bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intimate partner violence among women in Togo: a generalised structural equation modeling approach
Authors: Jean Simon David , Kondo Tokpovi Vénunyé Claude 
Published: February 2024

ObjectiveThis study aimed to assess the magnitude and identify associated factors with intimate partner violence (IPV) in Togo.DesignCross-sectional study.SettingTogo.ParticipantsWomen of reproductive age (15–49 years).Primary outcomeIntimate partner violence.MethodsThis study used data from the 2013 Togolese Demographic and Health Survey. A total of 4910 married or partnered women were included. A Generalised Structural Equation Model (GSEM) was performed to identify significant factors associated with IPV. Results of the GSEM were reported as adjusted ORs (aOR) with their corresponding 95% CIs.ResultsThe pooled prevalence of IPV was 35.5% (95% CI: 34.2% to 36.8%). Emotional violence and physical violence were the most reported forms of IPV (29.7% and 20.2%, respectively), while sexual violence was the least common, with a prevalence of 7.5%. Additionally, the results indicated that the following factors related to women, men and households were significantly associated with IPV in Togo: ethnicity, region, religion, wealth index, working status, age at the first union, having attitudes toward wife-beating, participation in household decision-making, education level, alcohol use and controlling behaviour.ConclusionIPV is a complex and multifactorial phenomenon in Togo. The Togo government as well as women’s human rights organisations should consider these factors when designing IPV programmes.
Hospital-based palliative care referrals: determinants in older adults with cancer
Authors: Chanteclair Alex , Duc Sophie , Amadeo Brice , Coureau Gaelle , Soubeyran Pierre , Mathoulin-Pelissier Simone , Peres Karine , Helmer Catherine , Galvin Angeline , Frasca Matthieu 
Published: February 2024

ObjectivesEarly palliative care improves the quality of life of older patients with cancer. This work aimed to analyse the effect of sociodemographic, geriatric, and tumour-related determinants on hospital-based palliative care (HPC) referral in older patients with cancer, taking into account competing risk of death.MethodsOlder adults with diagnosed cancer from 2014 to 2018 according to the general cancer registry of Gironde (French department) were identified in three population-based cohorts on ageing (PAQUID, 3C - Three City, AMI). Cause-specific Cox models focused on 10 usual determinants in geriatric oncology and palliative care: age, gender, living alone, place of residency, tumour prognosis, activities of daily living (ADL) and instrumental-ADL (IADL) limitations, cognitive impairment, depressive disorders, and polypharmacy.Results131 patients with incident cancer (mean age: 86.2 years, men: 62.6%, poor cancer prognosis: 32.8%) were included, HPC occurring for 26 of them. Unfavourable cancer prognosis was a key determinant for HPC referral (HR 7.02, 95% CI 2.86 to 17.23). An altered IADL score was associated with precocious (first year) referral (HR 3.21, 95% CI 1.20 to 8.64, respectively). Women had a higher rate immediately (first week) after diagnosis (HR 8.64, 95% CI 1.27 to 87.27).ConclusionsCancer prognosis, functional decline and gender are independent factors of HPC referral in older patients with cancer. These findings may help for a better anticipation of the healthcare pathway.
Cryptocurrency co-investment network: token returns reflect investment patterns
Authors: Mungo Luca , Bartolucci Silvia , Alessandretti Laura 
Published: February 2024

AbstractSince the introduction of Bitcoin in 2009, the dramatic and unsteady evolution of the cryptocurrency market has also been driven by large investments by traditional and cryptocurrency-focused hedge funds. Notwithstanding their critical role, our understanding of the relationship between institutional investments and the evolution of the cryptocurrency market has remained limited, also due to the lack of comprehensive data describing investments over time. In this study, we present a quantitative study of cryptocurrency institutional investments based on a dataset collected for 1324 currencies in the period between 2014 and 2022 from Crunchbase, one of the largest platforms gathering business information. We show that the evolution of the cryptocurrency market capitalization is highly correlated with the size of institutional investments, thus confirming their important role. Further, we find that the market is dominated by the presence of a group of prominent investors who tend to specialise by focusing on particular technologies. Finally, studying the co-investment network of currencies that share common investors, we show that assets with shared investors tend to be characterized by similar market behaviour. Our work sheds light on the role played by institutional investors and provides a basis for further research on their influence in the cryptocurrency ecosystem.
Meta-Analysis of Normal Reference Values for Right and Left Ventricular Quantification by Cardiovascular Magnetic Resonance
Authors: Zhan Yang , Friedrich Matthias G. , Dendukuri Nandini , Lu Yang , Chetrit Michael , Schiller Ian , Joseph Lawrence , Shaw Jaime L. , Chuang Michael L. , Riffel Johannes H. , Manning Warren J. , Afilalo Jonathan 
Published: February 2024

BACKGROUND:
Cardiovascular magnetic resonance (CMR) reference values are relied upon to accurately diagnose left ventricular (LV) and right ventricular (RV) pathologies. To date, reference values have been derived from modest sample sizes with limited patient diversity and attention to 1 but not both commonly used tracing techniques for papillary muscles and trabeculations. We sought to overcome these limitations by meta-analyzing normal reference values for CMR parameters stemming from multiple countries, vendors, analysts, and patient populations.

METHODS:
We comprehensively extracted published and unpublished data from studies reporting CMR parameters in healthy adults. A steady-state free-precession short-axis stack at 1.5T or 3T was used to trace either counting the papillary muscles and trabeculations in the LV volume or mass. We used a novel Bayesian hierarchical meta-analysis model to derive the pooled lower and upper reference values for each CMR parameter. Our model accounted for the expected differences between tracing techniques by including informative prior distributions from a large external data set.

RESULTS:

A total of 254 studies from 25 different countries were systematically reviewed, representing 12 812 healthy adults, of which 52 were meta-analyzed. For LV parameters counting papillary muscles and trabeculations in the LV volume, pooled normative reference ranges in men and women, respectively, were as follows: LV ejection fraction of 52% to 73% and 54% to 75%, LV end-diastolic volume index of 60 to 109 and 56 to 96 mL/m
2
, LV end-systolic volume index of 18 to 45 and 16 to 38 mL/m
2
, and LV mass index of 41 to 76 and 33 to 57 g/m
2
. For LV parameters counting papillary muscles and trabeculations in the LV mass, pooled normative reference ranges in men and women, respectively, were as follows: LV ejection fraction of 57% to 74% and 57% to 75%, LV end-diastolic volume index of 60 to 97 and 55 to 88 mL/m
2
, LV end-systolic volume index of 18 to 37 and 15 to 34 mL/m
2
, and LV mass index of 50 to 83 and 38 to 65 g/m
2
. For RV parameters, pooled normative reference ranges in men and women, respectively, were as follows: RV ejection fraction of 47% to 68% and 49% to 71%, RV end-diastolic volume index of 64 to 115 and 57 to 99 mL/m
2
, RV end-systolic volume index of 23 to 52 and 18 to 42 mL/m
2
, and RV mass index of 14 to 29 and 13 to 25 g/m
2
.

CONCLUSIONS:
Our Bayesian hierarchical meta-analysis provides normative reference values for CMR parameters of LV and RV size, systolic function, and mass, encompassing both tracing techniques across a diverse multinational sample of healthy men and women.
Fusing graph transformer with multi-aggregate GCN for enhanced drug–disease associations prediction
Authors: He Shihui , Yun Lijun , Yi Haicheng 
Published: February 2024

Abstract
Background
Identification of potential drug–disease associations is important for both the discovery of new indications for drugs and for the reduction of unknown adverse drug reactions. Exploring the potential links between drugs and diseases is crucial for advancing biomedical research and improving healthcare. While advanced computational techniques play a vital role in revealing the connections between drugs and diseases, current research still faces challenges in the process of mining potential relationships between drugs and diseases using heterogeneous network data.

Results
In this study, we propose a learning framework for fusing Graph Transformer Networks and multi-aggregate graph convolutional network to learn efficient heterogenous information graph representations for drug–disease association prediction, termed WMAGT. This method extensively harnesses the capabilities of a robust graph transformer, effectively modeling the local and global interactions of nodes by integrating a graph convolutional network and a graph transformer with self-attention mechanisms in its encoder. We first integrate drug–drug, drug–disease, and disease–disease networks to construct heterogeneous information graph. Multi-aggregate graph convolutional network and graph transformer are then used in conjunction with neural collaborative filtering module to integrate information from different domains into highly effective feature representation.

Conclusions
Rigorous cross-validation, ablation studies examined the robustness and effectiveness of the proposed method. Experimental results demonstrate that WMAGT outperforms other state-of-the-art methods in accurate drug–disease association prediction, which is beneficial for drug repositioning and drug safety research.
Lateral line system diversification during the early stages of ecological speciation in cichlid fish
Authors: Edgley Duncan E. , Carruthers Madeleine , Gabagambi Nestory P. , Saxon Andrew D. , Smith Alan M. , Joyce Domino A. , Vernaz Grégoire , Santos M. Emília , Turner George F. , Genner Martin J. 
Published: February 2024

Abstract
Background
The mechanosensory lateral line system is an important sensory modality in fishes, informing multiple behaviours related to survival including finding food and navigating in dark environments. Given its ecological importance, we may expect lateral line morphology to be under disruptive selection early in the ecological speciation process. Here we quantify the lateral line system morphology of two ecomorphs of the cichlid fish Astatotilapia calliptera in crater Lake Masoko that have diverged from common ancestry within the past 1,000 years.

Results
Based on geometric morphometric analyses of CT scans, we show that the zooplanktivorous benthic ecomorph that dominates the deeper waters of the lake has large cranial lateral line canal pores, relative to those of the nearshore invertebrate-feeding littoral ecomorph found in the shallower waters. In contrast, fluorescence imaging revealed no evidence for divergence between ecomorphs in the number of either superficial or canal neuromasts. We illustrate the magnitude of the variation we observe in Lake Masoko A. calliptera in the context of the neighbouring Lake Malawi mega-radiation that comprises over 700 species.

Conclusions
These results provide the first evidence of divergence in this often-overlooked sensory modality in the early stages of ecological speciation, suggesting that it may have a role in the broader adaptive radiation process.
Unprofessional behaviour of GP residents leading to a dismissal dispute: characteristics and outcomes of those who appeal
Authors: Godschalx-Dekker Judith A. , Sijbom Charlotte A. M. , Barnhoorn Pieter C. , van Mook Walther N. K. A. 
Published: February 2024

Abstract
Background
Recognition of poor performance in General Practice trainees is important because underperformance compromises patients’ health and safety. However, in General Practice, research on persistent underperformance while in training and its ultimate consequences is almost completely lacking. We aim to explore the unprofessional behaviours of residents in General Practice who were dismissed from training and who litigated against dismissal.

Methods
We performed a structured analysis using open-source data from all General Practice cases before the Conciliation Board of the Royal Dutch Medical Association between 2011 and 2020. Anonymised law cases about residents from all Dutch GP training programmes were analysed in terms of the quantitative and qualitative aspects related to performance.

Results
Between 2011 and 2020, 24 residents who were dismissed from training challenged their programme director’s decision. Dismissed residents performed poorly in several competencies, including communication, medical expertise and most prominently, professionalism. Over 90% of dismissed residents failed on professionalism. Most lacked self-awareness and/or failed to profit from feedback. Approximately 80% failed on communication, and about 60% on medical expertise as well. A large majority (more than 80%) of dismissed residents had previously participated in some form of remediation.

Conclusions
Deficiencies in both professionalism and communication were the most prevalent findings among the dismissed General Practice residents. These two deficiencies overlapped considerably. Dismissed residents who challenged their programme director’s decision were considered to lack self-awareness, which requires introspection and the appreciation of feedback from others.
Reasons for hospitalisation and cumulative mortality in people, 75 years or older, at high risk of hospital admission: a prospective study
Authors: Lundgren Moa , Segernäs Anna , Nord Magnus , Alwin Jenny , Lyth Johan 
Published: February 2024

Abstract
Background
A small proportion of the older population accounts for a high proportion of healthcare use. For effective use of limited healthcare resources, it is important to identify the group with greatest needs. The aim of this study was to explore frequency and reason for hospitalisation and cumulative mortality, in an older population at predicted high risk of hospital admission, and to assess if a prediction model can be used to identify individuals with the greatest healthcare needs. Furthermore, discharge diagnoses were explored to investigate if they can be used as basis for specific interventions in the high-risk group.

Methods
All residents, 75 years or older, living in Östergötland, Sweden, on January 1st, 2017, were included. Healthcare data from 2016 was gathered and used by a validated prediction model to create risk scores for hospital admission. The population was then divided into groups by percentiles of risk. Using healthcare data from 2017–2018, two-year cumulative incidence of hospitalisation was analysed using Gray´s test. Cumulative mortality was analysed with the Kaplan–Meier method and primary discharge diagnoses were analysed with standardised residuals.

Results
Forty thousand six hundred eighteen individuals were identified (mean age 82 years, 57.8% women). The cumulative incidence of hospitalisation increased with increasing risk of hospital admission (24% for percentiles < 60 to 66% for percentiles 95–100). The cumulative mortality also increased with increasing risk (7% for percentiles < 60 to 43% for percentiles 95–100). The most frequent primary discharge diagnoses for the population were heart diseases, respiratory infections, and hip injuries. The incidence was significantly higher for heart diseases and respiratory infections and significantly lower for hip injuries, for the population with the highest risk of hospital admission (percentiles 85–100).

Conclusions
Individuals 75 years or older, with high risk of hospital admission, were demonstrated to have considerable higher cumulative mortality as well as incidence of hospitalisation. The results support the use of the prediction model to direct resources towards individuals with highest risk scores, and thus, likely the greatest care needs. There were only small differences in discharge diagnoses between the risk groups, indicating that interventions to reduce hospitalisations should be personalised.

Trial registration
clinicaltrials.gov Identifier: NCT03180606, first posted 08/06/2017.
Systematic review of Aboriginal and Torres Strait Islander peoples’ experiences and supportive care needs associated with cancer
Authors: Gilroy John , Henningham Mandy , Meehan Drew , Nila Farhana , McGlone Joanna , McAtamney Amanda , Whittaker Kate , Brown Bena , Varlow Megan , Buchanan Tanya 
Published: February 2024

Abstract
Background
Persistent disparities exist between Aboriginal and Torres Strait Islander peoples (the Indigenous peoples of Australia) and non-Indigenous Australians associated with cancer, with Aboriginal and Torres Strait Islander peoples experiencing a longer time to treatment, higher morbidity rates, and higher mortality rates. This systematic review aimed to investigate findings and recommendations in the literature about the experiences and supportive care needs of Aboriginal and Torres Strait Islander peoples with cancer in Australia.

Methods
A qualitative systematic review was conducted using thematic analysis. Database searches were conducted in CINAHL, Informit, MEDLINE, ProQuest, Scopus, and Web of Science for articles published between January 2000 and December 2021. There were 91 included studies which were appraised using the Mixed Methods Appraisal Tool. The included studies reported on the experiences of cancer and supportive care needs in Aboriginal and Torres Strait Islander populations.

Results
Six key themes were determined: Culture, family, and community; cancer outcomes; psychological distress; access to health care; cancer education and awareness; and lack of appropriate data. Culture was seen as a potential facilitator to achieving optimal cancer care, with included studies highlighting the need for culturally safe cancer services and the routine collection of Aboriginal and Torres Strait Islander status in healthcare settings.

Conclusion
Future work should capitalize on these findings by encouraging the integration of culture in healthcare settings to increase treatment completion and provide a positive experience for Aboriginal and Torres Strait Islander peoples with cancer.
Efficacy and safety of double endoscopy combined with exploration in the treatment of elderly patients with cholecystolithiasis complicated with choledocholithiasis
Authors: Zhao Jin , Liu Xin , Huang Tao 
Published: February 2024

Abstract
Objective
To investigate the efficacy and safety of laparoscopy combined with choledochoscopy in the treatment of elderly patients with cholecystolithiasis complicated with choledocholithiasis.

Methods
A retrospective analysis of 114 patients admitted to our hospital from January 2020 to January 2023 was conducted. These patients underwent laparoscopic cholecystectomy combined with choledocholithiasis and were divided into an elderly group (≥ 60 years old) of 63 cases and a young and middle-aged group (< 60 years old) of 51 cases according to age. The efficacy and safety indicators of the two groups of patients were observed, and complications were followed up by telephone within 6 months after surgery. The follow-up deadline was June 2023.

Results
Among the eligible patients (53 men, 61 women, average age 57 years), all were successfully operated, and 1 case was converted to laparotomy. The elderly and young and middle-aged groups were compared concerning hospitalisation time, bowel sound recovery time, and total postoperative complications, and the differences were statistically significant (P-values were 0.009, 0.006, and 0.039). However, there was no statistically significant difference between the two groups of patients in terms of hospitalisation costs, intraoperative blood loss, operation time, drainage tube removal time, conversion to laparotomy rate, and stone clearance rate (P-values > 0 0.05).

Conclusion
Strict adherence to surgical standards and enhanced postoperative care resulted in similar efficacy and safety results for double endoscopy combined with the exploration of treatment for elderly and young patients with cholecystolithiasis and choledocholithiasis.
Fear of hypoglycemia and illness perception in type II diabetes patients
Authors: Fariba Abdollahi , Amerzadeh Mohammad , Banazadeh Marjan , Rashidi Saba , Myaneh Zahra Tayebi 
Published: February 2024

Abstract
Background
Hypoglycemia, a prevalent acute complication among individuals with type 2 diabetes (T2D), manifests with varied symptoms. Those with diabetes who have previously encountered hypoglycemic episodes commonly develop a Fear of Hyperglycemia (FOH). Illness perception (IP) significantly affects self-care behaviors and health outcomes in individuals diagnosed with T2D.

Objective
This study examined the correlation between IP and FOH among T2D patients and predictors of FOH.

Methods
The present study employed a descriptive-analytical design. The target population for this investigation comprised patients diagnosed T2D who sought medical care at the clinic and endocrinology departments of a hospital affiliated with Alborz University of Medical Sciences. The data collection period spanned from August 2019 to March 2021. A total of 300 individuals were included in the sample. Questionnaires were administered to measure both IP and FOH. Statistical analysis was conducted to examine the association between IP and FOH, as well as to identify the predictors of FOH.

Results
The results of the study indicated a statistically significant relationship between FOH and the mean score of IP among patients with diabetes (p = 0.001, r = 0.393), suggesting a moderate positive correlation between these variables. Additionally, the duration of illness, IP, and level of education were identified as variables that predicted FOH (p < 0.05).

Conclusion
The numerous factors that influence FOH in individuals diagnosed with T2D highlight the necessity for strategic planning and training initiatives aimed at enhancing IP and reducing FOH within this specific population. Healthcare providers should prioritize interventions that not only address patients’ concerns but also contribute to the improvement of their overall well-being. By implementing such interventions, healthcare providers can optimize diabetes management strategies and ultimately enhance patient outcomes.