bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research Progress of Pharmacogenomics in Drug-Induced Liver Injury
Authors: Shao Qihui , Mao Xinyu , Zhou Zhixuan , Huai Cong , Li Zhiling 
Published: September 2021

Background: Drug-induced liver injury (DILI) is a common and serious adverse drug reaction with insufficient clinical diagnostic strategies and treatment methods. The only clinically well-received method is the Roussel UCLAF Causality Assessment Method scale, which can be applied to both individuals and prospective or retrospective studies. However, in severe cases, patients with DILI still would develop acute liver failure or even death. Pharmacogenomics, a powerful tool to achieve precision medicine, has been used to study the polymorphism of DILI related genes.Summary: We summarized the pathogenesis of DILI and findings on associated genes and variations with DILI, including but not limited to HLA genes, drug metabolizing enzymes, and transporters genes, and pointed out further fields for DILI related pharmacogenomics study to provide references for DILI clinical diagnosis and treatment.Key Messages: At present, most of the studies are mainly limited to CGS and GWAS, and there is still a long way to achieve clinical transformation. DNA methylation could be a new consideration, and ethnic differences and special populations also deserve attention.
Biomechanical Response of the Lower Extremity to Running-Induced Acute Fatigue: A Systematic Review
Authors: Apte Salil , Prigent Gäelle , Stöggl Thomas , Martínez Aaron , Snyder Cory , Gremeaux-Bader Vincent , Aminian Kamiar 
Published: September 2021

Objective: To investigate (i) typical protocols used in research on biomechanical response to running-induced fatigue, (ii) the effect of sport-induced acute fatigue on the biomechanics of running and functional tests, and (iii) the consistency of analyzed parameter trends across different protocols.Methods: Scopus, Web of Science, Pubmed, and IEEE databases were searched using terms identified with the Population, Interest and Context (PiCo) framework. Studies were screened following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and appraised using the methodological index for non-randomized studies MINORS scale. Only experimental studies with at least 10 participants, which evaluated fatigue during and immediately after the fatiguing run were included. Each study was summarized to record information about the protocol and parameter trends. Summary trends were computed for each parameter based on the results found in individual studies.Results: Of the 68 included studies, most were based on in-lab (77.9%) protocols, endpoint measurements (75%), stationary measurement systems (76.5%), and treadmill environment (54.4%) for running. From the 42 parameters identified in response to acute fatigue, flight time, contact time, knee flexion angle at initial contact, trunk flexion angle, peak tibial acceleration, CoP velocity during balance test showed an increasing behavior and cadence, vertical stiffness, knee extension force during MVC, maximum vertical ground reaction forces, and CMJ height showed a decreasing trend across different fatigue protocols.Conclusion: This review presents evidence that running-induced acute fatigue influences almost all the included biomechanical parameters, with crucial influence from the exercise intensity and the testing environment. Results indicate an important gap in literature caused by the lack of field studies with continuous measurement during outdoor running activities. To address this gap, we propose recommendations for the use of wearable inertial sensors.
Cardiovascular Effects of Epinephrine During Experimental Hypothermia (32°C) With Spontaneous Circulation in an Intact Porcine Model
Authors: Mohyuddin Rizwan , Dietrichs Erik Sveberg , Sundaram Predip , Kondratiev Timofey , Figenschou Marie Fjellanger , Sieck Gary C. , Tveita Torkjel 
Published: September 2021

Aims: Rewarming from accidental hypothermia and therapeutic temperature management could be complicated by cardiac dysfunction. Although pharmacologic support is often applied when rewarming these patients, updated treatment recommendations are lacking. There is an underlying deficiency of clinical and experimental data to support such interventions and this prevents the development of clinical guidelines. Accordingly, we explored the clinical effects of epinephrine during hypothermic conditions.Materials and methods: Anesthetized pigs were immersion cooled to 32°C. Predetermined variables were compared at temperature/time-point baseline, after receiving 30 ng/kg/min and 90 ng/kg/min epinephrine infusions: (1) before and during hypothermia at 32°C, and after rewarming to 38°C (n = 7) and (2) a time-matched (5 h) normothermic control group (n = 5).Results: At 32°C, both stroke volume and cardiac output were elevated after 30 ng/kg/min administration, while systemic vascular resistance was reduced after 90 ng/kg/min. Epinephrine infusion did not alter blood flow in observed organs, except small intestine flow, and global O2 extraction rate was significantly reduced in response to 90 ng/kg/min infusion. Electrocardiographic measurements were unaffected by epinephrine infusion.Conclusion: Administration of both 30 ng/kg/min and 90 ng/kg/min at 32°C had a positive inotropic effect and reduced afterload. We found no evidence of increased pro-arrhythmic activity after epinephrine infusion in hypothermic pigs. Our experiment therefore suggests that β₁-receptor stimulation with epinephrine could be a favorable strategy for providing cardiovascular support in hypothermic patients, at core temperatures &gt;32°C.
Effect of Functional Training on Physical Fitness Among Athletes: A Systematic Review
Authors: Xiao Wensheng , Soh Kim Geok , Wazir Mohd Rozilee Wazir Norjali , Talib Othman , Bai Xiaorong , Bu Te , Sun He , Popovic Stevo , Masanovic Bojan , Gardasevic Jovan 
Published: September 2021

There is evidence that functional training is beneficial for the overall physical fitness of athletes. However, there is a lack of a systematic review focused on the effects of functional training on athletes' physical fitness. Thus, the aimed of the present review is to clarify the effects of functional training on physical fitness among athletes. In accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyzes (PRISMA)Statementguidelines, the systematic search of PubMed, SCOPUS, EBSCOhost (SPORTDiscus), and CINAHL Plus databases was undertaken onthe 2nd November2020 to identify the reported studies, using a combination of keywords related to functional training, physical fitness,andathletes.From the 145 studies, only nine articles met all eligibility criteria and were included in the systematic review. The assessment was performed on the Pedro scale, and the quality of the study included in the nine studies was fair (ranging from 3 to 4). The results showed that speed (n= 6) was theaspect of physical fitnessstudied in functional training interventions, followed by muscular strength (n= 5), power (n= 4), balance (n= 3), body composition (n= 3), agility (n= 3), flexibility (n = 1) and muscular endurance (n= 1). Existing evidence concludes that functional training significantly impacts speed, muscular strength, power, balance, and agility.Furthermore, there are still limit numbers of evidence showing effect offunctional training on flexibility and muscular endurance. In contrast, no significant improvement was found in body composition where functional training was conducted.Systematic Review Registration:https://www.crd.york.ac.uk/prospero, identifier: CRD4202123092.
Repeated Sessions of Transcranial Direct Current Stimulation on Adolescents With Autism Spectrum Disorder: Study Protocol for a Randomized, Double-Blind, and Sham-Controlled Clinical Trial
Authors: Prillinger Karin , Radev Stefan T. , Amador de Lara Gabriel , Klöbl Manfred , Lanzenberger Rupert , Plener Paul L. , Poustka Luise , Konicar Lilian 
Published: September 2021

Background: Social–emotional difficulties are a core symptom of autism spectrum disorder (ASD). Accordingly, individuals with ASD have problems with social cognition such as recognizing emotions from other peoples' faces. Various results from functional magnetic resonance imaging and electroencephalography studies as well as eye-tracking data reveal a neurophysiological basis of these deficits by linking them to abnormal brain activity. Thus, an intervention targeting the neural origin of ASD impairments seems warranted. A safe method able to influence neural activity is transcranial direct current stimulation (tDCS). This non-invasive brain stimulation method has already demonstrated promising results in several neuropsychiatric disorders in adults and children. The aim of this project is to investigate the effects of tDCS on ASD symptoms and their neural correlates in children and adolescents with ASD.Method: This study is designed as a double-blind, randomized, and sham-controlled trial with a target sample size of 20 male participants (aged 12–17 years) diagnosed with ASD. Before randomization, the participants will be stratified into comorbid depression, comorbid ADHS/conduct disorder, or no-comorbidity groups. The intervention phase comprises 10 sessions of anodal or sham tDCS applied over the left prefrontal cortex within 2 consecutive weeks. To engage the targeted brain regions, participants will perform a social cognition training during the stimulation. TDCS-induced effects on ASD symptoms and involved neural circuits will be investigated through psychological, neurophysiological, imaging, and behavioral data at pre- and post-measurements. Tolerability will be evaluated using a standardized questionnaire. Follow-up assessments 1 and 6 months after the intervention will examine long-lasting effects.Discussion: The results of this study will provide insights into the changeability of social impairments in ASD by investigating social and emotional abilities on different modalities following repeated sessions of anodal tDCS with an intra-simulation training. Furthermore, this trial will elucidate the tolerability and the potential of tDCS as a new treatment approach for ASD in adolescents.Clinical Trial Registration: The study is ongoing and has been registered in the German Registry of Clinical Trials (DRKS00017505) on 02/07/2019.
Digital Shared Decision-Making Interventions in Mental Healthcare: A Systematic Review and Meta-Analysis
Authors: Vitger Tobias , Korsbek Lisa , Austin Stephen F. , Petersen Lone , Nordentoft Merete , Hjorthøj Carsten 
Published: September 2021

Background:Shared decision-making (SDM) in mental healthcare has received increased attention as a process to reinforce person-centered care. With the rapid development of digital health technology, researchers investigate how digital interventions may be utilized to support SDM. Despite the promise of digital interventions to support SDM, the effect of these in mental healthcare has not been evaluated before. Thus, this paper aims to assess the effect of SDM interventions complimented by digital technology in mental healthcare.Objective:The objective of this review was to systematically examine the effectiveness of digital SDM interventions on patient outcomes as investigated in randomized trials.Methods:We performed a systematic review and meta-analysis of randomized controlled trials on digital SDM interventions for people with a mental health condition. We searched for relevant studies in MEDLINE, PsycINFO, EMBASE, CINAHL, and the Cochrane Central Register of Controlled Trials. The search strategy included terms relating to SDM, digital systems, mental health conditions, and study type. The primary outcome was patient activation or indices of the same (e.g., empowerment and self-efficacy), adherence to treatment, hospital admissions, severity of symptoms, and level of functioning. Secondary outcomes were satisfaction, decisional conflict, working alliance, usage, and adherence of medicine; and adverse events were defined as harms or side effects.Results:Sixteen studies met the inclusion criteria with outcome data from 2,400 participants. Digital SDM interventions had a moderate positive effect as compared with a control condition on patient activation [standardized mean difference (SMD) = 0.56, CI: 0.10, 1.01,p= 0.02], a small effect on general symptoms (SMD = −0.17, CI: −0.31, −0.03,p= 0.02), and working alliance (SMD = 0.21, CI: 0.02, 0.41,p= 0.03) and for improving decisional conflict (SMD = −0.37, CI: −0.70, −0.05,p= 0.02). No effect was found on self-efficacy, other types of mental health symptoms, adverse events, or patient satisfaction. A total of 39 outcomes were narratively synthesized with results either favoring the intervention group or showing no significant differences between groups. Studies were generally assessed to have unclear or high risk of bias, and outcomes had a Grading of Recommendations Assessment, Development and Evaluation (GRADE) rating of low- or very low-quality evidence.Conclusions:Digital interventions to support SDM may be a promising tool in mental healthcare; but with the limited quality of research, we have little confidence in the estimates of effect. More quality research is needed to further assess the effectiveness of digital means to support SDM but also to determine which digital intervention features are most effective to support SDM.Systematic Review Registration:PROSPERO, identifier CRD42020148132.
Descriptive Epidemiology of the Tuberculosis Service Delivery Project Beneficiaries in Northwest Syria: 2019-2020
Authors: Alashavi Hani , Daher Mahmoud , Chorgoliani Dato , Saflo Molham , Zeidan Mohammed , Huseyinibrahim Fedi , Ismail Eyup , Yousef Abdul Raouf Haj , Ayat Khalil , Elobayd Ekrem , Dadu Andre , Shaikh Masood Ali 
Published: September 2021

Background: Tuberculosis (TB) is a chronic communicable disease caused by the Mycobacterium tuberculosis that thrives in protracted humanitarian crises. It is an important cause of morbidity and mortality burden in the developing world. Globally, TB is the number one cause of death from any single infectious disease agent that plagued an estimated 10 million (range, 8.9–11.0 million) people in 2019 alone. The Eastern Mediterranean region comprised 8.2% of the worldwide share of TB cases in 2019.Methods: in April 2019, the World Health Organization's (WHO) country office of Turkey started three TB centers in the cities of A'zaz, Idleb, and Afrin in northwest Syria, to provide the population with quality TB treatment curative services. The objectives of the project involved provision of full package of TB services in alignment with WHO TB standards and protocols. Three contractors i.e., national NGOs, were selected after a rigorous process in accordance with WHO policies. These newly established centers were equipped with the essential medical supplies, including well-functioning X-ray and microscopy laboratories run by WHO-trained medical doctors and lab technicians.Results: Based on the quarterly reports submitted by the WHO partners, from the last two quarters of the year 2019, and the four quarters for the year 2020, out of 785 cases diagnosed either by clinical, laboratory, or radiological assessment, 251 cases were bacteriologically confirmed as TB cases against the backdrop of 2236 bacteriological investigations done and a weekly average of 31 sputum specimens processed. A total of 316 smear positive slides were identified during the study period, with the proportion of smear positive slides to be 14.13%. Clinical status determined after 6 months of treatment revealed that out of the 181 patients enrolled in the third quarter of 2019, 128 patients were either cured or successfully completed their TB treatment; with a treatment success rate of 70.7% and in quarter 4, 2019 those figures were respectively: 133, 82 and 61.7%.Conclusion: Despite the challenging and protracted complex humanitarian situation in northwest Syria, the number of patients enrolled and the proportion who successfully completed the TB treatment is acceptable. However, these results are preliminary, as clinical outcomes were available only for the first and second cohorts of patients enrolled. Innovative solutions and flexibility in the execution and continued expansion of this promising project are imperative.
Measuring the Value of a Practical Text Mining Approach to Identify Patients With Housing Issues in the Free-Text Notes in Electronic Health Record: Findings of a Retrospective Cohort Study
Authors: Hatef Elham , Singh Deol Gurmehar , Rouhizadeh Masoud , Li Ashley , Eibensteiner Katyusha , Monsen Craig B. , Bratslaver Roman , Senese Margaret , Kharrazi Hadi 
Published: September 2021

Introduction: Despite the growing efforts to standardize coding for social determinants of health (SDOH), they are infrequently captured in electronic health records (EHRs). Most SDOH variables are still captured in the unstructured fields (i.e., free-text) of EHRs. In this study we attempt to evaluate a practical text mining approach (i.e., advanced pattern matching techniques) in identifying phrases referring to housing issues, an important SDOH domain affecting value-based healthcare providers, using EHR of a large multispecialty medical group in the New England region, United States. To present how this approach would help the health systems to address the SDOH challenges of their patients we assess the demographic and clinical characteristics of patients with and without housing issues and briefly look into the patterns of healthcare utilization among the study population and for those with and without housing challenges.Methods: We identified five categories of housing issues [i.e., homelessness current (HC), homelessness history (HH), homelessness addressed (HA), housing instability (HI), and building quality (BQ)] and developed several phrases addressing each one through collaboration with SDOH experts, consulting the literature, and reviewing existing coding standards. We developed pattern-matching algorithms (i.e., advanced regular expressions), and then applied them in the selected EHR. We assessed the text mining approach for recall (sensitivity) and precision (positive predictive value) after comparing the identified phrases with manually annotated free-text for different housing issues.Results: The study dataset included EHR structured data for a total of 20,342 patients and 2,564,344 free-text clinical notes. The mean (SD) age in the study population was 75.96 (7.51). Additionally, 58.78% of the cohort were female. BQ and HI were the most frequent housing issues documented in EHR free-text notes and HH was the least frequent one. The regular expression methodology, when compared to manual annotation, had a high level of precision (positive predictive value) at phrase, note, and patient levels (96.36, 95.00, and 94.44%, respectively) across different categories of housing issues, but the recall (sensitivity) rate was relatively low (30.11, 32.20, and 41.46%, respectively).Conclusion: Results of this study can be used to advance the research in this domain, to assess the potential value of EHR's free-text in identifying patients with a high risk of housing issues, to improve patient care and outcomes, and to eventually mitigate socioeconomic disparities across individuals and communities.
Deep-Learning-Based Automatic Segmentation of Head and Neck Organs for Radiation Therapy in Dogs
Authors: Park Jeongsu , Choi Byoungsu , Ko Jaeeun , Chun Jaehee , Park Inkyung , Lee Juyoung , Kim Jayon , Kim Jaehwan , Eom Kidong , Kim Jin Sung 
Published: September 2021

Purpose: This study was conducted to develop a deep learning-based automatic segmentation (DLBAS) model of head and neck organs for radiotherapy (RT) in dogs, and to evaluate the feasibility for delineating the RT planning.Materials and Methods: The segmentation indicated that there were potentially 15 organs at risk (OARs) in the head and neck of dogs. Post-contrast computed tomography (CT) was performed in 90 dogs. The training and validation sets comprised 80 CT data sets, including 20 test sets. The accuracy of the segmentation was assessed using both the Dice similarity coefficient (DSC) and the Hausdorff distance (HD), and by referencing the expert contours as the ground truth. An additional 10 clinical test sets with relatively large displacement or deformation of organs were selected for verification in cancer patients. To evaluate the applicability in cancer patients, and the impact of expert intervention, three methods–HA, DLBAS, and the readjustment of the predicted data obtained via the DLBAS of the clinical test sets (HA_DLBAS)–were compared.Results: The DLBAS model (in the 20 test sets) showed reliable DSC and HD values; it also had a short contouring time of ~3 s. The average (mean ± standard deviation) DSC (0.83 ± 0.04) and HD (2.71 ± 1.01 mm) values were similar to those of previous human studies. The DLBAS was highly accurate and had no large displacement of head and neck organs. However, the DLBAS in the 10 clinical test sets showed lower DSC (0.78 ± 0.11) and higher HD (4.30 ± 3.69 mm) values than those of the test sets. The HA_DLBAS was comparable to both the HA (DSC: 0.85 ± 0.06 and HD: 2.74 ± 1.18 mm) and DLBAS presented better comparison metrics and decreased statistical deviations (DSC: 0.94 ± 0.03 and HD: 2.30 ± 0.41 mm). In addition, the contouring time of HA_DLBAS (30 min) was less than that of HA (80 min).Conclusion: In conclusion, HA_DLBAS method and the proposed DLBAS was highly consistent and robust in its performance. Thus, DLBAS has great potential as a single or supportive tool to the key process in RT planning.