bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of sexual dysfunction in gynecologic cancer survivors using DSM-5 diagnostic criteria
Authors: Lin Hao , Fu Hung-Chun , Wu Chen-Hsuan , Tsai Yi-Jen , Chou Yin-Jou , Shih Chun-Ming , Ou Yu-Che 
Published: January 2022

Abstract
Background
In gynecologic cancer survivors, female sexual dysfunction (FSD) remains under-investigated. We attempted to estimate the prevalence of FSD associated with distress in gynecologic cancer survivors using diagnostic and statistical manual of mental disorders fifth edition (DSM-5) diagnostic criteria and to identify women at risk for FSD.

Methods
We conducted a cross-sectional analysis of premenopausal women aged 20–50 with various gynecologic cancers at least one year after treatment between January 2017 and December 2019. Data of sociodemographics and physical conditions were collected via face-to-face interview during outpatient clinic visits. The domains we used to define FSD were based on DSM-5 diagnostic criteria. Statistical analysis was carried out using Student's t test, Chi-square test and multiple logistic regression.

Results
A total of 126 gynecologic cancer survivors with a mean age of 42.4 years were included for analysis and 55 of them (43.7%) were diagnosed as having FSD associated with distress based on DSM-5 criteria. More than half of women (65.1%) reported decreased sexual satisfaction after cancer treatment. According to DSM-5 definition, the most common female sexual disorders were sexual interest/arousal disorder (70.9%), followed by genitopelvic pain/penetration disorder (60.0%), and orgasmic disorder (20.0%). In multiple logistic regression model, endometrial cancer diagnosis was the only independent factor predicting less influence of cancer treatment on FSD (OR 0.370; 95% CI 0.160, 0.856).

Conclusion
The first study to use DSM-5 criteria for estimation of FSD prevalence. This enables clinicians to identify which women are actually needed to seek medical help. A prevalence of 43.7% of FSD associated with distress was found in a group of gynecologic cancer survivors with the most common being sexual interest/arousal disorder. Endometrial cancer survivors were at low risk for developing FSD after treatment.
Interpretable CNN for ischemic stroke subtype classification with active model adaptation
Authors: Zhang Shuo , Wang Jing , Pei Lulu , Liu Kai , Gao Yuan , Fang Hui , Zhang Rui , Zhao Lu , Sun Shilei , Wu Jun , Song Bo , Dai Honghua , Li Runzhi , Xu Yuming 
Published: January 2022

Abstract
Background
TOAST subtype classification is important for diagnosis and research of ischemic stroke. Limited by experience of neurologist and time-consuming manual adjudication, it is a big challenge to finish TOAST classification effectively. We propose a novel active deep learning architecture to classify TOAST.

Methods
To simulate the diagnosis process of neurologists, we drop the valueless features by XGB algorithm and rank the remaining ones. Utilizing active learning framework, we propose a novel causal CNN, in which it combines with a mixed active selection criterion to optimize the uncertainty of samples adaptively. Meanwhile, KL-focal loss derived from the enhancement of Focal loss by KL regularization is introduced to accelerate the iterative fine-tuning of the model.

Results
To evaluate the proposed method, we construct a dataset which consists of totally 2310 patients. In a series of sequential experiments, we verify the effectiveness of each contribution by different evaluation metrics. Experimental results show that the proposed method achieves competitive results on each evaluation metric. In this task, the improvement of AUC is the most obvious, reaching 77.4.

Conclusions
We construct a backbone causal CNN to simulate the neurologist process of that could enhance the internal interpretability. The research on clinical data also indicates the potential application value of this model in stroke medicine. Future work we would consider various data types and more comprehensive patient types to achieve fully automated subtype classification.
Nurse competence in the post-anaesthesia care unit in Sweden: a qualitative study of the nurse’s perspective
Authors: Dahlberg Karuna , Sundqvist Ann-Sofie , Nilsson Ulrica , Jaensson Maria 
Published: January 2022

Abstract
Background
To enable safe and successful recovery for surgery patients, nurses working in post-anaesthesia care units need competence in postoperative care. No consensus defines what this specific competence includes, and it has not been studied from the perspective of nurses working in post-anaesthesia care units. The aim of this study is twofold: 1) To explore and describe nurses’ perception of the competence needed to work in post-anaesthesia care units. 2) To explore and describe nurses’ perception of what characterizes an expert nurse in post-anaesthesia care units.

Methods
This qualitative inductive study uses individual interviews. Sixteen nurses were recruited from two post-anaesthesia care units located in different parts of Sweden. Inclusion criteria were nurses employed in the post-anaesthesia care units for ≥1 years.
Semi-structured individual interviews were conducted; data were analysed using thematic analysis.

Results
The interview analysis identified six subthemes and three themes. The themes being adaptable in an ever-changing environment and creating safe care represent the overarching meaning of competence required when working as a nurse in a Swedish post-anaesthesia care unit. Nurses must possess various technical and nontechnical skills, which are core competences that are described in the sub-themes. The theme seeing the bigger picture describes the nurse’s perception of an expert nurse in the post-anaesthesia care unit.

Conclusions
Nurse competence in post-anaesthesia care units entails specific knowledge, acknowledging the patient, and working proactively at a fast pace with the patient and team to provide safe, high-quality care. An expert nurse in post-anaesthesia care units can see the bigger picture, helping share knowledge and develop post-anaesthesia care. The expert competence to see a bigger picture can be used in supervising novices and creating a knowledge base for postgraduate education in order to promote safe, high-quality post-anaesthesia care.
To which non-physician health professionals do French general practitioners refer their patients to and what factors are associated with these referrals? Secondary analysis of the French national cross-sectional ECOGEN study
Authors: Peurois Matthieu , Chopin Matthieu , Texier-Legendre Gaëlle , Angoulvant Cécile , Bellanger William , Bègue Cyril , Ramond-Roquin Aline 
Published: January 2022

Abstract
Background
Multiprofessional practice is a key component in primary care. Examining general practitioner (GP) referral frequency to non-physician health professionals (NPHP) can provide information about how primary care is organised and works which is useful for policymakers. Our study aimed to describe French GP referral frequency to various NPHPs in France and identify associated factors.

Methods
This is an ancillary study to the observational, cross-sectional (ECOGEN) study conducted in 2011/2012 in France among 128 GPs. Data about consultations using the standardised International Classification of Primary Care (ICPC-2), and patient and GP characteristics were collected from 20,613 GP consultations. Referrals were identified through inductive and deductive approaches using ICPC-2 codes, keywords, and deep, open manual searches. Referral frequency was described overall and per NPHP. Patient, GP, and consultation-related factors associated with referral rates were described for the three most frequently identified NPHPs. To minimise potential sources of bias, this observational study followed the STROBE guidelines.

Results
French GPs referred 6.8% of patients to NPHPs, with physiotherapists, podiatrists, and nurses accounting for 85.2% of referrals. Older patients, retired patients, multiple health problems managed, and longer consultation durations were found to be associated with higher referral rates (p < 0.001). Specific trends were observed for nurse, physiotherapist, and podiatrist referrals. Women (p < 0.001) and regular patients (p = 0.002) were more likely to receive physiotherapy referrals while people with no professional activity were less likely (p < 0.001). Female GPs and those working in urban practices were more likely to issue a physiotherapy referral (p < 0.001), while GPs working in rural practices (p < 0.001) and those with higher annual consultation numbers (p = 0.002) were more likely to refer to a nurse. Working in multiprofessional centres appeared to have little impact on referral rates, being only slightly associated with podiatrist referrals (p = 0.003).

Conclusions
Referral frequency is more associated with patient characteristics and clinical situations than GP-related factors suggesting patients needing referral most are most often referred. Furthermore, the three NPHPs that GPs refer to the most are those for which a referral is required for reimbursement in France, suggesting that health system legislation and NPHP reimbursement are strong determinants for referrals.
Healthcare practitioners experiences in delivering sexual and reproductive health services to unmarried adolescent clients in Jordan: results from a cross-sectional survey
Authors: Kapoor Neena R. , Langer Ana , Othman Areej , Gausman Jewel 
Published: January 2022

Abstract
Background
The need for youth-friendly sexual and reproductive health (SRH) services has been identified as a national policy priority in Jordan, but there remains limited data on service utilization among adolescents, especially those who are unmarried, and there is limited training for healthcare practitioners (HCPs) in providing SRH services to youth. The objectives of this study are to 1) describe the most common reasons for encounters that HCPs have with unmarried youth clients about SRH topics and 2) explore differences in SRH services provided to unmarried youth by provider in Jordan.

Methods
This cross-sectional study used a two-stage cluster-randomized sampling scheme to sample HCPs (doctors, nurses, and midwives) from health facilities in four governorates in Jordan. Data were collected on practitioner demographics, facility characteristics, and self-reports of having provided services related to nine common SRH concerns to unmarried girls or boys between the ages of 15–19 years. Chi-square tests were conducted to analyze the associations between provider and facility characteristics, client sex, and types of services rendered.

Results
In total, 578 providers participated in the study (110 male and 468 female). Practitioners most commonly reported seeing unmarried female youth for concerns related to puberty (38.5%) and family planning (18.51%) and unmarried male youth for concerns of puberty (22.49%) or condoms (11.59%). In total, 64.45, 64.61 and 71.19% of midwives, nurses, and doctors reported having provided any SRH service to an unmarried adolescent. While practitioners most often reported seeing clients of the same sex, male practitioners were more likely to report having seen a female client for STIs (9.09% vs. 4.27% p = 0.040), and providing general information about sexual activity (12.73% vs. 5.77% p = 0.011) than female providers.

Conclusions
Our results suggest that a substantial proportion of HCPs have provided SRH services to unmarried youth – challenging existing perceptions of the SRH care-seeking practices of unmarried youth in this conservative context.
Profiles and predictors of healthcare utilization: using a cluster-analytic approach to identify typical users across conventional, allied and complementary medicine, and self-care
Authors: Recchia Daniela Rodrigues , Cramer Holger , Wardle Jon , Lee David J. , Ostermann Thomas , Lauche Romy 
Published: January 2022

Abstract
Introduction
The identification of typologies of health care users and their specific characteristics can be performed using cluster analysis. This statistical approach aggregates similar users based on their common health-related behavior. This study aims to examine health care utilization patterns using cluster analysis; and the associations of health care user types with sociodemographic, health-related and health-system related factors.

Methods
Cross-sectional data from the 2012 National Health Interview Survey were used. Health care utilization was measured by consultations with a variety of medical, allied and complementary health practitioners or the use of several interventions (exercise, diet, supplementation etc.) within the past 12 months (used vs. not used). A model-based clustering approach based on finite normal mixture modelling, and several indices of cluster fit were determined. Health care utilization within the cluster was analyzed descriptively, and independent predictors of belonging to the respective clusters were analyzed using logistic regression models including sociodemographic, health- and health insurance-related factors.

Results
Nine distinct health care user types were identified, ranging from nearly non-use of health care modalities to over-utilization of medical, allied and complementary health care. Several sociodemographic and health-related characteristics were predictive of belonging to the respective health care user types, including age, gender, health status, education, income, ethnicity, and health care coverage.

Conclusions
Cluster analysis can be used to identify typical health care utilization patterns based on empirical data; and those typologies are related to a variety of sociodemographic and health-related characteristics. These findings on individual differences regarding health care access and utilization can inform future health care research and policy regarding how to improve accessibility of different medical approaches.
Evaluating the impact of a training program to support transitioning from the hospital to the community for people after stroke: a community case study
Authors: Lui Michelle , McKellar Katherine , Cooper Shari , Eng Janice J. , Bird Marie-Louise 
Published: January 2022

AbstractBackgroundThe transitions in care along the stroke recovery path are challenging, particularly in finding mechanisms to continue one’s recovery once at home. We aim to evaluate the impact of training physiotherapists and fitness instructors from one regional community together to deliver an evidence-based group exercise program starting in the hospital and transitioning to the community using an implementation approach.MethodsThe evidenced based exercise program Fitness and Mobility Exercise (FAME) for stroke was chosen as the intervention. Data from interviews with stakeholders (community centre and health authority hospital staff including a physiotherapy navigator) was transcribed and themes evaluated using the RE-AIM (Reach, Efficacy, Adoption, Implementation, Maintenance) framework. These data were supplemented by information collected as a quality assurance project within the health authority.ResultsTwo programs were established; one in the community centre (run over 15 months by fitness instructors) and one in the regional hospital (run over 12 months by a rehabilitation assistant under the direction from a physiotherapist). Transitions in care were facilitated by implementing the same evidence-based group exercise class in both the hospital and community setting, so people living with stroke could seamlessly move from one to another. An existing physiotherapist navigator service also was valued as a support for the transitions between the two centres for people with stroke. The hospital group accessed group-based physiotherapy service on average 31 days earlier than they were able to in a one-to-one format.ConclusionsThis case study described the implementation of the Fitness and Mobility Exercise (FAME) program in one community and the use of a physiotherapist navigator to assist transition between them. After a community training workshop, FAME programs were established within the health authority and the community centre. FAME program participants within the health authority benefited from reduced wait times to access hospital outpatient physiotherapy service. Improvements in function were measured in and reported by the people after stroke attending either the health authority or community centre FAME groups.
An intron SNP rs2069837 in IL-6 is associated with osteonecrosis of the femoral head development
Authors: Wang Ruisong , Li Rui , Liu Ruiyu 
Published: January 2022

Abstract
Background
Genetic polymorphisms play a crucial role in the development of osteonecrosis of the femoral head (ONFH). This study mainly explored the association of IL-6 variants and ONFH susceptibility among the Chinese Han population.

Methods
Two variants (rs2069837, and rs13306435) in the IL-6 gene were identified and genotyped from 566 patients with ONFH and 566 healthy controls. The associations between IL-6 polymorphisms and ONFH susceptibility were assessed using odds ratio (OR) and 95% confidence interval (95% CI) via logistic regression. The potential function of these two variants was predicted by the HaploReg online database.

Results
The results of the overall analysis revealed that IL-6 rs2069837 was correlated with decreased risk of ONFH among the Chinese Han population (p < 0.05). In stratified analysis, rs2069837 also reduced the susceptibility to ONFH in older people (> 51 years), males, nonsmokers, and nondrinkers (p < 0.05). However, no associations between rs13306435 and ONFH susceptibility were observed (p > 0.05).

Conclusions
To sum up, we suggested that rs2069837 G>A polymorphism in the IL-6 gene was significantly associated with a decreased risk of ONFH among the Chinese Hans. These findings underscored the crucial role of IL-6 rs2069837 in the occurrence of ONFH.
Switched alternative splicing events as attractive features in lung squamous cell carcinoma
Authors: He Boxue , Wei Cong , Cai Qidong , Zhang Pengfei , Shi Shuai , Peng Xiong , Zhao Zhenyu , Yin Wei , Tu Guangxu , Peng Weilin , Tao Yongguang , Wang Xiang 
Published: January 2022

Abstract
Background
Alternative splicing (AS) plays important roles in transcriptome and proteome diversity. Its dysregulation has a close affiliation with oncogenic processes. This study aimed to evaluate AS-based biomarkers by machine learning algorithms for lung squamous cell carcinoma (LUSC) patients.

Method
The Cancer Genome Atlas (TCGA) database and TCGA SpliceSeq database were utilized. After data composition balancing, Boruta feature selection and Spearman correlation analysis were used for differentially expressed AS events. Random forests and a nested fivefold cross-validation were applied for lymph node metastasis (LNM) classifier building. Random survival forest combined with Cox regression model was performed for a prognostic model, based on which a nomogram was developed. Functional enrichment analysis and Spearman correlation analysis were also conducted to explore underlying mechanisms. The expression of some switch-involved AS events along with parent genes was verified by qRT-PCR with 20 pairs of normal and LUSC tissues.

Results
We found 16 pairs of splicing events from same parent genes which were strongly related to the splicing switch (intrapair correlation coefficient = − 1). Next, we built a reliable LNM classifier based on 13 AS events as well as a nice prognostic model, in which switched AS events behaved prominently. The qRT-PCR presented consistent results with previous bioinformatics analysis, and some AS events like ITIH5-10715-AT and QKI-78404-AT showed remarkable detection efficiency for LUSC.

Conclusion
AS events, especially switched ones from the same parent genes, could provide new insights into the molecular diagnosis and therapeutic drug design of LUSC.
Meta-analysis of risk factors associated with suicidal ideation after stroke
Authors: Zhang Shuangmei , Wang Anrong , Zhu Weifeng , Qiu Zhaoyang , Zhang Zhaoxu 
Published: January 2022

Abstract
Background
Over the past decade, increasing attention has been paid on post stroke suicide (PSS), which is one of complications of stroke. The rates of stroke and suicide are relatively high, especially in Asian populations. Thus, a deeper understanding of the prevalence and epidemiological impact of suicide after stroke is urgently needed. Clinical diagnosis and prevention of PSS are at the incipient stage, but the risk factors responsible for the occurrence of PSS in different regions and stages of the disease remain largely unknown. The present meta-analysis aimed to determine the incidence of PSS at different stages and time courses, and to identify the underlying risk factors for PSS.

Methods
We systematically searched the Cochrane library, Embase, PubMed, CNKI and Web of Science databases from their inception until April 2019.The research articles reporting on the risk factor for PSS were screened and included in the meta-analysis. The data from the included studies were extracted according to the predefined criteria.

Results
A total of 12 studies (n = 2,693,036) were included for meta-analyses. Of these studies, 7 reporting suicide prevalence were meta-analyzed. The pooled estimate of suicidal ideation rates after stroke was 12%, which could be influenced by multiple risk factors, including sex, smoking, depression, sleep disorders, previous stroke and low household income. Studies conducted in Asia demonstrated higher suicide prevalence (approximately 15%) compared to other regions. Smoking, low family income, depression, heart disease and sleep disorders were important risk factors for PSS. When compared to PSS of more than 1 year, the incidence of suicide within 1 year after stroke was more likely to be statistically significant. It was found that 4 out of every 1000 stroke survivors tended to commit suicide. The results of this meta-analysis showed that depression (OR = 2.32; p < 0.01) was significantly associated with suicidal ideation, regardless of stroke duration.

Conclusion
PSS is one of the common complications of stroke. Despite some limitations, we successfully identified the risk factors associated with suicidal ideation after stroke. Notably, depression was significantly associated with suicidal ideation, regardless of stroke duration. Targeting this risk factor may be helpful to improve stroke patient care and prevent suicidal ideation after stroke. Future research will be carried out to assess whether suicidal ideation or thoughts and actual suicide attempts are strongly predictive of suicide deaths after stroke (Registration No. CRD42019128813).