bluuebunny/crossref_metadata_2025_split huggingface dataset:
COVID-19 mRNA vaccine and antibody response in lactating women: a prospective cohort study
Authors: Charepe Nadia , Gonçalves Juliana , Juliano A. Margarida , Lopes David G. , Canhão Helena , Soares Helena , Serrano e Fátima 
Published: September 2021

Abstract
Background
Immunological protection via breastfeeding is well known. The immunological profile of human milk changes during lactation. No clinical trials have been conducted in lactating women with the newest mRNA vaccines against SARS- CoV-2. A Few studies have shown the presence of antibodies in breastmilk after vaccination. The aim of this work is to study possible antibodies transfer via breastmilk and also the immunological characteristics of lactating women compared to non-lactating women, after using the BNT162b2 Pfizer vaccine.

Methods
This is a prospective cohort study with a convenience homogenous sample of 24 healthcare workers (14 lactating and 10 non-lactating women) enrolled at the time of COVID-19 vaccination. Clinical data was registered in a questionnaire. Titers of SARS-CoV-2 spike IgG, IgA and IgM were quantified in post vaccination blood and human milk. Antibody quantification was performed by an in-house ELISA to SARS-CoV-2 trimeric spike protein.

Results
All women showed immunity after vaccination with positive antibodies for IgM, IgA and IgG antibodies. The dominant serum antibody response was IgG. Modest levels of antibodies in breastmilk of lactating mothers were observed in this study, especially IgG in 42.9%. There was a moderate association between higher titers of IgG and a longer duration of breastfeeding (R= 0.55, p=0.041).

Conclusions
Evidence of antibody transfer in human milk after COVID-19 vaccination is scarce. The presence of antibodies in human milk is reported, but immunization through breastfeeding is still to be established.
Incorporating Aboriginal women’s voices in improving care and reducing risk for women with diabetes in pregnancy - A phenomenological study
Authors: Wood Anna J , Graham Sian , Boyle Jacqueline A , Marcusson-Rababi Beverley , Anderson Shonada , Connors Christine , McIntyre Harold D , Maple-Brown Louise , Kirkham Renae 
Published: September 2021

AbstractBackgroundThere is a high burden of gestational diabetes (GDM) and type 2 diabetes in pregnancy for Aboriginal and Torres Strait Islander women. Postpartum diabetes programs have the potential to prevent recurrent GDM and improve management of type 2 diabetes. However, data on such programs are limited, particularly in the Indigenous context. We aimed to explore Aboriginal Australian women’s and health providers’ preferences for a program to prevent and improve diabetes after pregnancy.MethodsA phenomenological methodology underpinned semi-structured in-depth interviews with eleven Aboriginal women and seven health professionals across the Northern Territory from October 2019- February 2020. Interviews were analysed using an inductive analysis framework to address the barriers and enablers of proposed diabetes prevention programs identified by participants.ResultsIdentified structural barriers to lifestyle change included: food insecurity, persuasive marketing of unhealthy food options, lack of facilities and cultural inappropriateness of previous programs. Enablers to lifestyle change included: a strong link between a healthy lifestyle and connection with Country, family and community. Suggested strategies to improve lifestyle included: co-designed cooking classes or a community kitchen, team sports and structural change (targeting the social determinants of health). Lifestyle change was preferred over metformin to prevent and manage diabetes after pregnancy by participants and health care providers.ConclusionsWe recommend individual level programs be designed alongside policies that address systemic inequalities. A postpartum lifestyle program should be co-designed with community members and grounded in Aboriginal conceptions of health to adequality address the health disparities experienced by Aboriginal people in remote communities.
Comprehensive analysis of the transcriptional expressions and prognostic value of S100A family in pancreatic ductal adenocarcinoma
Authors: Li Hong-Bin , Wang Jian-Li , Jin Xiao-Dong , Zhao Lei , Ye Hui-Li , Kuang Yan-bei , Ma Yong , Jiang Xiang-Yan , Yu Ze-Yuan 
Published: September 2021

Abstract
Background
Pancreatic ductal adenocarcinoma (PDAC) remains a treatment-refractory malignancy with poor prognosis. It is urgent to identify novel and valid biomarkers to predict the progress and prognosis of PDAC. The S100A family have been identified as being involved in cell proliferation, migration and differentiation progression of various cancer types. However, the expression patterns and prognostic values of S100As in PDAC remain to be analyzed.

Methods
We investigated the transcriptional expressions, methylation level and prognostic value of S100As in PDAC patients from the Oncomine, GEPIA2, Linkedomics and cBioPortal databases. Real-time PCR was used to detect the expressions of S100A2/4/6/10/14/16 in four pancreatic cancer cell lines and pancreatic cancer tissues from PDAC patients undergoing surgery. To verify the results further, immunohistochemistry was used to measure the expression of S100A2/4/6/10/14/16 in 43 PDAC patients’ tissue samples. The drug relations of S100As were analyzed by using the Drugbank database.

Results
The results suggested that, the expression levels of S100A2/4/6/10/14/16 were elevated to PDAC tissues than in normal pancreatic tissues, and the promoter methylation levels of S100A S100A2/4/6/10/14/16 in PDAC (n = 10) were lower compared with normal tissue (n = 184) (P < 0.05). In addition, their expressions were negatively correlated with PDAC patient survival.

Conclusions
Taken together, these results suggest that S100A2/4/6/10/14/16 might be served as prognostic biomarkers for survivals of PDAC patients.
Characteristics of childhood allergic diseases in outpatient and emergency departments in Shanghai, China, 2016–2018: a multicenter, retrospective study
Authors: Qi Yuanyuan , Shi Peng , Chen Renjie , Zhou Yufeng , Liu Lijuan , Hong Jianguo , Cao Lanfang , Lu Yanming , Dong Xiaoyan , Li Jing , Shi Yu , Xia Min , Ding Bo , Qian Liling , Wang Libo , Zhou Wenhao , Gui Yonghao , Zhang Xiaobo 
Published: September 2021

Abstract
Background
The prevalence of allergic diseases (ADs), such as asthma and allergic rhinitis (AR), is increasing worldwide in both adults and children. Although ADs are common and frequently coexist in outpatient care, city-level data regarding the characteristics of childhood AD remain limited in China. This study aimed to assess the profile and characteristics of ADs in the city of Shanghai.

Methods
A multicenter retrospective study was designed to collect routine administrative data from outpatient and emergency departments from 66 hospitals in Shanghai, China, from 2016 to 2018. Children with asthma, AR, allergic conjunctivitis (AC), and allergic skin diseases were investigated. Demographic characteristics, patients visit pattern, spectrum of diagnosis, and comorbidities were analyzed.

Results
A total of 2,376,150 outpatient and emergency visits for ADs were included in the period from 2016 to 2018. Allergic skin diseases accounted for 38.9%, followed by asthma (34.8%), AR (22.9%), and AC (3.3%), with a male predominance in all four diseases. Asthma and allergic skin diseases were most frequent in the 1 to < 4 years of age group, while AR and AC were more common in the 4 to < 7 years of age group. Asthma accounted for the greatest number of annual and emergency visits. The most frequent comorbidity of asthma was lower respiratory tract infection (LRTI) (49.3%), followed by AR (20.5%) and upper respiratory tract infection (14.1%). The most common comorbidities of AR were otitis media (23.4%), adenoid hypertrophy/obstructive sleep apnea (22.1%), followed by LRTI (12.1%), asthma (9.4%) and chronic pharyngitis (8.9%).

Conclusions
Asthma and allergic skin diseases were the most common ADs in outpatient and emergency departments in the study period. Respiratory tract infection was the most common comorbidity of asthma in children. More attention should be devoted to the treatment of comorbidities to improve childhood AD outcomes with a better understanding of the characteristics of ADs in outpatient care.
Depression, post-traumatic stress, anxiety, and fear of COVID-19 in the general population and health-care workers: prevalence, relationship, and explicative model in Peru
Authors: Villarreal-Zegarra David , Copez-Lonzoy Anthony , Vilela-Estrada Ana L. , Huarcaya-Victoria Jeff 
Published: September 2021

Abstract
Background
This study has two aims. First, determine the fit of the fear model to COVID-19, anxiety, and post-traumatic stress in the general population and health-care workers. Second, determine which model best explains the relationship between depression and the triad of fear, anxiety, and post-traumatic stress in both groups.

Method
A cross-sectional study was conducted using self-reported questionnaires for anxiety, fear of COVID-19, depression, and post-traumatic stress. Information was collected from adults living in Lima, the capital and the most populous city in Peru. The explanatory models were evaluated using a structural equation model.

Results
A total of 830 participants were included, including general population (n = 640) and health-care workers (n = 190). A high overall prevalence of depressive symptoms (16%), anxiety (11.7%), and post-traumatic stress (14.9%) were identified. A higher prevalence of depressive, anxious, or stress symptoms was identified in the general population (28.6%) compared to health-care workers (17.9%). The triad model of fear of COVID-19, anxiety, and stress presented adequate goodness-of-fit indices for both groups. A model was identified that manages to explain depressive symptoms in more than 70% of the general population and health-care workers, based on the variables of the triad (CFI = 0.94; TLI = 0.94; RMSEA = 0.06; SRMR = 0.06). In the general population post-traumatic stress mediated the relationship between anxiety and depression (β = 0.12; 95%CI = 0.06 to 0.18) which was significant, but the indirect effect of post-traumatic stress was not significant in health care workers (β = 0.03; 95%CI = − 0.11 to 0.19).

Limitations
The prevalence estimates relied on self-reported information. Other variables of interest, such as intolerance to uncertainty or income level, could not be evaluated.

Conclusions
Our study proposes and tests one model that explains more than 70% of depressive symptoms. This explanatory model can be used in health contexts and populations to determine how emotional factors can affect depressive symptoms.
Primary school students’ poetic malaria messages from Jimma zone, Oromia, Ethiopia: a qualitative content analysis
Authors: Kebede Yohannes , Hayder Abdu , Girma Kasahun , Abamecha Fira , Alemayehu Guda , Abebe Lakew , Sudhakar Morankar , Birhanu Zewdie 
Published: September 2021

Abstract
Background
The engagement of schools in malaria control is an emerging strategy. Little is known about the involvement of students in the development of malaria messages. This study evaluated the message content of primary school students’ malaria poems.

Methods
A qualitative content analysis was conducted to explore malaria messages conveyed in poems produced by students. Twenty poems were purposively selected from twenty schools across rural villages in five districts of the Jimma Zone. Data were analyzed using Atlas.ti version 7.1.4 software. The message contents were quantified in terms of frequency, and including metaphors, presented using central themes, categories, and supportive quotations.

Results
A total of 602 malarial contents were generated, and organized into 21 categories under five central themes. 1) Malaria-related knowledge (causation and modes of transmission, mosquito breeding and biting behavior, signs and symptoms, care for insecticide-treated nets (ITNs), and prevention methods), 2) Perceived threats from malaria, 3)The effectiveness of prevention methods (i.e., related to the adaption of ITNs, environmental cleaning, indoor residual spray (IRS), treatment for fever, and drug adherence practices), 4) Misconceptions, beliefs, and malpractices regarding the cause of malaria and drug use) and 5) Direct calls to the adopt ITN, IRS, clean surroundings, treatment, and drug use. The most commonly conveyed message contents were about the severity of malaria, distinguishable signs and symptoms, calls for community participation for malaria elimination, knowledge of preventive methods, and effectiveness of ITN use. Metaphoric expressions (war and death) were used to convey messages about the severity and the need to manage the prognosis of malaria through the active ITN use, which itself was metaphorically represented as ‘a trap’ to mosquitoes.

Conclusions
The poetic analysis indicated that the students developed and disseminated rich malarial messages, especially on malarial knowledge, and perceptions, beliefs, norms and practices of the local community to prevent and control malaria. Therefore, primary school students can be a source of information and would effectively communicate knowledge, perceptions, and promote malaria related practices, particularly in rural settings.
Nutritional status and concomitant factors of stunting among pre-school children in Malda, India: A micro-level study using a multilevel approach
Authors: Sk Rayhan , Banerjee Anuradha , Rana Md Juel 
Published: September 2021

Abstract
Background
Malnutrition was the main cause of death among children below 5 years in every state of India in 2017. Despite several flagship programmes and schemes implemented by the Government of India, the latest edition of the Global Nutrition Report 2018 addressed that India tops in the number of stunted children, which is a matter of concern. Thus, a micro-level study was designed to know the level of nutritional status and to study this by various disaggregate levels, as well as to examine the risk factors of stunting among pre-school children aged 36–59 months in Malda.

Method
A primary cross-sectional quantitative survey was conducted using structured questionnaires following a multi-stage, stratified simple random sampling procedure in 2018. A sum of 731 mothers with at least one eligible child aged 36–59 months were the study participants. Anthropometric measures of children were collected following the WHO child growth standard. Children were classified as stunted, wasted, and underweight if their HAZ, WHZ, and WAZ scores, respectively, were less than −2SD. The random intercept multilevel logistic regression model has been employed to estimate the effects of possible risk factors on childhood stunting.

Results
The prevalence of stunting in the study area is 40% among children aged 36–59 months, which is a very high prevalence as per the WHO’s cut-off values (≥40%) for public health significance. Results of the multilevel analysis revealed that preceding birth interval, low birth weight, duration of breastfeeding, mother’s age at birth, mother’s education, and occupation are the associated risk factors of stunting. Among them, low birth weight (OR 2.22, 95% CI: 1.44–3.41) and bidi worker as mothers’ occupation (OR 1.92, 95% CI: 1.18–3.12) are the most influencing factors of stunting. Further, about 14 and 86% variation in stunting lie at community and child/household level, respectively.

Conclusion
Special attention needs to be placed on the modifiable risk factors of childhood stunting. Policy interventions should direct community health workers to encourage women as well as their male partners to increase birth interval using various family planning practices, provide extra care for low birth weight baby, that can help to reduce childhood stunting.
HIV continuum of care: expanding scope beyond a cross-sectional view to include time analysis: a systematic review
Authors: Vourli Georgia , Katsarolis Ioannis , Pantazis Nikos , Touloumi Giota 
Published: September 2021

Abstract
Introduction
The continuum of care (CoC) model has been used to describe the main pillars of HIV care. This study aims to systematically review methods and elucidate gaps in the CoC analyses, especially in terms of the timing of the progression through steps, recognized nowadays as a critical parameter for an effective response to the epidemic.

Methods
A PubMed and EMBASE databases search up to December 2019 resulted in 1918 articles, of which 209 were included in this review; 84 studies presented in major HIV conferences were also included. Studies that did not provide explicit definitions, modelling studies and those reporting only on metrics for subpopulations or factors affecting a CoC stage were excluded. Included articles reported results on 1 to 6 CoC stages.

Results
Percentage treated and virally suppressed was reported in 78%, percentage diagnosed and retained in care in 58%, percentage linked to care in 54% and PLHIV in 36% of the articles. Information for all stages was provided in 23 studies. Only 6 articles use novel CoC estimates:
One presents a dynamic CoC based on multistate analysis techniques, two base their time-to-next-stage estimates on a risk estimation method based on the cumulative incidence function, weighted for confounding and censoring and three studies estimated the HIV infection time based on mathematical modelling.

Conclusion
A limited number of studies provide elaborated time analyses of the CoC. Although time analyses lack the straightforward interpretation of the cross-sectional CoC, they provide valuable insights for the timely response to the HIV epidemic. A future goal would be to develop a model that retains the simplicity of the cross-sectional CoC but also incorporates timing between stages.
A nomogram to predict stricture-free survival in patients with ureteral stricture after balloon dilation
Authors: Hu Jintao , Lai Cong , Gao Mingchao , Li Kaiwen , He Wang , Zhu Dingjun , Xie Wenlian , Wu Haihua , Xu Meijuan , Huang Jian , Han Jinli 
Published: September 2021

Abstract
Background
Balloon dilation is a commonly used minimally invasive endourological treatment of ureteral stricture, but the postoperative recurrence rate is relatively high. And factors contributing to recurrence after treatment are poorly understood. Herein, we sought to develop a novel clinical nomogram to predict ureteral stricture-free survival in patients suffering from ureter stricture and performed balloon dilation.

Methods
The nomogram was established based on a retrospective analysis of 321 patients who received endoscopic balloon dilation alone for ureter strictures from January 2016 to January 2020 in Sun Yat-sen Memorial Hospital using the Cox regression model. Perioperative clinical data and disease outcomes were analyzed. The primary endpoint was the onset of ureteral re-stricture after ureter balloon dilation. Discrimination of the nomogram was assessed by the concordance index (C-index) and the calibration curve. The results were internally validated using bootstrap resampling.

Results
Overall, 321 patients with a median follow-up of 590 days were enrolled in the study, among which 97 patients (30.2%) developed recurrence of ureteral stricture during follow-up. Five variables remained significant predictors of ureteral re-stricture after multivariable analyses: stricture nature (P < 0.001), urinary nitrite (P = 0.041), CKD (P = 0.005), stent retention time (P < 0.001), and balloon size (P = 0.029). The calibration craves for the probability of 1-, 3-, and 5-years stricture-free survival (SFS) presented satisfied with the consistency of nomogram prediction and actual observation. The C-index of the model was 0.74 (95% CI 0.70–0.79).

Conclusions
Our study developed the first nomogram to effectively predict stricture-free survival in patients suffering from ureter stricture after balloon dilation. It is helpful to identify the optimal patients with ureter stricture for balloon dilation and improve treatment outcomes. However, further external validation of the nomogram is warranted.
Clinical relevance of interdental papilla biopsy in chronic erosive gingivitis (desquamative gingivitis): retrospective bicentric study of 148 specimens
Authors: Gaultier Frédérick , Ejeil Anne-laure , Jungo Sébastien , Ingen-Housz-Oro Saskia , de Clatigny François Le Pelletier , Bruno Gogly , Pirnay Philippe , Bellakhdar Fadel , Dridi Sophie-Myriam 
Published: September 2021

Abstract
Background
Chronic erosive gingivitis, also called desquamative gingivitis, defines a clinical picture that can be generated by several inflammatory and immune diseases. Pathology is therefore essential for the differential diagnosis. However, when the gingival lesion is initial, exclusive or predominant, selecting the biopsy site and protocol may be problematic due to tissue fragility. Especially since there are few studies on the subject, the aim of our study was to assess the protocol, diagnostic relevance and tolerance of an original protocol using interdental papilla biopsy.

Methods
We conducted a retrospective bicentric study, from October 2011 to July 2019, including all patients with a chronic erosive gingivitis who had received, for diagnostic purposes, a interdental papilla biopsy.

Results
The contribution levels for the two hospital departments were 94.7% and 97.1%, respectively. No postoperative complication was recorded in the short or long term.

Conclusion
The interdental papilla biopsy protocol is perfectly adapted to the anatomopathological examinations required to establish differential diagnosis of chronic erosive gingivitis. This surgical protocol is simple to perform, non iatrogenic with a very good tolerance and and accessible to all clinicians. It is highly efficient with an excellent contribution level.
ClinicalTrials NCT04293718 (March 3, 2020). Health Data Hub N° F20201109083211 (November 9, 2020).
An automated data cleaning method for Electronic Health Records by incorporating clinical knowledge
Authors: Shi Xi , Prins Charlotte , Van Pottelbergh Gijs , Mamouris Pavlos , Vaes Bert , De Moor Bart 
Published: September 2021

Abstract
Background
The use of Electronic Health Records (EHR) data in clinical research is incredibly increasing, but the abundancy of data resources raises the challenge of data cleaning. It can save time if the data cleaning can be done automatically. In addition, the automated data cleaning tools for data in other domains often process all variables uniformly, meaning that they cannot serve well for clinical data, as there is variable-specific information that needs to be considered. This paper proposes an automated data cleaning method for EHR data with clinical knowledge taken into consideration.

Methods
We used EHR data collected from primary care in Flanders, Belgium during 1994–2015. We constructed a Clinical Knowledge Database to store all the variable-specific information that is necessary for data cleaning. We applied Fuzzy search to automatically detect and replace the wrongly spelled units, and performed the unit conversion following the variable-specific conversion formula. Then the numeric values were corrected and outliers were detected considering the clinical knowledge. In total, 52 clinical variables were cleaned, and the percentage of missing values (completeness) and percentage of values within the normal range (correctness) before and after the cleaning process were compared.

Results
All variables were 100% complete before data cleaning. 42 variables had a drop of less than 1% in the percentage of missing values and 9 variables declined by 1–10%. Only 1 variable experienced large decline in completeness (13.36%). All variables had more than 50% values within the normal range after cleaning, of which 43 variables had a percentage higher than 70%.

Conclusions
We propose a general method for clinical variables, which achieves high automation and is capable to deal with large-scale data. This method largely improved the efficiency to clean the data and removed the technical barriers for non-technical people.