bluuebunny/crossref_metadata_2025_split huggingface dataset:
Induction of cluster headache after opening of adenosine triphosphate-sensitive potassium channels: a randomized clinical trial
Authors: Al-Khazali Haidar M. , Deligianni Christina I. , Pellesi Lanfranco , Al-Karagholi Mohammad Al-Mahdi , Ashina Håkan , Chaudhry Basit Ali , Petersen Anja Sofie , Jensen Rigmor H. , Amin Faisal Mohammad , Ashina Messoud 
Published: December 2023

Abstract
Activation of adenosine triphosphate-sensitive potassium (KATP) channels has been implicated in triggering migraine attacks. However, whether the opening of these channels provoke cluster headache attacks remains undetermined. The hallmark of cluster headache is a distinct cyclical pattern of recurrent, severe headache episodes, succeeded by intervals of remission where no symptoms are present. In our study, we enrolled 41 participants: 10 with episodic cluster headaches during a bout, 15 in the attack-free remission period, and 17 diagnosed with chronic cluster headaches. Over 2 distinct experimental days, participants underwent a continuous 20-minute infusion of levcromakalim, a KATP channel opener, or a placebo (isotonic saline), followed by a 90-minute observational period. The primary outcome was comparing the incidence of cluster headache attacks within the postinfusion observation period between the levcromakalim and placebo groups. Six of 10 participants (60%) with episodic cluster headaches in bout experienced attacks after levcromakalim infusion, vs just 1 of 10 (10%) with placebo (P = 0.037). Among those in the remission phase, 1 of 15 participants (7%) reported attacks after levcromakalim, whereas none did postplacebo (P = 0.50). In addition, 5 of 17 participants (29%) with chronic cluster headache had attacks after levcromakalim, in contrast to none after placebo (P = 0.037). These findings demonstrate that KATP channel activation can induce cluster headache attacks in participants with episodic cluster headaches in bout and chronic cluster headache, but not in those in the remission period. Our results underscore the potential utility of KATP channel inhibitors as therapeutic agents for cluster headaches.
Mapping global new-onset, worsening, and resolution of diabetes following partial pancreatectomy: a systematic review and meta-analysis
Authors: Wei Junlun , Ou Yiran , Chen Jiaoting , Yu Zhicheng , Wang Zhenghao , Wang Ke , Yang Dujiang , Gao Yun , Liu Yong , Liu Jiaye , Zheng Xiaofeng 
Published: December 2023

Background and aims:
Partial pancreatectomy, commonly used for chronic pancreatitis, or pancreatic lesions, has diverse impacts on endocrine and metabolism system. The study aims to determine the global prevalence of new-onset, worsening, and resolution of diabetes following partial pancreatectomy.

Methods:
The authors searched PubMed, Embase, Web of Science, and Cochrane Library from inception to October, 2023. DerSimonian-Laird random-effects model with Logit transformation was used. Sensitivity analysis, meta-regression, and subgroup analysis were employed to investigate determinants of the prevalence of new-onset diabetes.

Results:
A total of 82 studies involving 13 257 patients were included. The overall prevalence of new-onset diabetes after partial pancreatectomy was 17.1%. Univariate meta-regression indicated that study size was the cause of heterogeneity. Multivariable analysis suggested that income of country or area had the highest predictor importance (49.7%). For subgroup analysis, the prevalence of new-onset diabetes varied from 7.6% (France, 95% CI: 4.3–13.0) to 38.0% (UK, 95% CI: 28.2–48.8, P<0.01) across different countries. Patients with surgical indications for chronic pancreatitis exhibited a higher prevalence (30.7%, 95% CI: 21.8–41.3) than those with pancreatic lesions (16.4%, 95% CI: 14.3–18.7, P<0.01). The type of surgical procedure also influenced the prevalence, with distal pancreatectomy having the highest prevalence (23.7%, 95% CI: 22.2–25.3, P<0.01). Moreover, the prevalence of worsening and resolution of preoperative diabetes was 41.1 and 25.8%, respectively.

Conclusions:
Postoperative diabetes has a relatively high prevalence in patients undergoing partial pancreatectomy, which calls for attention and dedicated action from primary care physicians, specialists, and health policy makers alike.
Definition, diagnosis, and treatment of respiratory sarcopenia
Authors: Miyazaki Shinjiro , Tamaki Akira , Wakabayashi Hidetaka , Arai Hidenori 
Published: December 2023

Purpose of review
Skeletal muscle weakness and wasting also occurs in the respiratory muscles, called respiratory sarcopenia. Respiratory sarcopenia may lead to worse clinical indicators and outcomes. We present a novel definition and diagnostic criteria for respiratory sarcopenia, summarize recent reports on the association between respiratory sarcopenia, physical and nutritional status, and clinical outcomes, and provide suggestions for the prevention and treatment of respiratory sarcopenia.

Recent findings
Recently, a novel definition and diagnostic criteria for respiratory sarcopenia have been prepared. Respiratory sarcopenia is defined as a condition in which there is both low respiratory muscle strength and low respiratory muscle mass. Respiratory muscle strength, respiratory muscle mass, and appendicular skeletal muscle mass are used to diagnose respiratory sarcopenia. Currently, it is challenging to definitively diagnose respiratory sarcopenia due to the difficulty in accurately determining low respiratory muscle mass. Decreased respiratory muscle strength and respiratory muscle mass are associated with lower physical and nutritional status and poorer clinical outcomes. Exercise interventions, especially respiratory muscle training, nutritional interventions, and their combinations may effectively treat respiratory sarcopenia. Preventive interventions for respiratory sarcopenia are unclear.

Summary
The novel definition and diagnostic criteria will contribute to promoting the assessment and intervention of respiratory sarcopenia.
Acute Pancreatitis
Authors: Wiley Mark B. , Mehrotra Kunaal , Bauer Jessica , Yazici Cemal , Bialkowska Agnieszka B. , Jung Barbara 
Published: December 2023

Objective
Severe acute pancreatitis (SAP), pancreatic inflammation leading to multiorgan failure, is associated with high morbidity and mortality. There is a critical need to identify novel therapeutic strategies to improve clinical outcomes for SAP patients.

Materials and Methods
A comprehensive literature review was performed to identify current clinical strategies, known molecular pathophysiology, and potential therapeutic targets for SAP.

Results
Current clinical approaches focus on determining which patients will likely develop SAP. However, therapeutic options are limited to supportive care and fluid resuscitation. The application of a novel 5-cytokine panel accurately predicting disease outcomes in SAP suggests that molecular approaches will improve impact of future clinical trials in AP.

Conclusions
Inflammatory outcomes in acute pancreatitis are driven by several unique molecular signals, which compound to promote both local and systemic inflammation. The identification of master cytokine regulators is critical to developing therapeutics, which reduce inflammation through several mechanisms.
Machine Learning of Histopathological Images Predicts Recurrences of Resected Pancreatic Ductal Adenocarcinoma With Adjuvant Treatment
Authors: Yamaguchi Ruri , Morikawa Hiromu , Akatsuka Jun , Numata Yasushi , Noguchi Aya , Kokumai Takashi , Ishida Masaharu , Mizuma Masamichi , Nakagawa Kei , Unno Michiaki , Miyake Akimitsu , Tamiya Gen , Yamamoto Yoichiro , Furukawa Toru 
Published: December 2023

Objectives
Pancreatic ductal adenocarcinoma is an intractable disease with frequent recurrence after resection and adjuvant therapy. The present study aimed to clarify whether artificial intelligence–assisted analysis of histopathological images can predict recurrence in patients with pancreatic ductal adenocarcinoma who underwent resection and adjuvant chemotherapy with tegafur/5-chloro-2,4-dihydroxypyridine/potassium oxonate.

Materials and Methods
Eighty-nine patients were enrolled in the study. Machine-learning algorithms were applied to 10-billion-scale pixel data of whole-slide histopathological images to generate key features using multiple deep autoencoders. Areas under the curve were calculated from receiver operating characteristic curves using a support vector machine with key features alone and by combining with clinical data (age and carbohydrate antigen 19-9 and carcinoembryonic antigen levels) for predicting recurrence. Supervised learning with pathological annotations was conducted to determine the significant features for predicting recurrence.

Results
Areas under the curves obtained were 0.73 (95% confidence interval, 0.59–0.87) by the histopathological data analysis and 0.84 (95% confidence interval, 0.73–0.94) by the combinatorial analysis of histopathological data and clinical data. Supervised learning model demonstrated that poor tumor differentiation was significantly associated with recurrence.

Conclusions
Results indicate that machine learning with the integration of artificial intelligence–driven evaluation of histopathological images and conventional clinical data provides relevant prognostic information for patients with pancreatic ductal adenocarcinoma.
Examining the Relationship Between Nurses’ Fear of COVID-19 and Nursing Care Behavior
Authors: Ceylan Burcu , Aktan Gul Gunes , Coskun Palaz Simge 
Published: December 2023

ObjectivesIt is clear that COVID-19, and especially its highly infectious nature, has caused fear, anxiety, and worry for nurses performing active duty during the pandemic. It has thus been a matter of interest to investigate into how care behaviors have been affected by the various emotions that continue to be felt in this period. This study aimed to examine the impact of nurses’ fear of COVID-19 on their nursing care behavior during the pandemic.MethodsThe data of this descriptive and cross-sectional designed study were collected from 450 nurses providing one-on-one care (at university, public, or private hospital) to COVID-19 patients from January to March 2021 and who had consented to participate in the study. A Personal Data Form, the “Caring Behaviors Inventory-24 (CBI-24),” and the “Fear of COVID-19 Scale” were used in the data collection.ResultsThe overall mean score of the nurses on the Caring Behaviors Inventory was 5.08 ± 0.59. An examination of the subscales showed that the nurses’ highest scores were in the knowledge and skills subscale, whereas they scored the lowest in the loyalty subscale. The overall mean score of the nurses on the Fear of COVID-19 Scale was 18.52 ± 5.43. A negative, significant, and very weak relationship was found between the nurses’ levels of fear of coronavirus and their care behaviors (r= −0.107,P< 0.05).ConclusionsData show that nurses providing care to patients during the COVID-19 pandemic feared COVID-19, that their care behaviors were generally at a good level, and that the care behaviors of nurses with a high degree of fear of COVID-19 were negatively and significantly impacted.
Why Simulation Matters: A Systematic Review on Medical Errors Occurring During Simulated Health Care
Authors: Bokka Leshya , Ciuffo Francesco , Clapper Timothy C. 
Published: December 2023

Background
Over the past decade, the implementation of simulation education in health care has increased exponentially. Simulation-based education allows learners to practice patient care in a controlled, psychologically safe environment without the risk of harming a patient. Facilitators may identify medical errors during instruction, aiding in developing targeted education programs leading to improved patient safety. However, medical errors that occur during simulated health care may not be reported broadly in the simulation literature.

Objective
The aim of the study is to identify and categorize the type and frequency of reported medical errors in healthcare simulation.

Methods
Systematic review using search engines, PubMed/MEDLINE, CINAHL, and SCOPUS from 2000 to 2020, using the terms “healthcare simulation” AND “medical error.” Inclusion was based on reported primary research of medical errors occurring during simulated health care. Reported errors were classified as errors of commission, omission, systems related, or communication related.

Results
Of the 1105 articles screened, only 20 articles met inclusion criteria. Errors of commission were the most reported (17/20), followed by systems-related errors (13/20), and errors of omission (12/20). Only 7 articles reported errors attributed to communication. Authors in 16 articles reported more than one type of error.

Conclusions
Simulationists and patient safety advocates must continually identify systems-related errors and training deficits that can lead to inaction, improper action, and poor communication. Recent dialogs in the simulation community have also underscored the potential benefits of developing a registry of errors across simulation centers, with a goal of aggregating, analyzing, and disseminating insights from various simulation exercises.
A NURSING PHILOSOPHY OF MOTIVATIONAL INTERVIEWING ON TYPE 2 DIABETES MELLITUS: SYSTEMATIC REVIEW
Authors: Mumpuningtias Elyk Dwi , Pandin Moses Glorino Rumambo , Nursalam Nursalam 
Published: December 2023

ABSTRACTBackgroundThe management of Type 2 Diabetes Mellitus (T2DM) heavily relies on lifestyle choices and adherence. Opting for a high-risk lifestyle can exacerbate the impact on individuals with T2DM, worsening their condition. These approaches encompass self-care practices, cognitive behavioral strategies, training for family support, and educational initiatives focusing on lifestyle changes. Motivational interviewing is one strategy to changes behavior of T2DM patients.MethodThis study reviewed the literature following the PRISMA guidelines (2019– 2023). The exploration involved keyword searches for “motivational interviewing,” “T2DM,” “lifestyle,” and “glycemic index” across databases such as Scopus, Science Direct, and ProQuest. Inclusion criteria encompassed quantitative research design, English language publications, research involving patients with T2DM, motivational interviewing, lifestyle modifications, and glycemic index. This resulted in the identification of 286 papers. A PICO synthesis and grouping method was used to analyze the data, aligned with the Cochrane Handbook for Systematic Reviews. The methodological quality assessment, carried out using the Joanna Briggs Institute Critical Appraisal methodology, indicated that adopting a multidisciplinary approach involving ontological, epistemological, and axiological inquiry is a robust foundation for enhancing health information systems and clinical practice.ResultsThis study reviewed ten articles focusing on using motivational interviewing techniques to improve T2DM patients so that they can change their lifestyle and manage their glycemic index in the long term. Motivational interviewing can be conducted face to face for an average of 10-12 sessions, approximately3-6 months, both online and through intensive intervention.ConclusionThis study can demonstrate how motivational interviews can improve the behavior of T2DM patients by changing lifestyle and reducing the glycemic index in T2DM patients.
Dengue virus transmission in Italy: surveillance and epidemiological trends up to 2023
Authors: Branda Francesco , Nakase Taishi , Maruotti Antonello , Scarpa Fabio , Ciccozzi Alessandra , Romano Chiara , Peletto Simone , Bispo de Filippis Ana Maria , Alcantara Luiz Carlos Junior , Marcello Alessandro , Ciccozzi Massimo , Lourenço José , Giovanetti Marta 
Published: December 2023

AbstractDengue virus circulation is on the rise globally with increased epidemic activity in previously unaffected countries, including within the European region. In 2023, global dengue activity peaked, and Italy reported the highest number of dengue cases and local chains of transmission to date. By curating several sources of information, we introduce a novel data repository focused on dengue reporting in Italy. We integrate geographic, epidemiological, genomic and climatic spatio-temporal data to present an overview of transmission patterns of the past eight years related to circulating viral lineages, geographic distribution, hotspots of reporting, and the theoretical contribution of local climate. This study contributes to a better understanding of the evolving scenario in Italy, with the potential to inform reassessment and planning of adequate national and European public health strategies to manage the emergence of dengue.
Fractal correlation properties of heart rate variability as a marker of exercise intensity during incremental and constant-speed treadmill running
Authors: van Rassel C. R. , Ajayi O. O. , Sales K. M. , Clermont A. C. , Rummel M. , MacInnis M.J. 
Published: December 2023

AbstractThe short-term scaling exponent of detrended fluctuation analysis (DFAα1) applied to interbeat intervals may provide a method to identify ventilatory thresholds and indicate systemic perturbation during prolonged exercise. The purposes of this study were to i) confirm whether DFAα1 values of 0.75 and 0.5 coincide with the gas exchange threshold (GET) and respiratory compensation point (RCP), ii) quantify DFAα1 during constant-speed running near the maximal lactate steady state (MLSS), and iii) assess the repeatability of DFAα1 between MLSS trials. Seventeen runners performed an incremental running test, and eleven and ten runners also performed constant-speed running 5% below, at, and 5% above the MLSS, and a repeat trial at MLSS, respectively. GET (bias [LOA]: –3.6 [–9.1 to 1.9] mL·kg−1·min−1) and RCP (–3.5 [–14.1 to 7.2] mL·kg−1·min−1) were overestimated using DFAα1. DFAα1 responses during 30-min running trials near MLSS were variable (i.e., 0.27 to 1.24), and affected by intensity (p=0.019) and duration (p=0.001). No difference in DFAα1 was detected between MLSS trials (p=0.926). These results question whether DFAα1 values can accurately delineate exercise thresholds, but the dependency of DFAα1 on intensity and duration support its potential use to quantify systemic perturbations imposed by continuous exercise.
Implementation of Evidence-Based Medicine in Primary Care Through the Use of Encounter Shared Decision Making Tools: The ShareEBM Pragmatic Trial
Authors: LeBlanc Annie , Branda Megan E , Egginton Jason , Inselman Jonathan W , Dick Sara , Schuerman Janet , Kemper Jill , Shah Nilay D , Montori Victor M 
Published: December 2023

ABSTRACTBACKGROUNDWhile decision aids have been proven effective to facilitate patient-centered discussion about evidence-based health information in practice and enable shared decision making (SDM), a chasm remains between the promise and the use of these SDM tools in practice.AIMSTo promote evidence-based patient-centered care in primary care by using encounter SDM tools for medication management of chronic conditions.METHODSWe conducted a mixed methods study centered around a practice-based, multi-centered pragmatic randomized trial comparing active implementation (active) to passive dissemination (passive) of a web-based toolkit, ShareEBM, to facilitate the uptake in primary care of four SDM tools designed for use during clinical encounters. These tools supported collaborative decisions about medications for chronic conditions. ShareEBM included activities and tactics to increase the likelihood that encounter SDM tools will be routinized in practice. Study team members worked closely with practices in the active arm to actively integrate and promote the use of SDM tools; passive arm practices received no support from the study team. The embedded qualitative evaluation included clinician phone interviews (n=10) and site observations (n=5) for active practices, and exit focus groups for all practices (n=11).RESULTSEleven practices and 62 clinicians participated in the study. Clinicians in the active arm used SDM tools in 621 encounters (Mean [SD]: 21 [25] encounters per clinician, range: 0-93) compared to 680 in the passive arm (Mean [SD]: 20 [40] encounters per clinician, range: 0-156, p=0.4). Six of 29 (21%) clinicians in the active arm and 14 of 33 (42%) in the passive arm did not use any tools (p=0.1). Clinicians’ views covered four major themes: general views of using encounter SDM tools, perceived impact on patients, strategies used, and how encounter SDM tools are incorporated into practice flow.CONCLUSIONNeither active nor passive implementation of a toolkit improved the uptake and use of encounter SDM tools in primary care. Overcoming clinician reluctance to consider using encounter SDM tools, their seamless integration into the electronic and practice workflows, and ongoing feedback about the quality of their use during encounters appear necessary to implement their use in primary care practices.
RAPID RESISTANCE TO BET INHIBITORS IS MEDIATED BY FGFR1 IN GLIOBLASTOMA
Authors: Jermakowicz Anna M. , Kurimchak Alison M. , Johnson Katherine J. , Bourgain-Guglielmetti Florence , Kaeppeli Simon , Affer Maurizio , Pradhyumnan Hari , Suter Robert , Walters Winston , Cepero Maria , Duncan James , Ayad Nagi G. 
Published: December 2023

ABSTRACTBromodomain and extra-terminal domain (BET) proteins are therapeutic targets in several cancers including the most common malignant adult brain tumor glioblastoma (GBM). Multiple small molecule inhibitors of BET proteins have been utilized in preclinical and clinical studies. Unfortunately, BET inhibitors have not shown efficacy in clinical trials enrolling GBM patients. One possible reason for this may stem from resistance mechanisms that arise after prolonged treatment within a clinical setting. However, the mechanisms and timeframe of resistance to BET inhibitors in GBM is not known. To identify the temporal order of resistance mechanisms in GBM we performed quantitative proteomics using multiplex-inhibitor bead mass spectrometry and demonstrated that intrinsic resistance to BET inhibitors in GBM treatment occurs rapidly within hours and involves the fibroblast growth factor receptor 1 (FGFR1) protein. Additionally, small molecule inhibition of BET proteins and FGFR1 simultaneously induces synergy in reducing GBM tumor growthin vitroandin vivo. Further, FGFR1 knockdown synergizes with BET inhibitor mediated reduction of GBM cell proliferation. Collectively, our studies suggest that co-targeting BET and FGFR1 may dampen resistance mechanisms to yield a clinical response in GBM.
Gut microbiota influences foraging onset without affecting division of labor and associated physiological hallmarks in honeybees
Authors: Liberti Joanito , Frank Erik T. , Kay Tomas , Kesner Lucie , Monié--Ibanes Maverick , Quinn Andrew , Schmitt Thomas , Keller Laurent , Engel Philipp 
Published: December 2023

AbstractGut microbes can impact cognition and behavior, but whether they regulate division of labor in animal societies is unknown. We addressed this question using honeybees since they exhibit division of labor between nurses and foragers and because their gut microbiota can be manipulated. Using automated behavioral tracking and controlling for co-housing effects, we show that gut microbes influence the age at which bees start foraging but have no effects on the time spent in a foraging area and number of foraging trips. Moreover, the gut microbiota did not influence hallmarks of behavioral maturation such as body weight, cuticular hydrocarbon (CHC) profile, hypopharyngeal gland size, and the proportion of bees maturing into foragers. Overall, this study shows that the honeybee gut microbiota does not affect division of labor but rather plays an important function in controlling the onset of bee foraging.