bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development stage of novel digital health interventions for postoperative monitoring: protocol of a systematic review
Authors: McLean Kenneth A , Knight Stephen R , Diehl Thomas M , Zafar Syed Nabeel , Bouamrane Matt , Harrison Ewen M 
Published: March 2022

IntroductionThe postoperative period represents a time where patients are at a high-risk of morbidity, which warrants effective surveillance. While digital health interventions (DHIs) for postoperative monitoring are promising, a coordinated, standardized and evidence-based approach regarding their implementation and evaluation is currently lacking. This study aimed to identify DHIs implemented and evaluated in postoperative care to highlight research gaps and assess the readiness for routine implementation.MethodsA systematic review will be conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to identify studies describing the implementation and evaluation of DHIs for postoperative monitoring published since 2000 (PROSPERO ID: CRD42021264289). This will encompass the Embase, Cumulative Index to Nursing and Allied Health Literature, Cochrane Library, Web of Science and ClinicalTrials.gov databases, and manual search of bibliographies for relevant studies and gray literature. Methodological reporting quality will be evaluated using the Idea, Development, Exploration, Assessment and Long-term Follow-up (IDEAL) reporting guideline relevant to the IDEAL stage of the study, and risk of bias will be assessed using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework. Data will be extracted according to the WHO framework for monitoring and evaluating DHIs, and a narrative synthesis will be performed.DiscussionThis review will assess the readiness for implementation of DHIs for routine postoperative monitoring and will include studies describing best practice from service changes already being piloted out of necessity during the COVID-19 pandemic. This will identify interventions with sufficient evidence to progress to the next IDEAL stage, and promote standardized and comprehensive evaluation of future implementational studies.
Educational and ecological assessment for unintentional injuries among children under 7 years: directed qualitative research based on PRECEDE–PROCEED model
Authors: Lael-Monfared Elaheh , Rakhshanderou Sakineh , Ramezankhani Ali , Ghaffari Mohtasham 
Published: March 2022

BackgroundChild injury is not seen as a new issue in medical science and public health; however, for years it has been either generally brushed aside or been conspicuously absent from the world health agenda. This study aims at investigating the factors leading to house injuries and attempts to highlight mothers’ pivotal role to provide a safe place for children at home.MethodsA qualitative research method was used. There were 29 interviews in total: 12 interviews with mothers, 9 with cure and prevention specialists and 8 with researchers. The data were gathered through semistructured interviews conducted in participants’ workplaces namely universities, research centres, health centres and in some cases through telephone in 3 months from February 2021 to May 2021 in Tehran, Iran. The participants were selected through non-probability and purposive sampling. All of the recorded interviews and notes were accurately evaluated and data analysis was performed based on the content analysis.ResultsIn this study, 29 participants’ views were examined: 12 mothers (41.37%), 8 researchers (27.5%) and 9 treatment and prevention experts (31%). After the analysis of the interviews, 96 codes, 14 subcategories and 3 main categories were extracted. The main categories included the predisposing factors, reinforcing factors and enabling factors. The subcategories included perceived sensitivity, perceived susceptibility, health control centre, perceived benefits, observational or peripheral learning, social support, family support, abstract norms, valuing children’s health, background factors, skills, rules and regulations, child’s character traits and self-efficacy to overcome barriers.ConclusionHouse injuries among children are a complicated and multifaceted issue that requires a comprehensive investigation to determine the contributing factors.
Natural killer T cell immunotherapy combined with IL-15-expressing oncolytic virotherapy and PD-1 blockade mediates pancreatic tumor regression
Authors: Nelson Adam , Gebremeskel Simon , Lichty Brian D , Johnston Brent 
Published: March 2022

BackgroundPancreatic cancer is one of the leading causes of cancer death, with a 5-year -year survival rate of less than 10%. This results from late detection, high rates of metastasis, and resistance to standard chemotherapies. Furthermore, chemotherapy and radiation are associated with significant morbidity, underscoring the need for novel therapies. Recent clinical studies have shown that immunotherapies can provide durable outcomes in cancer patients, but successes in pancreatic cancer have been limited. It is likely that novel and combined therapies will be needed to achieve clinical benefits.MethodsUsing experimental mouse models of pancreatic ductal adenocarcinoma, we examined natural killer T (NKT) cell activation therapy in combination with a recombinant oncolytic vesicular stomatitis virus (VSVΔM51) engineered to express the cytokine IL-15 (VSV-IL-15). Panc02 pancreatic ductal carcinoma cells were implanted subcutaneously or orthotopically into syngeneic C57BL/6 mice. Mice were then treated with VSV expressing green fluorescent protein (VSV-GFP) or VSV-IL-15 and/or NKT cell activation therapy via delivery of α-GalCer-loaded DCs. We further assessed whether the addition of PD-1 blockade could increase the therapeutic benefit of our combination treatment. Three days after NKT cell activation, some groups of mice were treated with anti-PD-1 antibodies weekly for 3 weeks.ResultsVSV-GFP and VSV-IL-15 mediated equal killing of human and mouse pancreatic cancer lines in vitro. In vivo, VSV-IL-15 combined with NKT cell activation therapy to enhance tumor regression and increase survival time over individual treatments, and was also superior to NKT cell therapy combined with VSV-GFP. Enhanced tumor control was associated with increased immune cell infiltration and anti-tumor effector functions (cytotoxicity and cytokine production). While ineffective as a monotherapy, the addition of blocking PD-1 antibodies to the combined protocol sustained immune cell activation and effector functions, resulting in prolonged tumor regression and complete tumor clearance in 20% of mice. Mice who cleared the initial tumor challenge exhibited reduced tumor growth uponon rechallenge, consistent with the formation of immune memory.ConclusionTThese results demonstrate that NKT cell immunotherapy combined with oncolytic VSV-IL-15 virotherapy and PD-1 blockade enhances tumor control and presents a promising treatment strategy for targeting pancreatic cancer.
In PD-1+ human colon cancer cells NIVOLUMAB promotes survival and could protect tumor cells from conventional therapies
Authors: Ieranò Caterina , Righelli Dario , D'Alterio Crescenzo , Napolitano Maria , Portella Luigi , Rea Giuseppina , Auletta Federica , Santagata Sara , Trotta Anna Maria , Guardascione Giuseppe , Liotti Federica , Prevete Nella , Maiolino Piera , Luciano Antonio , Barbieri Antonio , Di Mauro Annabella , Roma Cristin , Esposito Abate Riziero , Tatangelo Fabiana , Pacelli Roberto , Normanno Nicola , Melillo Rosa Marina , Scala Stefania 
Published: March 2022

BackgroundColorectal cancer (CRC) is one of the most prevalent and deadly tumors worldwide. The majority of CRC is resistant to anti-programmed cell death-1 (PD-1)-based cancer immunotherapy, with approximately 15% with high-microsatellite instability, high tumor mutation burden, and intratumoral lymphocytic infiltration. Programmed death-ligand 1 (PD-L1)/PD-1 signaling was described in solid tumor cells. In melanoma, liver, and thyroid cancer cells, intrinsic PD-1 signaling activates oncogenic functions, while in lung cancer cells, it has a tumor suppressor effect. Our work aimed to evaluate the effects of the anti-PD-1 nivolumab (NIVO) on CRC cells.MethodsIn vitro NIVO-treated human colon cancer cells (HT29, HCT116, and LoVo) were evaluated for cell growth, chemo/radiotherapeutic sensitivity, apoptosis, and spheroid growth. Total RNA-seq was assessed in 6–24 hours NIVO-treated human colon cancer cells HT29 and HCT116 as compared with NIVO-treated PES43 human melanoma cells. In vivo mice carrying HT29 xenograft were intraperitoneally treated with NIVO, OXA (oxaliplatin), and NIVO+OXA, and the tumors were characterized for growth, apoptosis, and pERK1/2/pP38. Forty-eight human primary colon cancers were evaluated for PD-1 expression through immunohistochemistry.ResultsIn PD-1+ human colon cancer cells, intrinsic PD-1 signaling significantly decreased proliferation and promoted apoptosis. On the contrary, NIVO promoted proliferation, reduced apoptosis, and protected PD-1+ cells from chemo/radiotherapy. Transcriptional profile of NIVO-treated HT29 and HCT116 human colon cancer cells revealed downregulation of BATF2, DRAM1, FXYD3, IFIT3, MT-TN, and TNFRSF11A, and upregulation of CLK1, DCAF13, DNAJC2, MTHFD1L, PRPF3, PSMD7, and SCFD1; the opposite regulation was described in NIVO-treated human melanoma PES43 cells. Differentially expressed genes (DEGs) were significantly enriched for interferon pathway, innate immune, cytokine-mediated signaling pathways. In vivo, NIVO promoted HT29 tumor growth, thus reducing OXA efficacy as revealed through significant Ki-67 increase, pERK1/2 and pP38 increase, and apoptotic cell reduction. Eleven out of 48 primary human colon cancer biopsies expressed PD-1 (22.9%). PD-1 expression is significantly associated with lower pT stage.ConclusionsIn PD-1+ human colon cancer cells, NIVO activates tumor survival pathways and could protect tumor cells from conventional therapies.
Eculizumab versus rituximab in generalised myasthenia gravis
Authors: Nelke Christopher , Schroeter Christina B , Stascheit Frauke , Pawlitzki Marc , Regner-Nelke Liesa , Huntemann Niklas , Arat Ercan , Öztürk Menekse , Melzer Nico , Mergenthaler Philipp , Gassa Asmae , Stetefeld Henning , Schroeter Michael , Berger Benjamin , Totzeck Andreas , Hagenacker Tim , Schreiber Stefanie , Vielhaber Stefan , Hartung Hans-Peter , Meisel Andreas , Wiendl Heinz , Meuth Sven G , Ruck Tobias 
Published: March 2022

ObjectiveMyasthenia gravis (MG) is the most common autoimmune disorder affecting the neuromuscular junction. However, evidence shaping treatment decisions, particularly for treatment-refractory cases, is sparse. Both rituximab and eculizumab may be considered as therapeutic options for refractory MG after insufficient symptom control by standard immunosuppressive therapies.MethodsIn this retrospective observational study, we included 57 rituximab-treated and 20 eculizumab-treated patients with MG to compare the efficacy of treatment agents in generalised, therapy-refractory anti-acetylcholine receptor antibody (anti-AChR-ab)-mediated MG with an observation period of 24 months. Change in the quantitative myasthenia gravis (QMG) score was defined as the primary outcome parameter. Differences between groups were determined in an optimal full propensity score matching model.ResultsBoth groups were comparable in terms of clinical and demographic characteristics. Eculizumab was associated with a better outcome compared with rituximab, as measured by the change of the QMG score at 12 and 24 months of treatment. Minimal manifestation of disease was more frequently achieved in eculizumab-treated patients than rituximab-treated patients at 12 and 24 months after baseline. However, the risk of myasthenic crisis (MC) was not ameliorated in either group.InterpretationThis retrospective, observational study provides the first real-world evidence supporting the use of eculizumab for the treatment of refractory, anti-AChR-ab positive MG. Nonetheless, the risk of MC remained high and prompts the need for intensified monitoring and further research effort aimed at this vulnerable patient cohort.
Inflammatory markers in saliva and urine reflect disease activity in patients with systemic lupus erythematosus
Authors: Ruacho Guillermo , Lira-Junior Ronaldo , Gunnarsson Iva , Svenungsson Elisabet , Boström Elisabeth A 
Published: March 2022

BackgroundLaboratory tests of blood and sometimes urine are used to diagnose and to monitor disease activity (DA) in SLE. Clinical practice would be simplified if non-invasive urine and salivary tests could be introduced as alternatives to blood samples. We therefore explored the levels of innate immunity-related biomarkers in matched serum, urine and saliva samples from patients with SLE.MethodsA total of 84 patients with SLE selected to represent high and low general DA, and 21 controls were included. All participants underwent a thorough clinical examination. General DA and renal DA were measured. The levels of colony-stimulating factor (CSF)-1, interleukin (IL)-34, tumour necrosis factor (TNF)-α, interferon-γ-induced protein (IP)-10, monocyte chemoattractant protein (MCP)-1, calprotectin, macrophage inflammatory protein (MIP)-1α and MIP-1β were analysed by immunoassays and related to DA.ResultsCSF-1, TNF-α, IP-10 and MCP-1 in saliva, serum and urine, as well as calprotectin in saliva and urine were increased in patients with SLE as compared with controls (p<0.05). TNF-α, IP-10 and MCP-1 in saliva, serum and urine, and CSF-1 in saliva and serum distinguished patients with SLE from controls (area under the curve >0.659; p<0.05 for all). CSF-1 in serum and urine, and calprotectin in saliva and urine, as well as TNF- α, IP-10 and MCP-1 in urine correlated positively with measures of general DA (p<0.05). Patients with SLE with active renal disease presented elevated levels of TNF-α, IP-10 and MCP-1 in urine and CSF-1 and IP-10 in serum as compared with patients with SLE with non-active renal disease.ConclusionsOur investigation demonstrates that saliva is a novel alternative body fluid, with potential for surveillance of general DA in patients with SLE, but urine is more informative in patients with SLE with predominantly renal DA.
Medication-taking for secondary prevention of acute myocardial infarction: a thematic meta-synthesis of patient experiences
Authors: Piekarz Hannah , Langran Catherine , Raza Amna , Donyai Parastou 
Published: March 2022

ObjectiveTo collate existing qualitative research examining patients’ medication-taking experiences in secondary prevention of acute myocardial infarction (AMI) and produce new knowledge, a systematic review and meta-synthesis of patient qualitative studies was conducted.MethodA systematic review found nine reports suitable for inclusion. Themes found by the report authors and report characteristic data were extracted. Reports were assessed for quality. A meta-synthesis using thematic coding and constant comparison method produced higher order themes, and these were used to construct a statement organised by theme using specific examples from the included studies.ResultsAll patients discussed their medication-taking in thematic categories of beliefs about medication and illness, personal ability and interpersonal factors. Themes differed between classes of medication and between patients, suggesting tailored interventions to medications and individual patients would be appropriate. Some themes overlapped with those discussed by the broader group of cardiovascular patients, but some themes were unique to this myocardial infarction patient group, again indicating that a tailored approach is appropriate for this patient group.ConclusionThe themes of beliefs about medication and illness, personal ability and interpersonal support provide tangible starting points for addressing adherence issues. The concept of medication-taking had unique elements within the post-AMI group of patients, and between classes of medication. While these themes were grouped into more generalised higher-order constructs, there were differences between patients within the themed group, indicating that themes are useful as a guide, but individual-level patient support is appropriate.
Gender equity in academic rheumatology: is there a gender gap at European rheumatology conferences?
Authors: Hassan Neelam , van Mens Leonieke JJ , Kiltz Uta , Andreoli Laura , Delgado-Beltran Concha , Ovseiko Pavel V , Gossec Laure , Coates Laura C 
Published: March 2022

ObjectivesTo obtain an overview of gender equity at European rheumatology conferences.MethodsThe proportion of women invited as either moderators or speakers to the European Alliance of Associations for Rheumatology (EULAR) annual congresses and national conferences in Europe was calculated from the published congress materials from EULAR annual congresses (2015–2019) and the 2019 national conferences of France, Germany, Italy, Spain and the UK. Data from EULAR congresses were further categorised by type of session. Significance testing was conducted using χ2 tests with the level of statistical significance set at p<0.05.ResultsThe proportion of combined women moderators and speakers at EULAR varied from 40% to 43% between 2015 and 2019 with no obvious trend over time. There were higher proportions of women in the Health Professionals in Rheumatology and People with Arthritis and Rheumatism sessions (>50% consistently). However, these sessions represent <25% of EULAR congress invitations. Representation of women at the EULAR congress in 2019 (39.6%) was significantly higher than at the national congresses in France (28.6%) and Germany (29.6%) but similar to that observed in Italy (33.7%), Spain (41.7%) and the UK (42%).ConclusionWomen account for less than half of invited moderators and speakers at the conferences reviewed. Compared with historical EULAR data in 2003 (16%) and in 2004 (19%), the gender gap at EULAR congresses has narrowed considerably, but there remains a need to monitor and improve women’s representation.
Using publicly available weather station data to investigate the effects of heat stress on milk production traits in Canadian Holstein cattle
Authors: Campos I.L. , Chud T.C.S , Oliveira H.R. , Baes C.F. , Cánovas A. , Schenkel F.S. 
Published: March 2022

Heat stress imposes a challenge to the dairy industry, even in northern latitudes. In this study, publicly available weather station data were combined with test-day records for milk, fat, and protein yields to identify the temperature–humidity index (THI) thresholds at which heat load starts affecting milk production traits in Canadian Holstein cows. Production loss per THI unit above the threshold for each trait was estimated. Test-day records from 2010 to 2019 from 166,749 cows raised in Ontario and from 221,214 cows raised in Quebec were analyzed. Annual economic losses (EL) due to heat stress were estimated from the average losses of fat and protein yields based on the annual average of 156 d with THI exceeding the calculated thresholds. Average thresholds for the daily maximum (THImax) and daily average (THIavg) THI estimated across lactations in both provinces were THImax (THIavg) 68 (64), 57 (50), and 60 (58) for milk, fat, and protein yield, respectively, indicating that milk components are more sensitive to heat stress. An EL of about $34.5 million per year was estimated. Our findings contribute to an initial investigation into the impact of heat stress on the Canadian dairy industry and provide a basis for genetic studies on heat tolerance.
Minimizing Latency for Data Aggregation in Wireless Sensor Networks: An Algorithm Approach
Authors: Pham Van-Trung , Nguyen Tu N. , Liu Bing-Hong , Thai My T. , Dumba Braulio , Lin Tong 
Published: March 2022

In wireless sensor networks (WSNs), especially in underwater sensor networks, the problem of reporting data to the sink with minimum latency has been widely discussed in many research works. Many studies address using data aggregation to report the same type of data to the sink without data collision in a short period of time. However, due to the rapid development of sensor technology in recent years, a sensor is allowed to have multiple sensing capabilities, that is, it can generate and collect different types of data. Because different types of data have different meanings and required aggregation functions, only the data that belong to the same type are allowed to be aggregated. In addition, due to the interference of the environment or noise, the links in the WSNs are often not bidirectional. This motivates us to study the problem of using minimum latency scheduling to aggregate and report data to the sink without data collision in multiple-data-type WSNs having unidirectional links, which is shown to be NP-hard in the article. The Relative-Collision-Graph-Based Scheduling Algorithm (RCGBSA) is proposed accordingly. Simulations are conducted to demonstrate the performance of the RCGBSA.
Recognizing Gaits Across Walking and Running Speeds
Authors: Yao Lingxiang , Kusakunniran Worapan , Wu Qiang , Xu Jingsong , Zhang Jian 
Published: March 2022

For decades, very few methods were proposed for cross-mode (i.e., walking vs. running) gait recognition. Thus, it remains largely unexplored regarding how to recognize persons by the way they walk and run. Existing cross-mode methods handle the walking-versus-running problem in two ways, either by exploring the generic mapping relation between walking and running modes or by extracting gait features which are non-/less vulnerable to the changes across these two modes. However, for the first approach, a mapping relation fit for one person may not be applicable to another person. There is no generic mapping relation given that walking and running are two highly self-related motions. The second approach does not give more attention to the disparity between walking and running modes, since mode labels are not involved in their feature learning processes. Distinct from these existing cross-mode methods, in our method, mode labels are used in the feature learning process, and a mode-invariant gait descriptor is hybridized for cross-mode gait recognition to handle this walking-versus-running problem. Further research is organized in this article to investigate the disparity between walking and running. Running is different from walking not only in the speed variances but also, more significantly, in prominent gesture/motion changes. According to these rationales, in our proposed method, we give more attention to the differences between walking and running modes, and a robust gait descriptor is developed to hybridize the mode-invariant spatial and temporal features. Two multi-task learning-based networks are proposed in this method to explore these mode-invariant features. Spatial features describe the body parts non-/less affected by mode changes, and temporal features depict the instinct motion relation of each person. Mode labels are also adopted in the training phase to guide the network to give more attention to the disparity across walking and running modes. In addition, relevant experiments on OU-ISIR Treadmill Dataset A have affirmed the effectiveness and feasibility of the proposed method. A state-of-the-art result can be achieved by our proposed method on this dataset.