Meta-analytic Approach Research Articles

Population pharmacokinetics of erlotinib in patients with non-small cell lung cancer (NSCLC): A model-based meta-analysis.

Erlotinib is a potent first-generation epidermal growth factor receptor tyrosine kinase inhibitor. Due to its proximity to the upper limit of tolerability, dose adjustments are often necessary to manage potential adverse reactions resulting from its pharmacokinetic (PK) variability. Population PK studies of erlotinib were identified using PubMed databases. Simulations of erlotinib concentrations were conducted at 4-h intervals, with covariate simulations based on patient characteristics. Three studies were included in this analysis. The one-compartment model was determined to be the most suitable for describing the population PK of erlotinib. A decrease in clearance was observed with age, while an increase in clearance was noted in smoking patients. The volume of distribution was positively correlated with body weight. Our study proposes optimal dosing of erlotinib based on age and smoking status, categorizing the patient population into six groups. This is the first report on a model-based meta-analysis approach to develop a population PK model of erlotinib in patients with non-small cell lung cancer. Our findings suggest that an increased dosage is appropriate for patients under 60 who smoke, whereas a reduced dosage is more suitable for non-smoking older patients.

Comparing General Anesthesia-Based Regimens for Endovascular Treatment of Acute Ischemic Stroke: A Systematic Review and Network Meta-Analysis.

Total intravenous anesthesia (TIVA)-based and volatile-based general anesthesia have different effects on cerebral hemodynamics. The current work compares these 2 regimens in acute ischemic stroke patients undergoing endovascular therapy. We conducted a systematic literature search across MEDLINE, Embase, Cochrane, CINAHL, Web of Science, and Scopus. We identified English language studies including adult acute ischemic stroke patients managed with endovascular therapy under general anesthesia delineable into TIVA only and/or volatile only, and obtained categorical data for favorable functional outcomes using the modified Rankin scale (mRS ≤2), at 90 days after endovascular therapy. Odds ratios (OR) and standardized mean differences were calculated to inform a network meta-analysis approach, which permitted the inclusion of studies comparing a form of general anesthesia (ie, TIVA only or volatile only) to conscious sedation. The search rendered 6235 articles, of which 15 met inclusion criteria. Three studies directly investigated TIVA versus volatile, whereas 12 studies compared general anesthesia to conscious sedation. The total number of subjects was 3015 (conscious sedation: n = 1067; general anesthesia: n = 1948 [TIVA: n = 1212, volatile: n = 736]). No significant differences were identified between TIVA and volatile groups in 90-day neurological outcome (OR = 1.25, 95% confidence interval [CI], 0.81-1.91; P = .31), 90-day mortality (OR = 0.72, 95% CI, 0.42-1.24; P = .24), successful recanalization (OR = 1.33, 95% CI, 0.70-2.52; P = .39), or recanalization time (standardized mean difference = 0.03, 95% CI, -0.35 to 0.41; P = .88). Additionally, no significant differences were identified between the conscious sedation group and the TIVA group in 90-day neurological outcome (OR = 1.14, 95% CI, 0.84-1.53; P = .40), 90-day mortality (OR = 0.87, 95% CI, 0.62-1.23; P = .43), successful recanalization (OR = 0.76, 95% CI, 0.52-1.10; P = .15), or recanalization time (standardized mean difference = -0.18, 95% CI, -0.47 to 0.11; P = .23), and between the conscious sedation group and the volatile group in 90-day neurological outcome (OR = 1.42, 95% CI, 0.92-2.17; P = .11), 90-day mortality (OR = 0.63, 95% CI, 0.36-1.12; P = .11), successful recanalization (OR = 1.01, 95% CI, 0.52-1.94; P = .98), or recanalization time (standardized mean difference = -0.15, 95% CI, -0.52 to 0.23; P = .44). This network meta-analysis showed that the perioperative use of either general anesthesia-based regimen, or sedation, did not significantly impact various endovascular therapy-related outcomes. However, the current work was underpowered to detect differences in anesthetic agents, clinico-demographic characteristics, or procedural factors.

Dynamic switching between brain networks predicts creative ability

Creativity is hypothesized to arise from a mental state which balances spontaneous thought and cognitive control, corresponding to functional connectivity between the brain’s Default Mode (DMN) and Executive Control (ECN) Networks. Here, we conduct a large-scale, multi-center examination of this hypothesis. Employing a meta-analytic network neuroscience approach, we analyze resting-state fMRI and creative task performance across 10 independent samples from Austria, Canada, China, Japan, and the United States (N = 2433)—constituting the largest and most ethnically diverse creativity neuroscience study to date. Using time-resolved network analysis, we investigate the relationship between creativity (i.e., divergent thinking ability) and dynamic switching between DMN and ECN. We find that creativity, but not general intelligence, can be reliably predicted by the number of DMN-ECN switches. Importantly, we identify an inverted-U relationship between creativity and the degree of balance between DMN-ECN switching, suggesting that optimal creative performance requires balanced brain network dynamics. Furthermore, an independent task-fMRI validation study (N = 31) demonstrates higher DMN-ECN switching during creative idea generation (compared to a control condition) and replicates the inverted-U relationship. Therefore, we provide robust evidence across multi-center datasets that creativity is tied to the capacity to dynamically switch between brain networks supporting spontaneous and controlled cognition.

Exploring the Frontiers of Nanopore Sequencing in Food Safety and Food Microbiology.

Foodborne illnesses are a significant global public health challenge, with an estimated 600 million cases annually. Conventional food microbiology methods tend to be laborious and time consuming, pose difficulties in real-time utilization, and can display subpar accuracy or typing capabilities. With the recent advancements in third-generation sequencing and microbial omics, nanopore sequencing technology and its long-read sequencing capabilities have emerged as a promising platform. In recent years, nanopore sequencing technology has been benchmarked for its amplicon sequencing, whole-genome and transcriptome analysis, meta-analysis, and other advanced omics approaches. This review comprehensively covers nanopore sequencing technology's current advances in food safety applications, including outbreak investigation, pathogen surveillance, and antimicrobial resistance profiling. Despite significant progress, ongoing research and development are crucial to overcoming challenges in sequencing chemistry, accuracy, bioinformatics, and real-time adaptive sampling to fully realize nanopore sequencing technology's potential in food safety and food microbiology.

MetaGE: Investigating genotype x environment interactions through GWAS meta-analysis.

Elucidating the genetic components of plant genotype-by-environment interactions is of key importance in the context of increasing climatic instability, diversification of agricultural practices and pest pressure due to phytosanitary treatment limitations. The genotypic response to environmental stresses can be investigated through multi-environment trials (METs). However, genome-wide association studies (GWAS) of MET data are significantly more complex than that of single environments. In this context, we introduce metaGE, a flexible and computationally efficient meta-analysis approach for jointly analyzing single-environment GWAS of any MET experiment. The metaGE procedure accounts for the heterogeneity of quantitative trait loci (QTL) effects across the environmental conditions and allows the detection of QTL whose allelic effect variations are strongly correlated to environmental cofactors. We evaluated the performance of the proposed methodology and compared it to two competing procedures through simulations. We also applied metaGE to two emblematic examples: the detection of flowering QTLs whose effects are modulated by competition in Arabidopsis and the detection of yield QTLs impacted by drought stresses in maize. The procedure identified known and new QTLs, providing valuable insights into the genetic architecture of complex traits and QTL effects dependent on environmental stress conditions. The whole statistical approach is available as an R package.

Could the Effect of Arsenic on the Testis be Reversed after Removing the Insult? A Meta-analysis Study.

Arsenic in drinking water has been associated with an increased risk of health concerns. This metalloid is ingested and distributed throughout the body, accumulating in several organs, including the testis. In this organ, arsenic disturbs steroidogenesis and spermatogenesis and affects male fertility. Although testicular impairment induced by arsenic is well documented, it is still controversial whether such disturbance remains days after the removal of arsenic insult. Therefore, we used a meta-analytical approach to evaluate the magnitude of arsenic effects on testicular parameters and verify whether a withdrawal period can mitigate these alterations. The search terms 'testis" and 'arsenic' were used in PubMed/Medline, Scopus, and Web of Science databases. A total of 1,217 articles were obtained from the literature search, and 73 articles were included in this meta-analysis. Our results showed that arsenic negatively affected hormone synthesis and secretion, testicular weight, tubular and intertubular morphometry, and daily sperm production 24h after ending exposure. Arsenic inhibited antioxidant enzyme activity, culminating in high oxidative metabolite production and apoptosis occurrence. Most of these effects were not observed in the testis between eight and fifty days after arsenic withdrawal, remaining endocrine dysregulation and oxidative metabolite production. Sodium arsenite was the most toxic compound to the testis at subchronic exposure. These findings shed light on the plasticity and regenerative capacity of testicular interstitium and spermatogonial stem cell niche. However, sexual hormone imbalance remained after arsenic removal. This review evidenced the importance of understanding its toxicity's short- and long-term effects on male reproductive competence.

Protective and risk factors of anxiety in children and adolescents during COVID-19: A systematic review and three level meta-analysis.

In order to gain a deepened understanding of the impact of public health emergency and to develop effective interventions and preventions, this study aimed to evaluate risk and protective factors associated with anxiety in children and adolescents and to explore potential moderators in the background of COVID-19 within the framework of socio-ecological model. A literature search was conducted in Web of Science, MEDLINE, PubMed, Scopus, EBSCO, ScienceDirect, Emerald, and CNKI for studies published from early 2020 to early 2023 that examined factors associated with anxiety among children and adolescents with age range of 6 to 17 years old. Random effects models and a three-level meta-analytic approach were used. In total, 141 articles and 1,018,171 subjects were included, with 1002 effect sizes extracted. 32 protective factors and 48 risk factors were examined, yielding significance for 14 protective factors and 29 risk factors, including individual factors (e.g., gender, logOR = -0.37, 95 % CI [-0.47, -0.27], p < 0.001; age, logOR = -0.12, 95 % CI [-0.22, -0.02], p = 0.02; emotional functioning, logOR = -1.45, 95 % CI [-1.84, -1.05], p < 0.001; pre-existing condition logOR = 0.94, 95 % CI [0.58, 1.30], p < 0.001; electronic device or internet addiction, logOR = 1.81, 95 % CI [0.74, 2.88], p < 0.001), family factors (e.g., family socioeconomic status, logOR = -0.25, 95 % CI [-0.39, -0.10], p < 0.001; family functioning, logOR = -1.31, 95 % CI [-1.60, -1.02], p < 0.001; anxiety level of caregiver, logOR = 1.06, 95 % CI [0.75, 1.37], p < 0.001), community factors (e.g., overall social support, logOR = -0.93, 95 % CI [-1.84, -1.05], p < 0.001; school burden, logOR = 0.56, 95 % CI [0.21, 0.90], p = 0.002), and COVID-19-related factors (e.g., higher exposure risk in local community or city, logOR = 0.48, 95 % CI [0.17, 0.78], p = 0.002; distant learning, logOR = 0.73, 95 % CI [0.19, 1.28], p = 0.008; COVID-19-related distress, logOR = 1.42, 95 % CI [0.55, 2.29], p = 0.001;). The majority of studies showed no publication bias. Age group moderated the relationship between gender and level of anxiety (F (1,96) = 4.42, p = 0.038), and no other moderator showed significance. This study does not reveal causality but correlation in nature, and our findings should be interpretated with caution. Public health emergencies could bring challenges to the mental health of children and adolescents. Prevention and intervention strategies for children and adolescents with high risks, and family-based and community-based programs should be encouraged to buffer the adverse impact on children and adolescents. This study has been prospectively registered at PROSPERO (registration number: CRD42022316746).

The effect of moisture during development on phenotypes of egg-laying reptiles: A systematic review and meta-analysis.

The embryonic environment is critical for the development of many ectothermic vertebrates, which makes them highly vulnerable to environmental change. Changes in temperature and moisture, in particular, are known to influence embryo survival and offspring phenotypes. While most papers concerning phenotypic development of terrestrial ectotherms focus on the role of temperature on eggs and embryos, the comparatively small number of studies on the effects of substrate moisture are well suited for quantitative analysis aimed at guiding future research. To accomplish this goal, we compiled data from 37 studies on 28 different reptile species and used a meta-analytic approach to quantify the effect of substrate moisture on several offspring outcomes: hatching success (survival), incubation duration, hatchling mass and length, and sex ratio. We found that substrate moisture had a small effect across most traits but significantly affected body size (i.e., length and mass), with wetter conditions producing longer and heavier hatchlings. Temperature also moderated the effect of moisture on hatching success; with higher temperatures resulting in lower success. Additionally, the effect of moisture on hatching success and hatchling mass was enhanced by larger differences in moisture concentration between treatments, yet the effect was small. Lastly, substrate moisture affected sex ratio in turtles, but not in other squamates. Overall, these analyses provide a foundation for further research investigating the effects of moisture on oviparous reptile development. Increasing the diversity of environmental variables for which we understand their impact on animal phenotype will be beneficial in an era with wide-ranging global change.

Identification of Endometriosis Pathophysiologic-Related Genes Based on Meta-Analysis and Bayesian Approach.

Endometriosis is a complex disease with diverse etiologies, including hormonal, immunological, and environmental factors; however, its exact pathogenesis remains unknown. While surgical approaches are the diagnostic and therapeutic gold standard, identifying endometriosis-associated genes is a crucial first step. Five endometriosis-related gene expression studies were selected from the available datasets. Approximately, 14,167 genes common to these 5 datasets were analyzed for differential expression. Meta-analyses utilized fold-change values and standard errors obtained from each analysis, with the binomial and continuous datasets contributing to endometriosis presence and endometriosis severity meta-analysis, respectively. Approximately 160 genes showed significant results in both meta-analyses. For Bayesian analysis, endometriosis-related single nucleotide polymorphisms (SNPs), the human transcription factor catalog, uterine SNP-related gene expression, disease-gene databases, and interactome databases were utilized. Twenty-four genes, present in at least three or more databases, were identified. Network analysis based on Pearson's correlation coefficients revealed the HLA-DQB1 gene with both a high score in the Bayesian analysis and a central position in the network. Although ZNF24 had a lower score, it occupied a central position in the network, followed by other ZNF family members. Bayesian analysis identified genes with high confidence that could support discovering key diagnostic biomarkers and therapeutic targets for endometriosis.

Synthesizing the quantitative impact of urban neighborhood morphology on pedestrian wind environment- A meta-analysis approach

Synthesizing the quantitative impact of urban neighborhood morphology on pedestrian wind environment- A meta-analysis approach

Does shame mediate the influence of trauma on psychosis? A systematic review and meta-analytic structural equation modelling approach.

Meta-analytic evidence has linked shame separately to both potentially traumatic events (PTEs) and psychosis, but the influence of shame on the relationship between PTEs and psychosis has not yet been examined. This study used meta-analytic structural equation modelling (MASEM) to examine whether shame plays a mediatory role between PTEs and experiences of psychosis. A nested search was conducted within a previous systematic review on psychosis and shame to identify articles that contained a measure of PTEs. Included studies reported a quantitative association between psychosis and shame, and additionally a quantitative relationship between either i) PTEs and psychosis; or ii) PTEs and shame. Of the 40 articles initially included, 14 met criteria and 13 were included in the analyses. Overall, shame partially mediated the relationship between PTE's and psychosis, observed through a significant indirect effect (β=0.15, 95% CI: 0.11-0.19) and a reduction in the direct path that remained significant (β=0.13, 95% CI: 0.06-0.20). Indirect paths through shame between childhood PTEs and psychosis (β=0.07, 95% CI: 0.03-0.11), and between lifespan PTEs and psychosis (β=0.09, 95% CI: 0.03-0.11), were both small but significant. Both direct paths remained significant, suggesting that shame acts a partial mediator for both types of PTE. Shame is one path through which potentially traumatic events may influence the experience of psychosis and should be considered alongside other affective types in future modelling of psychosis. Qualitative research may aid further understanding of the mechanisms by which shame operates in this relationship.

The effect of cognitive behavioral interventions applied to children with anxiety disorders on their anxiety level: A meta-analysis study.

Anxiety disorders are among the most prevalent mental health conditions in childhood, affecting an estimated 10% to 20% of children. Cognitive Behavioral Therapy (CBT) is the most commonly employed treatment for these disorders. This study utilizes a meta-analytic approach to evaluate the effectiveness of CBT interventions in reducing anxiety levels among children diagnosed with anxiety disorders. A comprehensive search was conducted in the "PubMed," "Science Direct," "Scopus," and "Web of Science" databases to identify randomized controlled and quasi-experimental studies that investigated the impact of CBT on children's anxiety levels. Studies that met the inclusion criteria were selected for analysis. The methodological quality of the selected studies was assessed using the "Critical Appraisal Checklists" developed by the Joanna Briggs Institute (JBI). Meta-analytic procedures were performed using the Review Manager 5.4.1 software. Twenty-nine studies published between 2015 and 2024 met the inclusion criteria and were included in the meta-analysis. The results indicate that CBT interventions are significantly effective in reducing anxiety levels in children with anxiety disorders (SMD: -1.51, 95% CI: -2.07, -0.95, Z=5.28, p<0.00001). Among the various types of CBT, cognitive behavioral play therapy emerged as the most effective in reducing anxiety (SMD: -2.41, 95% CI: -2.95, -1.88, Z=8.84, p<0.00001). Additionally, follow-up assessments at 3, 6, and 12months post-intervention demonstrated that CBT has a sustained effect in lowering children's anxiety levels over time. This meta-analysis offers a valuable update to the existing literature by reinforcing the efficacy of CBT interventions in treating anxiety disorders in children.

Client-identified outcomes of individual psychotherapy: a qualitative meta-analysis

Psychotherapy outcomes are typically measured in terms of symptom relief. However, this method might overlook important changes from clients' perspectives when they are asked to report on them. A more client-centred approach might bring a deeper understanding of psychotherapy outcomes. We aimed to evaluate the outcomes identified by clients within qualitative psychotherapy research. The PsycArticles, PsycInfo, and MEDLINE Complete databases were searched for English language studies published until Nov 11, 2023. Additional studies were identified through references in the primary studies and previous meta-analyses or systematic reviews. Search terms were related to psychotherapy and counselling, clients' or patients' experiences, psychotherapy outcomes and changes, post-treatment perspectives, and types of qualitative methods. Qualitative studies on client-identified outcomes of individual psychotherapy were included. Findings related to clients' perceptions of psychotherapy outcomes were extracted (by ML and checked by TR and LT) and analysed (by all authors) using the descriptive-interpretative meta-analytic approach. All authors have personally experienced psychotherapy as clients. This study was pre-registered with PROSPERO (CRD42021277330). We included 177 studies in the qualitative meta-analysis, from 24 countries, including descriptions from 2908 clients. Most of the studies were of good quality; they covered a wide range of therapeutic approaches and diagnoses. The descriptions of psychotherapy outcomes were classified into 60 meta-categories and grouped into ten clusters. These clusters related to clients' relational and social functioning; their emotional functioning; self-awareness, self-understanding, and more adaptive cognitive processing; behavioural functioning; developing their own resources; clients' attitudes towards themselves; generally embracing life; symptom and problem change; and more general wellbeing. The tenth cluster was outcomes that could not be clearly attributed to psychotherapy, which was considered outside the scope of this study. The meta-analysis showed that clients value outcome dimensions beyond symptom reduction, such as deeper self-understanding, enhanced self-agency, and greater social engagement. By examining psychotherapy outcomes across various diagnoses and therapeutic approaches, we highlight limitations in traditional outcome measures, showing the need for more comprehensive, client-centred assessment tools and the value of incorporating qualitative methods into understanding dimensions of change. European Union.

Gene Expression Signatures of Smoking and Acute Myocardial Infarction: A Blood Transcriptome Analysis.

Background: Tobacco smoke is known to contain numerous harmful chemicals, and epidemiological evidence has firmly established smoking as a potent risk factor for hypertension and myocardial infarction (MI). However, the precise mechanisms by which smoking contributes to cardiovascular disease are not fully understood. The aim of this study is to identify common molecular signatures in blood that link smoking to acute MI (AMI). Methods: We extracted transcriptome data from seven blood microarray datasets in the Gene Expression Omnibus (GEO) database, encompassing a total of 403 patients. Employing both individual dataset analysis and a combined meta-analysis approach, we conducted a thorough examination of blood transcriptome profiles associated with AMI and smoking, uncovering numerous differentially expressed genes (DEGs). Results: Functional enrichment analysis indicated that DEGs associated with AMI and smoking were significantly enriched in overlapping biological processes, such as immune response and inflammation. Moreover, three genes-PTGDR, PYHIN1, and PRSS23-were consistently altered in both conditions and were validated as dysregulated in AMI using an independent GEO dataset. Furthermore, quantitative real-time reverse transcription polymerase chain reaction (qRT-PCR) validation further confirmed the differential expression of PYHIN1 and PRSS23 in AMI patients. Conclusions: Our findings suggest that gene expression changes induced by smoking in blood may contribute to the heightened risk of AMI. These identified genes are likely to play critical roles in the pathogenesis of AMI. Given the accessibility of peripheral blood samples, the expression levels of these genes could potentially serve as biomarkers for assessing cardiovascular health, particularly in individuals with a history of long-term exposure to cigarette smoke.

Estimating the Exposure-Response Relationship between Fine Mineral Dust Concentration and Coccidioidomycosis Incidence Using Speciated Particulate Matter Data: A Longitudinal Surveillance Study.

Coccidioidomycosis, caused by inhalation of Coccidioides spp. spores, is an emerging infectious disease that is increasing in incidence throughout the southwestern US. The pathogen is soil-dwelling, and spore dispersal and human exposure are thought to co-occur with airborne mineral dust exposures, yet fundamental exposure-response relationships have not been conclusively estimated. We estimated associations between fine mineral dust concentration and coccidioidomycosis incidence in California from 2000 to 2017 at the census tract level, spatiotemporal heterogeneity in exposure-response, and effect modification by antecedent climate conditions. We acquired monthly census tract-level coccidioidomycosis incidence data and modeled fine mineral dust concentrations from 2000 to 2017. We fitted zero-inflated distributed-lag nonlinear models to estimate overall exposure-lag-response relationships and identified factors contributing to heterogeneity in exposure-responses. Using a random-effects meta-analysis approach, we estimated county-specific and pooled exposure-responses for cumulative exposures. We found a positive exposure-response relationship between cumulative fine mineral dust exposure in the 1-3 months before estimated disease onset and coccidioidomycosis incidence across the study region [incidence rate ratio (IRR) for an increase from 0.1 to ; 95% CI: 1.46, 1.74]. Positive, supralinear associations were observed between incidence and modeled fine mineral dust exposures 1 [ (95% CI: 1.10, 1.17)], 2 [ (95% CI: 1.09, 1.20)] and 3 [ (95% CI: 1.04, 1.12)] months before estimated disease onset, with the highest exposures being particularly associated. The cumulative exposure-response relationship varied significantly by county [lowest IRR, western Tulare: 1.05 (95% CI: 0.54, 2.07); highest IRR, San Luis Obispo: 3.01 (95% CI: 2.05, 4.42)]. Season of exposure and prior wet winter were modest effect modifiers. Lagged exposures to fine mineral dust were strongly associated with coccidioidomycosis incidence in the endemic regions of California from 2000 to 2017. https://doi.org/10.1289/EHP13875.

Fish reproductive phenology shifts with increasing temperature and year.

Temperate fishes often spawn in response to environmental cues, such as temperature, thereby facilitating larval emergence concurrent with suitable biotic and abiotic conditions, such as plankton blooms. Climatic changes may alter the reproductive phenology of spring- and autumn-spawning freshwater fish populations. Such effects may depend on the sensitivity of reproductive phenology to ambient temperatures. We applied a meta-analysis approach to test whether annual temperature and year affected fish reproductive phenology. Based on preliminary tests in walleye (Sander vitreus) and Lake Constance whitefish (Coregonus arenicolus), we hypothesized that increasing temperature would promote earlier spring-spawning and later autumn-spawning. We found spawning was significantly earlier in the spring and later in the autumn. We found that migration of autumn-spawning species occurred earlier with warmer temperatures, implying that with increasing temperatures, migrating autumn-spawning species will increase residence time in tributaries. We also found that spring-spawning fishes reproduced earlier in more recent years, while we observed no significant effect in autumn-spawners. Spring- and autumn-spawning fishes displayed interannual variation in spawning dates (mean range of 34.4 and 27.0 days over 33.9 years, respectively), with spring-spawning fishes displaying a significantly broader range in spawning dates.

Risk Factors for Violence in Adult Heterosexual Noncasual Relationships: An Overview of Reviews

Intimate partner violence (IPV) is a widespread social, public health, and human rights problem. Empirical investigation of IPV risk factors can promote evidence-based assessment tools and effective prevention and intervention. This overview is a pioneering synthesis of systematic reviews (SRs) of IPV risk factors. Systematic searches for SRs in English reporting a meta-analysis of IPV risk factors in adult heterosexual, non-casual relationships published between January 2011 and June 2021 were conducted in four bibliographic databases: Medline via EBSCO, CINAHL Plus, Scopus, and APA PsycInfo. This search strategy identified 1,027 unique records. Supplementary manual search methods were completed in July 2023. Overall, 17 SRs utilizing a meta-analytic approach to investigate IPV risk factors published between 2012 and 2022 were included in the overview. Risk factors were organized into five key categories: demographic, individual, family of origin, relationship, and social. Overall, 73 unique risk factors relating to perpetrators and 61 relating to victims were identified in the SRs. Just 50 of the 119 coefficients relating to IPV perpetration were reported, by any SR, as statistically significant and of moderate or strong predictive power; and 39 of these 50 factors related to previous IPV. Only 26 of the 147 coefficients relating to IPV victimization were both statistically significant and of moderate or strong predictive power, the majority of which (15) were in the relationship violence grouping of risk factors. The evidence suggests a randomness to IPV. This body of evidence provides some limited direction for policymakers, practitioners, and researchers.

Biochemical Parameters of Laboratory Animals in Iraq: A Meta-analysis Study

Our objective in this work was to estimate normal values of biochemical parameters in laboratory animals in Iraq. Values were pooled from studies conducted in Iraqi universities using a meta-analysis approach. Pertinent peer-reviewed published studies were retrieved from the Iraqi Academic Scientific Journals (IASJ) database. Random-effects inverse-variance model was used to obtain pooled means of the parameters from the set of studies qualified for the analysis. Among a total of 460 records identified from IASJ, 264 records were eligible for the statistical analysis, which reported 102 values for different biochemical parameters. The mean of the sample size for normal animals that was used in the studies including in the analysis were 8, 8, and 6 for rats, mice, and rabbits respectively. The mean ± standard deviation of ages (months) was 2.8 ± 1.0, 3.14 ± 1.15, and 9.2 ± 3.3 for rats, mice, and rabbits respectively. In this analysis, we estimated 31, 14, and 15 parameters from 121, 41, and 26 studies of rats, mice, and rabbits correspondingly. The proportion of variance in the parameters for the analyzed studies due to heterogeneity was significant. Evidence of bias in the estimated values due to small studies was found in some parameters. In conclusion, we encourage researchers to consider the values we provided in this analysis and report details of the sample size, number of animals in each group, sex, exact age, and the accurate units for the estimated values in their studies to facilitate further analyses for more reference values in further analyses‎‎‎.

Biochemical Parameters of Laboratory Animals in Iraq: A Meta-analysis Study

Our objective in this work was to estimate normal values of biochemical parameters in laboratory animals in Iraq. Values were pooled from studies conducted in Iraqi universities using a meta-analysis approach. Pertinent peer-reviewed published studies were retrieved from the Iraqi Academic Scientific Journals (IASJ) database. Random-effects inverse-variance model was used to obtain pooled means of the parameters from the set of studies qualified for the analysis. Among a total of 460 records identified from IASJ, 264 records were eligible for the statistical analysis, which reported 102 values for different biochemical parameters. The mean of the sample size for normal animals that was used in the studies including in the analysis were 8, 8, and 6 for rats, mice, and rabbits respectively. The mean ± standard deviation of ages (months) was 2.8 ± 1.0, 3.14 ± 1.15, and 9.2 ± 3.3 for rats, mice, and rabbits respectively. In this analysis, we estimated 31, 14, and 15 parameters from 121, 41, and 26 studies of rats, mice, and rabbits correspondingly. The proportion of variance in the parameters for the analyzed studies due to heterogeneity was significant. Evidence of bias in the estimated values due to small studies was found in some parameters. In conclusion, we encourage researchers to consider the values we provided in this analysis and report details of the sample size, number of animals in each group, sex, exact age, and the accurate units for the estimated values in their studies to facilitate further analyses for more reference values in further analyses‎‎‎.

Empowering Leadership and Turnover Intention in Corporate Organizations: A Meta Analytical Perspective (2022-2024)

In an era of increasingly fierce competition, leaders in corporate organizations are required to empower their employees to be more effective and efficient. Leader empowerment can increase employee autonomy, motivation, and job satisfaction, which ultimately affects turnover intention. This study aims to analyze the impact of leader empowerment on turnover intention in corporate organizations through a meta-analysis approach of five related articles. The method used in this research is meta-analysis, which collects, analyzes, and synthesizes the results of various empirical studies on leadership empowerment and turnover intention. Relevant literature was selected based on certain criteria to ensure the validity and relevance of the data. The results show that leadership empowerment has a positive and negative influence on turnover intention. On the one hand, leadership empowerment can reduce turnover intention by increasing employee motivation and engagement. On the other hand, increasing employees' capabilities may encourage them to seek opportunities in other companies. This finding emphasizes the importance of leaders in understanding the behaviours and expectations of their subordinates and their involvement in decision-making. Overall, leadershipempowerment plays an important role in turnover intention in organizations. To minimize turnover intention, leaders need to implement strategies that empower employees while considering the complexity of diverse organizational contexts. This effort is expected to create a more stable and productive work environment.