G. Calabrò, G. Castaman, G. Minno, S. Coretti, F. Rumi, J. Stojanović, D. Sacchini, C. Favaretti, A. Tagliaferri, A. Cicchetti
{"title":"New opportunities in Haemophilia treatment: Efmoroctocog Alfa for patients with Haemophilia A","authors":"G. Calabrò, G. Castaman, G. Minno, S. Coretti, F. Rumi, J. Stojanović, D. Sacchini, C. Favaretti, A. Tagliaferri, A. Cicchetti","doi":"10.2427/13247","DOIUrl":"https://doi.org/10.2427/13247","url":null,"abstract":"\u0000Recently new opportunities are emerging for improving the way patients with Haemophilia A are treated. Among these opportunities, efmoroctocog alfa is a first-in-class recombinant factor VIII-Fc fusion protein (rFVIIIFc) produced by recombinant DNA technology with an extended half-life compared with conventional FVIII preparations. The available evidence coming from an Italian HTA report indicates that efmoroctocog alfa provides an effective alternative to conventional FVIII preparations (including standard rFVIIIs) for the management of Haemophilia A. Moreover, by reducing the frequency of injections required, it has the potential to reduce treatment burden, and hence improve adherence to prophylaxis and patient Quality-of-Life. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"89 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76225413","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}
M. Valenti, R. Vagnetti, F. Masedu, M. Pino, A. Rossi, M. Scattoni, M. Mazza, EAGLE GROUP
{"title":"Register-based cumulative prevalence of Autism Spectrum Disorders during childhood and adolescence in Central Italy","authors":"M. Valenti, R. Vagnetti, F. Masedu, M. Pino, A. Rossi, M. Scattoni, M. Mazza, EAGLE GROUP","doi":"10.2427/13226","DOIUrl":"https://doi.org/10.2427/13226","url":null,"abstract":"\u0000Background: Studies have evaluated the prevalence of Autism Spectrum Disorders (ASD), focusing on different ages during childhood and adolescence. How cumulative prevalence increases before adulthood remains unclear. \u0000Methods: We used data from the Autism Register of the Regional Reference Centre for Autism in L’Aquila, Central Italy, to retrieve information on individuals born in 2001–2012 with any of the inclusion diagnoses of ASD (DSM criteria) for the period 2001 to 2018. Cumulative prevalence on L’Aquila district population data was calculated as percentages for three-year age strata. \u0000Results: All prevalence data were estimated at December 31st, 2018. The overall crude prevalence was 0.95% (352 cases over 36938 population). Cumulative prevalence was 1.19% among those born in 2001-2003 (15 to 17 years of follow up), 1.15% among those born in 2004-2006 (12 to 14 years of follow up), 1.04% among those born in 2007-2009 (9 to 11 years of follow up), 0.80% among those born in 2010-2012 (6 to 8 years of follow up), and 0.57% among those born in 2013-2015 (3 to 5 years of follow up). The proportion of ASD diagnoses until the age of 5 years, compared to the group diagnosed 6 to 8 years of age, showed a significant increasing trend over calendar time (53.6% for those born in 2001-2003, to 77.0% for those born in 2010-2012). \u0000Conclusions: Cumulative prevalence by time period provides a better understanding of ASD occurrence than a point prevalence. We did not find any difference in frequency of diagnosis comparing age strata and year of birth, suggesting that frequencies of ASD diagnosis remained roughly constant from 2001 to 2015. Results show that cumulative prevalence of autism diagnosis does not substantially change over time; instead, diagnosis of ASD is more likely at earliest ages over time, although new cases of ASD are also detected at later ages. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"134 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73624483","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}
M. D. Hawlader, S. Zaman, Moshiur Rahman, Mohammad NM Khan, A. Hossain, G. Ahsan
{"title":"Determinants of vitamin D deficiency among Bangladeshi children: A hospital based case-control study","authors":"M. D. Hawlader, S. Zaman, Moshiur Rahman, Mohammad NM Khan, A. Hossain, G. Ahsan","doi":"10.2427/13186","DOIUrl":"https://doi.org/10.2427/13186","url":null,"abstract":"\u0000Background: Risk factors of vitamin D deficiency among children have been identified in many developed countries but not yet in some developing countries like Bangladesh. Therefore, the aim of this study was to identify the determinants of vitamin D deficiency among Bangladeshi children. \u0000Methods: This case-control study was conducted at 2 paediatric hospitals in Dhaka city from January to June 2017. We recruited 198 vitamin D deficient cases and 198 apparently healthy controls. Data were analyzed using IBM SPSS, where quantitative variables were analyzed using descriptive statistics. The association between vitamin D deficiency with different lifestyle and dietary factors were analyzed by using Chi-square test. A 2-tailed p-value less than 0.05 were considered as statistically significant. Univariate and multivariate logistic regression analysis were performed to confirm the association. \u0000Results: The study revealed that not playing outdoor games (OR=3.09; 95% CI 1.46, 6.54), playing video/ TV/mobile games (OR=4.14; 95% CI 1.97-8.67), no sun exposure (OR=2.42; 95% CI 1.25-4.67), no milk consumption (OR=3.01; 95% CI 1.38-6.57), no sea fish consumption (OR=2.20; 95% CI 1.19-4.08) and not exclusively breastfeeding (OR=2.03; 95% CI 1.14-3.63) were significantly associated with vitamin D deficiency. \u0000Conclusion: We concluded that improper lifestyles and nutritional habits are the key determinants of Vitamin D deficiency among Bangladeshi children. Strategy for hypovitaminosis D prevention should be implemented immediately, which includes vitamin D supplementation of breastfed infants and ensuring adequate maternal vitamin D status during pregnancy. Also an awareness program should be initiated to promote a healthy lifestyle and to improve nutritional habits. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90832357","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}
M. N. Abdullah, Y. B. Wah, Y. Zakaria, A. Majeed, O. S. Huat
{"title":"Discovering potential blood-based cytokine biomarkers for Alzheimer’s disease using Firth Logistic Regression","authors":"M. N. Abdullah, Y. B. Wah, Y. Zakaria, A. Majeed, O. S. Huat","doi":"10.2427/13173","DOIUrl":"https://doi.org/10.2427/13173","url":null,"abstract":"\u0000Background: Alzheimer’s disease (AD) is a neurodegenerative disorder where patients suffer from memory loss, cognitive impairment and progressive disability. Individual blood biomarkers have not been successful in defining the disease pathology, progression and diagnosis of AD. There is a need to identify multiplex panels of blood biomarkers for early diagnosis of AD with high sensitivity and specificity. This study focused on identification of cytokine biomarkers. The maximum likelihood estimates of the ordinary logistic regression model cannot be obtained when there is complete separation and the alternative is Firth logistic regression which uses a penalised Maximum Likelihood in parameter estimation. \u0000Methods: This paper reports a Firth logistic regression application in finding potential blood-based cytokine biomarkers for Alzheimer’s disease in a matched case control study. We used a principle component analysis to discriminate the correlated, completely separated covariates. \u0000Results: The Firth logistic regression results showed that nine individual biomarkers IL-1β, IL-6, IL-12, IFN-γ, IL-10, IL-13, IP-10, MCP-1 and MIP-1α had a significant relationshipwith elevated risk for AD as compared to the healthy control (HC). Principal component analysis with varimax rotation for the nine biomarkers revealed four factors (total variance explained=85.5%). The main principal component biomarkers were IL-1β, IL-6, IL-13 and MCP-1 (total variance explained=62.3%). Firth’s logistic regression model with the first principal component had accuracy of 78.2% with sensitivity and specificity of 71.8% and 75% respectively. \u0000Conclusion: Firth’s logistic regression is a useful technique in identification of significant biomarkers when there is an issue of data separation. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74850062","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}
{"title":"Assessing Persistence in Spatial Clustering of Disease, with an Application to Drug Related Deaths in Scottish Neighbourhoods","authors":"Peter Congdon","doi":"10.2427/13225","DOIUrl":"https://doi.org/10.2427/13225","url":null,"abstract":"\u0000Background: The upward trend in drug related deaths in some countries is a major public health concern. Regarding geographic location within countries, many studies report spatial clustering in drug related deaths. We consider drug related deaths in Scottish small areas, and investigate probabilities that clusters of adjacent neighbourhoods have elevated risk. We focus especially on assessing persistence in spatial clustering, relevant to prioritising area based interventions. We assess impacts of area risk factors on drug deaths, finding a strong link to poverty, and a clear overlap between drug death clustering and spatial poverty clustering. \u0000Methods: We analyse drug related deaths in 1279 Scotland neighbourhoods over two periods, 2009-13 and 2014- 18, during which drug related mortality in Scotland has more than doubled. A fully Bayesian approach is used to identify zones with high mortality risk in both a neighbourhood and its spatial lag (“high-high” clusters), and extended to identify recurring high risk clustering over more than one period. Estimation of mortality risks, and of cluster probabilities through periods, is developed in conjunction with a regression model including area risk factors such as deprivation. \u0000Results: Persistent clustering is concentrated in major urban centres, for example, Glasgow and Dundee. Deprivation is the paramount observed risk factor underlying elevated mortality risk, and persistent clustering in drug related mortality shows strong overlaps with poverty clustering. Social fragmentation modifies the paramount influence of poverty on drug mortality risk. \u0000Conclusion: Cluster persistence is a central feature in small area variability in drug related death risk in Scotland intermediate zones, especially in some urban areas. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"79 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84247167","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}
{"title":"CD4 Count Progression of Adult HIV Patients Under Art Follow Up At Mekelle General Hospital, Tigray Region: A Longitudinal Data Analysis Approach","authors":"H. Meles, Haftom Temesgen, M. Alemayehu","doi":"10.2427/13234","DOIUrl":"https://doi.org/10.2427/13234","url":null,"abstract":"\u0000Background: The number of people receiving antiretroviral therapy (ART) in low- and middle-income countries continues to show encouraging growth, indicating that the global effort to scale up HIV treatment has exceeded 15 million people by the end of 2015. \u0000Methods: A retrospective cohort study, comprising of the quantitative method of data collection was conducted among randomly selected 210 adult ART users enrolled in the first 6 months of 2011 and followed up to mid-2016 which is a five year follow up. Data were analyzed using a linear mixed model to identify the determinant factors, which importantly incorporates the effect of factors over time. \u0000Results: Ninety-five (45%) were males and 115 (55%) were females. Composition of patients’ WHO clinical stage were; stage I (25 (11.8%)), stage II (30 (14.2%)), stage III (102 (48.8%)), and stage IV (52 (24.6%)). The mean CD4+ count at baseline was 218 cells. The progression of CD4+ count for males is lower than that of female over time (coef. =-0.0779, p-value=0.0062). There was a direct relationship between time in month and CD4+ count progression i.e., the CD4+ count progression of the adult HIV patients was increasing during the subsequent number of times measured or followed up under the ART clinic (coef. = 0.0435, p-value=0.0000). Patients with WHO stage II (coef. = -0.0982, p-value=0.0109) , stage III (coef. = -0.0884, p-value = 0.0010) and stage IV (coef. = 0.0859, p-value = 0.0095) had lower CD4+ count than the reference category WHO clinical stage I over time. \u0000Conclusion: In conclusion, we found that the WHO clinical stage, Time, Weight, Gender and the Interaction effects of Weight with Time were significantly associated with the progression of CD4+ counts over time. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"31 6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87110079","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}
Behnaz Alafchi, H. Mahjub, Leili Tapak, J. Poorolajal, G. Roshanaei
{"title":"Modeling the trajectory of CD4 cell count and its effect on the risk of AIDS progression and TB infection among HIV-infected patients using a joint model of competing risks and longitudinal ordinal data","authors":"Behnaz Alafchi, H. Mahjub, Leili Tapak, J. Poorolajal, G. Roshanaei","doi":"10.2427/13223","DOIUrl":"https://doi.org/10.2427/13223","url":null,"abstract":"\u0000Background: This study was conducted to better understand the influence of prognostic factors and the trend of CD4 cell count on the risk of progression to acquired immunodeficiency syndrome (AIDS) and tuberculosis (TB) infection among patients with human immunodeficiency virus (HIV) in a developing country. \u0000Methods: The information of 1530 HIV-infected patients admitted in Behavioral Diseases Counseling Centers, Tehran, Iran, (2004-2014) was analyzed in this study. A joint model of ordinal longitudinal outcome and competing events is used to model longitudinal measurements of CD4 cell count and the risk of TB-infection and AIDS-progression among HIV patients, simultaneously. \u0000Results: The results revealed that the trend of CD4 cell count had a significant association with the risk of TB-infection and AIDS-progression (p<0.001). Higher ages (p<0.001), the history of being in prison (p=0.013), receiving antiretroviral therapy (ART) (p<0.001) and isoniazid preventive therapy (IPT) (p<0.001) were associated with the positive trend of CD4 cell count. Higher ages were also associated with higher risks of TB (p<0.001) and AIDS-progression (p<0.001). Furthermore, ART (p=.0009) and IPT (p<0.001) were associated with a lower risk of TB-infection. In addition, ART (p<0.001) was associated with a lower risk of AIDS-progression. Moreover, individuals being imprisoned (p=0.001) and abusing alcohol (p=0.012) were more likely to have TB-co-infection. \u0000Conclusions: The used joint model provided a flexible framework for simultaneous studying of the effects of covariates on the level of CD4 cell count and the risk of progression to TB and AIDS. This model also assessed the effect of CD4 trajectory on the hazards of competing events. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"40 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90343801","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}
{"title":"Task shifting to enhanced physical therapy in musculoskeletal secondary care. An evidence-based narrative review","authors":"F. Pennestrì, G. Banfi","doi":"10.2427/13211","DOIUrl":"https://doi.org/10.2427/13211","url":null,"abstract":"\u0000Background: The World Health Organization defines task shifting as the rational redistribution of tasks among the healthcare workforce teams. The transfer of tasks to physical therapy is well suited for musculoskeletal conditions, either where exercise and physical activity are an important part of the treatment, or to sort the flow of emergency patients. \u0000Methods: What are the benefits, limits and implementation challenges associated to the employment of enhanced physical therapy in the redistribution of secondary healthcare workforce? The aim of this narrative review is to collect evidence from the most recent publications, in order to address clinical studies, policy making and further research. \u0000Results: A clear correlation between healthcare system and type of service was not found, supporting that task shifting can be employed to meet different needs. In emergency departments, enhanced physical therapists are employed to improve the flow of musculoskeletal patients, reduce waiting time, length of stay and free up professionals in support of more complex conditions. Otherwise, enhanced physical therapists are employed to sort the flow of chronic musculoskeletal patients, triaging to orthopaedic surgery, and performing follow-up. Clinical outcomes were equal or better than those achieved by other professionals. Appropriate diagnoses and referrals were also demonstrated, despite two studies show enhanced physical therapy to be effective but dependent by medical support. Specific training is therefore fundamental. \u0000Conclusion: Task shifting is a promising innovation which is worthy introducing in the management of chronic musculoskeletal conditions, when most of the treatments may be repeated under the supervision of medical consultants. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"94 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90515361","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}
D. Azzolina, I. Baldi, G. Barbati, P. Berchialla, D. Bottigliengo, Andrea Bucci, S. Calza, P. Dolce, V. Edefonti, Andrea Faragalli, G. Fiorito, I. Gandin, F. Giudici, D. Gregori, C. Gregorio, F. Ieva, C. Lanera, G. Lorenzoni, M. Marchioni, A. Milanese, A. Ricotti, V. Sciannameo, G. Solinas, M. Vezzoli
{"title":"Machine learning in clinical and epidemiological research: isn't it time for biostatisticians to work on it?","authors":"D. Azzolina, I. Baldi, G. Barbati, P. Berchialla, D. Bottigliengo, Andrea Bucci, S. Calza, P. Dolce, V. Edefonti, Andrea Faragalli, G. Fiorito, I. Gandin, F. Giudici, D. Gregori, C. Gregorio, F. Ieva, C. Lanera, G. Lorenzoni, M. Marchioni, A. Milanese, A. Ricotti, V. Sciannameo, G. Solinas, M. Vezzoli","doi":"10.2427/13245","DOIUrl":"https://doi.org/10.2427/13245","url":null,"abstract":"In recent years, there has been a widespread cross-fertilization between Medical Statistics and Machine Learning (ML) techniques.","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74008567","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}
E. Lauta, C. Abbinante, Lorenza Maiellaro, Ruggiero Rizzi, P. Dormio, V. Defilippis
{"title":"Improving Homecare Risk Management and Patient Safety","authors":"E. Lauta, C. Abbinante, Lorenza Maiellaro, Ruggiero Rizzi, P. Dormio, V. Defilippis","doi":"10.2427/13141","DOIUrl":"https://doi.org/10.2427/13141","url":null,"abstract":"\u0000Background: Risk management in the domiciliary healthcare setting is a harder challenge than in a hospital environment. Many, not always predictable, variables related to the patient, the caregiver, the health professionals and the home environment make it impossible to guarantee complete safety in homecare. The first aim of the study was to verify that the Electrical Medical Devices (EMD) and medical Consumables Supplies (CS) provided to mechanically ventilated and artificially fed patients at home comply with requirements for safe homecare. \u0000Methods: We conducted a Failure Modes, Effects and Criticality Analysis (FMECA) on two processes, mechanical ventilation and artificial feeding at home, and defined a local institutional list of the requirements for safe home healthcare; a checklist containing all the items in the list was administered to ventilated and artificially fed patients at home. \u0000Results: The checklist was used for 92 home patients, sex M/F=52/40, mean age 59,8±22 years (range 2÷102 years). Many failures were highlighted when the checklist was applied and problems affecting AMBU resuscitator bags, tracheostomy tubes, ventilators in patients being mechanically ventilated around-the-clock and ventilator circuits were identified as the most critical potential vulnerabilities for homecare patients. \u0000Conclusion: The checklist is a simple and valid tool for implementing proactive clinical risk management initiatives in homecare. Although it is impossible to guarantee complete safety in any healthcare environment, scheduling periodic checks with checklists to assess the quantitative and qualitative adequacy of EMD and CS provided to the patient could contribute to the homecare risk reduction. \u0000","PeriodicalId":45811,"journal":{"name":"Epidemiology Biostatistics and Public Health","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74456207","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}