Critical Tool Research Articles

The Economy of Critical Attention: A Computational Analysis of Roland Barthes’s S/Z

Abstract This article argues for the importance of analyzing distributions of literary-critical attention to understand the shape of our discipline and how it has evolved. The article sees critical attention as a scarce resource in literary economies, both within a single text and at much larger scales—even across time. Circulations of critical attention are directed by filtering models, a concept borrowed from cognitive psychology that refers to how competing demands for attention are prioritized. The accrual of critical attention implicitly signals the location of value in a literary economy. When this accrual (or lack thereof) is quantified using computational methodologies, we can track where critical attention goes, how much of it, and why. As a proof of this concept, the article offers a quantitative analysis of critical attention in Roland Barthes’s S/Z. This work reveals the hidden logics of Barthes’s distribution of critical attention and demonstrates how such analyses can identify the filtering models that operate in our critical tools and practices.

A Proposed Framework for Rigor and Transparency in Dysphagia Research: Prologue.

Scientific transparency and rigor are essential for the successful translation of knowledge in clinical research. However, the field of oropharyngeal dysphagia research lacks guidelines for methodological design and reporting, hindering accurate interpretation and replication. This article introduces the Framework for RigOr aNd Transparency In REseaRch on Swallowing (FRONTIERS), a new critical appraisal tool intended to support optimal study design and results reporting. The purpose of introducing FRONTIERS at this early phase is to invite pilot use of the tool and open commentary. FRONTIERS was developed by collaborating researchers and trainees from six international dysphagia research labs. Eight domains were identified, related to study design, swallowing assessment methods, and oropharyngeal dysphagia intervention reporting. Small groups generated questions capturing rigor and transparency for each domain, based on examples from the literature. An iterative consensus process informed the refinement and organization of primary and subquestions, culminating in the current initial version of FRONTIERS. FRONTIERS is a novel tool, intended for use by oropharyngeal dysphagia researchers and research consumers across disciplines. A web application enables provisional use of the tool, and an accompanying survey solicits feedback regarding the framework. FRONTIERS seeks to foster rigor and transparency in the design and reporting of oropharyngeal dysphagia research. We encourage provisional use and invite user feedback. A future expert consensus review is planned to incorporate feedback. By promoting scientific rigor and transparency, we hope that FRONTIERS will support evidence-based practice and contribute to improved health outcomes for individuals with oropharyngeal dysphagia.

Patient-Reported Outcome Measures for Swallowing: A Proposed Checklist.

Patient-reported outcome measures (PROMs) are an important tool both in clinical practice and research involving patients with swallowing disorders. There are several challenges to be overcome and methodological details to be adequately reported to ensure rigor and transparency in studies utilizing PROMs in dysphagia research. For this reason, the Framework for RigOr aNd Transparency In REseaRch on Swallowing (FRONTIERS), a critical appraisal tool developed to ensure rigor and transparency in dysphagia research, has devoted a domain to PROMs. The aim of this current article, as part of a larger forum of articles, is to present the PROM section of FRONTIERS and describe its development. A literature review was carried out on PROMs in the field of dysphagia by three members of the FRONTIERS collaborative to identify items that were necessary for the rigorous application and transparent reporting of PROMs utilized in research of swallowing disorders in human subjects. Framework items were then subjected to an iterative process of feedback and consensus among the three members of the working group as well as all members of the FRONTIERS collaborative. Items were flagged for review and revised as needed until consensus was achieved on the final list. The final item list was compared to existing critical appraisal tools for PROMs. The final checklist for the PROMs domain included 20 "Yes/No" questions that can be broadly divided into three categories: (a) development and validation, (b) patient population, and (c) PROM administration method. Each item is presented with a rationale for its inclusion. The use of the FRONTIERS Framework will serve researchers and those appraising quality of research involving PROMs. More broadly, the FRONTIERS Framework will facilitate improved rigor and transparency across dysphagia research. Special considerations and future goals are discussed.

The role of cardiac acoustic biomarkers in monitoring patients with heart failure: A systematic literature review.

Heart failure (HF) creates a considerable clinical, humanistic and economic burden on patients and caregivers as well as on healthcare systems. To attenuate the significant burden of HF, there is a need for enhanced management of patients with HF. The use of digital tools for remote non-invasive monitoring of heart parameters is gaining traction, and cardiac acoustic biomarkers (CABs) have been proposed as a complementary set of measures to assess heart function alongside traditional methods such as electrocardiogram and echocardiography. We conducted a systematic literature review to evaluate associations between CABs and HF outcomes. Embase and MEDLINE databases were searched for recent studies published between 2013 and 2023 that evaluated CABs in patients with HF. Additional grey literature (i.e., conference, congress and pre-print publications from January 2021 to May 2023) searches were included. Two reviewers independently examined all articles; a third resolved conflicts. Data were extracted from articles meeting inclusion criteria. Extracted studies underwent quality and bias assessments using the Joanna Briggs Institute (JBI) critical appraisal tools. In total, 3074 records were screened, 73 full-text articles were assessed for eligibility and 27 publications were included. Third heart sound (S3) and electromechanical activation time (EMAT) were the CABs most often reported in the literature for monitoring HF. Fifteen publications discussed changes in S3 characteristics and its role in HF detection or outcomes: six studies highlighted S3 assessment among various groups of patients with HF; four studies evaluated the strength or amplitude of S3 with clinical outcomes; five studies assessed the relationship between S3 presence and clinical outcomes; and one study assessed both S3 presence and amplitude in relation to HF clinical outcomes. Eleven publications reported on EMAT and its derivatives: five studies on the relationship between EMAT and HF and six studies on the association of EMAT and HF clinical outcomes. Studies reporting the first and fourth heart sound, left ventricular ejection time and systolic dysfunction index were limited. Published literature supported S3 and EMAT as robust CAB measures in HF that may have value in remote clinical monitoring and management of patients with HF. Additional studies designed to test the predictive power of these CABs, and others less well-characterized, are needed. This work was funded by Astellas Pharma Inc.

Two decades of stakeholder voices: Exploring engagement in Romania's FSC forest management certification

Stakeholders' engagement in forest management decision-making is a critical tool for enhancing the business acceptability of the forest sector, and the Forest Stewardship Certification (FSC) scheme proactively involves stakeholders in its implementation. Based on the stakeholder theory, this study examined stakeholder's engagement in the FSC forest management certification in Romania over the past two decades to identify the extent and inputs of their involvement in the process. Using in-depth content analysis and text mining techniques, we explored publicly available information from 209 public reports covering 45 forest management certificates. According to data available in 178 reports, the average number of stakeholders notified per audit was 50.7. However, response evidence was found in 128 reports, with an average of 1.2 responses per audit, suggesting a limited engagement in the process. Additional stakeholders' feedback was received as part of the on-site audits, with an average of 10.2 responses per audit. Given the inconsistencies in the reporting format between certification bodies, we set a structured framework to analyse the findings on stakeholders' engagement from different report sections. The employed analytical framework sheds light on stakeholder and legitimacy theories in forest certification. Our findings highlighted stakeholders' predominantly positive feedback tone, evenly distributed across all stakeholder types and the four analysis domains. Negative feedback accounted for only 9.4% of the findings, highlighting areas for improvement for certificate holders, companies in the timber supply chain and public authorities. This study's findings may assist FSC in refining its stakeholder engagement practices, contributing to enhanced participation and better risk mitigation of non-compliance with standard requirements.

Performance of ChatGPT-3.5 and GPT-4 in national licensing examinations for medicine, pharmacy, dentistry, and nursing: a systematic review and meta-analysis

BackgroundChatGPT, a recently developed artificial intelligence (AI) chatbot, has demonstrated improved performance in examinations in the medical field. However, thus far, an overall evaluation of the potential of ChatGPT models (ChatGPT-3.5 and GPT-4) in a variety of national health licensing examinations is lacking. This study aimed to provide a comprehensive assessment of the ChatGPT models’ performance in national licensing examinations for medical, pharmacy, dentistry, and nursing research through a meta-analysis.MethodsFollowing the PRISMA protocol, full-text articles from MEDLINE/PubMed, EMBASE, ERIC, Cochrane Library, Web of Science, and key journals were reviewed from the time of ChatGPT’s introduction to February 27, 2024. Studies were eligible if they evaluated the performance of a ChatGPT model (ChatGPT-3.5 or GPT-4); related to national licensing examinations in the fields of medicine, pharmacy, dentistry, or nursing; involved multiple-choice questions; and provided data that enabled the calculation of effect size. Two reviewers independently completed data extraction, coding, and quality assessment. The JBI Critical Appraisal Tools were used to assess the quality of the selected articles. Overall effect size and 95% confidence intervals [CIs] were calculated using a random-effects model.ResultsA total of 23 studies were considered for this review, which evaluated the accuracy of four types of national licensing examinations. The selected articles were in the fields of medicine (n = 17), pharmacy (n = 3), nursing (n = 2), and dentistry (n = 1). They reported varying accuracy levels, ranging from 36 to 77% for ChatGPT-3.5 and 64.4–100% for GPT-4. The overall effect size for the percentage of accuracy was 70.1% (95% CI, 65–74.8%), which was statistically significant (p < 0.001). Subgroup analyses revealed that GPT-4 demonstrated significantly higher accuracy in providing correct responses than its earlier version, ChatGPT-3.5. Additionally, in the context of health licensing examinations, the ChatGPT models exhibited greater proficiency in the following order: pharmacy, medicine, dentistry, and nursing. However, the lack of a broader set of questions, including open-ended and scenario-based questions, and significant heterogeneity were limitations of this meta-analysis.ConclusionsThis study sheds light on the accuracy of ChatGPT models in four national health licensing examinations across various countries and provides a practical basis and theoretical support for future research. Further studies are needed to explore their utilization in medical and health education by including a broader and more diverse range of questions, along with more advanced versions of AI chatbots.

Nursing Staff's Perspectives of Care Robots for Assisted Living Facilities: Systematic Literature Review.

Care robots have been proposed in response to nursing shortages in assisted living facilities (ALFs) and the growing population of older adults. While the use of care robots may improve the general health and well-being of older adults, their introduction changes the work of nursing staff fundamentally, and it has implications for the entire health care system. In developing such technology, it is important to include end users, but so far, the nursing staff's perspectives have largely been ignored. This study aims to examine the literature on nursing staff's attitudes, needs, and preferences related to the use of care robots in ALFs, in order to discover gaps in the literature and guide future research. This review follows the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 protocol. On May 12, 2023, we searched PubMed, CINAHL Plus with Full Text, PsycINFO, the IEEE Xplore Digital Library, and the ACM Digital Library using predetermined search terms. Included publications, written in English, focused on the predevelopment phase, in which information was gathered on nursing staff's attitudes, needs, and preferences regarding care robots for ALFs. Publications were excluded if they did not provide peer-reviewed empirical data. The studies' findings were summarized, coded, and analyzed into major themes using thematic analysis and narrative synthesis. Their quality was assessed using McGill University's Mixed Methods Appraisal Tool and the Joanna Briggs Institute's critical appraisal tools. The final sample included 15 studies. Most of the studies (n=11, 73%) were rated as good quality; however, there was a general lack of reporting on important methodological decisions and sample characteristics. Nursing staff desired care robots that could assist with physically demanding tasks and reduce their workload but had mixed feelings on whether robots could or should assist with social tasks. In addition, nursing staff are concerned about the ethics of care robots, as well as about their safety, accessibility, and operability. The nursing staff's culture, qualification, and role in the facility may influence their perspectives of care robots. The studies lacked theory-driven designs and large sample sizes. Eight (53%) studies mentioned using a participatory design approach, but a lack of established criteria for what constitutes participatory design leads to varying degrees of methodological quality. There was consensus among nursing staff that care robots should serve as nursing assistants to reduce workload. Whether robots could or should assist with social tasks remains a question. Further research is needed to mitigate nursing staff's concerns and understand the socioecological factors that influence their perspectives of care robots and their adoption in ALFs. In addition, theory-driven and large sample size study designs are necessary, as well as work to develop clear criteria for related participatory design research.

Dr. Dharmendra's Enduring Influence on Leprosy: From Laboratory to Disease Control.

A stalwart of Indian dermatology, Dr. Dharmendra was particularly known for his breakthrough research on leprosy. Spanning over several decades, his work was marked by significant contributions, including the development of Dharmendra's lepromin, which served as a critical diagnostic tool and in advancing the understanding of immunological aspects of leprosy. Born in 1900 in present-day Pakistan, his early education and work experiences set the foundation for his later achievements in leprosy research. Despite the social stigma associated with the disease at the time, Dr. Dharmendra's dedication led him to take up key roles, such as the first director of the National Leprosy Control Programme and head of the Central Leprosy Teaching and Research Institute in Chengalpattu. His work significantly impacted leprosy control efforts in India. ⁤⁤His legacy was further cemented by his leadership in founding the Indian Association of Leprologists and his tireless editorial work in the Indian Journal of Leprosy. Through his publications and ongoing research, even after retirement, he continued to influence the field. Dr. Dharmendra's life and work remain a cornerstone of leprosy research, inspiring future generations. His legacy continues to be felt in the ongoing efforts to combat leprosy.

The Role of Nurses in Delivering Bad News to the Patient and Family: An Integrated Review Study

Background: Since nurses play a central role in communicating with physicians, patients, and patients' families, special attention should be paid to their role in delivering bad news. Objective: This review aims at describing and highlighting the role of nurses in announcing bad news to patients and families. Methods: This was an integrated review. To collect data, a literature search was conducted in the Persian and English databases of Magiran, Scientific Information Base (SID), Scopus, Google Scholar, Web of Science, and PubMed. Eligibility criteria included publishing in English and Persian between January 1, 1980, and January 1, 2022, describing the role of nurses in delivering bad news to the patient and family. The preferred reporting items for systematic reviews and meta-analyses (PRISMA) were used to screen and select relevant studies. Critical appraisal tools provided by the Joanna Briggs Institute (JBI) were used for quality assessment. The collected data were analyzed, using constant comparative methods. Results: Of the 453 unique records screened, only 26 met the eligibility criteria. The results show that delivering bad news is a team process, in which nurses have several roles. Their main roles were classified into 4 categories: Manager, facilitator, educator, and supporter/advocate, and 74 subordinate roles. Conclusions: The role of nurses in delivering bad news to patients and their families is important. Their behavior and communication skills significantly affect how they receive this news. Neglecting the role of nurses in this process can damage the patient's trust and understanding of the quality of care. Therefore, nurses should be trained in delivering bad news and supporting patients and families in difficult situations.

Biopsy: The benchmark for diagnostic excellence amidst advanced technological advancements – A review

Biopsy remains a critical diagnostic tool for identifying oral lesions, vital for establishing a definitive diagnosis through the examination of both physical and microscopic tissue abnormalities. Despite technological advancements, biopsy is still the most trusted method among oral healthcare professionals, particularly when clinical, radiographic, and histopathological findings do not align. However, challenges can arise, such as inadequate tissue sampling or the need for deeper analysis. This article explores the skills and potential pitfalls in biopsy procedures, emphasizing the importance of integrating clinical and radiological information to uphold biopsy as the gold standard in diagnosis, even in today's advanced technological landscape.

Structural Analysis for Assessing the Effectiveness of Anti-Corruption Strategies on Public Trust

Anti-corruption initiatives are critical tools in the fight against unethical behavior, selling transparency and integrity in both the public and commercial sectors. This study explores the efficacy of anti-corruption techniques on public trust in organizations. Using a dataset comprising 300 employees from a legal aid center, the research assesses the impact of diverse anti-corruption measures on Public Trust Score (PTS). Data turned into collected through surveys measuring the Transparency Index (TI), Accountability Index (AI), Effectiveness of Oversight Bodies (EOB), Public Awareness Level (PAL), and Quality of Anti-Corruption Training (QACT). SPSS was employed for analysis, consisting of Structural Equation Modelling (SEM), Pearson correlation was used to assess the significance and direction of the correlation between each independent variable and the dependent variable, and Multiple Linear regressions (MLR) was used to assess the influence of numerous independent variables. Simultaneously at the dependent variable. The findings imply that more advantageous transparency, accountability, and powerful oversight significantly enhance public acceptance, while public recognition and training quality have a notable but lesser impact.

Nursing Interventions in Primary Care for the Management of Maladaptive Grief: A Scoping Review.

Grief is a natural and self-limited adaptation process to a new reality that emerges after a significant loss (whether real or perceived), with a broad variety of manifestations that exert an impact on a grieving person's health. The study aim was to synthesize the evidence available about the interventions carried out by Primary Health Care nurses, by means of an individual approach to reduce maladaptive grief or maladaptive grief risk. A scoping review was conducted (November and December 2023) through searches in Medline, Cinahl, Web of Science, ProQuest and Scopus using MeSH terms combined with Booleans. Primary research of any design in adult people undergoing grief situations and receiving professional assistance by nurses in the primary, home and community care contexts published after 2009 in English, Spanish or Portuguese languages were included. Excluded publications were those conducted in in-hospital clinical settings and which did not correspond to research designs or the gray literature. The screening process was carried out by two reviewers using the appropriate JBI critical appraisal tools for each design and discrepancies were resolved by a third reviewer. A total of n = 10 studies were included (n = 4 qualitative, n = 2 RCTs, n = 1 quasi-experimental, n = 2 cross-sectional observational, and n = 2 mixed methods). The qualitative studies identified topics and subtopics of professionals' and families' experiences of grief. The observational studies analyzed symptoms and factors associated with the grieving process. Interventions consisted of cognitive-behavioral therapies delivered by psychological specialists who assessed the severity of grief in a range of cultural contexts using different instruments. The evidence retrieved from the studies that address the reduction in maladaptive grief or maladaptive grief risk is not conclusive. There is a need to increase both the number and the methodological quality of studies assessing the effectiveness of Nursing care in Primary Health Care for individuals experiencing maladaptive grief or maladaptive grief risk. Further research should focus on experimental studies, developing specific interventions conducted by nurses to address individual's grief and prevent maladaptive grief.

FDA Warning Letter Trends: A 15-Year Analysis

The U.S. Food and Drug Administration (FDA) plays a crucial role in safeguarding public health by regulating pharmaceutical and medical device industries. Warning letters issued by the FDA serve as a critical tool for enforcing regulatory compliance and highlighting significant violations that require prompt correction. Aim: The article analyzes trends in FDA warning letters issued to pharmaceutical companies from 2005 to 2021, identifying common violations, geographic distribution of recipients, and emerging regulatory concerns. The research is driven by the critical need to understand evolving FDA enforcement priorities and persistent industry challenges. Study Design: Retrospective analysis of publicly available FDA warning letters and related literature. Methodology: We reviewed 13 studies analyzing FDA warning letters, covering a total of 1,569 warning letters issued during the study period. Data were extracted on the frequency of warning letters, types of violations, geographic distribution of recipients, and emerging trends. Quantitative and qualitative analyses were performed to identify patterns and changes over time. Results: The annual number of warning letters increased significantly from an average of 17 in the early 2000s to 304 in 2020. Quality system issues were the most common violation, accounting for 34% of all citations from 2014-2016. Data integrity breaches emerged as a major concern, rising from negligible levels pre-2014 to 24% of violations by 2016. The proportion of warning letters issued to foreign manufacturers increased from 22.9% in 2019 to 33% in 2020. COVID-19 related violations accounted for 42.1% of all warning letters in 2020. Conclusion: FDA enforcement actions have intensified over the study period, with a shift towards systemic quality issues and data integrity concerns. The globalization of pharmaceutical manufacturing has led to increased scrutiny of foreign facilities. These trends highlight the need for robust quality management systems and proactive compliance strategies in the pharmaceutical industry. By synthesizing data from various periods and studies, this paper offers a longitudinal perspective on regulatory compliance issues to prioritize areas for improvement in quality management systems.

Prevalence, trends, and distribution of hepatitis C virus among the general population in sub-Saharan Africa: A systematic review and meta-analysis.

Although the evidence is uncertain, existing estimates for hepatitis C virus (HCV) in sub-Saharan Africa (SSA) indicate a high burden. We estimated HCV seroprevalence and viraemic prevalence among the general population in SSA. We searched Medline, Embase, Web of Science, APA PsycINFO, and World Health Organization Africa Index Medicus for community-based studies. Study quality was assessed using the Joanna Briggs Institute critical appraisal tool, and heterogeneity using the index of heterogeneity (I2). Two approaches were deployed. First, we used random-effects meta-analysis to pool prevalence. Second, to derive representative estimates, we weighted each country's HCV seroprevalence using 2021 United Nations country population sizes. We synthesized 130 studies. Overall, SSA HCV seroprevalence from the random-effects model was 4.17% (95% confidence interval [CI]: 3.71-4.66, I2 = 99.30%). There were no differences between males (4.31%) and females (4.03%). Seroprevalence was 2.25%, 3.31%, and 16.23% for ages ≤20, 21-64, and ≥65 years, respectively, and was higher in rural (6.63%) versus urban (2.93%). There was indication of decrement overtime from 5.74% to 4.35% to 3.03% in the years 1984-2000, 2001-2014, and 2015-2023, respectively. The weighted overall SSA HCV seroprevalence was estimated to be 2.30% (95% CI: 1.59-3.00) with regional variation: Africa-Southern (.79%), Africa-Central (1.47%), Africa-Eastern (2.71%), and Africa-Western (2.88%). HCV viremia among HCV seropositives was 54.77% (95% CI: 47.80-61.66). HCV seroprevalence in SSA remains high. Populations aged ≥65 years, rural communities, Africa-Western, and some countries in Africa-Central and Africa-Eastern appear disproportionately affected. These results underline the need for governmental commitment to achieve the 2030 global HCV elimination targets.

Diabetes in axial spondyloarthritis: a systematic review and meta-analysis of observational studies

Axial spondyloarthritis (axSpA) is a chronic inflammatory condition with an increased risk of cardiovascular disease (CVD). Diabetes is a well-established risk factor for CVD and stroke. The objective of this study was to conduct a systematic review to: (i) identify the prevalence of diabetes in axSpA and (ii) compare the risk of diabetes in patients with axSpA and without. A comprehensive literature search was performed for articles published between 1 January 2000 and 15 November 2023 using Medline, Embase and Scopus (PROSPERO: CRD42023482573). Observational studies reporting prevalence, incidence or risk of diabetes in axSpA were included. Search results were independently screened by at least two reviewers. Quality of included studies were assessed using the JBI critical appraisal tool. Study-specific proportions and odds ratios (OR) were combined in a random-effects meta-analysis. 2257 articles were identified from database searching from which 23 studies were included for analysis amounting to a combined sample size of 65 025 patients. The pooled prevalence of diabetes in people with axSpA was 7.0% (95% CI 5.9–8.0%; predictive interval 2.4–12.9%; p < 0.001). The funnel plot was symmetric suggesting no small-study effects (I2 = 98.1% (95% CI 0.05–0.08), τ2 = 0.02; p < 0.001). Comparing patients with axSpA to those without, the pooled OR was 1.29 (95% CI 1.10–1.52; predictive interval 0.76–2.22; p = 0.001) for diabetes. The study suggests an increased prevalence and probably an increased risk of diabetes in people with axSpA. Routine screening for diabetes and lifestyle modifications should be encouraged in this cohort.

Exploring meta-heuristics for partitional clustering: methods, metrics, datasets, and challenges

Partitional clustering is a type of clustering that can organize the data into non-overlapping groups or clusters. This technique has diverse applications across the different various domains like image processing, pattern recognition, data mining, rule-based systems, customer segmentation, image segmentation, and anomaly detection, etc. Hence, this survey aims to identify the key concepts and approaches in partitional clustering. Further, it also highlights its widespread applicability including major advantages and challenges. Partitional clustering faces challenges like selecting the optimal number of clusters, local optima, sensitivity to initial centroids, etc. Therefore, this survey describes the clustering problems as partitional clustering, dynamic clustering, automatic clustering, and fuzzy clustering. The objective of this survey is to identify the meta-heuristic algorithms for the aforementioned clustering. Further, the meta-heuristic algorithms are also categorised into simple meta-heuristic algorithms, improved meta-heuristic algorithms, and hybrid meta-heuristic algorithms. Hence, this work also focuses on the adoption of new meta-heuristic algorithms, improving existing methods and novel techniques that enhance clustering performance and robustness, making partitional clustering a critical tool for data analysis and machine learning. This survey also highlights the different objective functions and benchmark datasets adopted for measuring the effectiveness of clustering algorithms. Before the literature survey, several research questions are formulated to ensure the effectiveness and efficiency of the survey such as what are the various meta-heuristic techniques available for clustering problems? How to handle automatic data clustering? What are the main reasons for hybridizing clustering algorithms? The survey identifies shortcomings associated with existing algorithms and clustering problems and highlights the active area of research in the clustering field to overcome these limitations and improve performance.

Campylobacter spp. in men who have sex with men: A systematic review.

Campylobacter spp. has been reported to be a sexually transmissible enteric infection in men who have sex with men (MSM) since the 1980s causing an acute severe diarrhoeal illness and rarely an acute demyelinating polyneuropathy (Guillain-Barré syndrome). The aim of this review was to explore the factors seen in MSM with Campylobacter spp. We conducted a systematic review following PRISMA guidelines by searching 7 bibliographical databases in August 2024 for manuscripts in English. Initial screening was conducted by a primary author and then two authors conducted independent full-text reviews to determine the final eligible manuscripts. We only included manuscripts which explored factors seen in MSM with Campylobacter spp.. Two authors independently used the Joanna Briggs Institute critical appraisal tools to assess risk for bias. This review was registered with PROSPERO (CRD42023464803). 25 manuscripts met the inclusion criteria that included 265 MSM with Campylobacter spp.. This review has highlighted demographic factors (living with HIV, living in urban MSM districts, HIV negative MSM using HIV-PrEP), biological factors (antimicrobial resistant Campylobacter spp., having a concurrent or previous sexually transmitted infection [Neisseria gonorrhoeae, Chlamydia trachomatis, Herpes simplex virus, Hepatitis C, Mpox] current/previous enteric infection including non-pathogenic parasites [Shigella spp., Giardia duodenalis, Cryptosporidium, Entamoeba histolytica, Salmonella spp., Entamoeba hartmanii, Entamoeba coli, Endolimax nana, Iodamoeba butchlii]) and behavioural factors (condomless receptive anal sex, oral-anal sex, oral genital sex, multiple/new sexual partners, using sex on premises venues and the internet to meet sexual partners) seen in MSM with Campylobacter spp. This review has highlighted some important demographic, biological and behavioural risk factors seen in MSM with Campylobacter spp.. These data can be used to inform future public health interventions and clinical guidelines.

Evidence based management of medical devices: A follow-up experiment

Ensuring the optimal operation and longevity of medical devices is essential for maintaining high safety standards in healthcare. This study presents a significant advancement in the field by enhancing an existing evidence-based maintenance (EBM) framework, which is crucial for the effective management of medical equipment. Building upon previous methodologies, this research introduces a novel, comprehensive taxonomy for categorizing maintenance reports by revising and updating existing failure codes. This refinement addresses gaps in previous models, enabling more precise and effective maintenance strategies.A key innovation of this study is the development of a standard XML protocol, which addresses the current lack of standardization in the field, providing a consistent and unified approach to data management. This standardization is critical for improving communication and data exchange across different healthcare systems and technologies.To validate the enhanced EBM framework, the study applies it to corrective maintenance work orders related to Digital Angiography Systems, Magnetic Resonance Imaging, and Computed Tomography, using data from the Pisa University Hospital’s Computerized Maintenance Management System from 2021 to 2022. This validation demonstrates the reproducibility and adaptability of the framework across different medical equipment, healthcare contexts, and timeframes.The findings represent a significant advancement in healthcare technology management, offering a robust, standardized approach that optimizes the safety, functionality, and longevity of medical devices. This research not only expands maintenance standards in the healthcare sector but also provides a critical tool for addressing the current challenges in medical device maintenance, paving the way for more reliable and effective healthcare technologies.

Bayesian inference for Laplace distribution based on complete and censored samples with illustrations

In this paper, Bayesian estimates are derived for the location and scale parameters of the Laplace distribution based on complete, Type-I, and Type-II censored samples under different prior settings. Subsequently, Bayesian point and interval estimates, as well as the associated statistical inference, are discussed in detail. The developed methods are then applied to two real data sets for illustrative purposes. Moreover, a detailed Monte Carlo simulation study is carried out for evaluating the performance of the inferential methods developed here. Finally, we provide a brief discussion of the established results to demonstrate their practical utility and present some associated problems of further interest. Overall, this study fills an existing gap in the development of Bayesian inferential techniques for the parameters of the two-parameter Laplace distribution, making this research innovative and offering more investigative implications. It showcases the potential for broader methodological applications of Bayesian inference for complex real-world data sets, especially in scenarios involving different forms of censoring. This research provides a critical tool for statistical analysis in different fields such as engineering and finance, where the Laplace distribution is frequently adopted as a fundamental model.

Paradoxical Reaction to Tuberculosis Therapy among HIV-Negative Children: A Systematic Review and Meta-Analysis.

Tuberculosis treatment is sometimes associated with clinical deterioration, referred to as paradoxical reaction (PR), especially in those with HIV coinfection. However, the burden and characteristics of PR in children without HIV coinfection are unclear. We undertook a systematic review to estimate the burden and clinical characteristics of PR in HIV-negative children. We searched PubMed, Embase, Web of Science, CINAHL, Scopus, Cochrane Library, ProQuest, and OpenGrey for studies reporting PR in HIV-negative children (<18 years old). We included observational studies including case series with at least five cases. Data on incidence/prevalence, clinical features, risk factors, management strategies, and outcome of PR were extracted. Risk of bias in the included studies was assessed using the NIH's quality assessment and Joanna Briggs Institute critical appraisal tools. We pooled the prevalence data using random effects meta-analysis. We identified 1,673 studies, of which 10 were eligible for inclusion. They described PR in 133 HIV-negative children. The pooled prevalence was 8.8% (95% CI: 2.9%, 14.6%). Owing to heterogeneity among studies, risk factors for the development of PR could not be identified. Limited data suggested that children developing PR were younger and had neurological or lymph node tuberculosis more often. Most children were treated with corticosteroids, but data were insufficient to identify the optimal management strategy. The review showed that PR affects nearly 1 in 12 HIV-negative children receiving tuberculosis treatment. The paucity of studies emphasizes the need for surveillance/studies to better characterize clinical features, risk factors, appropriate management strategies, and outcome.