consumption, and their changes from adolescence to adulthood in relation to T2DM risk in adulthood.</p><p><strong>Methods: </strong>This prospective cohort study, conducted within the Nurses' Health Study II (NHS II), enrolled 41,317 women who completed a food-frequency questionnaire (FFQ) regarding their diet in high school and had no diabetes, cardiovascular disease, or cancer at baseline (1997). Beverage consumption including coffee, tea, regular or diet soda, fruit juice or milk, was assessed using the FFQ. Cox proportional hazards models were utilized to estimate hazard ratios (HRs) for the association between beverage consumption in adolescence and risk of incident type 2 diabetes (T2DM) in adulthood, adjusting for potential confounders.</p><p><strong>Results: </strong>During 725,650 person-years of follow-up, 2,844 participants developed T2DM. After adjustment for demographic, lifestyle and dietary risk factors, comparing ≥ 1 serving/day with non-consumers, adolescent coffee [HR, 0.86 (95% confidence interval: 0.75 to 0.98); P-trend = 0.02)] and orange juice [HR, 0.83 (0.71 to 0.96); P-trend = 0.0008)] consumption was associated with lower T2DM risk, whereas, regular soda [HR, 1.37 (1.20 to 1.57); P-trend < 0.0001)] and iced tea [HR, 1.41 (1.21 to 1.65); P-trend < 0.0001)] intake was associated with higher T2DM risk. Increased coffee intake from adolescence to adulthood in 1991 was associated with a lower T2DM risk [HR, 0.70 (0.61 to 0.80); P-trend < 0.0001), comparing ≥ + 3 servings/day with no change], whereas the opposite was observed for increased regular soda [HR, 1.20 (1.06 to 1.35); P-trend = 0.004), comparing ≥ + 1 or more servings/week with no change)] and diet soda consumption [HR, 1.59 (1.41 to 1.80); P-trend = 0.0002), comparing ≥ + 2 servings/day with no change].</p><p><strong>Conclusion: </strong>Adolescent consumption of coffee or orange juice intake was associated with a lower risk of T2DM, whereas the opposite was observed for intake of regular soda or iced tea. In addition, increased coffee intake was associated with a lower diabetes risk, whereas the opposite was observed for regular or diet soda intake. These data highlight a potentially important role of beverage intake at early life in the etiology of diabetes during adulthood.</p>","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":" ","pages":"1183-1197"},"PeriodicalIF":7.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142582190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cohort profile: a population-based birth cohort of traumatic brain injury in Ontario, Canada.","authors":"Vincy Chan, Clarissa Wirianto, Robert Balogh, Michael D Escobar","doi":"10.1007/s10654-024-01158-w","DOIUrl":"10.1007/s10654-024-01158-w","url":null,"abstract":"","PeriodicalId":11907,"journal":{"name":"European Journal of Epidemiology","volume":" ","pages":"1199-1206"},"PeriodicalIF":7.7,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142307353","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}