bluuebunny/crossref_metadata_2025_split huggingface dataset:
Life negative events and depressive symptoms: the China longitudinal ageing social survey
Authors: Wang Zhenjie , Yang Hanmo , Zheng Pianpian , Liu Bei , Guo Zhanyuan , Geng Shen , Hong Shenda 
Published: June 2020

Abstract
Background
Although some studies have reported the association between life negative events and depressive disorders, very limited studies have examined the association between life negative events exposure and depressive symptoms risk among Chinese older adults.

Methods
Data were obtained from the China Longitudinal Ageing Social Survey (CLASS), which was a stratified, multi-stage, probabilistic sampling survey, conducted in 2014. General linear regression and logistic regression were used to examine the association between life negative events exposure and depressive symptoms among Chinese older adults.

Results
Life negative events showed statistical dose-response association with depressive symptoms risk after adjustment for the confounding factors (Ptrend < 0.001). Under consideration of life negative events exposure, participants who lived in rural areas, without a spouse or live alone were vulnerable to depressive symptoms.

Conclusions
Life negative events played a risk role of depressive symptoms among Chinese older adults, especially among those in rural areas, females or without a spouse. Our current study is valuable for the development of special prevention depressive symptoms programs among elderly individuals, especially those who have experienced negative events.
Cross-cultural adaptation and validation of the Arabic version of the functional index for hand osteoarthritis
Authors: Taik Fatima Zahrae , Tahiri Latifa , Rkain Hanan , Aachari Ilham , Maheu Emmanuel , Allali Fadoua 
Published: June 2020

Abstract
Background
The Functional Index of Hand Osteoarthritis (FIHOA) is a clinically and methodologically validated score used to assess functional impact in patients with hand osteoarthritis (OA). The aim of the study was to translate the FIHOA into classical Arabic, and to validate the psychometric properties of the translated version.

Methods
The FIHOA was translated into Arabic (FIHOA-AR) according to cross-cultural adaptation guidelines. The FIHOA-AR was administrated to patients diagnosed with hand OA according to the criteria of the American College of Rheumatology (ACR). A 5-day test-retest reliability and internal consistency study was performed using the intra-class correlation coefficient (ICC) and the Cronbach’s alpha coefficient. External validity was measured by correlations between FIHOA-AR, hand pain visual analog scale (VAS) and the Health Assessment Questionnaire (HAQ).

Results
The sample consisted of 101 patients with hand OA. The obtained ICC > 0.9 and Cronbach’s alpha of 0.93 indicated excellent reliability and internal consistency respectively. The evaluation of external validity showed strong correlation with hand pain VAS (r = 0.88, p < 0.001), and strong correlation with HAQ score (r = 0.86, p < 0.001).

Conclusion
The FIHOA-AR is a reliable and valid score to assess functional disability in Arabic- speaking patients with hand OA.
Psychometric evaluation of the child oral impacts on daily performances (C-OIDP) for use in Turkish primary school children: a cross sectional validation study
Authors: Peker Kadriye , Eden Ece , Ak Aslı Topaloğlu , Uysal Ömer , Bermek Gülçin 
Published: June 2020

Abstract
Background
As patient-reported outcome, the Child Oral Impacts on Daily Performances (C-OIDP) has been commonly used for assessing children’s oral health needs in order to facilitate oral health service planning. It was translated and cross-culturally adapted into Turkish in 2008. Since then, there is no study to assess its psychometric properties in Turkish child population. This cross–sectional study aimed to investigate the psychometric properties and factor structure of the Turkish version of the C-OIDP for use in Turkish primary school children.

Methods
The Turkish translated version was tested on a convenience sample of primary school children aged 11 to 12 years attending two public schools in Istanbul. Data were collected by clinical examinations, face-to-face interviews and self-completed questionnaires. The internal consistency, test–retest reliability, construct validity using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), criterion related validity (concurrent and discriminant) were evaluated.

Results
A total of 208 children were subjected to the tested the C-OIDP. Overall, 93.7% of them reported at least one oral impact in the last 3 months. The most frequently affected performances were “eating” (72.1%) and “cleaning mouth”, while the performance with the lowest impact was “studying” (13%). The internal consistency and reproducibility of the C-OIDP were acceptable, with a Cronbach’s alpha of 0.73 and an intra-class correlation coefficient of 0.83. The EFA yielded a two-factor model termed “functional limitation” and “psychosocial limitation”. CFA identified the two- factor model which fit the data better than the previously proposed three-factor model, namely physical, psychological and social health. Having malocclusion, the presence of gum disease, reported history of oral problems in the mouth, dissatisfaction with oral health, bad self-rated oral health and having a problem-oriented pattern of dental attendance were found to be the most important factors related to worse oral health- related quality of life, supporting its criterion–related validity.

Conclusion
This study provided preliminary evidence the psychometric properties of the C-OIDP index among Turkish school children aged 11–12 years. It may be applied to evaluate the oral health impact on quality of life in this population.
Development and maintenance of a medical education research registry
Authors: Wilhite Jeffrey A. , Altshuler Lisa , Zabar Sondra , Gillespie Colleen , Kalet Adina 
Published: June 2020

Abstract
Background
Medical Education research suffers from several methodological limitations including too many single institution, small sample-sized studies, limited access to quality data, and insufficient institutional support. Increasing calls for medical education outcome data and quality improvement research have highlighted a critical need for uniformly clean and easily accessible data. Research registries may fill this gap. In 2006, the Research on Medical Education Outcomes (ROMEO) unit of the Program for Medical Innovations and Research (PrMEIR) at New York University’s (NYU) Robert I. Grossman School of Medicine established the Database for Research on Academic Medicine (DREAM). DREAM is a database of routinely collected, de-identified undergraduate (UME, medical school leading up to the Medical Doctor degree) and graduate medical education (GME, residency also known as post graduate education leading to eligibility for specialty board certification) outcomes data available, through application, to researchers. Learners are added to our database through annual consent sessions conducted at the start of educational training. Based on experience, we describe our methods in creating and maintaining DREAM to serve as a guide for institutions looking to build a new or scale up their medical education registry.

Results
At present, our UME and GME registries have consent rates of 90% (n = 1438/1598) and 76% (n = 1988/2627), respectively, with a combined rate of 81% (n = 3426/4225). 7% (n = 250/3426) of these learners completed both medical school and residency at our institution. DREAM has yielded a total of 61 individual studies conducted by medical education researchers and a total of 45 academic journal publications.

Conclusion
We have built a community of practice through the building of DREAM and hope, by persisting in this work the full potential of this tool and the community will be realized. While researchers with access to the registry have focused primarily on curricular/ program evaluation, learner competency assessment, and measure validation, we hope to expand the output of the registry to include patient outcomes by linking learner educational and clinical performance across the UME-GME continuum and into independent practice. Future publications will reflect our efforts in reaching this goal and will highlight the long-term impact of our collaborative work.
Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison
Authors: Whichello Chiara , Levitan Bennett , Juhaeri Juhaeri , Patadia Vaishali , DiSantostefano Rachael , Pinto Cathy Anne , de Bekker-Grob Esther W. 
Published: June 2020

AbstractBackgroundIncorporating patient preference (PP) information into decision-making has become increasingly important to many stakeholders. However, there is little guidance on which patient preference assessment methods, including preference exploration (qualitative) and elicitation (quantitative) methods, are most suitable for decision-making at different stages in the medical product lifecycle (MPLC). This study aimed to use an empirical approach to assess which attributes of PP assessment methods are most important, and to identify which methods are most suitable, for decision-makers’ needs during different stages in the MPLC.MethodsA four-step cumulative approach was taken: 1) Identify important criteria to appraise methods through a Q-methodology exercise, 2) Determine numerical weights to ascertain the relative importance of each criterion through an analytical hierarchy process, 3) Assess the performance of 33 PP methods by applying these weights, consulting international health preference research experts and review of literature, and 4) Compare and rank the methods within taxonomy groups reflecting their similar techniques to identify the most promising methods.ResultsThe Q-methodology exercise was completed by 54 stakeholders with PP study experience, and the analytical hierarchy process was completed by 85 stakeholders with PP study experience. Additionally, 17 health preference research experts were consulted to assess the performance of the PP methods. Thirteen promising preference exploration and elicitation methods were identified as likely to meet decision-makers’ needs. Additionally, eight other methods that decision-makers might consider were identified, although they appeared appropriate only for some stages of the MPLC.ConclusionsThis transparent, weighted approach to the comparison of methods supports decision-makers and researchers in selecting PP methods most appropriate for a given application.
HealtheDataLab – a cloud computing solution for data science and advanced analytics in healthcare with application to predicting multi-center pediatric readmissions
Authors: Ehwerhemuepha Louis , Gasperino Gary , Bischoff Nathaniel , Taraman Sharief , Chang Anthony , Feaster William 
Published: June 2020

Abstract
Background
There is a shortage of medical informatics and data science platforms using cloud computing on electronic medical record (EMR) data, and with computing capacity for analyzing big data. We implemented, described, and applied a cloud computing solution utilizing the fast health interoperability resources (FHIR) standardization and state-of-the-art parallel distributed computing platform for advanced analytics.

Methods
We utilized the architecture of the modern predictive analytics platform called Cerner® HealtheDataLab and described the suite of cloud computing services and Apache Projects that it relies on. We validated the platform by replicating and improving on a previous single pediatric institution study/model on readmission and developing a multi-center model of all-cause readmission for pediatric-age patients using the Cerner® Health Facts Deidentified Database (now updated and referred to as the Cerner Real World Data). We retrieved a subset of 1.4 million pediatric encounters consisting of 48 hospitals’ data on pediatric encounters in the database based on a priori inclusion criteria. We built and analyzed corresponding random forest and multilayer perceptron (MLP) neural network models using HealtheDataLab.

Results
Using the HealtheDataLab platform, we developed a random forest model and multi-layer perceptron model with AUC of 0.8446 (0.8444, 0.8447) and 0.8451 (0.8449, 0.8453) respectively. We showed the distribution in model performance across hospitals and identified a set of novel variables under previous resource utilization and generic medications that may be used to improve existing readmission models.

Conclusion
Our results suggest that high performance, elastic cloud computing infrastructures such as the platform presented here can be used for the development of highly predictive models on EMR data in a secure and robust environment. This in turn can lead to new clinical insights/discoveries.
Factors associated with child health service delivery by female community health volunteers in Nepal: findings from a national survey
Authors: Bhattarai Hari Krishna , Khanal Pratik , Khanal Vishnu , Regmi Kiran , Paudel Narendra Raj , Dhakal Liladhar , Singh Samikshya 
Published: June 2020

Abstract
Background
Nepal has made a significant improvement in child survival in the last few decades and the involvement of female community health volunteers (FCHVs) has been crucial in such achievement. While there have been many studies on child health in Nepal however, rarely explored the status and factors associated with the child health service provided by these volunteers. This study aimed to identify the factors associated with the child health service delivery by FCHVs.

Methods
A national survey was conducted in 2014 in Nepal that included 4302 FCHVs using the structured questionnaire across the 13 geopolitical domains of the country. Factors associated with the use of child health services was examined using Chi-square test (χ2) followed by logistic regression.

Results
Overall, 62.6% of FCHVs provided at least one child health service. Those FCHVs who utilized money from the FCHV fund, conducted health mothers’ group meeting, involved in local committees and those who supported antenatal care and outreach clinics related activities had higher odds of providing child health services. Similarly, FCHVs equipped with the stock of Cotrimoxazole tablet, Zinc tablet, Oral Rehydration Salt packets were more likely to provide child health services. The province-wise analysis showed that FCHVs from Province 5 and Sudur Paschim Province were more likely to provide child health services compared to their counterparts from province 1. Technology-wise, FCHVs who were using mobile were more likely to provide child health services.

Conclusions
FCHVs are important human resource in providing child health services in Nepal. To improve child health service delivery by FCHVs; availability of key commodities, involvement of FCHVs in regular health mothers’ group meeting, use of mobile phone, involvement in other public health programs and social networks, and utilization of the FCHV fund need to be taken into consideration.
Effect of saroglitazar 2 mg and 4 mg on glycemic control, lipid profile and cardiovascular disease risk in patients with type 2 diabetes mellitus: a 56-week, randomized, double blind, phase 3 study (PRESS XII study)
Authors: Krishnappa Manjunath , Patil Kishor , Parmar Krupi , Trivedi Purav , Mody Nirali , Shah Chintan , Faldu Khushboo , Maroo Sanjay ,   for the PRESS XII study group, Desai Piyush , Fatania Kamlesh , Murthy Satyanarayan , Balamurugan R. , Agarwal Manish , Singh K. P. , Kalra G. S. , Khandelwal Vipul , Singwala Ashish , Thacker Hemant , Tulle Rahul , Rao Harish , Kumbla Mukund , Singh Parminder , Khatri Ashok , Agrawal Sumit , Sarkar R. N. , Agarwal Dinesh , Bhatia Girish , Agarwal R. P. , Kumar Surender , Vamsi Krishna P. R. , Ajmani Ajay Kumar , Asalkar Amit , Basu Indraneel , Chatterjee Sudip , Pavithran Vinod Kumar , Das Rupam , Dharmadhikari Aniruddha , Vardhan Vikram , Madusudhan Babu M. , Sengupta Nilanjan , Abkari Srirang , Harikrishna R. , Chovatia Rashmi , Parmar Deven 
Published: June 2020

AbstractBackgroundThe potential for PPAR agonists to positively affect risk of cardiovascular disease in patients with type 2 diabetes (T2DM) is of persistent attention. The PRESS XII study primarily aimed to evaluate the efficacy and safety of saroglitazar (2 mg and 4 mg) as compared to pioglitazone 30 mg on glycemic control in patients with type 2 diabetes mellitus.MethodsIn this randomized double-blind study, patients with T2DM [glycosylated hemoglobin (HbA1c) ≥ 7.5%] were enrolled from 39 sites in India. Patients received once-daily doses of either saroglitazar or pioglitazone (1:1:1 allocation ratio) for a total of 24 weeks. Patients were continued in a double blind extension period for an additional 32 weeks. Efficacy evaluations of glycemic parameters [HbA1c (Primary endpoint at week 24), FPG and PPG] and other lipid parameters (TG, LDL-C, VLDL-C, HDL-C, TC, Non HDL-C, Apo A1 and Apo B) were conducted at week 12, 24 and 56 and compared to the baseline levels. The efficacy analyses were performed by using paired t-test and ANCOVA model.ResultsA total of 1155 patients were enrolled in this study. The baseline characteristics were similar between the three treatment groups. The within group mean (± SD) change in HbA1c (%) from baseline of the saroglitazar (2 mg and 4 mg) and pioglitazone treatment groups at week 24 were: − 1.38 ± 1.99 for saroglitazar 2 mg; − 1.47 ± 1.92 for saroglitazar 4 mg and − 1.41 ± 1.86 for pioglitazone, respectively. Statistically significant reduction from baseline in HbA1c was observed in each treatment group at week 24 with p-value < 0.016. There was a significant reduction in TG, LDL-C, VLDL-C, TC and Non HDL-C with a significant increase in HDL-C from baseline levels (< 0.016). Most of the AE’s were ‘mild’ to ‘moderate’ in severity and were resolved by the completion of the study.ConclusionsSaroglitazar effectively improved glycemic control and lipid parameters over 56 weeks in patients of T2DM receiving background metformin therapy and has a promising potential to reduce the cardiovascular risk in T2DM patients.Trial registrationCTRI/2015/09/006203, dated 22/09/2015
MiR-223 regulates autophagy associated with cisplatin resistance by targeting FBXW7 in human non-small cell lung cancer
Authors: Wang Hui , Chen Jiabin , Zhang Shufen , Zheng Xiaoxiao , Xie Shangzhi , Mao Jiayan , Cai Ying , Lu Xuemei , Hu Liqiang , Shen Jian , Chai Kequn , Chen Wei 
Published: June 2020

Abstract
Background
Cisplatin is widely used as a first-line treatment for non-small cell lung cancer (NSCLC), but chemoresistance remains a major clinical obstacle for efficient use. As a microRNA, miR-223 was reported to promote the doxorubicin resistance of NSCLC. However, whether miR-223 is also involved in cisplatin resistance of NSCLC and the mechanism miR-223 involved in drug resistance is unclear. Accumulated evidence has shown that abnormal autophagy is associated with tumor chemoresistance. The study aimed to study the role of miR-223 on cisplatin sensitivity in NSCLC and uncover the potential mechanisms.

Methods
NSCLC cells transfected with mimic or inhibitor for miR-223 was assayed for chemoresistance in vitro. MiR-223 expression was assessed by quantitative real-time PCR (qRT-PCR). Western blot were used to study the expression level of F-box/WD repeat-containing protein 7 (FBXW7) and autophagy-related protein. The effect of miR-223 on cisplatin sensitivity was examined by using CCK-8, EdU assays and Autophagic flux assay. Luciferase assays, EdU assays and small interfering RNA were performed to identify the targets of miR-223 and the mechanism by which it promotes treatment resistance. Xenograft models were established to investigate the effect of mir-223 on cisplatin sensitivity.

Results
In the present study, we found that the level of miR-223 was significantly positively correlated with cisplatin resistance. MiR-223 overexpression made NSCLC cells resistant to cisplatin treatment. We further found that autophagy mediated miR-223-mediated cisplatin resistance in NSCLC cells. Further mechanistic research demonstrated that miR-223 directly targeted FBXW7. The overexpression of miR-223 could inhibit the level of FBXW7 protein expression, thus promoting autophagy and making NSCLC cells resistant to cisplatin. Finally, we confirmed the increased effect of cisplatin sensitivity by miR-223 Antagomir in xenograft models of NSCLC.

Conclusions
Our results demonstrate that miR-223 could enhance autophagy by targeting FBXW7 in NSCLC cells. Inhibition of autophagy by miR-223 knockdown provides a novel treatment strategy to alleviate cisplatin resistance in NSCLC.
Loop-mediated isothermal amplification (LAMP) test for diagnosis of uncomplicated malaria in endemic areas: a meta-analysis of diagnostic test accuracy
Authors: Selvarajah Denesh , Naing Cho , Htet Norah Htet , Mak Joon Wah 
Published: June 2020

AbstractBackgroundThe global malaria decline has stalled and only a few countries are pushing towards pre-elimination. The aim of the malaria elimination phase is interruption of local transmission of a specified malaria parasite in a defined geographical area. New and improved screening tools and strategies are required for detection and management of very low-density parasitaemia in the field. The objective of this study was to synthesize evidence on the diagnostic accuracy of loop-mediated isothermal amplification (LAMP) test for the detection of malaria parasites among people living in endemic areas.MethodsThis study adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis for Diagnostic Test Accuracy (PRISMA-DTA) guideline. Relevant studies in the health-related electronic databases were searched. According to the criteria set for this study, eligible studies were identified. The quality of included studies was evaluated with the use of a quality assessment checklist. A summary performance estimates such as pooled sensitivity and specificity were stratified by type of LAMP. Bivariate model for data analyses was applied. Summary receiver operating characteristics plots were created to display the results of individual studies in a receiver operating characteristics space. Meta-regression analysis was performed to investigate the sources of heterogeneity among individual studies.ResultsTwenty-seven studies across 17 endemic countries were identified. The vast majority of studies were with unclear risk of bias in the selection of index test. Overall, the pooled test performances were high forPanLAMP (sensitivity: 0.95, 95% CI 0.91 to 0.97; specificity: 0.98, 95% CI 0.95 to 0.99),Plasmodium falciparum(Pf) LAMP (sensitivity: 0.96, 95% CI 0.94 to 0.98; specificity: 0.99, 95% CI 0.96 to 1.00) or forPlasmodium vivax(Pv) LAMP from 6 studies (sensitivity: 0.98, 95% CI 0.92 to 0.99; specificity: 0.99, 95% CI 0.72 to 1.00). The area under the curve for Pan LAMP (0.99, 95% CI 0.98–1.00),PfLAMP (0.99, 95% CI 0.97–0.99) andPvLAMP was (1.00, 95% CI 0.98–1.00) indicated that the diagnostic performance of these tests were within the excellent accuracy range. Meta-regression analysis showed that sample size had the greatest impact on test performance, among other factors.ConclusionsThe current findings suggest that LAMP-based assays are appropriate for detecting low-level malaria parasite infections in the field and would become valuable tools for malaria control and elimination programmes. Future well-designed larger sample studies on LAMP assessment in passive and active malaria surveillances that use PCR as the reference standard and provide sufficient data to construct 2 × 2 diagnostic table are needed.