Meeting a need: development and validation of PubMed search filters for immigrant populations.

Objective: There is a need for additional comprehensive and validated filters to find relevant references more efficiently in the growing body of research on immigrant populations. Our goal was to create reliable search filters that direct librarians and researchers to pertinent studies indexed in PubMed about health topics specific to immigrant populations. Methods: We applied a systematic and multi-step process that combined information from expert input, authoritative sources, automation, and manual review of sources. We established a focused scope and eligibility criteria, which we used to create the development and validation sets. We formed a term ranking system that resulted in the creation of two filters: an immigrant-specific and an immigrant-sensitive search filter. Results: When tested against the validation set, the specific filter sensitivity was 88.09%, specificity 97.26%, precision 97.88%, and the NNR 1.02. The sensitive filter sensitivity was 97.76%when tested against the development set. The sensitive filter had a sensitivity of 97.14%, specificity of 82.05%, precision of 88.59%, accuracy of 90.94%, and NNR [See Table 1] of 1.13 when tested against the validation set. Conclusion: We accomplished our goal of developing PubMed search filters to help researchers retrieve studies about immigrants. The specific and sensitive PubMed search filters give information professionals and researchers options to maximize the specificity and precision or increase the sensitivity of their search for relevant studies in PubMed. Both search filters generated strong performance measurements and can be used as-is, to capture a subset of immigrant-related literature, or adapted and revised to fit the unique research needs of specific project teams (e.g. remove US-centric language, add location-specific terminology, or expand the search strategy to include terms for the topic/s being investigated in the immigrant population identified by the filter). There is also a potential for teams to employ the search filter development process described here for their own topics and use.

Large-scale systematic review support for guideline development in diabetes precision medicine.

Background: Involving librarians as team members can lead to better quality in reviews. To improve their search results, an international diabetes project involved two medical librarians in a large-scale project planning of a series of systematic reviews for clinical guidelines in diabetes precision medicine. Case Presentation: The precision diabetes project was divided into teams. Four diabetes mellitus types (type 1, type 2, gestational, and monogenic) were divided into teams focusing on diagnostics, prevention, treatment, or prognostics. A search consultation plan was set up for the project to help organize the work. We performed searches in Embase and PubMed for 14 teams, building complex searches that involved non-traditional search strategies. Our search strategies generated very large amounts of records that created challenges in balancing sensitivity with precision. We also performed overlap searches for type 1 and type 2 diabetes search strategies; and assisted in setting up reviews in the Covidence tool for screening. Conclusions: This project gave us opportunities to test methods we had not used before, such as overlap comparisons between whole search strategies. It also gave us insights into the complexity of performing a search balancing sensitivity and specificity and highlights the need for a clearly defined communication plan for extensive evidence synthesis projects.

Effects of Acute Physical Fatigue on Gaze Behavior in Expert Badminton Players.

Perceptual cognitive skills in real game settings, under conditions of fatigue, such as the ability to gather relevant visual information, are key factors in achieving motor goals in sports. The objectives were to evaluate the effects of acute physical fatigue on gaze behavior during a badminton game (Study 1) and in an unfavorable force ratio situation (Study 2). Six international-level badminton players played two sets and unfavorable force ratio situations while wearing eye-tracking glasses before and after a fatiguing task. During the set, fatiguing physical exercise led to fewer fixations per exchange and more fixations on one area of interest. During unfavorable force ratio situations, fatiguing physical exercise led to shorter fixation durations per exchange, shorter fixation durations on two areas of interest, and longer fixation durations on one area of interest. The results showed that gaze behaviors were adapted in acute physical fatigue conditions to maintain performance.

The Integration of Clinical Decision Support Systems Into Telemedicine for Patients With Multimorbidity in Primary Care Settings: Scoping Review.

BACKGROUND: Multimorbidity, the presence of more than one condition in a single individual, is a global health issue in primary care. Multimorbid patients tend to have a poor quality of life and suffer from a complicated care process. Clinical decision support systems (CDSSs) and telemedicine are the common information and communication technologies that have been used to reduce the complexity of patient management. However, each element of telemedicine and CDSSs is often examined separately and with great variability. Telemedicine has been used for simple patient education as well as more complex consultations and case management. For CDSSs, there is variability in data inputs, intended users, and outputs. Thus, there are several gaps in knowledge about how to integrate CDSSs into telemedicine and to what extent these integrated technological interventions can help improve patient outcomes for those with multimorbidity. OBJECTIVE: Our aims were to (1) broadly review system designs for CDSSs that have been integrated into each function of telemedicine for multimorbid patients in primary care, (2) summarize the effectiveness of the interventions, and (3) identify gaps in the literature. METHODS: An online search for literature was conducted up to November 2021 on PubMed, Embase, CINAHL, and Cochrane. Searching from the reference lists was done to find additional potential studies. The eligibility criterion was that the study focused on the use of CDSSs in telemedicine for patients with multimorbidity in primary care. The system design for the CDSS was extracted based on its software and hardware, source of input, input, tasks, output, and users. Each component was grouped by telemedicine functions: telemonitoring, teleconsultation, tele-case management, and tele-education. RESULTS: Seven experimental studies were included in this review: 3 randomized controlled trials (RCTs) and 4 non-RCTs. The interventions were designed to manage patients with diabetes mellitus, hypertension, polypharmacy, and gestational diabetes mellitus. CDSSs can be used for various telemedicine functions: telemonitoring (eg, feedback), teleconsultation (eg, guideline suggestions, advisory material provisions, and responses to simple queries), tele-case management (eg, sharing information across facilities and teams), and tele-education (eg, patient self-management). However, the structure of CDSSs, such as data input, tasks, output, and intended users or decision-makers, varied. With limited studies examining varying clinical outcomes, there was inconsistent evidence of the clinical effectiveness of the interventions. CONCLUSIONS: Telemedicine and CDSSs have a role in supporting patients with multimorbidity. CDSSs can likely be integrated into telehealth services to improve the quality and accessibility of care. However, issues surrounding such interventions need to be further explored. These issues include expanding the spectrum of medical conditions examined; examining tasks of CDSSs, particularly for screening and diagnosis of multiple conditions; and exploring the role of the patient as the direct user of the CDSS.

Performance-Based Measurement of eHealth Literacy: Systematic Scoping Review.

BACKGROUND: eHealth literacy describes the ability to locate, comprehend, evaluate, and apply web-based health information to a health problem. In studies of eHealth literacy, researchers have primarily assessed participants' perceived eHealth literacy using a short self-report instrument, for which ample research has shown little to no association with actual performed eHealth-related skills. Performance-based measures of eHealth literacy may be more effective at assessing actual eHealth skills, yet such measures seem to be scarcer in the literature. OBJECTIVE: The primary purpose of this study was to identify tools that currently exist to measure eHealth literacy based on objective performance. A secondary purpose of this study was to characterize the prevalence of performance-based measurement of eHealth literacy in the literature compared with subjective measurement. METHODS: We conducted a systematic scoping review of the literature, aligning with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist, in 3 stages: conducting the search, screening articles, and extracting data into a summary table. The summary table includes terminology for eHealth literacy, description of participants, instrument design, health topics used, and a brief note on the evidence of validity for each performance-based measurement tool. A total of 1444 unique articles retrieved from 6 relevant databases (MEDLINE; PsycINFO; CINAHL; Library and Information Science Abstracts [LISA]; Library, Information Science & Technology Abstracts [LISTA]; and Education Resources Information Center [ERIC]) were considered for inclusion, of which 313 (21.68%) included a measure of eHealth literacy. RESULTS: Among the 313 articles that included a measure of eHealth literacy, we identified 33 (10.5%) that reported on 29 unique performance-based eHealth literacy measurement tools. The types of tools ranged from having participants answer health-related questions using the internet, having participants engage in simulated internet tasks, and having participants evaluate website quality to quizzing participants on their knowledge of health and the web-based health information-seeking process. In addition, among the 313 articles, we identified 280 (89.5%) that measured eHealth literacy using only a self-rating tool. CONCLUSIONS: This study is the first research synthesis looking specifically at performance-based measures of eHealth literacy and may direct researchers toward existing performance-based measurement tools to be applied in future projects. We discuss some of the key benefits and drawbacks of different approaches to performance-based measurement of eHealth literacy. Researchers with an interest in gauging participants' actual eHealth literacy (as opposed to perceived eHealth literacy) should make efforts to incorporate tools such as those identified in this systematic scoping review.

Assessing Patient-Reported Outcomes in Routine Cancer Clinical Care Using Electronic Administration and Telehealth Technologies: Realist Synthesis of Potential Mechanisms for Improving Health Outcomes.

BACKGROUND: The routine measurement of patient-reported outcomes in cancer clinical care using electronic patient-reported outcome measures (ePROMs) is gaining momentum worldwide. However, a deep understanding of the mechanisms underpinning ePROM interventions that could inform their optimal design to improve health outcomes is needed. OBJECTIVE: This study aims to identify the implicit mechanisms that underpin the effectiveness of ePROM interventions and develop program theories about how and when ePROM interventions improve health outcomes. METHODS: A realist synthesis of the literature about ePROM interventions in cancer clinical care was performed. A conceptual framework of ePROM interventions was constructed to define the scope of the review and frame the initial program theories. Literature searches of Ovid MEDLINE, Ovid Embase, Scopus, and CINAHL, supplemented by citation tracking, were performed to identify relevant literature to develop, refine, and test program theories. Quality appraisal of relevant studies was performed using the Mixed Methods Appraisal Tool. RESULTS: Overall, 61 studies were included in the realist synthesis: 15 (25%) mixed methods studies, 9 (15%) qualitative studies, 13 (21%) descriptive studies, 21 (34%) randomized controlled trials, and 3 (5%) quasi-experimental studies. In total, 3 initial program theories were developed regarding the salient components of ePROM interventions-remote self-reporting, real-time feedback to clinicians, and clinician-patient telecommunication. The refined theories posit that remote self-reporting enables patients to recognize and report symptoms accurately and empowers them to communicate these to clinicians, real-time feedback prompts clinicians to manage symptoms proactively, and clinician-patient telephone interactions and e-interactions between clinic encounters improve symptom management by reshaping how clinicians and patients communicate. However, the intervention may not achieve the intended benefit if ePROMs become a reminder to patients of their illness and are not meaningful to them and when real-time feedback to clinicians lacks relevance and increases the workload. CONCLUSIONS: The key to improving health outcomes through ePROM interventions is enabling better symptom reporting and communication through remote symptom self-reporting, promoting proactive management of symptoms through real-time clinician feedback, and facilitating clinician-patient interactions. Patient engagement with self-reporting and clinician engagement in responding to feedback are vital and may reinforce each other in improving outcomes. Effective ePROM interventions might fundamentally alter how clinicians and patients interact between clinic encounters.

Evaluation of the Effectiveness of Telehealth Chronic Disease Management System: Systematic Review and Meta-analysis.

BACKGROUND: Long-term daily health monitoring and management play a more significant role in telehealth management systems nowadays, which require evaluation indicators to present patients' general health conditions and become applicable to multiple chronic diseases. OBJECTIVE: This study aims to evaluate the effectiveness of subjective indicators of telehealth chronic disease management system (TCDMS). METHODS: We selected Web of Science, ScienceDirect, Scopus, Cochrane library, IEEE, and Chinese National Knowledge Infrastructure and Wanfang, a Chinese medical database, and searched papers published from January 1, 2015, to July 1, 2022, regarding randomized controlled trials on the effectiveness of the telehealth system on patients with chronic diseases. The narrative review summarized the questionnaire indicators presented in the selected studies. In the meta-analysis, Mean Difference (MD) and Standardized Mean Difference (SMD) with a 95% CI were pooled depending on whether the measurements were the same. Subgroup analysis was conducted if the heterogeneity was significant, and the number of studies was sufficient. RESULTS: Twenty RCTs with 4153 patients were included in the qualitative review. Seventeen different questionnaire-based outcomes were found, within which quality of life, psychological well-being (including depression, anxiety, and fatigue), self-management, self-efficacy, and medical adherence were most frequently used. Ten RCTs with 2095 patients remained in meta-analysis. Compared to usual care, telehealth system can significantly improve the quality of life (SMD 0.44; 95% CI 0.16-0.73; P=.002), whereas no significant effects were found on depression (SMD -0.25; 95% CI -0.72 to 0.23; P=.30), anxiety (SMD -0.10; 95% CI -0.27 to 0.07; P=.71), fatigue (SMD -0.36; 95% CI -1.06 to 0.34; P<.001), and self-care (SMD 0.77; 95% CI -0.28-1.81; P<.001). In the subdomains of quality of life, telehealth statistically significantly improved physical functioning (SMD 0.15; 95% CI 0.02 to 0.29; P=.03), mental functioning (SMD 0.37; 95% CI 0.13-0.60; P=.002), and social functioning (SMD 0.64; 95% CI 0.00-1.29; P=.05), while there was no difference on cognitive functioning (MD 8.31; 95% CI -7.33 to 23.95; P=.30) and role functioning (MD 5.30; 95% CI -7.80 to 18.39; P=.43). CONCLUSIONS: TCDMS positively affected patients' physical, mental, and social quality of life across multiple chronic diseases. However, no significant difference was found in depression, anxiety, fatigue, and self-care. Subjective questionnaires had the potential ability to evaluate the effectiveness of long-term telehealth monitoring and management. However, further well-designed experiments are warranted to validate TCDMS's effects on subjective outcomes, especially when tested among different chronically ill groups.

Novel Strategy in Searching for Natural Compounds with Anti-Aging and Rejuvenating Potential.

We suggest a novel approach for searching natural compounds with anti-aging and rejuvenation potential using cell cultures, with a high potential for the further in vivo applications. The present paper discusses ways of defining age for cell populations with large numbers of cells and suggests a method of assessing how young or old a cell population is based on a cell age profile approach. This approach uses experimental distributions of the cells over the cell cycle stages, acquired using flow cytometry. This paper discusses how such a profile should evolve under homeostatic maintenance of cell numbers in the proliferation niches. We describe promising results from experiments on a commercial substance claiming rejuvenating and anti-aging activity acting upon the cultures of human mononuclear cells and dermal fibroblasts. The chosen substance promotes a shift towards larger proportion of cells in synthesis and proliferation stages, and increases cell culture longevity. Further, we describe promising in vivo testing results of a selected food supplement. Based on the described concept of cell age profile and available test results, a strategy to search for natural compounds with regenerative, anti-aging and rejuvenation potential is suggested and proposed for wider and thorough testing. Proposed methodology of age assessment is rather generic and can be used for quantitative assessment of the anti-aging and rejuvenation potential of different interventions. Further research aimed at the tests of the suggested strategy using more substances and different interventions, and the thorough studies of molecular mechanisms related to the action of the substance used for testing the suggested search methodology, are needed.

Adherence to literature search reporting guidelines in leading rheumatology journals' systematic reviews: umbrella review protocol.

Literature searches are important components of systematic reviews. They are not only informative of the retrieval process, but they also set the data to be analyzed and influence additional components of systematic reviews. Despite the available guidelines, several studies have shown that the quality of reporting in systematic reviews is deficient in several medical fields. Systematic reviews may not comply completely with those guidelines despite explicitly stating they do. This protocol intends to answer to what extent systematic reviews published in rheumatology journals have complied with the PRISMA's search strategy guidelines published in 2009. The objective of the study is to analyze the compliance with the PRISMA (2009) search strategy guidelines among systematic reviews published in leading rheumatology journals. Inclusion criteria for this umbrella review protocol are systematic reviews (with or without meta-analyses) that mention having followed the PRISMA statement (2009) in their methods section, and published in journals listed in the Rheumatology category of the Journal of Citations Report 2020. Exclusion criteria are articles published before 2009; retraction letters, notes, expressions of concern; systematic reviews using PRISMA 2020. Databases to be consulted are Web of Science, PubMed and Scopus, from inception to present. Data summaries will be presented in graphs, figures, tables and network maps. A narrative synthesis will be described. This protocol complies with guidelines such as PRISMA 2020, PRISMA-A, PRISMA-P, PRISMA-S, PRESS, and JBI Manual for evidence synthesis, as long as it is suitable for umbrella review protocols. Articles in any language will be considered.

Laypeople's Online Health Information Search Strategies and Use for Health-Related Problems: Cross-sectional Survey.

BACKGROUND: With the increase in the use of the internet to search for health information about health-related problems, there is a need for health care professionals to better understand how their patients search for and use the online health information that may influence their medical decision making. OBJECTIVE: The aims of this study are to explore laypeople's online health information search strategies and examine the relationships between their search strategies and utilization behavior of online health information. METHODS: Two scales, namely match and elaboration, were used to measure patients' basic search strategies (ie, simple approach) and advanced search strategies (ie, integrative approach), respectively. In addition, the consultation scale was used to evaluate the participants' use of online health information to consult doctors and others. A total of 253 outpatients without university education were purposely selected and surveyed. The participants were outpatients at a university-affiliated teaching hospital. Partial least squares-structural equation modeling (PLS-SEM) was performed to analyze the measurement model to specify the measurement validation. In addition, the structure model of PLS-SEM was evaluated to examine the path correlations between variables and to execute interaction effect and curvilinear relationship analyses. RESULTS: The results of the path correlation analysis by PLS-SEM showed that both elaboration strategy (path coefficient=0.55, P<.001) and match strategy (path coefficient=0.36, P<.001) were positively correlated with consultation on online health information with doctors and others. In addition, interaction effect and curvilinear relationship analyses indicated that there was a significant interaction effect between elaboration and match on consultation (path coefficient=-0.34, P<.001) and a significant curvilinear relationship between match and consultation (path coefficient=-0.09, P=.046). CONCLUSIONS: Increasing patients' exposure to online health information through both a simple search approach (ie, match strategy) and a complex search approach (ie, elaboration strategy) may lead them to appropriately use the information to consult doctors and others. However, the results of interaction effect and curvilinear relationship analyses highlighted the essential role of the elaboration strategy to properly locate, evaluate, and apply online health information. The findings of this study may help health care professionals better understand how to communicate with their patients through the health information on the internet.

Constrained Planar Array Thinning Based on Discrete Particle Swarm Optimization with Hybrid Search Strategies.

This article presents a novel optimization algorithm for large array thinning. The algorithm is based on Discrete Particle Swarm Optimization (DPSO) integrated with some different search strategies. It utilizes a global learning strategy to improve the diversity of populations at the early stage of optimization. A dispersive solution set and the gravitational search algorithm are used during particle velocity updating. Then, a local search strategy is enabled in the later stage of optimization. The particle position is adaptively adjusted by the mutation probability, and its motion state is monitored by two observation parameters. The peak side-lobe level (PSLL) performance, effectiveness and robustness of the improved PSO algorithm are verified by several representative examples.

An improved multi-objective imperialist competitive algorithm for surgical case scheduling problem with switching and preparation times.

Surgical case scheduling is a key issue in the field of medician, which is a challenging work because of the difficulty in assigning resources to patients. This study regards the surgical case scheduling problem as a flexible job shop scheduling problem (FJSP). Considering the switching and preparation time of patients in different stage, an improved multi-objective imperialist competitive algorithm (IMOICA), which adopts the non-dominant sorting method, is proposed to optimize the whole scheduling. First, the social hierarchy strategy is developed to initialize the empire. Then, to enhance the global search ability of the algorithm, the concept of attraction and repulsion (AR) is introduced into the assimilation strategy. Moreover, to increase the diversity of the population, the revolution strategy is utilized. Finally, the variable neighborhood search (VNS) strategy is embedded to improve its exploitation capacity further. Experiments show that scheduling in advance saves time and cost, and IMOICA can solve the surgical case scheduling problem studied efficiently.

Assessment of the Effect of Cleanliness on the Visual Inspection of Aircraft Engine Blades: An Eye Tracking Study.

Background-The visual inspection of aircraft parts such as engine blades is crucial to ensure safe aircraft operation. There is a need to understand the reliability of such inspections and the factors that affect the results. In this study, the factor 'cleanliness' was analysed among other factors. Method-Fifty industry practitioners of three expertise levels inspected 24 images of parts with a variety of defects in clean and dirty conditions, resulting in a total of N = 1200 observations. The data were analysed statistically to evaluate the relationships between cleanliness and inspection performance. Eye tracking was applied to understand the search strategies of different levels of expertise for various part conditions. Results-The results show an inspection accuracy of 86.8% and 66.8% for clean and dirty blades, respectively. The statistical analysis showed that cleanliness and defect type influenced the inspection accuracy, while expertise was surprisingly not a significant factor. In contrast, inspection time was affected by expertise along with other factors, including cleanliness, defect type and visual acuity. Eye tracking revealed that inspectors (experts) apply a more structured and systematic search with less fixations and revisits compared to other groups. Conclusions-Cleaning prior to inspection leads to better results. Eye tracking revealed that inspectors used an underlying search strategy characterised by edge detection and differentiation between surface deposits and other types of damage, which contributed to better performance.

Database combinations to retrieve systematic reviews in overviews of reviews: a methodological study.

BACKGROUND: When conducting an Overviews of Reviews on health-related topics, it is unclear which combination of bibliographic databases authors should use for searching for SRs. Our goal was to determine which databases included the most systematic reviews and identify an optimal database combination for searching systematic reviews. METHODS: A set of 86 Overviews of Reviews with 1219 included systematic reviews was extracted from a previous study. Inclusion of the systematic reviews was assessed in MEDLINE, CINAHL, Embase, Epistemonikos, PsycINFO, and TRIP. The mean inclusion rate (% of included systematic reviews) and corresponding 95% confidence interval were calculated for each database individually, as well as for combinations of MEDLINE with each other database and reference checking. RESULTS: Inclusion of systematic reviews was higher in MEDLINE than in any other single database (mean inclusion rate 89.7%; 95% confidence interval [89.0-90.3%]). Combined with reference checking, this value increased to 93.7% [93.2-94.2%]. The best combination of two databases plus reference checking consisted of MEDLINE and Epistemonikos (99.2% [99.0-99.3%]). Stratification by Health Technology Assessment reports (97.7% [96.5-98.9%]) vs. Cochrane Overviews (100.0%) vs. non-Cochrane Overviews (99.3% [99.1-99.4%]) showed that inclusion was only slightly lower for Health Technology Assessment reports. However, MEDLINE, Epistemonikos, and reference checking remained the best combination. Among the 10/1219 systematic reviews not identified by this combination, five were published as websites rather than journals, two were included in CINAHL and Embase, and one was included in the database ERIC. CONCLUSIONS: MEDLINE and Epistemonikos, complemented by reference checking of included studies, is the best database combination to identify systematic reviews on health-related topics.

Acquisition of Spatial Search Strategies and Reversal Learning in the Morris Water Maze Depend on Disparate Brain Functional Connectivity in Mice.

Learning has been proposed to coincide with changes in connections between brain regions. In the present study, we used resting-state fMRI (rsfMRI) to map brain-wide functional connectivity (FC) in mice that were trained in the hidden-platform version of the Morris water maze. C57BL6 mice were investigated in a small animal MRI scanner following 2, 10, or 15 days of acquisition learning, or 5 days of reversal learning. Spatial learning coincided with progressive and changing FC between telencephalic regions that have been implemented in spatial learning (such as hippocampus, cingulate, visual, and motor cortex). Search strategy assessment demonstrated that the use of cognitively advanced spatial strategies correlated positively with extensive telencephalic connectivity, whereas non-spatial strategies correlated negatively with connectivity. FC patterns were different and more extensive after reversal learning compared with after extended acquisition learning, which could explain why reversal learning has been shown to be more sensitive to subtle functional defects.

The topography of the environment alters the optimal search strategy for active particles.

In environments with scarce resources, adopting the right search strategy can make the difference between succeeding and failing, even between life and death. At different scales, this applies to molecular encounters in the cell cytoplasm, to animals looking for food or mates in natural landscapes, to rescuers during search and rescue operations in disaster zones, and to genetic computer algorithms exploring parameter spaces. When looking for sparse targets in a homogeneous environment, a combination of ballistic and diffusive steps is considered optimal; in particular, more ballistic Lévy flights with exponent [Formula: see text] are generally believed to optimize the search process. However, most search spaces present complex topographies. What is the best search strategy in these more realistic scenarios? Here, we show that the topography of the environment significantly alters the optimal search strategy toward less ballistic and more Brownian strategies. We consider an active particle performing a blind cruise search for nonregenerating sparse targets in a 2D space with steps drawn from a Lévy distribution with the exponent varying from [Formula: see text] to [Formula: see text] (Brownian). We show that, when boundaries, barriers, and obstacles are present, the optimal search strategy depends on the topography of the environment, with [Formula: see text] assuming intermediate values in the whole range under consideration. We interpret these findings using simple scaling arguments and discuss their robustness to varying searcher's size. Our results are relevant for search problems at different length scales from animal and human foraging to microswimmers' taxis to biochemical rates of reaction.

A Microsoft Excel Approach to Reduce Errors and Increase Efficiency in Systematic Searching.

Developing a search strategy for a systematic review is a time-consuming process in which small errors around the formatting and compilation of terms can have large consequences. Microsoft Excel was identified as a potentially useful software to streamline the process and reduce manual errors. Ultimately a spreadsheet was created that largely automates the process of creating a single-line search string with correctly formatted terms, Boolean operators and parentheses.

How to undertake a literature search: a step-by-step guide.

Undertaking a literature search can be a daunting prospect. Breaking the exercise down into smaller steps will make the process more manageable. This article suggests 10 steps that will help readers complete this task, from identifying key concepts to choosing databases for the search and saving the results and search strategy. It discusses each of the steps in a little more detail, with examples and suggestions on where to get help. This structured approach will help readers obtain a more focused set of results and, ultimately, save time and effort.

The Barnes Maze Task Reveals Specific Impairment of Spatial Learning Strategy in the Intrahippocampal Kainic Acid Model for Temporal Lobe Epilepsy.

Temporal lobe epilepsy (TLE) is an acquired form of focal epilepsy, in which patients not only suffer from unprovoked, devastating seizures, but also from severe comorbidities, such as cognitive dysfunction. Correspondingly, several animal models of TLE exhibit memory dysfunction, especially spatial memory. The Morris water maze test is the most commonly used test for assessing spatial learning and memory in rodents. However, high stress and poor swimming abilities are common confounders and may contribute to misinterpretation. Particularly epileptic mice show altered behaviour during the test as they fail to understand the paradigm context. In the Barnes maze test, a dry-land maze test for spatial learning and memory that uses milder aversive stimuli, these drawbacks have not yet been reported. In the present study, we use this task to evaluate spatial learning and memory in the intrahippocampal kainic acid mouse model of TLE. We demonstrate that the epileptic mice understand the Barnes maze paradigm context, as they learn the location of the escape-chamber by using a serial search strategy but fail to develop the more efficient spatial search strategy. Our data indicate that the Barnes maze may be a better alternative to the Morris water maze for assessing search strategies and impairment of learning and memory in epileptic mice.

Balancing feasibility and comprehensiveness: examining medications for reducing emergency hospital admissions.

Emergency hospital admissions are common, with several interventions having been developed to reduce their rates. Bobrovitz et al. summarized the available body of evidence regarding pharmacologic therapies aimed at reducing emergency hospital admissions, and identified 28 medications for which high- or moderate-quality evidence supports their use, 11 of which were identified as being supported by current guideline recommendations. Additionally, the authors identified 28 medications supported by low- or very low-quality evidence, which can serve as targets for future research. The article by Bobrovitz et al. presents a good summary of the evidence, albeit with limitations in the search strategy that cannot guarantee the review as comprehensive. Despite this, the review has important implications for policymakers, guideline panels, researchers, clinicians, and funders since the identified medications can either be targets for quality improvement initiatives or for future research. Bobrovitz et al.'s review highlights the challenge that systematic reviewers face when balancing feasibility and comprehensiveness.Please see related article: https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-018-1104-9.