Relevant Data Research Articles

Clinicopathological Characteristics, Prognosis, and Correlated Tumor Cell Function of Tropomodulin-3 in Pancreatic Adenocarcinoma.

Pancreatic adenocarcinoma (PAAD) is a frequent malignant tumor with a high mortality rate. Searching for novel biomarkers that can influence its prognosis may help patients. It has been shown that tropomodulin-3 (TMOD3) may influence tumor progression, but its role in pancreatic cancer is not clear. We aimed to explore the expression and prognostic value of TMOD3 in PAAD. We used bioinformatics analysis to analyze the relationship between TMOD3 expression and clinicopathological features and prognosis and verified it with clinical data from tissue microarray. We also conducted in vitro cell experiments to explore the effects of TMOD3 on the function of PAAD cells. TMOD3 expression was found to be significantly higher in PAAD tissues than in matched paracancerous tissues (P < 0.05). Meanwhile, high TMOD3 expression was associated with significantly poorer overall survival (P < 0.05). Analysis of relevant clinicopathological characteristics data obtained from TCGA showed that high TMOD3 expression correlated with age, TNM stage, N stage, and M stage (P < 0.05). Analysis of correlation data obtained from tissue microarrays showed that high TMOD3 expression was associated with lymph node invasion, nerve invasion, macrovascular invasion, and TNM stage (P < 0.05). In addition, siRNA knockdown of TMOD3 significantly reduced the migration and invasion of PAAD cells. Our study shows that TMOD3 may be associated with the progression of PAAD cells, and that it is an independent risk factor for poor pathological features and prognosis of PAAD. It may be helpful as a prognostic indicator of clinical outcomes in PAAD patients.

Sida cordifolia L.: Ethnobotany, Phytochemistry, Phytonanotechnology, and Commercial Application.

After a period of prolonged indifference, where synthetic drugs were preferred, interest in the biological aspects and bioactive ingredients of plants accountable for therapeutic potential has been explored eminently. Sida cordifolia L. is a perennial herb that has been widely utilized in Indian (Ayurveda, Unani, and Siddha), American, and Chinese folk medicine and herbalism practice for curing a wide range of ailments in human beings. The goal of this review is to elucidate indigenous knowledge parallelly with the pharmacotherapeutics potential of Sida cordifolia L. against various diseases. It is also intended to display pertinent information related to nanoparticle profiling. In the current comprehensive study, web-based searches were performed by using several databases, such as Google Scholar, PubMed, ResearchGate, Science Direct, and Scopus, to figure out relevant research work and data published in academic journals from 1930 to July, 2023 using single or combination of keywords listed herewith. More than 50 chemical constituents, including quinazoline and phenethylamine alkaloids, flavones, flavonol, phytosterol, fatty acids, etc., were reported to be found in different parts of healthy plants. Apart from traditional claims and pharmacological aspects, several marketed herbal formulations and granted patents were also described. Several in-vitro and in-vivo studies validated the usage of S. cordifolia as antiinflammatory, antibacterial, antifungal, antiprotozoal, anthelmintic, anticancer, antiulcer, cardioprotective, hypoglycemic, etc. agent. Few patents are also related to S. cordifolia, and more research work needs to be carried out for its potential granted to use as an antiviral agent and other new drug discovery molecules.

Leave No Photon Behind: Artificial Intelligence in Multiscale Physics of Photocatalyst and Photoreactor Design.

Although solar fuels photocatalysis offers the promise of converting carbon dioxide directly with sunlight as commercially scalable solutions have remained elusive over the past few decades, despite significant advancements in photocatalysis band-gap engineering and atomic site activity. The primary challenge lies not in the discovery of new catalyst materials, which are abundant, but in overcoming the bottlenecks related to material-photoreactor synergy. These factors include achieving photogeneration and charge-carrier recombination at reactive sites, utilizing high mass transfer efficiency supports, maximizing solar collection, and achieving uniform light distribution within a reactor. Addressing this multi-dimensional problem necessitates harnessing machine learning techniques to analyze real-world data from photoreactors and material properties. In this perspective, the challenges are outlined associated with each bottleneck factor, review relevant data analysis studies, and assess the requirements for developing a comprehensive solution that can unlock the full potential of solar fuels photocatalysis technology. Physics-informed machine learning (or Physics Neural Networks) may be the key to advancing this important area from disparate data towards optimal reactor solutions.

Models of care and the advanced practice nurse role in caring for children and adolescents with a cancer predisposition syndrome: a scoping review protocol.

This scoping review will examine the literature describing models of care, barriers and facilitators of care, and gaps in care delivery for children and adolescents with a cancer predisposition syndrome (CPS). It will also explore how advanced practice nurses contribute to the delivery of care for children and adolescents with a CPS. Cancer remains a leading cause of death in children and adolescents. Pediatric CPS clinics proactively aim for early diagnosis or prevention of cancer in children and adolescents with a CPS. Additionally, the holistic well-being of individuals requires a multidisciplinary team, including advanced practice nurses, to manage their complex health care needs. This review will consider both published and unpublished literature exploring aspects of models of care and the role of the nurse in pediatric CPS clinics. Literature published in English from 1991 onward will be considered. This scoping review will follow the JBI methodology for scoping reviews. The review will include searches in MEDLINE, Embase, and CINAHL Complete. Gray literature searches will be conducted in OAIster and Social Science Research Network, as well as websites of hospitals in the USA and the UK with large pediatric cancer centers. Two reviewers will screen titles, abstracts, and full-text articles. An extraction table will be used to extract relevant data from all included articles and facilitate data analysis. Results will be presented in narrative and tabular format. Open Science Framework osf.io/axkp7/.

Wikstroemia: A Review on its Phytochemistry and Pharmacology.

Wikstroemia (the family Thymelaeaceae) consists of medicinal plants which established great value in traditional medicines for many years. For instance, W. indica is always recommended for treatments of syphilis, arthritis, whooping cough, and cancer. No systematic review of bioactive compounds from this genus has been recorded to date. The objective of the current study is to review phytochemical investigations and pharmacological effects of Wikstroemia plant extracts and isolates. By searching on the internet, the relevant data about Wikstroemia medicinal plants were retrieved from internationally renowned scientific databases, such as Web of Science, Google Scholar, Sci-Finder, Pubmed, and so on. More than 290 structurally diverse metabolites were separated and identified from this genus. They include terpenoids, lignans, flavonoids, coumarins, mono-phenols, diarylpentanoids, fatty acids, phytosterols, anthraquinones, and others. Pharmacological records indicated that Wikstroemia plant crude extracts and their isolated compounds bring out various beneficial effects, such as anticancer, antiinflammatory, anti-aging, anti-viral, antimicrobacterial, antimalarial, neuroprotective, and hepatoprotective activities Conclusion: Wikstroemia has been regarded as a worthy genus with numerous phytochemicals and various pharmacological potentials. Modern pharmacological studies have successfully provided evidence for traditional uses. Nonetheless, their action mechanisms need to be further investigated. Although various secondary metabolites were identified from Wikstroemia plants, the current pharmacological research mainly concentrated on terpenoids, lignans, flavonoids, and coumarins.

Image dermoscopy skin lesion classification using deep learning method: systematic literature review

Classifying skin lesions poses a significant challenge due to the distinctive characteristics and diverse shapes they can exhibit, particularly in identifying early-stage melanoma. To address the shortcomings of the prior method, a neural network-driven strategy was introduced to differentiate between two types of skin lesions based on dermoscopic images. This new approach comprises four key stages: i) initial image processing, ii) skin lesion segmentation, iii) feature extraction, and iv) classification using deep neural networks (DNNs). Computers can also provide more accurate diagnosis results. In the review process, the articles are analyzed and summarized to contribute to developing methods or application development in skin lesion diagnosis. The stages include defining the relevant theory, input data, methods used (architecture and modules), training process, and model evaluation. This review also explores information based on trends and users, emphasizing the skin lesion segmentation process, skin lesion classification process, and minimal datasets as recommendations for future research.

Clinicopathological Findings and Treatment Outcomes of Patients with Primary Hepatobiliary Neuroendocrine Neoplasms: A Retrospective Single-institution Analysis.

Objective Primary hepatobiliary neuroendocrine neoplasms (NENs) are rare tumors exhibiting several morphological and behavioral characteristics. Considering the lack of relevant data on this topic, we evaluated the clinicopathological features and treatment outcomes of patients with primary hepatobiliary NENs. Methods/Patients We examined 43 consecutive patients treated at the National Cancer Center Hospital with pathological diagnoses of primary hepatobiliary NEN between 1980 and 2016. Results Nine patients were diagnosed with neuroendocrine tumor (NET) G1, 9 with NET G2, and 25 with neuroendocrine carcinoma (NEC) based on the World Health Organization 2019 classification. Patients with NEC had primary sites across the hepatobiliary organs, although sites in patients with NET G1 and NET G2 only included the liver and ampulla of Vater. Patients with primary extrahepatic bile duct or ampulla of Vater NENs tended to be diagnosed earlier than patients with primary gallbladder NENs. The median survival times in the NET G1, NET G2, and NEC groups were 167.9, 97.4, and 11.1 months, respectively. A good performance status, absence of distant metastases, and low tumor grade were identified as independent predictors of a favorable prognosis. Conclusion The NET-to-NEC ratio and tumor stage distribution at the diagnosis differed depending on the primary site. Patients with G1 and G2 NETs who underwent surgical resection had good prognoses, whereas those with NEC exhibited more advanced disease and poorer prognoses. The performance status, staging classification, and tumor grade are important factors to consider when devising an appropriate treatment strategy and predicting the prognoses of patients with primary hepatobiliary NEN.

Knowledge, attitude, and perception of obstetric fistula in some divisions in the far north region of Cameroon

Obstetric fistula is a condition caused by neglected, prolonged obstructed labor. All societies have different customs and beliefs which are unique to them and, these customs and beliefs make them to have different regard to obstetric fistula. Since no two individuals are the same, as even identical twins do not reason in the same manner has given rise to so many different regards to obstetric fistula in the Far North Region. A qualitative, exploratory, descriptive, and contextual approach coupled with primary and secondary data were used in this study. The data collection techniques convoked were interviews, life history, direct observation, and literature review from relevant documents. The data collection tools consisted of a pen, notebook and a dicta phone. A total of 40 informants were interviewed of which 28 were fistula cases, social workers and other resource persons. A content analysis of the data was done wherein relevant data was represented on tables, in figures and percentages in order to give an in-depth interpretation of the results obtained. The community generally have very little knowledge about obstetric fistula and a very negative attitude and perception towards the cause and treatment of obstetric fistula as the fistula cases were stigmatized and also maginalised. From the various knowledge and perceptions on the causes of obstetric fistula outlined in this study, it has greatly influenced the attitude of the community towards obstetric fistula patients as there are both negative and positive attitudes towards them.

Math Word Problem Generation via Disentangled Memory Retrieval

The task of math word problem (MWP) generation, which generates an MWP given an equation and relevant topic words, has increasingly attracted researchers’ attention. In this work, we introduce a simple memory retrieval module to search related training MWPs, which are used to augment the generation. To retrieve more relevant training data, we also propose a disentangled memory retrieval module based on the simple memory retrieval module. To this end, we first disentangle the training MWPs into logical description and scenario description and then record them in respective memory modules. Later, we use the given equation and topic words as queries to retrieve relevant logical descriptions and scenario descriptions from the corresponding memory modules, respectively. The retrieved results are then used to complement the process of the MWP generation. Extensive experiments and ablation studies verify the superior performance of our method and the effectiveness of each proposed module. The code is available at https://github.com/mwp-g/MWPG-DMR .

Assessment of weight gain in adult patients living with HIV receiving first-line dolutegravir-based or efavirenz-based ART regimens in routine care clinics in Tshwane district, South Africa: An observational study.

Although dolutegravir (DTG) is deemed stable, safe, cost-effective, and clinically beneficial, it also carries the risk of side effects, including observed weight gain among patients on DTG-based antiretroviral therapy (ART) regimens. We compared weight changes among adults (≥18 years) initiating tenofovir disoproxil fumarate, lamivudine, and dolutegravir (TLD) or tenofovir disoproxil fumarate, emtricitabine, and efavirenz (TEE) regimens and those switching from TEE to TLD (TEE-to-TLD switchers) in three large primary care facilities in South Africa METHODS: We conducted a retrospective longitudinal record review using patient medical records, extracting relevant demographic and clinical data from October 2018 to June 2021 from randomly selected adults who initiated TLD or TEE (initiators) and adult TEE-to-TLD switchers. We assessed weight, body mass index (BMI), and percentage weight changes for both groups and fitted linear regression and generalized linear models to determine factors associated with weight and BMI change and percentage weight change ≥10%, respectively, among treatment initiators. We fitted linear mixed-effect models among TEE-to-TLD switchers to consider repeated measures. Of 860 initiators, 450 (52.3%) initiated on TEE and 410 (47.7%) on TLD, with median follow-up of 1.4 years and 1.0 year, respectively. At initiation, 43.3% on TEE and 40.8% on TLD were overweight or obese. TLD initiators had an adjusted higher mean weight gain of 1.6 kg (p < 0.001) and mean BMI gain of 0.51 kg/m2 (p < 0.001) than TEE initiators. Independent risk factors for higher mean weight and BMI included age ≥50 years, male, on ART for >12 months, initial BMI of <18.5 kg/m2, and CD4 counts <200 cells/μL. Of 298 TEE-to-TLD switchers, 36.6% were overweight or obese at TEE initiation. Comparing before and after TLD switch, TEE-to-TLD switchers had an adjusted mean weight of 1.2 kg less while on TLD (p = 0.026). Being overweight and CD4 counts >350 cells/μL were independent risk factors for lower weight gain after TLD switch. We report more weight gain among TLD than among TEE initiators, although to a lesser extent than previously reported. TEE-to-TLD switchers experienced less weight gain after TLD switch; return to health before receiving TLD may be a contributory factor. The current findings are reassuring for those switching to a DTG-based regimen.

A STUDY ON THE IMPACT OF SOCIAL MEDIA USER EXPERIENCE ON THE BRAND PERCEPTION AND CHOICE OF CHONGQING VOCATIONAL COLLEGE STUDENTS: A GENDER-BASED MODERATING EFFECT

&lt;p&gt;With the vigorous development of social media in China and the increasing demand for enhancing the brand value of higher vocational colleges, the impact of students' brand experience and perceptual behavior on the brand value of higher vocational colleges on social media has become a focus that every higher vocational college cannot ignore. There are few studies in the academic community on the impact of students' brand experience and perceptual behavior on the brand value of higher vocational colleges on social media, and most of them still remain at the level of ordinary undergraduate colleges and social media teaching. However, with the rapid development of information technology, social media has become an important platform for students to obtain information, exchange views, and shape personal cognition. Therefore, this study is crucial for brand marketing and brand construction of higher vocational colleges, as well as future enrollment. This study selected 462 students in Chongqing as the research object, using AMOS structural equation modeling, through the design of social media brand experience, student perceptual behavior questionnaire, and higher vocational college brand value evaluation tool, we collected relevant quantitative data. The aim is to comprehensively understand the impact of social media brand experience and student perceptual behavior on the brand value of higher vocational colleges. The focus of particular attention is the possible moderating effect of gender on student perceptual behavior and higher vocational college brand value. The research results show that student perceptual behavior as an intermediary has a significant positive partial mediating relationship between social media brand experience and higher vocational college brand value. At the same time, gender as a moderating variable plays a significant moderating role in student perceptual behavior and higher vocational college brand value. Moreover, the moderating effect of female students is significantly greater than that of male students. This finding provides practical guidance for brand management in higher vocational colleges and helps to develop more targeted brand promotion strategies.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/lit/0558/a.php" alt="Hit counter" /&gt;&lt;/p&gt;

Climatic scenario-based integrated recurrent ensemble model for energy demand forecasting

This study presents an improved approach to estimate future energy demand based on climate scenarios, upstream documents, and Machine Learning (ML). To accurately predict future weather conditions, a Regional Climate Model (RCM) is developed. The RCM incorporates an ensemble approach that combines the power of recurrent neural network and recurrent random forest algorithms to analyze relevant data. The demand model incorporates correction coefficients that are derived from behavioral and variations in income, coupled with an ensemble and recurrent ML models. Four scenarios named from the distinctive wildlife are considered for Tehran, I. R. Iran as a real case study for megacities. The average temperature in the Caracal, Striped hyena, and Balochistan black bear scenarios is projected to be 0.91 °C, 2.01 °C, and 2.86 °C higher than the Persian cheetah scenario between 2015 and 2100. Similarly, natural gas demands are estimated to be 0.93, 4.91, and 3.38 times higher than the Persian cheetah scenario by 2050, respectively. The electricity demand is also 14, 3.98, and 3.50 times higher in the Caracal, Striped hyena, and Balochistan black scenarios compared to the Persian cheetah.This study has developed scenarios delineating future temperature conditions, as well as revealing how energy demand changes within climate change. The results of this study precisely identify the influential features for predicting future energy demand and temperature, indicating that utilizing recurrent models is preferable for forecasting future temperature and energy demand.These changes in the energy demand have significant implications for investment in the energy supply sector as well as the greenhouse gas emissions and the air pollution levels. Therefore, it is crucial to prioritize climate scenarios that lead to a decrease in energy demand to reach sustainable zero-emission cities.

Exposure-efficacy and exposure-safety analyses of ropeginterferon alfa-2b treatment in patients with polycythaemia vera.

To investigate the exposure-response (E-R) relationship, including exposure-efficacy and exposure-safety, of ropeginterferon alfa-2b treatment in patients with polycythaemia vera (PV). Based on the results of the phase II trial A20-202 regarding ropeginterferon alfa-2b in patients with PV, E-R analyses were performed to evaluate the efficacy and safety of the given dosing regimen. The E-R analyses were based on logistic and linear regression and the relationship between exposure to ropeginterferon alfa-2b and key efficacy and safety variables. The key efficacy variables included complete haematologic response (CHR) and reduction of the driver mutation JAK2V617F. The safety variable was treatment-related adverse events (TRAEs). A clear relationship between the exposure to ropeginterferon alfa-2b and CHR was observed, with an increase in drug exposure resulting in an increased probability of achieving CHR. Similar CHR probabilities were observed in the third and fourth quantiles of the average concentration at Week 24. The results from the exposure-JAK2V617F model indicated that the JAK2V617F allele burden decreased with increasing exposure to ropeginterferon alfa-2b and baseline body surface area. Exposure-safety analysis revealed a risk of AEs associated with transaminase abnormalities, which were not associated with clinical significance. Our analyses have shown that patients with PV treated with ropeginterferon alfa-2b had an increased probability of achieving CHR and a molecular response with acceptable safety risks at the 250-350-500 μg titration dosing regimen. This study has provided the relevant data for the application of a biologics licence of ropeginterferon alfa-2b for PV treatment in China.

Spatiotemporal clustering of dam settlement monitoring using instrumentation data (case study: Eyvashan Earth Dam)

The integrity of monitoring data is important for studying the amount and location of deformation in earth dams. In this research, the meeting of the Eyvashan Earth Dam was analyzed using the results of precision instruments over a period of eight years during three periods of construction, first impoundment, and exploitation. To verify the accuracy of the results, the numerical model of the largest section of the dam was constructed with Plaxis software and analyzed according to the Mohr–Coulomb behavior model. The results showed that since the beginning of construction, the occurrence of settlements in the core of the dam has been increasing, and with the passage of time, settlements reach a constant value in the operation phase. The maximum settlement of the dam core at the end of the construction stage was 809 mm, which was equal to 1.2% of the dam height in the middle level. Additionally, an approach based on spatiotemporal clustering has been presented to improve the interpretability of the settlement behavior of earth dams. Clustering analysis of spatiotemporal data is used as a measure to determine the similarity of settlements and to select relevant data. Therefore, k-means clustering algorithms and two-step clustering were used to determine the displacement of earth dams. By comparing the correlation results, the proposed method of detecting settlement areas using a spatiotemporal clustering model can be considered a reliable method for monitoring the settlement of earth dams.

Surveillance of Waterborne Disease Outbreaks Associated with Drinking Water - United States, 2015-2020.

Public health agencies in U.S. states, territories, and freely associated states investigate and voluntarily report waterborne disease outbreaks to CDC through the National Outbreak Reporting System (NORS). This report summarizes NORS drinking water outbreak epidemiologic, laboratory, and environmental data, including data for both public and private drinking water systems. The report presents outbreak-contributing factors (i.e., practices and factors that lead to outbreaks) and, for the first time, categorizes outbreaks as biofilm pathogen or enteric illness associated. 2015-2020. CDC launched NORS in 2009 as a web-based platform into which public health departments voluntarily enter outbreak information. Through NORS, CDC collects reports of enteric disease outbreaks caused by bacterial, viral, parasitic, chemical, toxin, and unknown agents as well as foodborne and waterborne outbreaks of nonenteric disease. Data provided by NORS users, when known, for drinking water outbreaks include 1) the number of cases, hospitalizations, and deaths; 2) the etiologic agent (confirmed or suspected); 3) the implicated type of water system (e.g., community or individual or private); 4) the setting of exposure (e.g., hospital or health care facility; hotel, motel, lodge, or inn; or private residence); and 5) relevant epidemiologic and environmental data needed to describe the outbreak and characterize contributing factors. During 2015-2020, public health officials from 28 states voluntarily reported 214 outbreaks associated with drinking water and 454 contributing factor types. The reported etiologies included 187 (87%) biofilm associated, 24 (11%) enteric illness associated, two (1%) unknown, and one (<1%) chemical or toxin. A total of 172 (80%) outbreaks were linked to water from public water systems, 22 (10%) to unknown water systems, 17 (8%) to individual or private systems, and two (0.9%) to other systems; one (0.5%) system type was not reported. Drinking water-associated outbreaks resulted in at least 2,140 cases of illness, 563 hospitalizations (26% of cases), and 88 deaths (4% of cases). Individual or private water systems were implicated in 944 (43%) cases, 52 (9%) hospitalizations, and 14 (16%) deaths.Enteric illness-associated pathogens were implicated in 1,299 (61%) of all illnesses, and 10 (2%) hospitalizations. No deaths were reported. Among these illnesses, three pathogens (norovirus, Shigella, and Campylobacter) or multiple etiologies including these pathogens resulted in 1,225 (94%) cases. The drinking water source was identified most often (n = 34; 7%) as the contributing factor in enteric disease outbreaks. When water source (e.g., groundwater) was known (n = 14), wells were identified in 13 (93%) of enteric disease outbreaks.Most biofilm-related outbreak reports implicated Legionella (n = 184; 98%); two nontuberculous mycobacteria (NTM) (1%) and one Pseudomonas (0.5%) outbreaks comprised the remaining. Legionella-associated outbreaks generally increased over the study period (14 in 2015, 31 in 2016, 30 in 2017, 34 in 2018, 33 in 2019, and 18 in 2020). The Legionella-associated outbreaks resulted in 786 (37%) of all illnesses, 544 (97%) hospitalizations, and 86 (98%) of all deaths. Legionella also was the outbreak etiology in 160 (92%) public water system outbreaks. Outbreak reports cited the premise or point of use location most frequently as the contributing factor for Legionella and other biofilm-associated pathogen outbreaks (n = 287; 63%). Legionella was reported to NORS in 2015 and 2019 as the cause of three outbreaks in private residences (2). The observed range of biofilm and enteric drinking water pathogen contributing factors illustrate the complexity of drinking water-related disease prevention and the need for water source-to-tap prevention strategies. Legionella-associated outbreaks have increased in number over time and were the leading cause of reported drinking water outbreaks, including hospitalizations and deaths. Enteric illness outbreaks primarily linked to wells represented approximately half the cases during this reporting period. This report enhances CDC efforts to estimate the U.S. illness and health care cost impacts of waterborne disease, which revealed that biofilm-related pathogens, NTM, and Legionella have emerged as the predominant causes of hospitalizations and deaths from waterborne- and drinking water-associated disease. Public health departments, regulators, and drinking water partners can use these findings to identify emerging waterborne disease threats, guide outbreak response and prevention programs, and support drinking water regulatory efforts.

Percutaneous microwave ablation of T1a renal cell carcinomas: A 10-year single-center retrospective review.

Partial nephrectomy is currently the preferred treatment option for T1a renal cell carcinomas (RCC), with nephron-sparing techniques, including microwave ablation, becoming more common in select patients. Primary aims are to document outcomes of microwave ablation for T1a RCCs in an Australian tertiary centre to add to the evidence for its safety and efficacy. The prospectively maintained Sir Charles Gairdner Hospital Interventional Radiology database was retrospectively searched for all Renal Microwave ablations completed between June 2012 and February 2022. This database and a combination of hospital programmes including Agfa Impax PACS, Bossnet digital medical record and iSoft Clinical Manager were used to extract the relevant data which was anonymized and entered into an Excel spreadsheet for analysis. Forty-eight patients underwent microwave ablation for 50 tumours. Of these, there were two local and two distant recurrences. A fifth patient had metastases on presentation. Higher local recurrence rates were associated with larger tumour size (P = 0.043). Tumour proximity to the collecting system <4 mm was associated with higher rates of complications (P = 0.020). RENAL scores did not show statistically significant correlation with complications (P = 0.092) or local or distant recurrence. Notably, the study follow-up time was longer than many comparative studies (mean = 2796, ~7.66 years censoring for death and mean = 832 days, ~2.28 years not censoring for death). Consistent with the literature, this study further demonstrates that microwave ablation is a safe and efficacious option for treatment of T1a RCC.

Effectiveness of Vasopressin Against Cardiac Arrest: A Systematic Review of Systematic Reviews.

This systematic review (SR) of SRs evaluates the effectiveness of vasopressin alone or in combination with other drugs in improving the outcomes of cardiac arrest (CA). Using a three-step approach, we searched five databases to identify all relevant SRs. Two reviewers independently selected suitable studies, assessed study quality, and extracted relevant data. If an outcome was reported by multiple SRs, a re-meta-analysis was conducted as needed; otherwise, a narrative analysis was performed. Twelve SRs covering 16 original studies were included in this review. The meta-analysis results revealed a significant increase in survival to hospital admission for patients with in-hospital CA (IHCA) or out-of-hospital CA (OHCA) receiving vasopressin alone compared with that for those receiving epinephrine alone. Furthermore, the return of spontaneous circulation (ROSC) was significantly increased in patients with OHCA receiving vasopressin with epinephrine compared with that in those receiving epinephrine alone. Compared with patients with IHCA receiving epinephrine with placebo, those receiving vasopressin, steroids, and epinephrine (VSE) exhibited significant increases in ROSC, survival to hospital discharge, favorable neurological outcomes, mean arterial pressure, renal failure-free days, coagulation failure-free days, and insulin requirement. VSE is the most effective drug combination for improving the short- and long-term outcomes of IHCA. It is recommended to use VSE in patients with IHCA. Future studies should investigate the effectiveness of VSE against OHCA and CA of various etiologies, the types and standard dosages of steroids for cardiac resuscitation, and the effectiveness of vasopressin-steroid in improving CA outcomes.

The impact of metformin on weight and metabolic parameters in patients with obesity: A systematic review and meta-analysis of randomized controlled trials.

There are conflicting data on the weight-reducing potential of metformin (MTF) in nondiabetic patients with obesity. The purpose of this systematic review and meta-analysis was to evaluate the effect of MTF on weight and cardiometabolic parameters in adults with overweight/obesity with or without nonalcoholic fatty liver disease (NAFLD) (CRD42018085512). We included randomized controlled trials (RCTs) in adults without diabetes mellitus, with mean body mass index (BMI) ≥ 25 kg/m2, with or without NAFLD, comparing MTF to placebo/control, lifestyle modification (LSM) or a US Food and Drug Administration-approved anti-obesity drug, reporting on weight or metabolic parameters, and extending over at least 3 months. We conducted a systematic search in MEDLINE, EMBASE, PubMed and the Cochrane Library without time limitation (until March 2022). We screened and selected eligible articles, abstracted relevant data, and assessed the risk of bias. All steps were in duplicate and independently. We conducted a random-effects model meta-analysis using Review Manager version 5.3, with prespecified subgroup analyses in case of heterogeneity. We identified 2650 citations and included 49 trials (55 publications). Compared to placebo, MTF was associated with a significant reduction in BMI (mean difference [MD] -0.56 [-0.74, -0.37] kg/m2; p < 0.0001), at doses ranging from 500 to 2550 mg/day, and with a significant percentage change in BMI of -2.53% (-2.90, -2.17) at the dose 1700 mg/day. There was no interaction by baseline BMI, MTF dose or duration, nor presence or absence of NAFLD. There was no significant difference between MTF and LSM. Orlistat was more effective than MTF (at doses of 1000-1700 mg/day) in terms of weight loss, with an MD in BMI of -3.17 (-5.88; -0.47) kg/m2, favouring the former. Compared to placebo/control, MTF improved insulin parameters, while no effect was detected when compared to LSM. A few small trials showed heterogenous effects on liver parameters in patients with NAFLD treated with MTF compared to placebo/control. There was a large variability in the expression of outcome measures and RCTs were of low quality. In conclusion, MTF was associated with a modest weight reduction in obese nondiabetic patients. Further high-quality and better powered studies are needed to examine the impact of MTF in patients with insulin resistance and NAFLD.

Expression of concern: Natural copy number variation of tandemly repeated regulatory SNORD RNAs leads to individual phenotypic differences in mice.

Keshavarz, M., Savriama, Y., Refki, P., Reeves, R. G., & Tautz, D. (2021). Natural copy number variation of tandemly repeated regulatory SNORD RNAs leads to individual phenotypic differences in mice. Molecular Ecology, 30, 4708-4722. https://doi.org/10.1111/mec.16076 This expression of concern is for the above article, published online on 12 July 2021 in Wiley Online Library (wileyonlinelibrary.com), and has been published by agreement between the journal Editor-in-Chief, Loren Rieseberg and John Wiley & Sons Ltd. The expression of concern follows an internal investigation by the Max-Planck Society, which found a number of inconsistencies in the supporting information of the article, later also confirmed by the authors: Incorrect sex assignment for a set of mouse IDs (reported in TableS1, SNORD copy numbers) Inconsistencies in the ddPCR data that were used to determine SNORD copy number variation (reported in Tables S1, S4 and S6): Over-representation of certain values for SD, incorrect calculation of averages and SD values (TableS1, SNORD copy numbers). SNORD115 and SNORD116 copy numbers differed between columns C and I and columns D and J, respectively, despite having been determined only once (TableS4, other CNVs). Incorrect mouse IDs for family VI and VIII (TableS6, family study). Replicate three for SNORD115 and SNORD116 determination is often identical to the average (TableS6, family study). D.T. and M.K. could not retrieve the relevant raw data for the published ddPCR experiments that would have allowed to resolve the inconsistencies based on a re-analysis. Consequently, it cannot be excluded that these irregularities affect the reproducibility of the study and the conclusions that are based on these data. Therefore, the journal has decided to issue an expression of concern to inform and alert the readers. The transcriptome analyses and morphometric data presented in the article remain valid, including the corresponding original data depositions at ENA (accession number PRJEB29473) and Zenodo (record 4750371). The issues with the incorrect sex assignment (TableS1) and the erroneous mouse IDs (TableS6) were resolved, the corrected Tables S1 and S6 are provided in the updated Supporting Information.

Comprehensive analysis of the role of interferon gamma-inducible protein 30 on immune infiltration and prognosis in clear cell renal cell carcinoma.

Although the immune factor interferon gamma-inducible protein 30 (IFI30) has been linked to the growth and immune infiltration of various malignancies, its function and mechanism in clear cell renal cell carcinoma (ccRCC) remains unclear. We used several databases to detect and validate IFI30 expression in ccRCC and its connection to immune invasion. We found that IFI30 expression was higher in ccRCC tissues compared to normal tissues, and was strongly associated with tumor grade, T stage, and M stage. Univariate and multivariate analyses showed that ccRCC cases with lower IFI30 expression levels had a higher OS rate than those with high IFI30 expression (P < 0.05). Additionally, we collected a total of 104 cases of ccRCC and adjacent tissues from the First Affiliated Hospital of Jinzhou Medical University between January 2018 and January 2020 for immunohistochemical (IHC) analysis, along with their relevant clinicopathological data. The relationship between IFI30 and expression of CD3E, CD4, CD8A, interleukin 10 (IL-10) and transforming growth factor beta (TGFB2) was examined using the ccRCC data from The Cancer Genome Atlas (TCGA) database, with findings verified by IHC analysis using the collected cases. Statistical analysis performed with SPSS found the positive correlation between the expression of CD3E, CD4, CD8A and IL-10 and the IFI30 expression, and negative correlation of TGFB2 expression with the IFI30 expression in ccRCC. Concurrently, a notable association was observed between high IFI30 expression and immune cell infiltration in ccRCC. High IFI30 expression is connected to the ccRCC's poor prognosis with the infiltration of immune cell. These findings suggest that high IFI30 expression could serve as a marker of poor prognosis and be associated with immune cell infiltration in ccRCC.