bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors influencing utilization of primary health care by elderly internal migrants in China: the role of social contacts
Authors: Lin Yanwei , Chu Chengjing , Chen Qin , Xiao Junhui , Wan Chonghua 
Published: July 2020

Abstract
Background
Utilization of primary health care is an important aspect of elderly internal migrants’ access to screening and preventive services in China. It has been evident that social contacts, such as community engagement, social mobilization, and the ability to communicate were related to health service delivery, but little has been done to explore the relationship between social contacts and utilization of primary health care for this group. This study aimed to explore the factors influencing utilization of primary health care from the perspective of social contacts among elderly internal migrants in China.

Methods
This was a cross-sectional study including 1544 elderly internal migrants in eight cities. Whether these indivdiuals had chosen to participate in the free health checkup organized in the previous year was adopted as an indicator of the utilization of primary health care. The number of local friends and amount of exercise time per day were measured as a proxy for social contacts. Multivariate binary logistic regression was used to investigate the association of social contacts with the likelihood of using primary health care.

Results
55.6% of the respondents were men, and the mean age was 66.34 years (SD, 5.94). 88.6% had received an education of high school or below. 12.9% had no local friends. 5.2% did not exercise. Just 33.1% had participated in a free medical check-up. Social contacts, age, and medical insurance were associated with more use of primary health care among elderly internal migrants in China.

Conclusion
The role of the community in promoting the use of primary health care should be expanded, such as creating community-based campaigns specifically targeting elderly internal migrants or designing social or sports activities tailored to increase the opportunity for contact between local elders and their internal migrant peers.
Estimation of the ideal correction of lumbar lordosis to prevent reoperation for symptomatic adjacent segment disease after lumbar fusion in older people
Authors: Wang Shan-Jin , Zhang Shu-Bao , Yi Yu-Yang , Xu Hao-Wei , Wu De-Sheng 
Published: July 2020

Abstract
Background
Symptomatic adjacent segment disease (ASDis) is a major complication following spinal fusion. Sagittal spinopelvic imbalance may contribute to the development of ASDis. However, the exact ideal correction of lumbar lordosis (LL) is unknown for different ages of people to prevent ASDis. The purpose of this study was to estimate the ideal correction of LL required to prevent symptomatic ASDis requiring revision surgery in patients of various ages, and to determine the radiographic risk factors for ASDis.

Methods
468 patients who underwent lumbar fusion between January 2014 and December 2016, were enrolled in the present study. The patients were classified into the ASDis and N-ASD group. These two matched groups were compared regarding surgery-related factors and radiographic features. Multivariate logistic regression analysis was used to evaluate the risk factors for ASDis.

Results
Sixty-two patients (13.25%) underwent reoperation for ASDis during a mean follow-up duration of 38.07 months. Receiver operating characteristic curve analysis showed that the postoperative LL - preoperative LL (△LL) cutoff value was 11.7°for the development of ASDis. Logistic regression analysis revealed that the risk factors for symptomatic ASDis were a smaller LL angle, △LL > 12°, and PI-LL > 10° (p <  0.05). For patients > 60 years, the incidence of ASDis was higher in patients with a LL correction of ≥10° and a lumbar-pelvic mismatch (PI-LL) of > 20°.

Conclusions
The significant predictors of the occurrence of ASDis were a smaller LL angle, △LL > 12°, and PI-LL > 10°. However, in patients older than 60 years, the incidence of ASDis after lumbar fusion was higher in those with a LL correction of ≥10° and PI-LL of > 20°. More attention should be paid to patient age and the angle of correction of LL before lumbar fusion.
Systematic review of the tools of oral and dental health literacy: assessment of conceptual dimensions and psychometric properties
Authors: Ghaffari Mohtasham , Rakhshanderou Sakineh , Ramezankhani Ali , Mehrabi Yadollah , Safari-Moradabadi Ali 
Published: July 2020

Abstract
Background
This article aims to provide a description of conceptual dimensions and psychometric properties of the tools of oral and dental health literacy.

Methods
Two authors in this study conducted electronic searches in the Medline (via PubMed), and Embase databases to find relevant articles from 1990 to present day. Evaluation of the tools was carried out in two parts; general evaluation of the tools using skills introduced by Sørensen et al., and qualitative assessment of psychometric properties using COSMIN checklist.

Results
After reviewing 1839 articles on oral and dental health literacy and evaluating 33 full text articles for eligibility, 21 articles entered the study. The sample size varied from 20 to 1405 subjects and the items of each tool ranged from 11 to 99 items. Of the 21 tools examined, 16 tools were evaluated for word recognition. For the studies examined, the evaluation of COSMIN scores was often fair or good. Of the 21 tools examined, 9 tools at least in one dimension were in the category of “poor”, 19 tools were in the category of “fair”, 20 tools were in the category of “good”, and 4 tools were in the category of “excellent” in at least one dimension.

Conclusion
The findings of this study showed that some aspects of oral and dental health literacy are being ignored in the existing tools. Therefore, the authors of present study emphasize on the necessity to design and develop a comprehensive tool and take into account two characteristics of simplicity and briefness for international use.
Temporospatial shifts within commercial laboratory mouse gut microbiota impact experimental reproducibility
Authors: Mandal Rabindra K. , Denny Joshua E. , Waide Morgan L. , Li Qingsheng , Bhutiani Neal , Anderson Charles D. , Baby Becca V. , Jala Venkatakrishna R. , Egilmez Nejat K. , Schmidt Nathan W. 
Published: July 2020

Abstract
Background
Experimental reproducibility in mouse models is impacted by both genetics and environment. The generation of reproducible data is critical for the biomedical enterprise and has become a major concern for the scientific community and funding agencies alike. Among the factors that impact reproducibility in experimental mouse models is the variable composition of the microbiota in mice supplied by different commercial vendors. Less attention has been paid to how the microbiota of mice supplied by a particular vendor might change over time.

Results
In the course of conducting a series of experiments in a mouse model of malaria, we observed a profound and lasting change in the severity of malaria in mice infected with Plasmodium yoelii; while for several years mice obtained from a specific production suite of a specific commercial vendor were able to clear the parasites effectively in a relatively short time, mice subsequently shipped from the same unit suffered much more severe disease. Gut microbiota analysis of frozen cecal samples identified a distinct and lasting shift in bacteria populations that coincided with the altered response of the later shipments of mice to infection with malaria parasites. Germ-free mice colonized with cecal microbiota from mice within the same production suite before and after this change followed by Plasmodium infection provided a direct demonstration that the change in gut microbiota profoundly impacted the severity of malaria. Moreover, spatial changes in gut microbiota composition were also shown to alter the acute bacterial burden following Salmonella infection, and tumor burden in a lung tumorigenesis model.

Conclusion
These changes in gut bacteria may have impacted the experimental reproducibility of diverse research groups and highlight the need for both laboratory animal providers and researchers to collaborate in determining the methods and criteria needed to stabilize the gut microbiota of animal breeding colonies and research cohorts, and to develop a microbiota solution to increase experimental rigor and reproducibility.
Real-time tracking of stem cell viability, proliferation, and differentiation with autonomous bioluminescence imaging
Authors: Conway Michael , Xu Tingting , Kirkpatrick Andrew , Ripp Steven , Sayler Gary , Close Dan 
Published: July 2020

AbstractBackgroundLuminescent reporter proteins are vital tools for visualizing cells and cellular activity. Among the current toolbox of bioluminescent systems, only bacterial luciferase has genetically defined luciferase and luciferin synthesis pathways that are functional at the mammalian cell temperature optimum of 37 °C and have the potential for in vivo applications. However, this system is not functional in all cell types, including stem cells, where the ability to monitor continuously and in real-time cellular processes such as differentiation and proliferation would be particularly advantageous.ResultsWe report that artificial subdivision of the bacterial luciferin and luciferase pathway subcomponents enables continuous or inducible bioluminescence in pluripotent and mesenchymal stem cells when the luciferin pathway is overexpressed with a 20–30:1 ratio. Ratio-based expression is demonstrated to have minimal effects on phenotype or differentiation while enabling autonomous bioluminescence without requiring external excitation. We used this method to assay the proliferation, viability, and toxicology responses of iPSCs and showed that these assays are comparable in their performance to established colorimetric assays. Furthermore, we used the continuous luminescence to track stem cell progeny post-differentiation. Finally, we show that tissue-specific promoters can be used to report cell fate with this system.ConclusionsOur findings expand the utility of bacterial luciferase and provide a new tool for stem cell research by providing a method to easily enable continuous, non-invasive bioluminescent monitoring in pluripotent cells.
Comparison of three small-area mortality metrics according to urbanity in Korea: the standardized mortality ratio, comparative mortality figure, and life expectancy
Authors: Kim Ikhan , Lim Hwa-Kyung , Kang Hee-Yeon , Khang Young-Ho 
Published: July 2020

Abstract
Background
This study aimed to compare three small-area level mortality metrics according to urbanity in Korea: the standardized mortality ratio (SMR), comparative mortality figure (CMF), and life expectancy (LE) by urbanity.

Methods
We utilized the National Health Information Database to obtain annual small-area level age-specific numbers of population and deaths in Korea between 2013 and 2017. First, differences in the SMR by urbanity were examined, assuming the same age-specific mortality rates in all small areas. Second, we explored the differences in ranking obtained using the three metrics (SMR, CMF, and LE). Third, the ratio of CMF to SMR by population was analyzed according to urbanity.

Results
We found that the age-specific population distributions in urbanized areas were similar, but rural areas had a relatively old population structure. The age-specific mortality ratio also differed by urbanity. Assuming the same rate of age-specific mortality across all small areas, we found that comparable median values in all areas. However, areas with a high SMR showed a strong predominance of metropolitan areas. The ranking by SMR differed markedly from the rankings by CMF and LE, especially in areas of high mortality, while the latter two metrics did not differ notably. The ratio of CMF to SMR showed larger variations in small areas in rural areas, particularly in those with small populations, than in metropolitan and urban areas.

Conclusions
In a comparison of multiple SMRs, bias could exist if the study areas have large differences in population structure. The use of CMF or LE should be considered for comparisons if it is possible to acquire age-specific mortality data for each small area.
ICON: a randomized phase IIb study evaluating immunogenic chemotherapy combined with ipilimumab and nivolumab in patients with metastatic hormone receptor positive breast cancer
Authors: Kyte J. A. , Andresen N. K. , Russnes H. G. , Fretland S. Ø. , Falk R. S. , Lingjærde O. C. , Naume B. 
Published: July 2020

Abstract
Background
Immunotherapy with checkpoint inhibitors (CPI) targeting PD-1 or CTLA-4 has emerged as an important treatment modality for several cancer forms. In hormone receptor positive breast cancer (HR + BC), this therapeutic approach is largely unexplored. We have started a clinical trial, ICON (CA209-9FN), evaluating CPI combined with selected chemotherapy in patients with metastatic HR + BC. The tumor lymphocyte infiltration is predictive for the effect of chemotherapy in BC. In ICON, we use anthracycline, which are considered as “immunogenic” chemotherapy, and low-dose cyclophosphamide, which has been reported to counter immunosuppressive cells.

Methods
ICON is a randomized exploratory phase IIb study evaluating the safety and efficacy of combining nivolumab (nivo; anti-PD-1) and ipilimumab (ipi; anti-CTLA-4) with chemotherapy in subjects with metastatic HR + BC. Primary objectives are aassessment of toxicity and progression-free survival. The trial will enrol 75 evaluable subjects, randomized 2:3 into two arms (A:B). Patients in Arm A receive only chemotherapy, i.e. pegylated liposomal doxorubicin (PLD 20 mg/m2 intravenously every 2nd week) + cyclophosphamide (cyclo; 50 mg per day, first 2 weeks in each 4 week cycle). Patients in Arm B receive PLD + cyclo + ipilimumab (1 mg intravenously every 6th week) + nivolumab (240 mg intravenously every 2nd week). Patients in arm A will be offered ipi + nivo after disease progression.

Discussion
ICON is among the first clinical trials combining chemotherapy with PD-1 and CTLA-4 blockade, and the first in BC. There is a strong preclinical rationale for exploring if anthracyclines, which are considered to induce immunogenic cell death, synergize with CPI, and for combining PD-1 and CTLA-4 blockade, as these checkpoints are important in different phases of the immune response. If the ICON trial suggests acceptable safety and provide a signal of clinical efficacy, further studies are warranted. The cross-over patients from Arm A receiving ipilimumab/nivolumab without concomitant chemotherapy represent the first BC cohort receiving this therapy. The ICON trial includes a series of translational sub-projects addressing clinically important knowledge gaps. These studies may uncover biomarkers or mechanisms of efficacy and resistance, thereby informing the development of novel combinatory regimes and of personalised biomarker-based therapy.
Trial registration NCT03409198, Jan 24th 2018; https://clinicaltrials.gov/ct2/show/record/NCT03409198
The timeline and risk factors of clinical progression of COVID-19 in Shenzhen, China
Authors: Wang Fang , Qu Mengyuan , Zhou Xuan , Zhao Kai , Lai Changxiang , Tang Qiyuan , Xian Wenjie , Chen Ruikun , Li Xuan , Li Zhiyu , He Qing , Liu Lei 
Published: July 2020

Abstract
Background
The novel coronavirus disease 2019 (COVID-19) broke out globally. Early prediction of the clinical progression was essential but still unclear. We aimed to evaluate the timeline of COVID-19 development and analyze risk factors of disease progression.

Methods
In this retrospective study, we included 333 patients with laboratory-confirmed COVID-19 infection hospitalized in the Third People’s Hospital of Shenzhen from 10 January to 10 February 2020. Epidemiological feature, clinical records, laboratory and radiology manifestations were collected and analyzed. 323 patients with mild-moderate symptoms on admission were observed to determine whether they exacerbated to severe-critically ill conditions (progressive group) or not (stable group). We used logistic regression to identify the risk factors associated with clinical progression.

Results
Of all the 333 patients, 70 (21.0%) patients progressed into severe-critically ill conditions during hospitalization and assigned to the progressive group, 253 (76.0%) patients belonged to the stable group, another 10 patients were severe before admission. we found that the clinical features of aged over 40 (3.80 [1.72, 8.52]), males (2.21 [1.20, 4.07]), with comorbidities (1.78 [1.13, 2.81]) certain exposure history (0.38 [0.20, 0.71]), abnormal radiology manifestations (3.56 [1.13, 11.40]), low level of T lymphocytes (0.99 [0.997, 0.999]), high level of NLR (0.99 [0.97, 1.01]), IL-6 (1.05 [1.03, 1.07]) and CRP (1.67 [1.12, 2.47]) were the risk factors of disease progression by logistic regression.

Conclusions
The potential risk factors of males, older age, with comorbidities, low T lymphocyte level and high level of NLR, CRP, IL-6 can help to predict clinical progression of COVID-19 at an early stage.
A systematic review of global health capacity building initiatives in low-to middle-income countries in the Middle East and North Africa region
Authors: Naal Hady , El Koussa Maria , El Hamouch Melissa , Hneiny Layal , Saleh Shadi 
Published: July 2020

AbstractIntroductionLow-and Middle-Income Countries (LMICs) in the Middle East and North Africa (MENA) region are facing increasing global health challenges with a reduced ability to manage them. Global Health Capacity Building (GHCB) initiatives have the potential to improve health workforce performance and health outcomes, however little is known about the GHCB topics and approaches implemented in this region. This is the first systematic review of GHCB initiatives among LMICs in the MENA region.MethodsAn academic database search of Medline (OVID), PubMed, Scopus,Embase.com, and Open Grey was conducted for articles published between January 2009 and September 2019 in English. Next, a grey literature search following a recommended search framework was conducted. Reviewed records addressed a global health topic, had a capacity building component, looked at specific learning outcomes, and reflected an LMIC in the MENA. Primary outcomes included country, topic, modality, pedagogy, and population.ResultsReports of GHCB initiatives were retrieved from grey sources (73.2%) and academic sources (26.8%). Most GHCB initiatives were mainly conducted face-to-face (94.4%) to professional personnel (57.5%) through a theoretical pedagogical approach (44.3%). Dominant global health themes were non-communicable diseases (29.2%), sexual and reproductive health (18.4%), and mental health (14.5%). When matched against the Global Burden of Disease data, important gaps were found regarding the topics of GHCB initiatives in relation to the region’s health needs. There were limited reports of GHCB initiatives addressing conflict and emergency topics, and those addressing non-communicable disease topics were primarily reported from Egypt and Iran.ConclusionInnovative and practicum-based approaches are needed for GHCB initiatives among LMICs in the MENA region, with a focus on training community workers. Regional and country-specific analyses of GHCB initiatives relative to their health needs are discussed in the manuscript based on the results of this review.
Single-cell ATAC-seq signal extraction and enhancement with SCATE
Authors: Ji Zhicheng , Zhou Weiqiang , Hou Wenpin , Ji Hongkai 
Published: July 2020

AbstractSingle-cell sequencing assay for transposase-accessible chromatin (scATAC-seq) is the state-of-the-art technology for analyzing genome-wide regulatory landscapes in single cells. Single-cell ATAC-seq data are sparse and noisy, and analyzing such data is challenging. Existing computational methods cannot accurately reconstruct activities of individual cis-regulatory elements (CREs) in individual cells or rare cell subpopulations. We present a new statistical framework, SCATE, that adaptively integrates information from co-activated CREs, similar cells, and publicly available regulome data to substantially increase the accuracy for estimating activities of individual CREs. We demonstrate that SCATE can be used to better reconstruct the regulatory landscape of a heterogeneous sample.
Quantile normalization of single-cell RNA-seq read counts without unique molecular identifiers
Authors: Townes F. William , Irizarry Rafael A. 
Published: July 2020

AbstractSingle-cell RNA-seq (scRNA-seq) profiles gene expression of individual cells. Unique molecular identifiers (UMIs) remove duplicates in read counts resulting from polymerase chain reaction, a major source of noise. For scRNA-seq data lacking UMIs, we propose quasi-UMIs: quantile normalization of read counts to a compound Poisson distribution empirically derived from UMI datasets. When applied to ground-truth datasets having both reads and UMIs, quasi-UMI normalization has higher accuracy than competing methods. Using quasi-UMIs enables methods designed specifically for UMI data to be applied to non-UMI scRNA-seq datasets.
On new fractional integral inequalities for p-convexity within interval-valued functions
Authors: Abdeljawad Thabet , Rashid Saima , Khan Hasib , Chu Yu-Ming 
Published: July 2020

AbstractThis work mainly investigates a class of convex interval-valued functions via the Katugampola fractional integral operator. By considering thep-convexity of the interval-valued functions, we establish some integral inequalities of the Hermite–Hadamard type and Hermite–Hadamard–Fejér type as well as some product inequalities via the Katugampola fractional integral operator. In addition, we compare our results with the results given in the literature. Applications of the main results are illustrated by using examples. These results may open a new avenue for modeling, optimization problems, and fuzzy interval-valued functions that involve both discrete and continuous variables at the same time.
Towards a typology of local migration diversity policies
Authors: van Breugel Ilona 
Published: July 2020

AbstractThis paper contributes to the migration studies literature by a comparative analysis of local migration diversity governance in large, mid-sized and small cities, analysing the broader scope of the local dimension of migration-diversity policies. While a ‘local turn’ has taken place in migration studies over the past two decades, the literature has primarily focused on capital and gateway cities. Yet immigrants arrive and settle in a much wider range of cities. Little is known about what forms migration-diversity governance across cities of different sizes and positions. This paper therefore conducts a comparative analysis of migration diversity governance across the local dimension. Based on a qualitative, comparative analysis of migration diversity policies in 16 Dutch municipalities between 2014 and 2018, I distinguish between different local migration diversity policy approaches: ‘proactive pluralist’, ‘proactive monist’, ‘reactive embedded’ and ‘reactive one-domain’. This illustrates the variety of local approaches to migration diversity and thus argues against ‘a local dimension’ of migration diversity governance, rather arguing for different types of local approaches. The proactive cities explicitly chose their own framing for their migration diversity policies, in contradiction to the supposed ‘paradigmatic’ character of the local level, instead showing that cities position their own framing of migration diversity. The types of migration diversity policies I distinguish provide an analytical framework and starting point for further research on the variety of local migration diversity approaches.