bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hidden costs, hidden lives: Financial effects of fatal work injuries on families
Authors: Matthews Lynda R , Quinlan Michael , Jessup Glenda M , Bohle Philip 
Published: July 2022

AbstractAlthough workplace death is known to have profound social and psychological effects on families, the economic consequences have not been explored. This pioneering study investigated families’ financial situations following fatal workplace injuries. An online survey explored the impact of post-death financial change on 142 participants from Australia, Canada, the USA, and the UK using a scale from the economic strain model. Half of the participants experienced financial loss, and the proportion struggling financially increased from 24% to 62% after the death. Workers’ compensation claims were made by 74% of participants, but they reported problems with delays, levels of entitlement, and satisfaction with the scheme. Other key sources of assistance were family and friends or support groups and services. Participants who were older, next-of-kin, and partner/spouses were significantly more likely to experience financial loss as were those whose deceased relative worked 51+ hours per week, possibly because the deceased was self-employed or worked significant overtime not covered by compensation settlements. Those experiencing financial loss sought short- and long-term financial help, accessed social security, re-entered the workforce, acquired mental disorders, and experienced declines in physical health, at significantly higher rates than participants without financial loss, and their children developed mental health problems significantly more often. Findings highlight the detrimental, and potentially intergenerational, effects of financial loss on the health and wellbeing of families bereaved by traumatic workplace deaths. Policy issues flowing from the results are discussed, including how this informs wider debates on refashioning regulatory protection.
Use of benzodiazepine and related drugs in migrants and Finnish-born persons: a nationwide register-based study
Authors: Lehti Venla , Salama Essi , Niemelä Solja , Tanskanen Antti , Gissler Mika , Suvisaari Jaana , Taipale Heidi 
Published: July 2022

Aims: Benzodiazepines and related drugs (BZDR) are often used longer than generally recommended. The aim is to study patterns of use among migrant and Finnish-born users of BZDR, and to identify factors that are associated with long-term use and BZDR polytherapy. Methods: This register-based study includes a nationwide sample of migrants ( n=8729) and their Finnish-born controls ( n=11 388) who had purchased BZDR in 2011–2014, but not in 2009–2010. Information on drug purchases was obtained from the National Prescription Register and the duration of drug use was estimated using PRE2DUP method. The main outcomes were long-term use of BZDR, polytherapy and time until discontinuation of BZDR use. Sociodemographic variables and information on preceding psychiatric diagnoses were included as covariates. Logistic and Cox regression analyses were the statistical methods used. Results: Only migrants from Sub-Saharan Africa were more likely to discontinue the medication once initiated than Finnish-born users. Migrants were significantly less likely to be long-term users (adjusted odds ratio 0.79, 95% CI 0.70–0.89) or polytherapy users (aOR 0.90, 95% CI 0.84–0.97) of BZDR compared with Finnish-born participants. Conclusions: Migrants had less long-term and concomitant use of several BZDR than Finnish-born participants. The pattern of use is more optimal among migrants, but it may also reflect poorer access to mental health treatment.
Fitness of real-world data for clinical trial data collection: Results and lessons from a HARMONY Outcomes ancillary study
Authors: Hammill Bradley G , Leimberger Jeffrey D , Lampron Zachary , Raman Sudha R , O’Brien Emily C , Wurst Keele E , Mountcastle Sally , Cunnington Marianne , Janmohamed Salim , Curtis Lesley H 
Published: July 2022

Background Despite the extensive use of real-world data for retrospective, observational clinical research, our understanding of how real-world data might increase the efficiency of data collection in patient-level randomized clinical trials is largely unknown. The structure of real-world data is inherently heterogeneous, with each source electronic health record and claims database different from the next. Their fitness-for-use as data sources for multisite trials in the United States has not been established. Methods For a subset of participants in the HARMONY Outcomes Trial, we obtained electronic health record data from recruiting sites or Medicare claims data from the Centers for Medicare & Medicaid Services. For baseline characteristics and follow-up events, we assessed the level of agreement between these real-world data and data documented in the trial database. Results Real-world data-derived demographic information tended to agree with trial-reported demographic information, although real-world data were less accurate in identifying medical history. The ability of real-world data to identify baseline medication usage differed by real-world data source, with claims data demonstrating substantially better performance than electronic health record data. The limited number of lab results in the collected electronic health record data matched closely with values in the trial database. There were not enough follow-up events in the ancillary study population to draw meaningful conclusions about the performance of real-world data for identification of events. Based on the conduct of this ancillary study, the challenges and opportunities of using real-world data within clinical trials are discussed. Conclusion Based on a subset of participants from the HARMONY Outcomes Trial, our results suggest that electronic health record or claims data, as currently available, are unlikely to be a complete substitute for trial data collection of medical history or baseline lab results, but that Medicare claims were able to identify most medications. The limited size of the study population prevents us from drawing strong conclusions based on these results, and other studies are clearly needed to confirm or refute these findings.
Continuous Glucose Profiles in Healthy People With Fixed Meal Times and Under Everyday Life Conditions
Authors: Freckmann Guido , Schauer Sebastian , Beltzer Anne , Waldenmaier Delia , Buck Sina , Baumstark Annette , Jendrike Nina , Link Manuela , Zschornack Eva , Haug Cornelia , Pleus Stefan 
Published: July 2022

Background: The increased use of continuous glucose monitoring (CGM) and automated insulin delivery systems raises the question about therapeutic targets for glucose profiles in people with diabetes. This study aimed to assess averaged pre- and postprandial glucose profiles in people without diabetes to provide guidance for normal glucose patterns in clinical practice. For that, number and timing of meal intake were predefined. Material and Methods: To assess glucose traces in 36 participants without diabetes (mean age = 23.7 ± 5.7 years), CGM was performed for up to 14 days, starting with a run-in phase (first 3 days, excluded from analysis) followed by 4 days with fixed meal times at 8:00 am, 1:00 pm, and 6:00 pm and the remaining 7 days spent under everyday life conditions. Data from two simultaneously worn CGM sensors were averaged and adjusted to capillary plasma-equivalent glucose values. Glucose data were evaluated through descriptive statistics. Results: Median glucose concentration on days with fixed meal times and under everyday life conditions was 95.0 mg/dL (91.6-99.1 mg/dL, interquartile range) and 98.1 mg/dL (93.7-100.8 mg/dL), respectively. On days with fixed meal times, mean premeal glucose was 92.8 ± 9.4 mg/dL, and mean peak postmeal glucose was 143.3 ± 23.5 mg/dL. Conclusions: By defining the time of meal intake, a clear pattern of distinct postprandial glucose excursions in participants without diabetes could be demonstrated and analyzed. The presented glucose profiles might be helpful as an estimate for adequate clinical targets in people with diabetes.
Odontogenic Sinusitis is a Common Cause of Operative Extra-Sinus Infectious Complications
Authors: Douglas Jennifer E. , Patel Tapan , Rullan-Oliver Bianca , Ungerer Heather , Hinh Lisa , Peterson Edward L. , Kohanski Michael A. , Kennedy David W. , Palmer James N. , Adappa Nithin D. , Craig John R. 
Published: July 2022

Background Orbital, intracranial, and osseous extra-sinus complications can arise from bacterial or fungal sinusitis. Odontogenic sinusitis (ODS) can cause extra-sinus complications, but its prevalence remains poorly characterized. Objective To determine the frequency of ODS as a cause of operative extra-sinus infectious complications and describe clinical features of all complicated sinusitis cases. Methods A multi-institutional retrospective review was performed on all operative sinusitis-related extra-sinus complications from 2011 to 2020. ODS was diagnosed by sinus computed tomography (CT) and dental evaluations when available. Demographics, complication types, sinusitis etiologies, and various clinical features were analyzed. Results Forty-five patients were included (mean age 55.5 years, 56% male). Of the extra-sinus complications, 40% were orbital only, 22% intracranial only, 13% osseous only, and 25% involved combined complications. The 2 most common causes of extra-sinus complications were ODS (40%) and mucopyocele (27%). When invasive fungal etiologies were excluded, and only unilateral maxillary opacification on CT was considered, nearly 60% of extra-sinus complications were due to ODS. Unilateral maxillary sinus opacification on CT was present in 100% of complicated ODS compared to 44% of nonodontogenic cases, and oral anaerobes were only identified in ODS cases. No complicated ODS patients underwent dental interventions during hospitalization. Conclusion ODS was the most common cause of operative extra-sinus infectious complications. Clinicians should consider ODS high on the differential diagnosis of all patients presenting with complicated sinusitis, especially when sinusitis is unilateral and invasive fungal infection is not suspected.
The linkage between cognitive diversity and team innovation: Exploring the roles of team humor styles and team emotional intelligence via the conservation of resources theory
Authors: Nguyen Phong T. , Sanders Karin , Schwarz Gavin M. , Rafferty Alannah E. 
Published: July 2022

Researchers have displayed considerable interest in how and when team cognitive diversity leads to improved or impaired team innovation. When addressing this issue, scholars have adopted the information/decision making and social categorization theoretical perspectives. In contrast, we draw on conservation of resources (COR) theory when examining the cognitive diversity and team innovation relationship. We argue that in a team environment, cognitive diversity may result in the threat of losing valuable resources. This threat, in turn, encourages team members to engage in resource replenishment through the use of different humor styles (i.e., affiliative, self-enhancing, aggressive, self-defeating). We argue that, with such resource replenishment, four team-level humor styles emerge and mediate the relationship between cognitive diversity and team innovation. In addition, we expect team emotional intelligence to moderate the relationships between cognitive diversity and team humor styles. Our model has important theoretical implications for team diversity, humor, emotional intelligence, and innovation research. Team cognitive diversity can be defined as the extent to which team members differ in their ideas, perspectives, or values. Cognitive diversity is important for teams to cultivate innovation although it may also result in relationship conflicts and the formation of subgroups in a team. Our paper views cognitive diversity as a signal that drives team members to use humor to cope with diversity. This may then result in different humor styles (i.e., affiliative, self-enhancing, aggressive, self-defeating) that characterize the way the team uses humor. For instance, while working in a cognitively diverse team, team members might make a joke about work that the whole team laughs together (i.e., affiliative humor). However, some members might use sarcasm to insult others who are different from the group norms (i.e., aggressive humor). We argue that the team humor styles will influence team innovation, which in turn will link cognitive diversity with team innovation. Moreover, we suggest that team emotional intelligence will influence the extent to which the four team humor styles link cognitive diversity and team innovation.
Online Network Formation Among Students During COVID-19: Analysing Path Dependency in a Natural Experimental Setting
Authors: Namhata Anindita , Kalikote Anugraha , Paul Sudipta , Husain Zakir 
Published: July 2022

The onset of COVID-19 in 2020 led to the closure of educational institutions and a shift to online teaching in India. It provides a natural experiment setting in which to examine the formation of endogenous ties among students and analyses the path-dependent nature of such a process. Information on sources of academic assistance was collected from members of two groups of students enrolled in the postgraduate course of the Economics Department of an Indian University using Google forms. The information was analysed using standard measures employed in social network analysis, such as sociograms, centrality measures, and homophily index. We show that, contrary to expectations, inheriting ties can constrain actors from forming ties that optimize outcomes. JEL Codes: D85, I20
The Accuracy of Lung Ultrasonography Diagnosis of Community-Acquired Pneumonia, in an Adult Cohort
Authors: Mehrabi Samrad , Rahmanian Jila , Jalli Reza 
Published: July 2022

Objective: Community-acquired pneumonia (CAP) is a common respiratory infection, and diagnosis is frequently performed using a chest radiography (CXR). Sonography is an available method with less radiation exposure, but has not been confirmed for diagnosis of CAP. The objective was to compare the diagnostic accuracy of sonography. Materials and Methods: In this cross-sectional study, 90 adult patients (aged >18 years) were admitted to the emergency department of two university-affiliated hospitals in Southwest Iran, from July to December 2019, with a confirmed diagnosis of CAP. The patient symptoms and CXR results were included as part of this study. Within 24 hours after obtaining a CXR, a lung ultrasonogram (LUS) was performed. The diagnostic accuracy of semiquantitative LUS (SQLUS) was compared with CXR results using the Pearson chi-square test and Fisher’s exact test. Results: The mean age of participants was 52.98 ± 16.77 years. 51 were men (56.7%). 28 patients (31.1%), who had abnormal SQLUS results, were not associated with CXR findings ( P = .296). SQLUS showed poor diagnostic accuracy for LUS (31.11%). Conclusion: This study results could not confirm LUS as an accurate method for diagnosing CAP in adult patients; although due to the convenient sample of adults and clinical-based diagnosis of CAP, any generalization of the results should be made with caution.
Conversion of failed internal fixation in proximal femur fractures using calcar-guided short-stem total hip arthroplasty
Authors: Afghanyar Yama , Coutandin Marcel , Schneider Michael , Drees Philipp , Kutzner Karl Philipp 
Published: July 2022

Abstract
Purpose
Reoperations for secondary osteoarthritis, osteonecrosis, or hardware failure following failed internal fixation after intertrochanteric fracture (ITF) or femoral neck fracture (FNF) are common. An effective salvage treatment often involves complete removal of the hardware followed by total hip arthroplasty (THA). Almost no data are available regarding conversion to short-stem THA. This study aimed to evaluate clinical and radiological outcomes, potential complications, and the survival rate of short-stem THA following revision surgery.

Methods
We investigated 27 patients who underwent conversion THA using a calcar-guided short stem. Patient-reported outcome measurements were obtained, including the Harris hip score, the Western Ontario and McMaster Universities Osteoarthritis Index, as well as pain and satisfaction on the visual analogue scale. Radiological follow-up was also performed.

Results
We identified 18 (66.7%) patients diagnosed with FNF and 9 (33.3%) patients with ITF. Clinical and radiological outcomes were satisfactory at the last follow-up (30.56 ± 11.62 months). One patient required early revision surgery due to dislocation and greater trochanter fracture. At the last follow-up, none of the short stems required revision. No other major complications occurred.

Conclusion
Given the low rate of complications and 100% survival, our findings indicate that short stems for conversion THA due to failed internal fixation may be considered an option in a properly selected patient population. However, it should not be considered a standard procedure and should only be performed by experienced surgeons.
Retro-inversion follicle-stimulating hormone peptide-modified nanoparticles for delivery of PDK2 shRNA against chemoresistant ovarian cancer by switching glycolysis to oxidative phosphorylation
Authors: Zhang Meng , Du Ming , Qi Xingling , Wang Yumeng , Li Guiling , Xu Congjian , Zhang Xiaoyan 
Published: July 2022

AbstractBackgroundMost ovarian cancers are diagnosed at advanced stages characterized by abdominal dissemination and frequently exhibit chemoresistance. Pyruvate dehydrogenase kinase 2 (PDK2) regulates the switch between glycolysis and oxidative phosphorylation and contributes to tumor progression and chemoresistance. Here, we investigated the effects of PDK2 blockade on metabolic reprogramming and cisplatin sensitivity and evaluated the in vivo antitumor effects of PDK2 shRNA in chemoresistant ovarian cancer using retro-inverso follicle-stimulating hormone peptide-modified nanoparticle as carriers.MethodsThe expression of PDK2 was detected by immunohistochemistry, Western blot and real-time PCR. Cell proliferation and apoptosis were detected using CCK-8 and flow cytometry. Cell migration was detected by Transwell assay. Seahorse Analyzer was used to evaluate metabolic changes. The cisplatin-resistant ovarian cancer cells A2780cp were used to establish the mouse model of peritoneal metastatic ovarian cancer.ResultsA higher expression level of PDK2 was observed in chemoresistant ovarian cancer tissues and cell lines and was associated with shorter progression-free survival. PDK2 knockdown inhibited proliferation and migration and promoted apoptosis of both cisplatin-sensitive and cisplatin-resistant ovarian cancer cells. Cisplatin sensitivity was increased even in cisplatin-resistant ovarian cancer cells. Mechanistically, PDK2 knockdown resulted in an increased oxygen consumption rate and decreased extracellular acidification rate, along with reduced lactate production, increased PDHC activity and increased levels of electron transport chain complexes III and V. The metabolism switched from glycolysis to oxidative phosphorylation. Finally, to specifically and effectively deliver PDK2 shRNA in vivo, we formulated a targeted delivery system containing retro-inverso follicle-stimulating hormone peptide as a targeting moiety and polyethylene glycol–polyethylenimine copolymers as carriers. The nanoparticle complex significantly suppressed tumor growth and peritoneal metastasis of cisplatin-resistant ovarian cancer without obvious toxicities.ConclusionsOur findings showed the link between metabolic reprogramming and chemoresistance in ovarian cancer and provided an effective targeting strategy for switching metabolic pathways in cancer therapy.
HIMA2: high-dimensional mediation analysis and its application in epigenome-wide DNA methylation data
Authors: Perera Chamila , Zhang Haixiang , Zheng Yinan , Hou Lifang , Qu Annie , Zheng Cheng , Xie Ke , Liu Lei 
Published: July 2022

AbstractMediation analysis plays a major role in identifying significant mediators in the pathway between environmental exposures and health outcomes. With advanced data collection technology for large-scale studies, there has been growing research interest in developing methodology for high-dimensional mediation analysis. In this paper we present HIMA2, an extension of the HIMA method (Zhang in Bioinformatics 32:3150–3154, 2016). First, the proposed HIMA2 reduces the dimension of mediators to a manageable level based on the sure independence screening (SIS) method (Fan in J R Stat Soc Ser B 70:849–911, 2008). Second, a de-biased Lasso procedure is implemented for estimating regression parameters. Third, we use a multiple-testing procedure to accurately control the false discovery rate (FDR) when testing high-dimensional mediation hypotheses. We demonstrate its practical performance using Monte Carlo simulation studies and apply our method to identify DNA methylation markers which mediate the pathway from smoking to reduced lung function in the Coronary Artery Risk Development in Young Adults (CARDIA) Study.
Pan-cancer integrative analysis of whole-genome De novo somatic point mutations reveals 17 cancer types
Authors: Ghareyazi Amin , Kazemi Amirreza , Hamidieh Kimia , Dashti Hamed , Tahaei Maedeh Sadat , Rabiee Hamid R. , Alinejad-Rokny Hamid , Dehzangi Iman 
Published: July 2022

AbstractBackgroundThe advent of high throughput sequencing has enabled researchers to systematically evaluate the genetic variations in cancer, identifying many cancer-associated genes. Although cancers in the same tissue are widely categorized in the same group, they demonstrate many differences concerning their mutational profiles. Hence, there is no definitive treatment for most cancer types. This reveals the importance of developing new pipelines to identify cancer-associated genes accurately and re-classify patients with similar mutational profiles. Classification of cancer patients with similar mutational profiles may help discover subtypes of cancer patients who might benefit from specific treatment types.ResultsIn this study, we propose a new machine learning pipeline to identify protein-coding genes mutated in many samples to identify cancer subtypes. We apply our pipeline to 12,270 samples collected from the international cancer genome consortium, covering 19 cancer types. As a result, we identify 17 different cancer subtypes. Comprehensive phenotypic and genotypic analysis indicates distinguishable properties, including unique cancer-related signaling pathways.ConclusionsThis new subtyping approach offers a novel opportunity for cancer drug development based on the mutational profile of patients. Additionally, we analyze the mutational signatures for samples in each subtype, which provides important insight into their active molecular mechanisms. Some of the pathways we identified in most subtypes, including the cell cycle and the Axon guidance pathways, are frequently observed in cancer disease. Interestingly,we also identified several mutated genes and different rates of mutation in multiple cancer subtypes. In addition, our study on “gene-motif” suggests the importance of considering both the context of the mutations and mutational processes in identifying cancer-associated genes. The source codes for our proposed clustering pipeline and analysis are publicly available at:https://github.com/bcb-sut/Pan-Cancer.