Search Strategy Research Articles

A Scoping Review of Existing Policy Instruments to Tackle Overweight and Obesity in India: Recommendations for a Social and Behaviour Change Communication Strategy

Background The Indian government is committed to addressing various manifestations of malnutrition, including overweight and obesity, inorder to improve individual health and well-being. The scoping review aims to map existing national policy instruments (programmes, schemes, regulations and guidelines) addressing overweight and obesity in India and analysing them for Social and Behaviour Change Communication (SBCC) strategies. Methods Systematic identification and selection of policy instruments using ‘Arksey and O’Malley’ framework was conducted from central government ministry websites, between March and June 2023. These instruments focused on nutrition and/or physical activity, targeting specific demographic groups like pregnant women, lactating mothers, children (0-5 years and 5-9 years), or adolescents (10-19 years); excluding those focusing on specific diseases like micronutrient deficiencies, wasting, and stunting. Based on search strategy six policy instruments were included and analysed for SBCC strategies. Results While many policy instruments incorporated SBCC plans; the ‘National Programme for Prevention of Non-Communicable Diseases (NP-NCD)’ stands out as a significant policy initiative specifically targeting the prevention of overweight and obesity within the broader context of Non-Communicable Diseases. It adopts a comprehensive approach addressing key drivers contributing to overweight/obesity across multiple levels of behavioural influence i.e., individual, interpersonal, community and organisation for health promotion. However, there’s need to strengthen SBCC strategies related to prevention and management of obesity, especially screening and counselling, to cover all age groups with a particular focus on adolescents and youth. SBCC strategies can also be incorporated into India’s Integrated Nutrition Support Programme (POSHAN 2.0) and/or Reproductive, Maternal, New-born, Child, Adolescent Health and Nutrition (RMNCAH+N) under the National Health Mission. Conclusion This paper underscores the necessity for comprehensive strategies to address multifaceted origins of overweight and obesity. The NP-NCD stands out as a noteworthy initiative, and there is considerable potential for other programmes to emulate SBCC strategies to bolster their overall effectiveness. Note : *Policy instruments throughout the paper have been used to cover programmes, schemes, regulations and guidelines.

Precision and Sensitivity

The adequacy of the literature search is one of the critical domains that affect the quality of the systematic review. The aim of a literature search in the systematic review should be to obtain thorough, comprehensive, transparent, and reproducible results. Precision (also called “positive predictive value”) and sensitivity (also called “recall”) have been postulated as 2 markers for rating the quality of literature search in systematic reviews. The reporting of such measures shall help in improving the relevance, transparency, reproducibility, and comprehensibility of the search. A search strategy that maximizes sensitivity with reasonable precision shall improve the quality of the review.

A special focus on polyadenylation and alternative polyadenylation in neurodegenerative diseases: A systematic review

AbstractNeurodegenerative diseases (NDDs) are one of the prevailing conditions characterized by progressive neuronal loss. Polyadenylation (PA) and alternative polyadenylation (APA) are the two main post‐transcriptional events that regulate neuronal gene expression and protein production. This systematic review analyzed the available literature on the role of PA and APA in NDDs, with an emphasis on their contributions to disease development. A comprehensive literature search was performed using the PubMed, Scopus, Cochrane, Google Scholar, Embase, Web of Science, and ProQuest databases. The search strategy was developed based on the framework introduced by Arksey and O'Malley and supplemented by the inclusion and exclusion criteria. The study selection was performed by two independent reviewers. Extraction and data organization were performed in accordance with the predefined variables. Subsequently, quantitative and qualitative analyses were performed. Forty‐seven studies were included, related to a variety of NDDs, namely Alzheimer's disease, Parkinson's disease, Huntington's disease, and amyotrophic lateral sclerosis. Disease induction was performed using different models, including human tissues, animal models, and cultured cells. Most investigations were related to PA, although some were related to APA or both. Amyloid precursor protein (APP), Tau, SNCA, and STMN2 were the major genes identified; most of the altered PA patterns were related to mRNA stability and translation efficiency. This review particularly underscores the key roles of PA and APA in the pathogenesis of NDDs through their mechanisms that contribute to gene expression dysregulation, protein aggregation, and neuronal dysfunction. Insights into these mechanisms may lead to new therapeutic strategies focused on the modulation of PA and APA activities. Further research is required to investigate the translational potential of targeting these pathways for NDD treatment. image

Factors Influencing Domestic Human Trafficking in Africa: Protocol for a Scoping Review

Background Human trafficking is a human rights violation in every region of the world. The African continent is not spared. Every year, millions of people experience significant health and social consequences. International organizations and governments combating human trafficking are hindered by a lack of knowledge about what factors influence domestic (within-country) human trafficking. Objective This study aims to conduct a scoping review to collate and synthesize literature on factors influencing domestic trafficking in Africa. Methods We will follow Arksey and O’Malley’s framework to answer the question about reported influences on domestic human trafficking and their relative weight. The search strategy will explore PubMed, CINAHL, Web of Science, and Scopus. A total of 2 independent researchers will select quantitative, qualitative, or mixed methods studies that examine relationships influencing domestic human trafficking. We will document our results by following the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) guidelines. We will extract a list of all reported relationships between identified factors influencing domestic human trafficking in each study. Based on a discourse analysis approach, we will weigh the strengths of the relationships based on how frequently they are reported across the included studies. We will summarize the findings as fuzzy cognitive maps depicting the relationships reported in the literature. The maps represent the influences between concepts (nodes) linked by arrows (edges) going from each cause to its outcomes. These maps are helpful visual summaries of the factors associated with domestic human trafficking, allowing a comparison with maps to be created by stakeholder groups. Results This project received financial support in March 2023. We expect to start the project in March 2024. We recruited 2 research staff members to conduct the scoping review and expect to publish the results in March 2025. Conclusions The review will provide a comprehensive understanding of factors influencing domestic human trafficking in Africa. The overlap of human trafficking with other forms of exploitation, the limited literature on domestic human trafficking, and the likely diversity of factors are challenges for the review. We propose strategies to address these challenges. International Registered Report Identifier (IRRID) PRR1-10.2196/56392

Minimizing the profligacy of searches with reset

We introduce the profligacy of a search process as a competition between its expected cost and the probability of finding the target. The arbiter of the competition is a parameter λ that represents how much a searcher invests into increasing the chance of success. Minimizing the profligacy with respect to the search strategy specifies the optimal search. We show that in the case of diffusion with stochastic resetting, the amount of resetting in the optimal strategy has a highly nontrivial dependence on model parameters resulting in classical continuous transitions, discontinuous transitions and tricritical points, as well as nonstandard discontinuous transitions exhibiting reentrant behavior and overhangs. Published by the American Physical Society 2024

Identifying the gap in assessing activities of daily living in resource-constrained rural settings: An integrative review of existing frameworks and instruments

Introduction: The non-availability of indoor piped water and electricity results in alternate forms of personal care and domestic tasks in resource-constrained rural settings. This article examines the applicability of existing measures for the contextual assessment of basic and instrumental Activities of Daily Living (bADLs and iADLs) in these settings. Method: An integrative review guided by the approach of Lubbe et al (2020) was conducted. Structured database searches of CINAHL, Scopus and Sabinet identified published articles which were subjected to eligibility criteria. Microsoft Excel was used to synthesize data. Results: The search strategy yielded 591 articles that met the inclusion criteria, from which 187 ADL instruments were identified. Three instruments suited to resource-constrained rural settings were identified. Conclusion: Occupational therapists should consider that existing ADL frameworks and instruments appear silent on the impact of limited access to household amenities in resource-constrained settings. This constitutes epistemic injustice as many rural households globally do not have potable water or adequate household energy supply. Global South occupational therapy curricula must include contextually relevant ADL frameworks and development of contextually relevant instruments should be prioritised. Implications for Practice The findings suggest that existing ADL instruments have limitations when utilised in the Global South, particularly in resource-constrained rural settings. As such, occupational therapists practicing in such settings need to interpret instrument scores with caution and apply contextual clinical reasoning in the best interests of service users. Furthermore, training institutions in the Global South must ensure that the limitations of existing ADL frameworks, models and instruments are made overt within curricula and that research efforts are directed towards the development of contextually relevant ADL instruments.

PID control algorithm based on multistrategy enhanced dung beetle optimizer and back propagation neural network for DC motor control.

Traditional Proportional-Integral-Derivative (PID) control systems often encounter challenges related to nonlinearity and time-variability. Original dung beetle optimizer (DBO) offers fast convergence and strong local exploitation capabilities. However, they are limited by poor exploration capabilities, imbalance between exploration and exploitation phases, and insufficient precision in global search. This paper proposes a novel adaptive PID control algorithm based on enhanced dung beetle optimizer (EDBO) and back propagation neural network (BPNN). Firstly, the diversity of exploration is increased by incorporating a merit-oriented mechanism into the rolling behavior. Then, a sine learning factor is introduced to balance the global exploration and local exploitation capabilities. Additionally, a dynamic spiral search strategy and adaptive [Formula: see text]-distribution disturbance are presented to enhance search precision and global search capability. The BPNN is employed to fine-tune both PID and network parameters, leveraging its powerful generalization and learning ability to model nonlinear system dynamics. In the simplified motor experiments, the proposed controller achieved the lowest overshoot (0.5%) and the shortest response time (0.012s), with a settling time of 0.02s and a steady-state error of just 0.0010. In another set of experiments, the proposed controller recorded an overshoot and response time of 0.7% and 0.0010s, across five DC motor tests. These results demonstrate the proposed adaptive PID control algorithm has superior performance in optimizing control system parameters, as well as improving system robustness and stability.

Fast parameter optimization for high-fidelity crystal plasticity simulation using active learning

Crystal plasticity (CP) simulation is a powerful tool for studying and understanding the mechanical behavior of materials. A critical aspect of this method is the accurate determination of CP parameters, which ensures that the constitutive model accurately represents the real deformation behavior of a material, especially in high-fidelity simulations. However, identifying these parameters poses a significant challenge due to the high computational cost and the difficulty of finding optimal solutions within a vast and complex parameter space. To address these challenges, we propose a fast search strategy that leverages active learning (AL) and experimental data to accelerate the optimization of CP parameters. Using the Al-Cu eutectic materials as a case study, we introduced a quantitative index, C ecp, to measure the consistency between simulated and experimental stress-strain curves. We demonstrated that Gaussian process regression (GPR) serves as the most appropriate surrogate model for relating CP parameters and C ecp based on our dataset. After only six iterations guided by AL, the optimal CP parameters were successfully identified, resulting in a high-fidelity CP model for analyzing the mechanical behavior of Al-Cu eutectic materials. The machine learning-enhanced strategy is far superior to traditional methods in terms of both efficiency and accuracy. It advances our understanding of the macro-micro relationships of materials and accelerates the material design process.

A hybrid metaheuristic algorithm for antimicrobial peptide toxicity prediction.

The development of new algorithms can aid researchers and professionals in resolving problems that were once unsolvable or discovering superior solutions to problems that were already settled. By recognizing the importance of continuous research on creating novel algorithms, this paper introduced a hybrid metaheuristic algorithm-h-PSOGNDO, which is a combination of Particle Swarm Optimization (PSO) and Generalized Normal Distribution Optimization (GNDO). The proposed algorithm utilizes the Particle Swarm Optimization's strategy for exploitation and the Generalized Normal Distribution Optimization's global search strategy for exploration. Through this combination, h-PSOGNDO is believed to be an effective algorithm that can promote the advantages of its parents' algorithms. Different assessment methods are used to assess the proposed novel algorithm. First, the h-PSOGNDO is set to conduct experiments on two sets of mathematical functions, including twenty-eight IEEE CEC2017 and ten IEEE CEC2019 benchmark test functions, respectively. Then, the h-PSOGNDO algorithm is applied to a case study on the prediction of antimicrobial peptides' toxicity to evaluate its performance on real-life problems. The statistical findings collected from both the test function sets and the case study show that the h-PSOGNDO algorithm works effectively, proving its astonishing ability to yield highly competitive outcomes for complex problems.

COVID-19 and the risk and trajectory of frailty in community- or institution-dwelling individuals: Protocol for systematic review and meta-analysis.

The purpose of this paper is to describe a protocol for a systematic review (SR) and meta-analysis examining the associations between an episode of COVID-19 and trajectory as well as the risk of frailty. The protocol for this SR has been registered in the PROSPERO database (CRD42023468297) and conforms to the guidelines proposed by the Preferred Reporting Items for Systematic Reviews (PRISMA). The search strategy will involve retrieving literature from six different databases and will be guided by keywords encompassing population (community-dwelling or institution-dwelling adults), exposure (episode of COVID-19), and outcome (frailty). The citations retrieved from the search process will be screened for their eligibility. The risk of bias for the articles identified to be eligible for the review will be examined using the Quality In Prognosis Studies (QUIPS) tool. The Metafor package in R will be used for quantitative data synthesis of the literature. Grading of Recommendations Assessment, Development and Evaluation (GRADE) will be used to assess the quality and certainty of the body of evidence. This systematic review will provide crucial information to determine whether an episode of COVID-19 is associated with an increased risk of frailty. The results of this review will have significant clinical implications in mitigating the risk of frailty after COVID-19.

Progress of Implementation of World Health Organization Global Antimicrobial Resistance Surveillance System Recommendations on Priority Pathogen-Antibiotic Sensitivity Testing in Africa: Protocol for a Scoping Review.

Antimicrobial resistance (AMR) is a major global public health concern, particularly in low- and middle-income countries where resources and infrastructure for an adequate response are limited. The World Health Organization (WHO) Global Antimicrobial Resistance Surveillance System (GLASS) was introduced in 2016 to address these challenges, outlining recommendations for priority pathogen-antibiotic combinations. Despite this initiative, implementation in Africa remains understudied. This scoping review aims to assess the current state of implementing WHO GLASS recommendations on antimicrobial sensitivity testing (AST) in Africa. The primary objective of this study is to determine the current state of implementing the WHO GLASS recommendations on AST for priority pathogen-antimicrobial combinations. The review will further document if the reporting of AST results is according to "susceptible," "intermediate," and "resistant" recommendations according to GLASS. Following the methodological framework by Arksey and O'Malley, studies published between January 2016 and November 2023 will be included. Search strategies will target electronic databases, including MEDLINE, Scopus, CINAHL, and Embase. Eligible studies will document isolates tested for antimicrobial sensitivity, focusing on WHO-priority specimens and pathogens. Data extraction will focus on key study characteristics, study context, population, and adherence to WHO GLASS recommendations on AST. Descriptive statistics involving summarizing the quantitative data extracted through measures of central tendency and variation will be used. Covidence and Microsoft Excel software will be used. This study will systematically identify, collate, and analyze relevant studies and data sources based on clear inclusion criteria to provide a clear picture of the progress achieved in the implementation of the WHO GLASS recommendations. Areas for further improvement will be documented to inform future efforts to strengthen GLASS implementation for enhanced AMR surveillance in Africa. The study results are expected in August 2024. To our knowledge, this scoping review will be the first to comprehensively examine the implementation of WHO GLASS recommendations in Africa, shedding light on the challenges and successes of AMR surveillance in the region. Addressing these issues aims to contribute to global efforts to combat AMR. PRR1-10.2196/58140.

Development of an Antiviral Medicinal Plant and Natural Product Database (avMpNp Database) from Biodiversity.

The construction of compound databases (DB) is a strategy for the rational search of bioactive compounds and drugs for new and old diseases. In order to bring greater impact to drug discovery, we propose the development of a DB of bioactive antiviral compounds. Several research groups have presented evidence of the antiviral activity of medicinal plants and compounds isolated from these plants. We believe that compiling these discoveries in a DB would benefit the scientific research community and increase the speed to discover new potential drugs and medicines. Thus, we present the Antiviral Medicinal Plant and Natural Product DB (avMpNp DB) as an important source for acquiring, organizing, and distributing knowledge related to natural products and antiviral drug discovery. The avMpNp DB contains a series of chemically diverse compounds with drug-like profiles. To test the potential of this DB, SARS-CoV-2 Mpro and PLpro enzymatic inhibition assays were performed for available compounds resulting in IC50 values ranging from 6.308±0.296 to 15.795±0.155 μM. As a perspective, artificial intelligence tools will be added to implement computational predictions, as well as other chemical functionalities that allow data validation.

Impact of gestational diabetes mellitus on women's sexual function: a systematic review and meta-analysis.

Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication with well-established adverse effects on maternal and fetal health. However, research on its impact on sexual health is inconsistent. Currently, there is no comprehensive review on sexual function in pregnant women with GDM. The purpose of this study is to systematically gather and synthesize the available evidence, addressing this important research gap. This systematic review and meta-analysis utilized a comprehensive literature search strategy and incorporated the following databases: the Cochrane Library, Scopus, PubMed, Web of Science, SID, and Google Scholar. The search was conducted until February 21, 2024. The quality of the cross-sectional and case‒control studies included in the current study was evaluated via the modified and standard Newcastle‒Ottawa scale. The certainty of the evidence was evaluated via the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) framework. A meta-regression was conducted to examine the variables that influence total sexual function. Additionally, sequential analysis was performed to determine the required information size for the meta-analysis. The systematic search process yielded a total of 370 studies. The final analysis included six studies. The meta-analysis findings revealed that compared with controls, women with GDM had significantly lower total scores for sexual function (SMD - 1.80, 95% CI -3.44 to -0.15, p = 0.03), sexual desire (SMD - 5.14, 95% CI -8.14 to -2.14, p < 0.001), arousal (SMD - 0.58, 95% CI -0.95 to -0.21, p = 0.002), lubrication (MD -0.41, 95% CI -0.59 to -0.22, p < 0.001) and satisfaction (SMD - 3.82, 95% CI -6.08 to -1.57, p < 0.001). However, the analysis did not reveal statistically significant differences in sexual pain, or orgasm between the GDM and control groups. The meta-regression analysis revealed that older age in the control group was associated with poorer sexual function. Compared with control women, pregnant women diagnosed with GDM have lower sexual function. Further research with larger sample sizes is necessary to enhance the robustness of the evidence, given the low level of certainty. Healthcare providers should focus on the sexual well-being of women with GDM and create tailored interventions to address their specific needs.

Research on Microgrid Optimal Scheduling Based on an Improved Honey Badger Algorithm

As global energy demands continue to grow and environmental protection pressures increase, microgrids have garnered widespread attention due to their ability to effectively integrate distributed energy sources, improve energy utilization efficiency, and enhance grid stability. Due to the complexity of internal structure, variety of energy sources, and uncertainty of load demand, the optimal scheduling problem of microgrids becomes extremely complicated. Traditional optimization methods often perform poorly in complex and dynamic microgrid environments, and it is assumed that the complexity is low or that more simplification is needed, which leads to poor convergence and local optimality when dealing with uncertainty and nonlinear problems, making intelligent optimization algorithms a crucial solution to this problem. To address the shortcomings of the traditional honey badger algorithm, such as the slow convergence speed and a tendency to fall into local optima in complex microgrid optimal scheduling problems, this paper proposes a multi-strategy improved honey badger algorithm. During the population initialization phase, a combined opposition-based learning strategy is introduced to enhance the algorithm’s exploration and exploitation capabilities. Additionally, the introduction of variable spiral factors and a linearly decreasing strategy for parameters improves the overall efficiency of the algorithm and reduces the risk of local optima. To further enhance population diversity, a hunger search strategy is employed, providing stronger adaptability and global search capabilities in varying environments. The improved honey badger algorithm is then applied to solve the multi-objective optimal scheduling problem in grid-connected microgrid modes. The simulation results indicate that the improved honey badger algorithm effectively enhances the economic and environmental benefits of microgrid operations, improving system operational stability.

Visual Modeling Languages in Patient Pathways: Scoping Review.

Patient pathways (PPs) are presented as a panacea solution to enhance health system functions. It is a complex concept that needs to be described and communicated well. Modeling plays a crucial role in promoting communication, fostering a shared understanding, and streamlining processes. Only a few existing systematic reviews have focused on modeling methods and standardized modeling languages. There remains a gap in consolidated knowledge regarding the use of diverse visual modeling languages. This scoping review aimed to compile visual modeling languages used to represent PPs, including the justifications and the context in which a modeling language was adopted, adapted, combined, or developed. After initial experimentation with the keywords used to describe the concepts of PPs and visual modeling languages, we developed a search strategy that was further refined and customized to the major databases identified as topically relevant. In addition, we consulted gray literature and conducted hand searches of the referenced articles. Two reviewers independently screened the articles in 2 stages using preset inclusion criteria, and a third reviewer voted on the discordance. Data charting was done using an iteratively developed form in the Covidence software. Descriptive and thematic summaries were presented following rounds of discussion to produce the final report. Of 1838 articles retrieved after deduplication, 22 satisfied our inclusion criteria. Clinical pathway is the most used phrase to represent the PP concept, and most papers discussed the concept without providing their operational definition. We categorized the visual modeling languages into five categories: (1) general purpose-modeling language (GPML) adopted without major extension or modification, (2) GPML used with formal extension recommendations, (3) combination of 2 or more modeling languages, (4) a developed domain-specific modeling language (DSML), and (5) ontological modeling languages. The justifications for adopting, adapting, combining, and developing visual modeling languages varied accordingly and ranged from versatility, expressiveness, tool support, and extensibility of a language to domain needs, integration, and simplification. Various visual modeling languages were used in PP modeling, each with varying levels of abstraction and granularity. The categorization we made could aid in a better understanding of the complex combination of PP and modeling languages. Standardized GPMLs were used with or without any modifications. The rationale to propose any modification to GPMLs evolved as more evidence was presented following requirement analyses to support domain constructs. DSMLs are infrequently used due to their resource-intensive development, often initiated at a project level. The justifications provided and the context where DSMLs were created are paramount. Future studies should assess the merits and demerits of using a visual modeling language to facilitate PP communications among stakeholders and use evaluation frameworks to identify, modify, or develop them, depending on the scope and goal of the modeling need.

Erector spinae plane block for cancer pain relief: a systematic review.

Despite advances in pain management, cancer-related pain remains a critical issue for many patients. In recent years, there has been a growing interest in the use of fascial plane blocks, such as the Erector Spinae Plane Block (ESPB), for managing chronic pain, including in the oncology field. We conducted a systematic review to synthetize existing evidence on the use of ESPB for cancer pain management. We selected studies published between January 2016 to April 2024. A systematic search in Pubmed and Embase databases was performed. The search strategy included the following keywords and/or MeSH terms according to the controlled vocabulary of the databases sought: ((erector spinae plane block) OR (ESP block) OR (ESPB) AND ((cancer pain). We considered eligible Randomized, nonrandomized studies, case series and case reports reporting data on the use of ESPB in patients with cancer pain. The search revealed 34 studies. Among these, we found one RCT, three retrospective studies, two case series, and 28 case reports for a total of 135 patients. Studies included described the use of ESPB for the management of various types of cancer pain across different conditions, including chronic thoracic cancer-related pain, abdominal visceral pain and pain related to bone metastases. Single-shot ESPB was performed in 26 studies while continuous ESPB and the use of a peripheral nerve catheter for continuous analgesia were described in 8 studies. Neurolytic ESPB was performed in 6 studies for a total of 10 patients There was a high clinical heterogeneity in terms of technique, drugs, and use of adjuvants. The lack of comparators was a major flaw, together with the low level of evidence in the majority of the included studies. The evidence supporting the use of ESPB for cancer pain management is currently scarce, heterogeneous, and of low quality. To better understand its potential and provide robust clinical guidance, future research needs to focus on rigorous comparative studies, standardization of techniques and larger sample sizes.

Measurement of climate change-related food (in)security and food sovereignty in Canada’s northern communities and the circumpolar region: a scoping review protocol

IntroductionClimate change impacts the circumpolar region (including northern Canada) at a greater magnitude than other parts of the world. This affects food (in)security as well as food sovereignty. This scoping...

Safety and Efficacy of opioid-sparing Anesthesia Compared with Traditional opioid-anesthesia

Objectives: The rationale of adoption opioid sparing anesthesia (OSA) is to achieve perioperative analgesia with a minimal amount of opioid combined to non-opioid adjuvants during and after surgery, namely multimodal anesthesia. The OSA approach was originally developed to overcome the known complications of opioid-based anesthesia (OA) and the present scoping review (ScR) aims at providing the clinical evidence of safety and efficacy of OSA with respect to OA. Methods: This ScR is mainly focused on studies presenting evidence on the safety and efficacy of OSA versus OA. PubMed, EMBASE databases were utilized to find relevant studies. Search strategy included the following keywords: “opioid sparing anesthesia complications, opioid sparing anesthesia efficacy, opioid sparing anesthesia safety”. The findings from the 25 included studies were categorized into the following subsections: article characteristics, goals of the studies, OSA protocols, and surgical settings analyzed. Results: In the 25 reviewed studies, evidence related to the impact of OSA versus OA was considered. Intraoperative safety and efficacy endpoints include hemodynamic stability and anesthetic/analgesic requirements. Postoperative endpoints include early cognitive dysfunction, opioid-induced bowel disorder, the physical status of mothers and newborns after labor and emergency cesarean, systemic immune and inflammation modifications, postoperative recovery, in-hospital and long-term opioid requirement, early postoperative pain, chronic postsurgical pain. The studies reported a lower intraoperative mean arterial pressure and heart rate fluctuations when α2 agonists are adopted, while no differences were recorded for other complication rates. Analysis of OSA approaches for the postoperative conditions includes α2 agonists, NMDA receptor blocking agents, gabapentinoids, nefopam hydrocloride and locoregional anesthesia techniques with a positive impact on most of the endpoints considered. Discussion: The clinical implementation of OSA encompasses the perioperative use of non-opioid drugs and locoregional anesthesia techniques. The reviewed studies reported OSA as a feasible approach to reduce opioid-related complications with no impact on patient’s safety.

Septic shock in the prehospital setting: a scoping review.

Septic shock (SS) is a potential life-threatening condition in which an early identification and immediate therapy stand out as the main cornerstones to improve survival chance; in this context, emergency medical services (EMS) become key to reduce the time between diagnosis and management in the ICU or emergency department. However, guidelines for the prehospital management of SS patients remains unclear, and literature around this topic is scant. Our scoping review was conducted following the PICO framework and a search strategy related to septic shock management and diagnosis in prehospital settings was executed in PubMed, Scopus and Virtual Health Library; articles in English and Spanish from 2015, onwards, were screened by the authors and selected by mutual consensus. Our aim is to analyze the prehospital management strategies of SS reported in the literature, and to showcase and summarize the screening tools, demographic factors, clinical manifestations and prognostic factors of SS in the prehospital setting.

Evaluation of the measurement properties of intimate partner violence screening instruments for the general population: A COSMIN-based international systematic review.

To systematically appraise, compare, and summarize the measurement properties of intimate partner violence screening instruments for the general population and provide recommendations. We searched PubMed, Embase, Web of Science, ProQuest Dissertations & Theses Global and EBSCO Psychology Behavioral Sciences Collection from their establishment to March 2024 using systematic search strategies. The methodological quality of the instruments that met the inclusion criteria and their measurement properties were assessed using the COSMIN methodology, and the COSMIN recommendations were followed. We reported this study using PRISMA 2020 checklist. A total of 23 studies were eventually included, and 18 instruments were identified. The evaluation of the methodological quality indicates poor content validity but good structural validity; however, that of the criterion validity in most of the studies was inadequate. Measurement error and responsiveness were not assessed. Four screening instruments could be used in the interim. The remaining 14 instruments were not recommended for use. The overall methodological quality of most of the assessed instruments was insufficient. A rigorous intimate partner violence screening instrument with good measurement properties is urgently required to identify and screen for intimate partner violence in the general population. CRD42022365247.