bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research transparency promotion by surgical journals publishing randomised controlled trials: a survey
Authors: Lombard Nicolas , Gasmi Anis , Sulpice Laurent , Boudjema Karim , Naudet Florian , Bergeat Damien 
Published: September 2020

Abstract
Objective: To describe surgical journals’ position statements on data-sharing policies (primary objective) and to describe key features of their research transparency promotion.Methods: Only “SURGICAL” journals with an impact factor higher than 2 (Web of Science) were eligible for the study. They were included, if there were explicit instructions for clinical trial publication in the official instructions for authors, (OIA) and or if they had published randomized controlled trial (RCT) between 1st January 2016 and 31st December 2018. The primary outcome was the existence of a data-sharing policy included in the instructions for authors. Data sharing policies were grouped into 3 categories, inclusion of data sharing policy mandatory, optional or not available. Details on research transparency promotion were also collected, namely the existence of a “prospective registration of clinical trials requirement policy”; a conflict of interests (COIs) disclosure requirement and a specific reference to reporting guidelines, such as CONSORT for RCT. Results: Among the 87 surgical journals identified, 82 were included in the study: 67 (82%) had explicit instructions for RCT and the remaining 15 (18%) had published at least one RCT. The median impact factor was 2.98 [IQR=2.48-3.77] and in 2016 and 2017, the journals published a median of 11.5 RCT [IQR=5-20.75]. The OIA of four journals (5%) stated that the inclusion of a data sharing statement was mandatory, optional in 45% (n=37), and not included in 50% (n=41).No association was found between journal characteristics and the existence of data-sharing policies (mandatory or optional). A “prospective registration of clinical trials requirement” was associated with International Committee of Medical Journal Editors (ICMJE) allusion or affiliation and higher impact factors. Journals with specific RCT instructions in their OIA and journals referenced on the ICMJE website more frequently mandated the use of CONSORT guidelines. Conclusion: Research transparency promotion is still limited in surgical journals. Standardisation of journal requirements according to ICMJE guidelines could be a first step forward for research transparency promotion in surgery.
The incidence of stroke among selected patients undergoing elective posterior lumbar fusion: a retrospective cohort study
Authors: Arena Patrick J , Mo Jingping , Sabharwal Charu , Begier Elizabeth , Zhou Xiaofeng , Gurtman Alejandra , Liu Qing , Shen Rongjun , Wentworth Charles , Huang Kui 
Published: September 2020

Abstract
Background: Although stroke is a rare complication among spinal surgery patients, the recognition of this adverse event is critical given the aging population undergoing surgical procedures. The objective of this study was to estimate the incidence of stroke among selected adults undergoing elective posterior lumbar fusion (PLF) during various post-operative risk windows and among different subgroups.Methods: A retrospective cohort study using a longitudinal electronic healthcare record (EHR) database was conducted from January 1, 2007 to June 30, 2018. Elective PLF, stroke, and select clinical characteristics were defined based on International Classification of Disease codes. Patients aged 18 to 85 years with ≥ 183 days of enrollment in the database prior to undergoing elective PLF were followed from the index date until the occurrence of stroke, death, loss to follow-up, or end of study period, whichever occurred first. The incidence of stroke was estimated in the following risk windows: index hospitalization, ≤ 30 days, ≤ 90 days, ≤ 180 days, and ≤ 365 days post-operationResults: A total of 43,063 patients were eligible for the study. The incidence of stroke following elective PLF was 0.29% (95% confidence interval [CI]: 0.25%, 0.35%) during index hospitalization, 0.44% (95% CI: 0.38%, 0.50%) ≤ 30 days, 0.59% (95% CI: 0.52%, 0.67%) ≤ 90 days, 0.76% (95% CI: 0.68%, 0.85%) ≤ 180 days, and 1.12% (95% CI: 1.03%, 1.23%) ≤ 365 days post-operation. Stratified analyses revealed that older patients had a higher incidence of stroke. Additionally, black patients had higher stroke incidences. Post-operative stroke incidence was higher among patients with a history of type 2 diabetes than among patients without such history; similarly, stroke incidence was higher among patients with a history of stroke compared to patients without such history.Conclusions: The incidence of stroke following elective PLF using an EHR database in this study is slightly higher than that reported in the literature. Our results suggest that stroke risk modification prior to PLF may be important for patients who are older, black, type 2 diabetic, and/or have a history of stroke.
Statistical Stopping Criteria for Automated Screening in Systematic Reviews
Authors: Callaghan Max , Müller-Hansen Finn 
Published: September 2020

Abstract
Active learning for systematic review screening promises to reduce the human effort required to identify relevant documents for a systematic review. Machines and humans work together, with humans providing training data, and the machine optimising the documents that the humans screen. This enables the identification of all relevant documents after viewing only a fraction of the total documents. However, current approaches lack effective stopping criteria, so that reviewers do not know when they have seen all or a certain proportion of relevant documents. This means that such systems are hard to implement in live reviews. This paper introduces a workflow with flexible statistical stopping criteria, which offer real work reductions on the basis of a given confidence level of reaching a given recall. The stopping criteria are shown on test datasets to achieve a reliable level of recall, while still providing work reductions of on average 17\%. Other methods proposed previously are shown to provide inconsistent recall and work reductions across datasets.
Interventions for prudent antibiotic use in primary healthcare: An econometric analysis
Authors: Lampi Elina , Carlsson Fredrik , Sundvall Pär-Daniel , Torres Marcela Jaime , Ulleryd Peter , Åhrén Christina , Jacobsson Gunnar 
Published: September 2020

Abstract
Background

Rational antibiotic prescribing is crucial to combat antibiotic resistance. Optimal strategies to improve antibiotic use are not known. Strama, the Swedish strategic program against antibiotic resistance, has been successful in reducing antibiotic prescription rates. This study investigates whether two specific interventions directed toward healthcare centers, an informational visit and a self-evaluation meeting, played a role in observed reduction in rates of antibiotic prescriptions in primary healthcare.

Methods

The study was a retrospective, observational, empirical analysis exploiting the variation in the timing of the interventions and considering past prescriptions through use of estimations from dynamic panel data models. Primary healthcare data from 2011 to 2014 were examined. Data were from public and private primary healthcare centers in western Sweden. The key variables were prescription of antibiotics and indicator variables for the two interventions.

Results

The first intervention, an educational information intervention, decreased the number of prescriptions among public healthcare centers, but this effect was only temporary. We found no proof that the second intervention, a self-evaluation meeting at the healthcare center, had an impact on the reduction of prescriptions.

Conclusions

Single educational interventions aimed at influencing rates of antibiotic prescriptions have limited impact. A multifaceted approach is needed in efforts to reduce the use of antibiotics in primary health care.
A data-driven approach to a chemotherapy recommendation model based on deep learning for patients with colorectal cancer in Korea
Authors: Park Jinhyeok , Lee KangYoon , Baek Jeong-Heum , Lee Youngho 
Published: September 2020

Abstract
Background: Clinical Decision Support Systems (CDSSs) have recently attracted attention as a method for minimizing medical errors. Existing CDSSs are limited in that they do not reflect actual data. To overcome this limitation, we propose a CDSS based on deep learning.Methods: We propose the Colorectal Cancer Chemotherapy Recommender (C3R), which is a deep learning-based chemotherapy recommendation model. Our model improves on existing CDSSs in which data-based decision making is not well supported. C3R is configured to study the clinical data collected at the Gachon Gil Medical Center and to recommend appropriate chemotherapy based on the data. To validate the model, we compared the treatment concordance rate with the National Comprehensive Cancer Network (NCCN) Guidelines, a representative set of cancer treatment guidelines, and with the results of the Gachon Gil Medical Center’s Colorectal Cancer Treatment Protocol (GCCTP). Results: For the CR3 model, the treatment concordance rates with the NCCN guidelines were 70.5% for Top-1 Accuracy and 84% for Top-2 Accuracy. The treatment concordance rates with the GCCTP were 57.9% for Top-1 Accuracy and 77.8% for Top-2 Accuracy. Conclusions: This model is significant, i.e., it is the first colon cancer treatment clinical decision support system in Korea that reflects actual data. In the future, if sufficient data can be secured through cooperation among multiple organizations, more reliable results can be obtained.
The prevalence and immunological features of anti-glomerular basement membrane antibody in patients with HIV
Authors: Wang Wenjing , Jia Xiao-yu Jia , Cui Zhao , Chen Yan , Wang Wei , Lou Jin-li , Zhao Ming-hui , Ying Sun 
Published: September 2020

Abstract
Background: Anti-glomerular basement membrane disease (GBM) is an autoimmune disease caused by the deposition of circulating anti-GBM antibodies. Non-collagen region of α3 chain of type IV collagen (α3(IV)NC1) is one of the main target antigens, in which EA and EB are the most classical antigen epitopes. It has been reported that anti-GBM antibodies can be detected in HIV patients; however, its immunological characteristics are still unclear. Objectives: In this study, the positive rate of the anti-GBM antibodies in HIV and the immunological characteristics of the target antigens were clarified. Methods: A total of 93 HIV patients diagnosed in Beijing Youan Hospital from November 2017 to January 2018 were included. Enzyme-linked immunosorbent assay was used to measure the serum IgG autoantibodies specifically against GBM in these patients, as well as their subtypes and antigen spectra.Results: It was found that five out of the 93 patients with HIV had low to moderate levels of anti-GBM antibodies. However, these patients presented with no clinical manifestation of any kidney injury or pulmonary hemorrhages. Compared with HIV patients with negative antibodies, there were no significant differences in gender, age, CD4+T cell count and HIV viral load. All sera of five patients recognized non-collagenous domain1 (NC1) of alpha 3 chain of type IV collagen [(α3(IV)NC1] as classic anti-GBM patients, followed by α5(IV)NC1. The antibodies against α3(IV)NC1 were IgG3 predominant, while these antibodies did not react with either of the classic epitopes on α3 (EA and EB).Conclusion: These data suggest a distinct immunological profile of anti-GBM antibodies in patients with HIV, and might explain the non-pathogenic features of HIV associated anti-GBM antibodies.
Magnitude of Turnover Intention and Associated Factors Among Nurses Working in Emergency Departments of Governmental Hospitals in Addis Ababa, Ethiopia: A cross sectional institutional based study.
Authors: Aniley Andualem Wubetie , Taye Biniyam , Girma Biruk 
Published: September 2020

Abstract
Background: Turnover intention is a probability of an employee to leave the current institution within a certain period due to various factors. It is the strongest predictor of actual turnover expected to increase as the intention increases. Emergency Department (ED) nurses are especially vulnerable to turnover because of their increased potential for developing burnout and compassion fatigue with the work environment has a great role. The aim of this study was to assess nurses’ intention to leave their current health institution and associated factors in emergency departments of selected governmental hospitals in Addis Ababa, Ethiopia.Methods: Institutional based cross-sectional study was conducted on 102 nurses in three selected governmental hospitals, Addis Ababa from February 19 to March 31, 2018, using a structured pre-tested self-administered questionnaire. Logistic regression model was used and adjusted odds ratio with a 95% confidence interval was calculated to identify associated factors.Result: A total of 102 respondents were involved with a response rate of 91.1%. Among them, 79 (77.5%) respondents had the intention to leave the current working unit of the emergency department or hospital. Significant predictive factors of nurses' intention to leave their institutions are educational status (adjusted odds ratio (OR) =4.700, 95% confidence interval (CI)=1.033- 50.772; p<0.048), monthly income of less than 3145 Birr (adjusted OR=6.05, 95% CI=1.056-34.641; p<0.043) and professional autonomy (adjusted OR=0.191, 95% CI=0.040- 0.908; p<0.037).Conclusion: More than 77% of the respondents has intention to leave their current working place of emergency unit. Educational status, monthly income and autonomy were significantly associated with emergency nurses’ turnover intention in three governmental hospitals. Emergency leaders and hospital managers should have made efforts to enhance nurses' decision making for patient care activities and shared decision overwork or unit related activities.
Genome-wide identification and expression analysis of the calmodulin-binding transcription activator (CAMTA) gene family in wheat (Triticum aestivum L.)
Authors: Yang Fan , Dong Fushuang , Hu Fanghui , Liu Yongwei , Chai Jianfang , Zhao He , Lv Mengyu , Zhou Shou 
Published: September 2020

Abstract
Background: Plant calmodulin-binding transcription activator (CAMTA) proteins play important roles in hormone signal transduction, developmental regulation, and environmental stress tolerance. However, in wheat, the CAMTA gene family has not been systematically characterized. Results: In this work, 15 wheat CAMTA genes were identified using a genome-wide search method. Their chromosome location, physicochemical properties, subcellular localization, gene structure, protein domain, and promoter cis-elements were systematically analyzed. Phylogenetic analysis classified the TaCAMTA genes into three groups (groups A, B, and C), numbered 7, 6, and 2, respectively. The results showed that most TaCAMTA genes contained stress-related cis-elements. Finally, to obtain tissue-specific and stress-responsive candidates, the expression profiles of the TaCAMTAs in various tissues and under biotic and abiotic stresses were investigated. Tissue-specific expression analysis showed that all of the 15 TaCAMTA genes were expressed in multiple tissues with different expression levels, as well as under abiotic stress, the expressions of each TaCAMTA gene could respond to at least one abiotic stress. It also found that 584 genes in wheat genome were predicted to be potential target genes by CAMTA, demonstrating that CAMTA can be widely involved in plant development and growth, as well as coping with stresses. Conclusions: This work systematically identified the CAMTA gene family in wheat at the whole-genome-wide level, providing important candidates for further functional analysis in developmental regulation and the stress response in wheat.
Validity and reliability of a simplified food frequency questionnaire: A cross sectional study among physical health examination adults in southwest region of China
Authors: Cheng Zhengyan , Shuai Ping , Qiao Qichuan , Li Tingxin 
Published: September 2020

Abstract
Background: In China, many people are regarded suitable for participating in regular physical examination for diagnosis and prevention of diseases. Some simplified food frequency questionnaires have been designed and used; however, the accuracy of the questionnaire is absent. This study aimed to examine the reliability and validity of simplified food frequency questionnaire (SFFQ) used among adults undergoing physical examination in southwest region of China.Methods: This was a cross-sectional study conducted among physical health examination adults in the Southwest region of China. A total of 239 participants aged 20-65 were included from February 2019 to June 2019. The performance of SFFQ was evaluated by means of a three-day 24-hour dietary record (3R24). The relative validity and agreement was assessed by Pearson’s correlation and intra-class correlation coefficients (ICC), respectively.Results: The median energy-adjusted ICC of food groups between SFFQ2 and SFFQ1 was 0.59 (range: 0.49-0.73) and the ICC of nutrients was 0.47(range: 0.39-0.76). The Pearson correlation showed a valid comparisons between SFFQ1 and 3R24, ranging from -0.086 to 0.93 for food and 0.21 to 0.71 for nutrition, respectively. The energy-adjustment slightly increased the correlation coefficients.Conclusions: The reliability and validity of SFFQ was acceptable, and it could be an appropriate dietary assessment tool for the future epidemiological studies conducted among physical health examination adults of southwest China.Trial registration:CHiCTR, ChiCTR1900020934, Registered 22 January 2019, http://www.chictr.org.cn/edit.aspx?pid=35414&htm=4.
Understanding access to professional healthcare among asylum seekers facing gender-based violence: a qualitative study from a stakeholder perspective
Authors: Sapia Mirjam Rodella , Wangmo Tenzin , Dagron Stéphanie , Elger Bernice S. 
Published: September 2020

Abstract
Background: When it comes to gender-based violence (GBV), migrant women and girls represent the most vulnerable group. GBV can happen at any stage of migrants’ flight and/or during the asylum process. It has severe consequences on their life and health. Victims therefore need timely access to healthcare. This study explores the context GBV victims face when they seek refuge in Switzerland. Methods: Qualitative methodology was used where we conducted five semi-structured focus groups and three interviews. A total of sixteen stakeholders participated in the study. They were either involved in the asylum process or provided healthcare to asylum seekers. We analyzed the data using framework analysis.Results: Study participants noted lack of confidence of the GBV victims in the legal and in the healthcare systems as major barriers to disclosure of GBV. Since only GBV exerted before fleeing the home country gives the right to asylum, they pointed out that victims do not disclose GBV that took place after they left their home country. Language was identified as a barrier to disclosure of GBV as well as to healthcare access. Continuity of care at the moment of transfer from federal to cantonal (i.e. state) accommodations is another issue that was deemed critical. Study participants felt that health professionals must be trained to identify GBV victims. The first-contact caregiver available to these victims was deemed as the most competent professional that could act as a “GBV coordinator”.Conclusion: In Switzerland, access to healthcare is guaranteed to all asylum seekers on a legal and structural level. Yet, health seeking by GBV survivors is hindered by factors such as lack of confidence in the legal system, trust in health providers, and continuity of care during the asylum process. Building trust in legal institutions, health structures, and professionals should be enhanced to facilitate disclosure and to strengthen resilience. This includes a healthcare system with competent professionals, support with language and cultural needs, as well as seamless continuity of care beyond cantonal borders.
Use of online knowledge base in primary health care and correlation to health care quality: An observational study
Authors: Gerdeskold Christian , Toth-Pal Eva , Wårdh Inger , Nilsson Gunnar H. , Nager Anna 
Published: September 2020

Abstract
BackgroundEvidence-based information available at the point of care improves patient care outcomes. Online knowledge bases can increase the application of evidence-based medicine and influence patient outcome data which may be captured in quality registries. The aim of this study was to explore the effect of use of an online knowledge base on patient experiences and health care quality.MethodsThe study was conducted as a retrospective, observational study of 24 primary health care centers in Sweden exploring their use of an online knowledge base. Frequency of use was compared to patient outcomes in two national quality registries. A socio-economic Care Need Index was applied to assess whether the burden of care influenced the results from those quality registries. Non-parametric statistical methods and linear regression were used.ResultsFrequency of knowledge base use showed two groups: frequent and non-frequent users, with a significant use difference between the groups (p<.001). Outcome data showed significant higher values for all seven National Primary Care Patient Survey dimensions in the frequent compared to the non-frequent knowledge base users (p<.001), whereas 10 out of 11 parameters in the National Diabetes Register showed no differences between the groups (p>.05). Adjusting for Care Need Index had almost no effect on the outcomes for the groups.ConclusionsFrequent users of a national online knowledge base received higher ratings on patient experiences, but figures on health care quality in diabetes showed near to no correlation. The findings indicate that some effects may be attributed to the use of knowledge bases and requires a controlled evaluation.
Use of the product of driving pressure and respiratory rate for predicting failure of weaning from mechanical ventilator in medical patients
Authors: Gong Ju , Zhang Bibo , Huang Xiaowen , Li Bin , Huang Jian 
Published: September 2020

Abstract
Background: Respiratory workload increment in the process of mechanical ventilation withdrawal is critical for the determination of weaning outcome. Pressure, tidal volume (Vt) and respiratory rate (RR) are considered as patient’s respiratory power, albeit being affected by excessive respiratory load. We aimed to evaluate the performance of driving pressure (DP)×RR to predict the outcome of weaning.Methods: Plateau pressure (Pplat) and positive end-expiratory pressure tot (PEEPtot) were measured during mechanical ventilation, viz., (1) brief deep sedation, (2) on volume support ventilation of MV with Vt 6 ml/kg and a PEEP of 0 cm H2O, (3) Pplat and PEEPtot were measured by holding breath for 2s after inhalation and exhalation, respectively. The DP was determined as Pplat minus PEEPtot. The highest RR was recorded within 3 min during spontaneous-breathing trial (SBT). Patients that were able to tolerate SBT for 1 h were extubated.Results: Out of the 61 patients studied, 22 failed weaning. During the withdrawal of ventilation, DP×RR was 134.2±33.2 cmH2O·breaths/min and 238.5±61.7 cmH2O·breaths/min (P=0.00), DP was 7.9±1.6 cmH2O and 9.7±2.3 cmH2O (P=0.00), in the “success” and “failure” groups, respectively. The DP×RR index greater than 170 cmH2O·breaths/min had a sensitivity of 95.5% and a specificity of 89.7%, while DP index greater than 8.1 cmH2O had 81.8% sensitivity and 64.1% specificity to predict weaning failure.Conclusions: Measurement of DP×RR during withdrawal of ventilation may help predict weaning outcome. Noticeably, high DP×RR increased the likelihood of weaning failure.