bluuebunny/crossref_metadata_2025_split huggingface dataset:
The development of a robotic gynaecological surgery training curriculum and results of a delphi study
Authors: Ismail Aemn , Wood Matthew , Ind Thomas , Gul Nahid , Moss Esther 
Published: March 2020

Abstract
Background
Technology for minimal access surgery is rapidly progressing in all surgical specialities including Gynaecology. As robotic surgery becomes established in increasing numbers of hospitals, there is no set curriculum for training in robotic gynaecological surgery or the assistant role in use in the UK. The purpose of this study was to determine a list of competencies that could be used as the basis of a core robotic gynaecological surgery curriculum, to explore its acceptability and the level of interest in undertaking training in robotics among obstetrics & gynaecology (O&G) trainees.

Methods
A four-round Delphi study was conducted using members and associates of British & Irish Association of Robotic Gynaecological Surgeons (BIARGS). In Round 1 respondents were asked to propose standards that could be used in the curriculum. In the following three rounds, the respondents were asked to score each of the standards according to their opinion as to the importance of the standard. Items that scored a mean of 80% or above were included in the final proposed curriculum. Following this, a national survey was conducted to explore the interest among O&G trainees in undertaking a formal robotic training for the first assistant and console surgeon roles.

Results
The items proposed were divided into three separate sections: competencies for a medical first assistant; competencies for a console surgeon; continued professional development for trained console surgeons. From the national survey; 109 responses were received of which 60% were interested in undertaking a formal training for the first assistant role, and 68% are expressing interest in training for the console surgeon role.

Conclusion
Undertaking a Delphi exercise to determine a core gynaecological robotic training curriculum has enabled consensus to be achieved from the opinions of BIARGS members/associates. There is interest among O&G trainees at all levels of training to gain experience and develop their skills in robotic surgery by undertaking a formal training in robotic surgery at both the first assistant and console surgeon level.
A Neuro-ontology for the neurological examination
Authors: Hier Daniel B. , Brint Steven U. 
Published: March 2020

AbstractBackgroundThe use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing the neurological examination as machine-readable codes based on UMLS Metathesaurus concepts.MethodsWe created a target ontology for capturing the neurological examination using 1100 concepts from the UMLS Metathesaurus. We created a dataset of 2386 test-phrases based on 419 published neurological cases. We then mapped the test-phrases to the target ontology.ResultsWe were able to map all of the 2386 test-phrases to 601 unique UMLS concepts. A neurological examination ontology with 1100 concepts has sufficient breadth and depth of coverage to encode all of the neurologic concepts derived from the 419 test cases. Using only pre-coordinated concepts, component ontologies of the UMLS, such as HPO, SNOMED CT, and OMIM, do not have adequate depth and breadth of coverage to encode the complexity of the neurological examination.ConclusionAn ontology based on a subset of UMLS has sufficient breadth and depth of coverage to convert deficits from the neurological examination into machine-readable codes using pre-coordinated concepts. The use of a small subset of UMLS concepts for a neurological examination ontology offers the advantage of improved manageability as well as the opportunity to curate the hierarchy and subsumption relationships.
Predicting the need for supportive services after discharged from hospital: a systematic review
Authors: Kobewka Daniel M. , Mulpuru Sunita , Chassé Michaël , Thavorn Kednapa , Lavallée Luke T. , English Shane W. , Neilipovitz Benjamin , Neilipovitz Jonathan , Forster Alan J. , McIsaac Daniel I. 
Published: March 2020

Abstract
Background
Some patients admitted to acute care hospital require supportive services after discharge. The objective of our review was to identify models and variables that predict the need for supportive services after discharge from acute care hospital.

Methods
We performed a systematic review searching the MEDLINE, CINAHL, EMBASE, and COCHRANE databases from inception to May 1st 2017.
We selected studies that derived and validated a prediction model for the need for supportive services after hospital discharge for patients admitted non-electively to a medical ward. We extracted cohort characteristics, model characteristics and variables screened and included in final predictive models. Risk of bias was assessed using the Quality in Prognostic Studies tool.

Results
Our search identified 3362 unique references. Full text review identified 6 models. Models had good discrimination in derivation (c-statistics > 0.75) and validation (c-statistics > 0.70) cohorts. There was high quality evidence that age, impaired physical function, disabilities in performing activities of daily living, absence of an informal care giver and frailty predict the need for supportive services after discharge. Stroke was the only unique diagnosis with at least moderate evidence of an independent effect on the outcome. No models were externally validated, and all were at moderate or higher risk of bias.

Conclusions
Deficits in physical function and activities of daily living, age, absence of an informal care giver and frailty have the strongest evidence as determinants of the need for support services after hospital discharge.

Trial registration
This review was registered with PROSPERO #CRD42016037144.
Examining partnerships within an international knowledge translation network focused on youth mental health promotion
Authors: Halsall T. , Manion I. , Henderson J. , Robeson P. , Purcell R. , Liversidge P. , Iyer S. N. 
Published: March 2020

AbstractBackgroundSystems transformation for health promotion, involving engagement from multiple disciplines and levels of influence, requires an investment in partnership development. Integrated youth service is a collaborative model that brings organisations together to provide holistic care for youth. Frayme is an international knowledge translation network designed to support the uptake and scaling of integrated youth service. Social network analysis (SNA) is the study of relationships among social units and is useful to better understand how partners collaborate within a network to achieve major objectives. The purpose of this paper is to apply SNA to the Frayme network in order to (1) examine the level and strength of partnerships, (2) identify the strategies being employed to promote the main objectives and (3) apply the findings to current research in youth mental health and system transformation.MethodsThe PARTNER tool includes a validated survey and analysis software designed to examine partner interconnections. This tool was used to perform the SNA and 51 of the 75 partners completed the survey (14 researchers, 2 advisory groups and 35 organisations). A network map was created and descriptive frequencies were calculated.ResultsThe overall network scores for the Frayme network were 20.6% for density, 81.5% for centralisation and 71.7% for overall trust. The Frayme secretariat received a 3.84 out of a possible 4 for value. In addition, the youth and family advisories each received a value score of 4 and all Leadership Team organisations received a score of 2.97 or above.ConclusionsThe Frayme secretariat links many partners who would otherwise be disconnected and acts as a significant conduit for novel information. Frayme may have the opportunity to enhance value perceptions among broader network members by profiling individual organisations and the potential leveraging opportunities that might exist through their work. These findings increase understanding with respect to the mechanisms of network development and will be helpful to inform partnership development in the future. In addition, they contribute to the literature with respect to knowledge translation practice as well as the scaling of collaborative interventions within youth mental health.
Five-year cost-effectiveness analysis of the European Fans in Training (EuroFIT) physical activity intervention for men versus no intervention
Authors: Kolovos Spyros , Finch Aureliano P. , van der Ploeg Hidde P. , van Nassau Femke , Broulikova Hana M. , Baka Agni , Treweek Shaun , Gray Cindy M. , Jelsma Judith G. M. , Bunn Christopher , Roberts Glyn C. , Silva Marlene N. , Gill Jason M. R. , Røynesdal Øystein , van Mechelen Willem , Andersen Eivind , Hunt Kate , Wyke Sally , Bosmans Judith E. 
Published: March 2020

AbstractObjectivesIncreasing physical activity reduces the risk of chronic illness including Type 2 diabetes, cardiovascular disease and certain types of cancer. Lifestyle interventions can increase physical activity but few successfully engage men. This study aims to investigate the 5 year cost-effectiveness of EuroFIT, a program to improve physical activity tailored specifically for male football (soccer) fans compared to a no intervention comparison group.MethodsWe developed a Markov cohort model in which the impact of improving physical activity on five chronic health conditions (colorectal cancer, Type 2 diabetes, coronary heart disease, stroke and depression) and mortality was modelled. We estimated costs from a societal perspective and expressed benefits as quality adjusted life years (QALYs). We obtained data from a 4-country (England, Netherlands, Portugal and Norway) pragmatic randomised controlled trial evaluating EuroFIT, epidemiological and cohort studies, and meta-analyses. We performed deterministic and probabilistic sensitivity analyses to assess the impact of uncertainty in the model’s parameter values on the cost-effectiveness results. We used Monte Carlo simulations to estimate uncertainty and presented this using cost-effectiveness acceptability curves (CEACs). We tested the robustness of the base case analysis using five scenario analyses.ResultsAverage costs over 5 years per person receiving EuroFIT were €14,663 and per person receiving no intervention €14,598. Mean QALYs over 5 years were 4.05 per person for EuroFIT and 4.04 for no intervention. Thus, the average incremental cost per person receiving EuroFIT was €65 compared to no intervention, while the average QALY gain was 0.01. This resulted in an ICER of €5206 per QALY gained. CEACs show that the probability of EuroFIT being cost-effective compared to no intervention is 0.53, 0.56 and 0.58 at thresholds of €10,000, €22,000 and €34,000 per QALY gained, respectively. When using a time horizon of 10 years, the results suggest that EuroFIT is more effective and less expensive compared to (i.e. dominant over) no intervention with a probability of cost-effectiveness of 0.63 at a threshold of €22,000 per QALY gained.ConclusionsWe conclude the EuroFIT intervention is not cost-effective compared to no intervention over a period of 5 years from a societal perspective, but is more effective and less expensive (i.e. dominant) after 10 years. We thus suggest that EuroFIT can potentially improve public health in a cost-effective manner in the long term.
Supplement of microbiota-accessible carbohydrates prevents neuroinflammation and cognitive decline by improving the gut microbiota-brain axis in diet-induced obese mice
Authors: Shi Hongli , Wang Qiao , Zheng Mingxuan , Hao Shanshan , Lum Jeremy S. , Chen Xi , Huang Xu-Feng , Yu Yinghua , Zheng Kuiyang 
Published: March 2020

Abstract
Background
Western pattern diets induce neuroinflammation and impair cognitive behavior in humans and animals. Neuroinflammation and cognitive impairment have been associated with microbiota dysbiosis, through the gut-brain axis. Furthermore, microbiota-accessible carbohydrates (MACs) found in dietary fiber are important in shaping the microbial ecosystem and have the potential to improve the gut-brain-axis. However, the effects of MACs on neuroinflammation and cognition in an obese condition have not yet been investigated. The present study aimed to evaluate the effect of MACs on the microbiota-gut-brain axis and cognitive function in obese mice induced by a high-fat and fiber deficient (HF-FD) diet.

Methods
C57Bl/6 J male mice were fed with either a control HF-FD or a HF-MAC diet for 15 weeks. Moreover, an additional group was fed with the HF-MAC diet in combination with an antibiotic cocktail (HF-MAC + AB). Following the 15-week treatment, cognitive behavior was investigated; blood, cecum content, colon, and brain samples were collected to determine metabolic parameters, endotoxin, gut microbiota, colon, and brain pathology.

Results
We report MACs supplementation prevented HF-FD-induced cognitive impairment in nesting building and temporal order memory tests. MACs prevented gut microbiota dysbiosis, including increasing richness, α-diversity and composition shift, especially in Bacteroidetes and its lower taxa. Furthermore, MACs increased colonic mucus thickness, tight junction protein expression, reduced endotoxemia, and decreased colonic and systemic inflammation. In the hippocampus, MACs suppressed HF-FD-induced neuroglia activation and inflammation, improved insulin IRS-pAKT-pGSK3β-pTau synapse signaling, in addition to the synaptic ultrastructure and associated proteins. Furthermore, MACs’ effects on improving colon–cognitive parameters were eliminated by wide spectrum antibiotic microbiota ablation.

Conclusions
These results suggest that MACs improve cognitive impairments via the gut microbiota-brain axis induced by the consumption of an HF-FD. Supplemental MACs to combat obesity-related gut and brain dysfunction offer a promising approach to prevent neurodegenerative diseases associated with Westernized dietary patterns and obesity.
Developing a perinatal palliative care service package for women with fetal anomaly diagnosis: protocol for mixed methods study
Authors: Raisi Dehkordi Ziba , Kohan Shahnaz , Rassouli Maryam , Zarean Elahe , malekian Azadeh 
Published: March 2020

Abstract
Background
Diagnosis of perinatal anomalies is a stressful experience that can negatively affect mothers, families, health-care systems, and societies. Perinatal palliative care (PPC) is a new development in maternity services which focuses on emotional, spiritual, social, and symptom management and provides care for women and families with fetal anomaly diagnosis. Therefore, this study aimed to develop a service package for women with fetal anomaly diagnosis in socio-cultural context of Iran.

Methods
This research is an exploratory mixed methods study with the qualitative-quantitative sequencing design that consists of four sequential phases. In the first phase, following a qualitative approach, the researcher will explore the needs and experiences of women with fetal anomaly diagnosis, their families, health care providers and policy-makers. At the second phase, based on the review of the literature, Program, guideline, service package and protocol for care of women and their families after perinatal anomaly diagnosis will be identified in other countries. In the third phase, recommendations from qualitative phase and literature review will be combined, the initial protocol of the palliative care service package for perinatal anomaly diagnosis will be identified and prioritized. In the fourth phase, the opinion of experts about this service package will be collected by using RAND/UCLA Appropriateness Method technique and the applicability of the service package’s recommendations in clinical settings will be determined.

Discussion
The results of this Mixed Methods study are expected response the needs and experiences of the women with perinatal anomaly diagnosis being met in the socio-cultural context of Iran and a service package for palliative care of these women developed.
Berries, greens, and medicinal herbs—mapping and assessing wild plants as an ecosystem service in Transylvania (Romania)
Authors: Vári Ágnes , Arany Ildikó , Kalóczkai Ágnes , Kelemen Katalin , Papp Judith , Czúcz Bálint 
Published: March 2020

AbstractBackgroundWild edible plants as well as medicinal herbs are still widely used natural resources in Eastern Europe that are frequently accessed by the local population. Ethnobotanical studies rarely give insight to the specific ecosystems in which wild food and medicinal plants grow in a spatially explicit way. The present work assesses the potential of different ecosystems to provide wild plants for food and medicinal use based on 37 selected plant species, gives an estimate on the actual use of wild plants, and allows insights into the motivation of local people to collect wild plants.MethodsA number of interdisciplinary methods were used: participatory stakeholder workshops with experts scoring the provisioning capacity of ecosystem types, GIS for representing results (capacity maps), basic data statistics for actual use assessment, and interviews for analysing motivations.ResultsCapacity to provide wild edible plants was assessed highest in broad-leaved forests and wetlands, while for medicinal herbs, orchards were rated best. We could find a multitude of motivations for gathering that could be grouped along four main lines corresponding to major dimensions of well-being (health, habit/tradition, nutrition/income, pleasure/emotional), with health reasons dominating very clearly the range (59% of answers), which can be interpreted as a combination of modern “green” values with a traditional lifestyle. We detected some distinct patterns of motivations between the different social groups analysed with more fundamental needs associated with lower level socio-ecological background.ConclusionThis case study provides an example on the importance of wild plants for locals from several points of view. We emphasize the relevance of these local stakeholder views to be included in decision-making and ecosystem management, which can be achieved by the presented workflow for mapping and assessment of ecosystem services which is also compatible with EU-suggested Mapping and Assessment of Ecosystems and their Services (MAES).
ROSE-X: an annotated data set for evaluation of 3D plant organ segmentation methods
Authors: Dutagaci Helin , Rasti Pejman , Galopin Gilles , Rousseau David 
Published: March 2020

Abstract
Background
The production and availability of annotated data sets are indispensable for training and evaluation of automatic phenotyping methods. The need for complete 3D models of real plants with organ-level labeling is even more pronounced due to the advances in 3D vision-based phenotyping techniques and the difficulty of full annotation of the intricate 3D plant structure.

Results
We introduce the ROSE-X data set of 11 annotated 3D models of real rosebush plants acquired through X-ray tomography and presented both in volumetric form and as point clouds. The annotation is performed manually to provide ground truth data in the form of organ labels for the voxels corresponding to the plant shoot. This data set is constructed to serve both as training data for supervised learning methods performing organ-level segmentation and as a benchmark to evaluate their performance. The rosebush models in the data set are of high quality and complex architecture with organs frequently touching each other posing a challenge for the current plant organ segmentation methods. We report leaf/stem segmentation results obtained using four baseline methods. The best performance is achieved by the volumetric approach where local features are trained with a random forest classifier, giving Intersection of Union (IoU) values of 97.93% and 86.23% for leaf and stem classes, respectively.

Conclusion
We provided an annotated 3D data set of 11 rosebush plants for training and evaluation of organ segmentation methods. We also reported leaf/stem segmentation results of baseline methods, which are open to improvement. The data set, together with the baseline results, has the potential of becoming a significant resource for future studies on automatic plant phenotyping.
Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study
Authors: Shi Jiaqi , Yang Jianing , Ma Xin , Wang Xu 
Published: March 2020

Abstract
Background
This study is to determine the risk factors for metastasis of Ewing sarcoma (ES) patients in SEER database. Then explore clinicopathological factors associated with poor prognosis. Furthermore, develop the nomogram to predict the probability of overall survival and cancer-specific survival

Methods
Thus, we collected clinicopathological data of ES patients in SEER database, and then used chi-square test and logistic regression to determine risk factors associated to metastasis. We also did survival analysis including Kaplan-Meier curve and Cox proportional hazard model to explore the risk factors associated to overall survival and cancer-specific survival, and then developed the nomogram to visualize and quantify the probability of survival.

Results
After statistics, we find that patients with older ages (11–20 years old: OR = 1.517, 95% confidence interval [CI] 1.033–2.228, p = 0.034; 21–30 years old: OR = 1.659. 95%CI 1.054–2.610, p = 0.029), larger tumor size (> 8 cm: OR = 1.914, 95%CI 1.251–2.928, p = 0.003), and pelvic lesions (OR = 2.492, 95%CI 1.829–3.395, p < 0.001) had a higher risk of metastasis. ROC curves showed higher AUC (0.65) of combined model which incorporate these three factors to predict the presence of metastasis at diagnosis. In survival analysis, patients with older ages (11–20 years: HR = 1.549, 95%CI 1.144–2.099, p = 0.005; 21–30 years: HR = 1.808, 95%CI 1.278–2.556, p = 0.001; 31–49 years: HR = 3.481, 95%CI 2.379–5.094, p < 0.001; ≥ 50 years: HR = 4.307, 95%CI 2.648–7.006, p < 0.001) , larger tumor size (5–8 cm: HR = 1.386, 95%CI 1.005–1.991, p = 0.046; > 8 cm: HR = 1.877, 95%CI 1.376–2.561, p < 0.001), black race (HR = 2.104, 95%CI 1.296–3.416, p = 0.003), and wider extension (regional: HR = 1.373, 95%CI 1.033–1.823, p = 0.029; metastatic: HR = 3.259, 95%CI 2.425–4.379, p < 0.001) were associated with worse prognosis. Chemotherapy was associated with better prognosis (HR = 0.466, 95%CI 0.290–0.685, p < 0.001). The nomogram which developed by training set and aimed to predict OS and CSS showed good consistency with actual observed outcomes internally and externally.

Conclusion
In conclusion, tumor size and primary site were associated with distant metastasis at diagnosis. Age, tumor size, primary site, tumor extent, and chemotherapy were associated with overall survival and cancer-specific survival. Nomogram could predict the probability of OS and CSS and showed good consistency with actual observed outcomes internally and externally.