bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real-world efficacy and safety of capecitabine with oxaliplatin in patients with advanced adenocarcinoma of the ampulla of Vater
Authors: Lee Seunghwan , Park Se Jun , Shin Kabsoo , Hong Tae Ho , Kim In-Ho , Lee Myung Ah 
Published: May 2024

Abstract
Background
Adenocarcinoma of the ampulla of Vater (AoV) is one of the rare periampullary cancers, and due to its anatomical location, it is categorized into various histologic subtypes. Its rarity and diversity pose challenges in treatment decision-making for patients with advanced AoV carcinoma. This study investigated the efficacy and safety of the combined regimen of capecitabine and oxaliplatin (CAPOX) in a real-world clinical setting.

Methods
This investigation encompassed patients with advanced AoV carcinoma who underwent CAPOX treatment. Histologic phenotypes were identified through a combination of histopathological analysis and protein expression markers, including MUC1, CDX2, CK20, and MUC2. The correlation between histopathological determinants and survival outcomes was explored, in addition to an evaluation of the safety profile of CAPOX therapy.

Results
From January 2010 to June 2023, 42 patients received CAPOX. Of these, 14 patients (33.3%) had not received any prior palliative chemotherapy, while 28 patients (66.7%) had undergone one prior line of chemotherapy. At a median follow up of 9.0 months, the median progression-free survival (PFS) was 4.38 months (95% CI, 2.78–5.69) and the median overall survival (OS) was 9.57 months (95% CI 7.56–11.6). The objective response and disease control rates were 38.1% and 61.9%, respectively. Patients who received CAPOX as a second-line treatment had poorer PFS (HR = 2.62; 95% CI, 1.49–4.90, p = 0.003) and OS (HR = 2.82, 95% CI, 1.47–5.38, p = 0.001) compared to those who received CAPOX as a first-line chemotherapy. There were no statistically significant differences in PFS (p = 0.185) and OS (p = 0.097) between groups based on histologic subtypes. Neutropenia (14.3%) emerged as the predominant grade 3–4 toxicity. Notably, treatment cessation occurred in select instances owing to grade 3 fatigue (9.5%) and peripheral neuropathy (9.5%).

Conclusions
This study confirmed the therapeutic efficacy and safety of CAPOX in a real-world setting, consistent with prior phase II trial results. While CAPOX proved feasible for advanced AoV carcinoma regardless of histologic subtype, its reduced effectiveness in second-line settings necessitates further research to determine its optimal palliative use.
Hypoxaemia risk in pediatric flexible bronchoscopy for foreign body removal: a retrospective study
Authors: Zhang Su-Jing , Lin Min-Yi , Zhou Min , Dan Ying-Zhi , Gu Hong-Bin , Lu Guo-Lin 
Published: May 2024

Abstract
Background
Hypoxemia represents the most prevalent adverse event during flexible bronchoscopy procedures aimed at foreign body retrieval in pediatric patients; if not expeditiously managed, it carries the potential for cardiac or respiratory arrest. The specific risk factors contributing to the occurrence of hypoxemia during foreign body FB removal via bronchoscopy have yet to be definitively established.

Methods
This retrospective study included a cohort of 266 pediatric subjects from January 1, 2015, to December 31, 2022, who underwent flexible bronchoscopy for the purpose of FB extraction. In this cohort, the supraglottic airway was used to connect the anesthesia apparatus during the removal procedure.

Results
In total, 45 of the pediatric patients (16.9%) experienced episodes of hypoxemia during the FB removal procedure. Multivariate analysis revealed that the following factors were significantly associated with the occurrence of hypoxemia: an operation time exceeding 60 min (odds ratio [OR] 8.55; 95% confidence interval [CI] 3.82–19.13), a maximum diameter exceeding 7 mm (OR 5.03; 95% CI, 2.24–11.29), and the presence of radiological evidence indicating pneumonia (OR 2.69; 95% CI, 1.27–5.69).

Conclusion
During flexible bronchoscopy procedures aimed at FB removal in pediatric patients, there is an increased susceptibility to hypoxemia. Factors including extended operation duration, larger FB dimensions, and radiographic evidence suggestive of pneumonia significantly contribute to a heightened risk of hypoxemia.
Factors influencing stress and resilience among Egyptian medical students: a multi-centric cross-sectional study
Authors: Mohammed Hazem E. , Bady Zeyad , Abdelhamid Zeinab G. , Elawfi Bashaer , AboElfarh Hadeer Elsaeed , Elboraay Toka , Abdel-Salam Doaa Mazen 
Published: May 2024

Abstract
Background
Psychological stress is a common psychological comorbidity among medical students and worsens their quality of life. Psychological resilience is thought to have a protective role against stress. However, evidence regarding the prevalence of stress and resilience alongside their associated factors is scarce, especially in the Middle East. This is the first multicenter, cross-sectional study to investigate resilience and stress among Egyptian medical students.

Methods
The current cross-sectional study was conducted on 2465 university students in seven public universities in Egypt. The universities were selected using the simple randomization method. The data was collected using a self-administered questionnaire consisting of four parts: demographic data, socioeconomic tool represented in the Family Affluence Scale (FAS), the Kessler Psychological Distress Scale (K10), and the Brief Resilience Scale (BRS). Data was analyzed in SPSS version 26 software.

Results
The majority of the students were stressed (86.5%), most of whom had severe stress (48.9%). Most of the students had low resilience (49.9%), while only 3.2% had high resilience. In the logistic regression analysis, being a female, living alone, spending long hours on social media, and thinking of suicide or leaving medicine were associated with being stressed and having low resilience. Medical students with low resilience were significantly more liable to stress [Adjusted odds ratio (AOR) = 3.667, confidence interval (CI): 2.709–4.965, P = 0.000], and vice versa [AOR = 3.709, CI: 2.746–5.009, P = 0.000]. Interestingly, high socioeconomic status showed a significant association with high resilience (P = 0.004); nonetheless, it was not associated with stress (P = 0.993). Academic grades were not associated with both the level of stress and resilience. Aging, being in clinical or academic stages, smoking, having a chronic disease, and being financially-supported are neither associated with stress nor resilience.

Conclusions
The present study revealed that Egyptian medical students had low resilience and high stress, with a significant relationship between both of them. Further investigations via longitudinal study design to understand the resilience-stress relationship are recommended. Developing and implementing resilience-improving strategies in medical schools is highly recommended to decrease the prevalence of stress and its subsequent burdens.
Energy, nutrient and overall healthiness of processed packaged foods in Fiji, a comparison between 2018 and 2020
Authors: Palu Aliyah , Santos Joseph Alvin , Silatolu Ana Moala , Deo Alvina , Bell Colin , Waqa Gade , Webster Jacqui , McKenzie Briar L. 
Published: May 2024

AbstractIn Fiji, packaged foods are becoming increasingly available. However, it is unknown if nutrition composition of these foods has changed. This study aims to assess changes in energy, nutrient content and healthiness of packaged foods by comparing data from five major supermarkets in Fiji in 2018 and 2020. Foods were categorised into 14 groups; nutrient composition information was extracted and healthiness assessed using Health Star Rating (HSR). Descriptive statistics and a separate matched products analysis was conducted summarising differences in nutrient content and HSR. There was limited evidence of change in the nutrient content of included products however, there was a small reduction in mean saturated fat in the snack food category (-1.0 g/100 g, 95% CI -1.6 to -0.4 g/100 g). The proportion of products considered healthy based on HSR, increased in the convenience foods category (28.4%, 95% CI 8.3 to 48.5) and decreased in non-alcoholic beverages (-35.2%, 95% CI -43.6 to -26.9). The mean HSR score increased in the fruit and vegetables category (0.1 (95% CI 0.1, 0.2)) and decreased for non-alcoholic beverages (-1.1 (-1.3, -0.9)) and the sauces, dressings, spreads, and dips category (-0.3 (-0.3, -0.2)). Strengthened monitoring of the food supply is needed to improve the healthiness of foods available.
Determinants of premenstrual dysphoric disorder and associated factors among regular undergraduate students at Hawassa University Southern, Ethiopia, 2023: institution-based cross-sectional study
Authors: Chekol Aklile Tsega , Reta Yared , Ayinewa Fikadu , Hailu Lielina , Tesema Mulualem , Wale Mastewal Aschale 
Published: May 2024

Abstract
Background
Premenstrual dysphoric disorder (PMDD) is a condition causing severe emotional, physical, and behavioral symptoms before menstruation. It greatly hinders daily activities, affecting academic and interpersonal relationships. Attention is not given to premenstrual disorders among female students in higher education. As a result, students are susceptible to stress, and their academic success is influenced by various factors, including their menstrual cycle, and the long-term outcomes and consequences are poorly researched. Even though PMDD has a significant negative impact on student’s academic achievement and success limited research has been conducted in low- and middle-income countries including Ethiopia, especially in the study setting. Therefore, a study is needed to assess premenstrual dysphoric disorder and associated factors among regular undergraduate students at Hawassa University.

Methods
An institutional-based cross-sectional study was conducted among 374 regular undergraduate female students at Hawassa University, College of Medicine and Health Sciences. A self-administered structured premenstrual symptoms screening tool for adolescents was used to assess premenstrual dysphoric disorder. The collected data were loaded into a statistical package for the social science version 25 and analyzed using it. Both bivariate and multivariate logistic regression were used to identify factors associated with premenstrual dysphoric disorder. Each independent variable was entered separately into bivariate analysis, and a variable with a p-value less than 0.25 were included in the multivariate analysis to adjust the possible confounders. Statistically significant was declared at a 95% confidence interval when variable with a p-value less than 0.05 in the multivariate analysis with premenstrual dysphoric disorder.

Results
The magnitude of premenstrual dysphoric disorder in this study was 62.6% (95% CI 57.4–67.5). Having severe premenstrual pain (AOR = 6.44;95%CI 1.02–40.73), having irregular menstrual cycle (AOR = 2.21; 95% CI 1.32–3.70), students who had poor social support (AOR = 5.10;95%CI, (2.76–12.92) and moderate social support (AOR = 4.93;95%CI (2.18–11.18), and students who used contraception (AOR = 3.76;95%CI, 2.21-6,40) were statistically significant factors with the outcome variable.

Conclusion
The prevalence of premenstrual dysphoric disorder was high as compared to other studies. There was a strong link between irregular menstrual cycle, severe menstrual pain (severe dysmenorrhea), poor social support, and contraception use with premenstrual dysphoric disorder. This needs early screening and intervention to prevent the complications and worsening of the symptoms that affect students’ academic performance by the institution.
Machine learning algorithms using national registry data to predict loss to follow-up during tuberculosis treatment
Authors: Rodrigues Moreno M. S. , Barreto-Duarte Beatriz , Vinhaes Caian L. , Araújo-Pereira Mariana , Fukutani Eduardo R. , Bergamaschi Keityane Bone , Kristki Afrânio , Cordeiro-Santos Marcelo , Rolla Valeria C. , Sterling Timothy R. , Queiroz Artur T. L. , Andrade Bruno B. 
Published: May 2024

Abstract
Background
Identifying patients at increased risk of loss to follow-up (LTFU) is key to developing strategies to optimize the clinical management of tuberculosis (TB). The use of national registry data in prediction models may be a useful tool to inform healthcare workers about risk of LTFU. Here we developed a score to predict the risk of LTFU during anti-TB treatment (ATT) in a nationwide cohort of cases using clinical data reported to the Brazilian Notifiable Disease Information System (SINAN).

Methods
We performed a retrospective study of all TB cases reported to SINAN between 2015 and 2022; excluding children (< 18 years-old), vulnerable groups or drug-resistant TB. For the score, data before treatment initiation were used. We trained and internally validated three different prediction scoring systems, based on Logistic Regression, Random Forest, and Light Gradient Boosting. Before applying our models we splitted our data into training (~ 80% data) and test (~ 20%) sets, and then compared the model metrics using the test data set.

Results
Of the 243,726 cases included, 41,373 experienced LTFU whereas 202,353 were successfully treated. The groups were different with regards to several clinical and sociodemographic characteristics. The directly observed treatment (DOT) was unbalanced between the groups with lower prevalence in those who were LTFU. Three models were developed to predict LTFU using 8 features (prior TB, drug use, age, sex, HIV infection and schooling level) with different score composition approaches. Those prediction scoring systems exhibited an area under the curve (AUC) ranging between 0.71 and 0.72. The Light Gradient Boosting technique resulted in the best prediction performance, weighting specificity and sensitivity. A user-friendly web calculator app was developed (https://tbprediction.herokuapp.com/) to facilitate implementation.

Conclusions
Our nationwide risk score predicts the risk of LTFU during ATT in Brazilian adults prior to treatment commencement utilizing schooling level, sex, age, prior TB status, and substance use (drug, alcohol, and/or tobacco). This is a potential tool to assist in decision-making strategies to guide resource allocation, DOT indications, and improve TB treatment adherence.
Public perspectives on COVID-19 public health and social measures in Japan and the United Kingdom: a qualitative study
Authors: Kawamitsu Saki , Win Tin Zar , Han Su Myat , Nakamura Tomoka , Jogie Melissa , Smith Chris 
Published: May 2024

Abstract
Background
The COVID-19 pandemic, caused by SARS-CoV-2, was one of the greatest modern public health crises that the world has faced. Countries undertook sweeping public health and social measures (PHSM); including environmental actions such as disinfection and ventilation; surveillance and response, such as contact tracing and quarantine; physical, such as crowd control; and restrictions on travel. This study focuses on the public perceptions of PHSM in two countries, Japan and the United Kingdom (UK) as examples of high-income countries that adopted different measures over the course of the pandemic.

Methods
This study was conducted between November 2021 and February 2022, a period in which the Omicron variant of SARS-CoV-2 was predominant. Fourteen online focus group discussions were conducted in each country. Overall, 106 total participants (50 from the UK and 56 from Japan) participated in 23 focus groups (11 in the UK and 12 in Japan) with an average of three to six participants per group. Both countries were compared using a thematic analysis method.

Results
Both countries’ participants agreed that vaccination was an effective measure. However, they did not favor mandatory vaccination policies. Working from home was well accepted by both sides, but they reported that schools should have continued to be opened as before COVID-19. Both sides of participants expressed that temperature testing alone in indoor facilities was ineffective as a COVID-19 control measure. There were contrasting views on face covering rules in public spaces, international and domestic movement restrictions. High acceptance of mask-wearing was reflective of Japanese customs, while it was accepted as a strong recommendation for participants in the UK. Japanese participants favored quarantine for international travel, while the UK participants supported banning non-essential travel.

Conclusion
Similar and contrasting views on PHSM against COVID-19 between Japan and the UK demonstrated how policies in controlling an epidemic should be tailored by country with respect to its norms, cultures, economic and disease burden. Our findings may guide how policy makers can engage with the public through effective health communication and consider regulations that are aligned with the public’s views and capacities in changing their behavior for future pandemic preparedness.
Socio-demographic predictors of not having private dental insurance coverage: machine-learning algorithms may help identify the disadvantaged
Authors: Duvvuri Venkata R. , Abdelrehim Mona , Singhal Sonica 
Published: May 2024

Abstract
Background
For accessing dental care in Canada, approximately 62% of the population has employment-based insurance, 6% have some publicly funded coverage, and 32% have to pay out-of pocket. Those with no insurance or public coverage find dental care more unaffordable compared to those with private insurance. To support the development of more comprehensive publicly funded dental care programs, it is important to understand the socio-demographic attributes of all those, who find dental care unaffordable.

Methods
This study is a secondary analysis of the data collected from Ontarians during the latest available cycle of the Canadian Community Health Survey (2017-18), a cross-sectional survey that collects information on health status, health care utilization, and health determinants for the Canadian population. First, bivariate analysis was conducted to determine the characteristics of Ontarians who lack dental insurance. Afterwards, we employed machine learning (ML) to analyze data and identify risk indicators for not having private dental insurance. Specifically, we trained several supervised ML models and utilized Shapley additive explanations (SHAP) to determine the relative feature importance for not having private dental insurance from the best ML model [the gradient boosting (GBM)].

Results
Approximately one-third of Ontarians do not have private insurance coverage for dental care. Individuals with an income below $20,000, those unemployed or working part-time, seniors aged above 70, and those unable to afford to have their own housing are more at risk of not having private dental insurance, leading to financial barriers in accessing dental care.

Conclusion
In the future, government-funded programs can incorporate these identified risk indicators when determining eligible populations for publicly funded dental programs. Understanding these attributes is critical for developing targeted and effective interventions, ensuring equitable access to dental care for Canadians.
The effect of replacing sedentary behavior with different intensities of physical activity on depression and anxiety in Chinese university students: an isotemporal substitution model
Authors: Zhou Yulan , Huang Zan , Liu Yanjie , Liu Dongao 
Published: May 2024

Abstract
Background
Previous research has suggested that engaging in regular physical activity (PA) can help to reduce symptoms of depression and anxiety in university students. However, there is a lack of evidence regarding the impact of reducing sedentary behavior (SB) and increasing light-intensity PA (LPA) on these symptoms. This study aims to address this gap by using isotemporal substitution (IS) models to explore how substituting SB with LPA or moderate-to-vigorous PA (MVPA) affects depression and anxiety symptoms among university students.

Methods
The study recruited 318 university students with a mean age of 21.13 years. Accelerometers were used to objectively measure the time spent on SB, LPA, and MVPA, while depression and anxiety symptoms were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D) and the Self-rating Anxiety Scale (SAS). IS models using multivariable linear regression were employed to estimate the associations between different behaviors and depression and anxiety symptoms when 30 min of one behavior was substituted with another.

Results
In the single-activity model, less SB (β = 0.321, 95% CI: 0.089, 1.297) and more MVPA (β = −0.142, 95% CI: −1.496, − 0.071) were found to be significantly and negatively associated with depression scores, while less SB (β = 0.343, 95% CI: 0.057, 1.014), LPA (β = 0.132, 95% CI: 0.049, 1.023), and more MVPA (β = −0.077, 95% CI: −1.446, − 0.052) were significantly and negatively correlated with anxiety scores. The IS analysis revealed that substituting 30 min of SB with LPA (β = −0.202, 95% CI: −1.371, − 0.146) or MVPA (β = −0.308, 95% CI: −0.970, − 0.073) was associated with improvements in depressive symptoms. Substituting 30 min of SB with MVPA (β = −0.147, 95% CI: −1.863, − 0.034) was associated with reduced anxiety symptoms.

Conclusion
Replacing 30 min of SB with MVPA may alleviate depression and anxiety symptoms in university students. Further research is needed to explore the long-term effects of PA interventions on the mental health disorders of this population.
Machine learning classifier is associated with mortality in interstitial lung disease: a retrospective validation study leveraging registry data
Authors: Selvan Kavitha C. , Reicher Joshua , Muelly Michael , Kalra Angad , Adegunsoye Ayodeji 
Published: May 2024

Abstract
Background
Mortality prediction in interstitial lung disease (ILD) poses a significant challenge to clinicians due to heterogeneity across disease subtypes. Currently, forced vital capacity (FVC) and Gender, Age, and Physiology (GAP) score are the two most utilized metrics in prognostication. Recently, a machine learning classifier system, Fibresolve, designed to identify a variety of computed tomography (CT) patterns associated with idiopathic pulmonary fibrosis (IPF), was demonstrated to have a significant association with mortality across multiple subtypes of ILD. The purpose of this follow-up study was to retrospectively validate these findings in a large, external cohort of patients with ILD.

Methods
In this multi-center validation study, Fibresolve was applied to chest CT scans of patients with confirmed ILD that had available follow-up data. Fibresolve scores categorized by tertile were analyzed using Cox regression analysis adjusted for tobacco use and modified GAP (mGAP) score.

Results
Of 643 patients included, 446 (69.3%) died over a median follow-up time of 144 [1-821] weeks. The median [range] mGAP score was 5 [3–7]. In multivariable analysis, Fibresolve score categorized by tertile was significantly associated with mortality (Tertile 2 HR 1.47, 95% CI 0.82–2.37, p = 0.11; Tertile 3 HR 3.12, 95% CI 1.98–4.90, p < 0.001). Subgroup analyses revealed significant associations amongst those with non-IPF ILDs (Tertile 2 HR 1.95, 95% CI 1.28–2.97, Tertile 3 HR 4.66, 95% CI 2.94–7.38) and severe disease, defined by a FVC ≤ 75% (Tertile 2 HR 2.29, 95% CI 1.43–3.67, Tertile 3 HR 4.80, 95% CI 2.93–7.86).

Conclusions
Fibresolve is independently associated with mortality in ILD, particularly amongst patients with non-IPF ILDs and in those with severe disease.