Asymmetry Test Research Articles

A Meta-Analytic Evaluation: Investigating Evidence for the Validity of the Cognitive Abilities Test

Cognitive Abilities Test (CogAT) is one of the most frequently used gifted identification tools. In this meta-analytic study, we investigated empirical evidence of the validity of CogAT, in relation to different types of instruments. After reviewing 1,480 studies, a total of 24 with 33 effect sizes were included in the meta-analysis. According to our findings, the average effect size of r was found to be .63 with a 95% confidence interval [.57, .69]. Based on the heterogeneity test, significant variation due to the systematic between-study differences exists among the included correlations. Egger’s test for funnel plot asymmetry also indicates that no obvious publication bias exists in our study pool, which indicates there might not be a serious threat to alter the obtained results with publication bias. The moderator analysis revealed Lohman’s authorship and publication type influenced the effect size differences among studies. CogAT’s overall correlation with other identification tools (.63) might suggest using at least one more identification tool besides CogAT.

Long- and short-run asymmetric impacts of climate variation on tuberculosis based on a time series study

Distinguishing between long-term and short-term effects allows for the identification of different response mechanisms. This study investigated the long- and short-run asymmetric impacts of climate variation on tuberculosis (TB) and constructed forecasting models using the autoregressive distributed lag (ARDL) and nonlinear ARDL (NARDL). TB showed a downward trend, peaking in March-May per year. A 1 h increment or decrement in aggregate sunshine hours resulted in an increase of 32 TB cases. A 1 m/s increment and decrement in average wind velocity contributed to a decrement of 3600 and 5021 TB cases, respectively (Wald long-run asymmetry test [WLR] = 13.275, P < 0.001). A 1% increment and decrement in average relative humidity contributed to an increase of 115 and 153 TB cases, respectively. A 1 hPa increment and decrement in average air pressure contributed to a decrease of 318 and 91 TB cases, respectively (WLR = 7.966, P = 0.005). ∆temperature(−), ∆(sunshine hours)( −), ∆(wind velocity)(+) and ∆(wind velocity)(−) at different lags had a meaningful short-run effect on TB. The NARDL outperformed the ARDL in forecasting. Climate variation has significant long- and short-run asymmetric impacts on TB. By incorporating both dimensions of effects into the NARDL, the accuracy of the forecasts and policy recommendations for TB can be enhanced.

What Is the Added Value of DWI Compared With Structured Assessment of BI-RADS Criteria by the Kaiser Score? A Systematic Review and Meta-analysis

Objective This systematic review and meta-analysis investigated the added value of DWI compared with the structured assessment of BI-RADS criteria using the Kaiser score. Materials and Methods Articles published in English until May 2024 were included. Two independent reviewers extracted data on the characteristics of studies evaluating the added value of DWI to distinguish benign from malignant breast lesions compared with structured assessment of the BI-RADS criteria. Using bivariate random-effects models, the sensitivity and specificity were calculated. I 2 statistics, Deek's funnel plot asymmetry test for publication bias, and meta-regression were applied for the data analysis. Results Five studies comprising 1005 malignant and 846 benign lesions were eligible for data synthesis. The pooled sensitivity and specificity estimates of structured BI-RADS assessment were 95.7% (95% confidence interval [CI], 92.6%–97.5%) and 68.7% (95% CI, 60.9%–75.6%), respectively. Adding DWI to the structured BI-RADS assessment achieved a pooled sensitivity of 94.4% (95% CI, 90.5%–96.7%) and a pooled specificity of 74.9% (95% CI, 68.8%–80.2%). Adding DWI to the structured BI-RADS assessment significantly changed neither the sensitivity (P = 0.52) nor the specificity (P = 0.20). Conclusions This systematic review and meta-analysis revealed only a limited, statistically nonsignificant added value of DWI compared with the structured assessment of BI-RADS criteria using the Kaiser score.

Non-linear effects of three core mineral resources, energy uncertainty, and inclusive digitalization on economic growth: A comparative analysis of US and China

This study examines the asymmetric effects of mineral resources (oil, coal, and gas), digitalization, and energy uncertainty on economic growth in China and the USA. Using quarterly data from 2000 to 2022, we employ the nonlinear autoregressive distributed lag (NARDL) model to analyze these relationships. The study begins by conducting unit root tests, cointegration analysis, and asymmetry tests to establish robust connections between the variables. The long- and short-run results confirm the presence of asymmetry, as positive and negative shocks in oil rents, digitalization, and energy uncertainty affect economic growth differently. Notably, positive shocks in oil rents and digitalization favour economic growth, indicating that increases in oil rents and digital inclusion contribute to economic development. Conversely, positive shocks in energy uncertainty tend to reduce economic growth. Interestingly, the findings for China and the USA show similar asymmetric patterns; coal and natural gas rents positively influence economic growth, while the control variables suggest that capital and labour increase contribute to both countries' development. The error correction terms, 0.731 (73.1%) for China and 0.625 (62.5%) for the USA, indicate the annual rate at which asymmetric discrepancies are corrected. All diagnostic tests confirm the suitability of the NARDL model for this study. Finally, the study reveals significant bi-directional causality among all pairs of variables.

Effectiveness of Psychosocial Interventions in Preventing Postpartum Depression Among Teenage Mothers-Systematic Review and Meta-analysis of Randomized Controlled Trials.

Postpartum depression is a significant public health issue that occurs within the first 12weeks after childbirth. It is more prevalent among teenage mothers compared to adults. However, the findings of the existing interventional studies cannot be readily applied to teenage mothers due to their unique psychosocial concerns. Furthermore, these findings have shown inconsistencies regarding the benefit of psychological and psychosocial interventions in reducing the incidence of postpartum depression. The current review is aimed at investigating the effectiveness of psychosocial interventions in preventing postpartum depression, specifically among teenage mothers. The preferred reporting items for systematic reviews and meta-analysis manuals were utilized to identify and select relevant articles for this review. The articles were retrieved using population, intervention, control, and outcome models. The quality of each article was assessed using the Cochrane risk of bias tool. Statistical analysis was conducted using STATA version 17. The effect size of the intervention was estimated using the standard mean difference in depression scores between the intervention and control groups. Heterogeneity among the studies was assessed using the I2 statistic and Q statistic, while publication bias was evaluated through funnel plot asymmetry and Egger's test. A total of nine eligible articles were included. While psychosocial interventions have been demonstrated to decrease the incidence of postpartum depression compared to usual maternal health care, it is worth noting that the mean difference in depression scores was significant in only three of the included studies. The meta-analysis revealed that psychosocial interventions were effective at preventing postpartum depression, with a pooled effect size of - 0.5 (95% CI: - 0.95, - 0.06) during the final postpartum depression assessment. The heterogeneity was substantial, with an I2 value of 82.3%. Although publication bias was not observed, small studies had a significant effect on the pooled effect size. The findings of this review suggest that psychosocial interventions can effectively prevent PPD, particularly within the first 3months of the postpartum period. This review highlights the scarcity of interventional studies in low-income countries, indicating the need for further research in diverse communities.

Association of human papillomavirus 16 and 18 with ovarian cancer risk: Insights from a meta‑analysis.

Ovarian cancer (OC) presents a global health challenge, with well-documented genetic aspects. However, to the best of our knowledge, the role of human papillomavirus (HPV) types 16 and 18 in OC remains unclear. The present meta-analysis assessed the prevalence of HPV in OC across 43 studies and included a comparative meta-analysis of 19 case-control studies to determine the association of HPV with OC risk. Subgroup analyses were performed based on geographic regions and histopathological types to explore heterogeneity, and publication bias was evaluated using funnel plots and statistical tests of asymmetry. The pooled prevalence of HPV was found to be 10% (95% CI, 5-18) and 7% (95% CI, 3-15) specifically for HPV 16/18. Case-control studies indicated an odds ratio (OR) of 4.92 (95% CI, 1.96-12.53) for HPV 16/18, with higher pooled prevalence rates of 17% for all HPV genotypes and 13% for HPV 16/18. Notably, Asian countries exhibited the highest HPV prevalence and OR in OC. These findings support the involvement of HPV, particularly HPV 16 and 18, in increasing the risk of OC, emphasizing the need for further research to confirm these associations and explore potential mechanisms.

Comparing the diagnostic efficacy of [18F]FDG PET/CT and MRI in the initial diagnosis of ovarian cancer: a meta-analysis.

This meta-analysis was conducted to assess the relative diagnostic effectiveness of [18F]FDG PET/CT and MRI in the initial detection of ovarian cancer. A thorough literature search was conducted using PubMed, Embase, and Web of Science databases to locate relevant studies published up to April 2024. The selected studies were those that evaluated diagnostic performance of [18F]FDG PET/CT and MRI for the initial detection of ovarian cancer. Sensitivity and specificity metrics were analyzed employing the DerSimonian and Laird random-effects model, with further transformation utilizing the Freeman-Tukey double arcsine method. The quality of included studies was appraised using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. The meta-analysis included 23 articles encompassing a total of 1973 patients. The sensitivity of [18F]FDG PET/CT was found to be higher than that of MRI (0.94 vs. 0.87, P = 0.02). In terms of specificity, [18F]FDG PET/CT and MRI demonstrated similar values (0.87 vs. 0.86, P = 0.90). An assessment of publication bias using the funnel plot asymmetry test revealed no significant bias for any outcomes (Egger's test: all P > 0.05). Our meta-analysis reveals that [18F]FDG PET/CT exhibits higher sensitivity while maintaining similar specificity compared to MRI for the initial detection of ovarian cancer. However, the substantial heterogeneity observed across studies may influence these findings. Consequently, larger-scale prospective studies are necessary to validate these results.

Blood-based microRNAs as Potential Diagnostic Biomarkers for Melanoma: A Meta-Analysis.

Circulating microRNAs (miRNAs) serve as noninvasive diagnostic markers in many cancers. This meta-analysis aims to evaluate the diagnostic efficacy of circulating microRNAs for melanoma. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and ROC curve were evaluated using the Meta-Disc V.1.4 and Comprehensive Meta-Analysis V.3.3 software packages. To investigate the heterogeneity, the I2 and Chi-square tests were used. The publishing bias was evaluated using Begg's rank correlation and Egger regression asymmetry tests. A total of 9 articles covering 13 studies (more than 50 miRs individually and in combination) were included, containing 1,355 participants (878 cases and 477 controls). The overall pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and AUC were 0.78 (95% CI: 0.76-0.81), 0.80 (95% CI: 0.77-0.83), 4.32 (95% CI: 3.21-5.82), 0.17 (95% CI: 0.09-0.32), 28.0 (95% CI: 15.34-51.09), and 0.91, respectively. According to Begg's and Egger's tests, there was no publication bias (Begg's p = 0.160 and Egger's p = 0.289). Circulating miRNAs can serve as fair and non-invasive diagnostic biomarkers for melanoma. Additionally, specific miRNAs still need to be discovered for diagnosing melanoma.

Meta-analysis of the diagnostic value of functional magnetic resonance imaging for distinguishing unresponsive wakefulness syndrome/vegetative state and minimally conscious state.

Unresponsive wakefulness syndrome/vegetative state (UWS/VS) and minimally conscious state (MCS) are considered different clinical entities, but their differential diagnosis remains challenging. As a potential clinical tool, functional magnetic resonance imaging (fMRI) could detect residual awareness without the need for the patients' actual motor responses. This study aimed to investigate the diagnostic value of fMRI for distinguishing between UWS/VS and MCS through a meta-analysis of the existing studies. We conducted a comprehensive search (from the database creation date to November. 2023) for relevant English articles on fMRI for the differential diagnosis of UWS/VS and MCS. The pooled sensitivity, specificity, positive likelihood ratio (LR+), negative likelihood ratio (LR-), summary receiver operating characteristic (SROC) curve, and area under the curve (AUC) were calculated to assess the diagnostic value of fMRI in distinguishing between UWS/VS and MCS. The statistical I 2 test was used to assess heterogeneity, and the source of heterogeneity was investigated by performing a meta-regression analysis. Publication bias was assessed using the Deeks funnel plot asymmetry test. Ten studies were included in the meta-analysis. The pooled sensitivity and specificity were 0.71 (95% CI 0.62-0.79) and 0.71 (95% CI 0.54-0.84), respectively. The fMRI for the differential diagnosis of UWS/VS and MCS has a moderate positive likelihood ratio (2.5) and a relatively low negative likelihood ratio (0.40). Additionally, SROC curves showed that the AUC was 0.76 (95% CI 0.72-0.80). Functional magnetic resonance imaging has a good performance in the differential diagnosis of UWS/VS and MCS, and may provide a potential tool for evaluating the prognosis and guiding the rehabilitation therapy in patients with disorders of consciousness.

The superior mesenteric artery angle in diagnosis of nutcracker syndrome: a systematic review and meta-analysis.

Nutcracker syndrome (NCS) can be caused by narrowness of the superior mesenteric artery (SMA) angle. Nevertheless, the cut-off value of the SMA angle is controversial and variable. Therefore, the present study evaluated the optimal SMA angle to maximize diagnostic performance for NCS diagnosis by conducting a meta-analysis. We comprehensively searched the English literature related to the diagnosis of NCS from the perspective of SMA (from the date of database inception to June 2022). The accuracy of an SMA angle less than 41° in the diagnosis of NCS was evaluated by calculating the pooled sensitivity (SEN), pooled specificity (SPE), positive likelihood ratio (LR+), negative likelihood ratio (LR-), summary receiver operating characteristic (SROC) curve and area under the curve (AUC) value. The I2 test and meta-regression analysis were used to assess heterogeneity and sources of heterogeneity, respectively. Publication bias was assessed using Deeks' funnel plot asymmetry test. Six studies (526 patients) met the inclusion criteria. SEN and SPE were 0.94 (95% confidence interval (CI) 0.80-0.99) and 0.85 (95% CI 0.65-0.94), respectively. The LR + value was 6.0, and the LR- value was 0.07, revealing that SMA angles less than 41° exhibited an excellent ability to help confirm or exclude NCS. Additionally, SROC curves showed that the AUC of SMA angles less than 41° for the diagnosis of NCS was 0.96, indicating that SMA angles less than 41° have good efficacy for helping to diagnose NCS. This study explored the diagnostic efficacy of the cut-off value of the SMA angle by meta-analysis. According to the high SPE and SEN results, SMA angles less than 41° have good efficacy in facilitating NCS diagnosis.

Dairy Consumption and Inflammatory Bowel Disease among Arab Adults: A Case-Control Study and Meta-Analysis.

Inflammatory bowel disease (IBD), which includes ulcerative colitis (UC) and Crohn's disease (CD), is a complex disease with increasing global incidence and prevalence. Although dairy consumption has been linked to various chronic diseases, its relationship with IBD remains uncertain. Additionally, there is a lack of data on this topic from Arab countries. This study aimed to investigate the association between dairy consumption and IBD through a case-control study among Arab populations, followed by a meta-analysis of available studies. First, we used data from 158 UC patients, 244 CD patients, and 395 controls attending a polyclinic in Riyadh, Saudi Arabia. All participants were aged ≥ 18 years. Logistic regression was used to calculate the odds ratios (ORs) and 95% confidence intervals (95% CIs) of UC and CD for individuals who reported the highest versus the lowest frequencies of dairy consumption. Next, we conducted a meta-analysis, combining our results with those from other eligible studies after searching several databases. We used the I2 statistics to examine statistical heterogeneity across studies and the regression test for funnel plot asymmetry to assess publication bias. The case-control study showed a negative association between frequent dairy consumption and UC (OR (95% CI) = 0.64 (0.41, 1.00)) but not CD (OR (95% CI) = 0.97 (0.65, 1.45)). In the meta-analysis, the highest frequencies of dairy consumption were negatively associated with both UC and CD: ORs (95% CIs) = 0.82 (0.68, 0.98) and 0.72 (0.59, 0.87), respectively. A moderate heterogeneity across studies was noticed in the UC meta-analysis (I2 = 59.58%) and the CD meta-analysis (I2 = 41.16%). No publication bias was detected. Frequent dairy consumption could protect against the development of UC and CD, suggesting potential dietary recommendations in the context of IBD prevention.

The Use of the Perfusion Index to Predict Post-Induction Hypotension in Patients Undergoing General Anesthesia: A Systematic Review and Meta-Analysis.

Post-induction hypotension (PIH) is a common and potentially serious complication of general anesthesia. This meta-analysis (Prospero registration number: CRD42024566321) aimed to evaluate the predictive efficacy of the perfusion index (PI) for PIH in patients undergoing general anesthesia. A comprehensive literature search was performed using multiple electronic databases (Google Scholar, EMBASE, Cochrane Library, and MEDLINE). Studies involving adult patients undergoing general anesthesia, with the PI measured before anesthesia induction and reporting PIH incidence, were included. The primary outcome was the diagnostic accuracy of the PI in predicting the probability of PIH. The secondary outcome was the pooled PIH incidence. Eight studies with 678 patients were included. The pooled incidence of PIH was 44.8% (95% confidence interval [CI]: 29.9%-60.8%). The combined sensitivity and specificity of the PI for predicting PIH were 0.84 (95% CI: 0.65-0.94) and 0.82 (95% CI: 0.70-0.90), respectively. The summary receiver operating characteristic (sROC) analysis revealed an area under curve of 0.89 (95% CI: 0.86-0.92). The Deek's funnel plot asymmetry test indicated no significant publication bias. The PI demonstrates high predictive efficacy for PIH in patients undergoing general anesthesia, indicating that it can be a valuable tool for identifying those at risk of PIH.

Diagnostic Value of Hepcidin in Sepsis: A Systematic Review and Meta-Analysis.

Objectives: To investigate the diagnostic value of hepcidin for sepsis diagnosis. Methods: The relevant literature on hepcidin for sepsis diagnosis published up to October 20, 2023, was systematically searched in the Web of Science, PubMed, Embase, and China Knowledge Network databases. Two researchers screened the literature and extracted relevant data according to the inclusion and exclusion criteria. Study quality was evaluated using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Meta-analysis and calculation of sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio were performed using State16 and Review Manager 5.3 software. Furthermore, receiver operating characteristic curve (ROC) was plotted, and the respective area under the curve (AUC) was calculated to assess the accuracy of hepcidin. Publication bias was evaluated using Deeks' funnel plot asymmetry test. Results: Overall, 1047 patients from 8 studies were included (625 patients with sepsis and 422 controls). The quality of the literature was relatively moderate. Meta-analysis demonstrated the presence of heterogeneity in the data (I2 > 50%, P < .05), and a randomized model was employed to combine the diagnostic indicators. Regarding its accuracy for sepsis diagnosis, hepcidin demonstrated a pooled sensitivity of 0.88 (95% confidence interval [CI]: 0.76-0.94) and specificity of 0.91 (95% CI: 0.76-0.97). The diagnostic odds ratio was 69.00 (95% CI: 19.00-253.00), and the ROC curve revealed an AUC of 0.95. Additionally, Deeks' funnel plot asymmetry test demonstrated absence of publication bias. Conclusions: Our meta-analysis suggested that hepcidin has a high diagnostic value in sepsis and may be a valuable diagnostic tool.

Utilization of integrated community-based case management of childhood illness and associated factors in Ethiopia: a systematic review and meta-analysis

BackgroundDespite significant progress being made in reducing under-five mortality, three-fourths of under-five deaths are still caused by preventable conditions such as pneumonia, diarrhea, malaria, and newborn issues. Integrated community case management of childhood illnesses (ICCM) could serve as a means to reduce preventable child mortality in Low- and Middle-Income countries. Our aim was to assess the overall level of ICCM utilization and its associated factors in Ethiopia.MethodsCandidate studies for inclusion in this review were identified through searches across various databases, including PubMed, EMBASE, Google Scholar, and university repositories online databases, spanning from February 1, 2024, to March 18, 2024. The quality assessment of the studies included in this systematic review and meta-analysis was conducted using the Newcastle-Ottawa Quality Assessment Scale (NOS). Data extraction and analysis were carried out using Microsoft Excel and Stata 17 software, respectively. Heterogeneity among the studies was assessed using Cochran’s Q test and I2 statistics, while the presence of publication bias was evaluated through funnel plots and Egger’s regression asymmetry test. Subgroup analysis was performed based on sample size and study site.ResultsIn this study, the pooled level of ICCM utilization was found to be 42.73 (95%, CI 27.65%, 57.80%) based on the evidence obtained from ten primary studies. In this review, parents’ awareness about illness (OR = 2.77, 95%, CI 2.06, 3.74), awareness about ICCM service (OR = 3.64, 95%, CI 2.16, 6.14), perceived severity of the disease (OR = 3.14, 95%, CI 2.33, 4.23), secondary/above level of education (OR = 2.57, 95%, CI 1.39, 4.77), and live within 30 min distance to the health post (OR = 3.93, 95%, CI 2.30, 6.74) were variables significantly associated with utilization of ICCM in Ethiopia.ConclusionThe utilization of ICCM was found to be low in Ethiopia. Factors such as parents’ awareness about the illness, knowledge of ICCM services, perceived severity of the disease, attending a secondary or more level of education, and living within 30 min distance to the health post were significantly associated with the utilization of ICCM. Therefore, it is crucial to focus on creating awareness and improving access to high-quality ICCM services to reduce child morbidity and mortality from preventable causes.

Meta-analysis of the accuracy of the serum procalcitonin diagnostic test for osteomyelitis in children

ObjectiveThis study sought to assess the sensitivity, specificity, and predictive utility of serum procalcitonin (PCT) in the diagnosis of pediatric osteomyelitis.MethodsA systematic computer-based search was conducted for eligible literature focusing on PCT for the diagnosis of osteomyelitis in children. Records were manually screened according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines. Statistical analysis was performed using Review Manager software 5.3, Meta-disc software1.4, STATA 12.0, and R 3.4 software.ResultA total of 5 investigations were included. Of these, 148 children with osteomyelitis were tested for bacterial cultures in PCT. For PCT in the diagnosis of pediatric osteomyelitis, diagnostic meta-analysis revealed a pooled sensitivity and specificity of 0.58 (95% confidence interval (CI): 0.49 to 0.68) and 0.92 (95% CI: 0.90 to 0.93) respectively. The PCT had the greatest area under the curve (AUC) at 0.80 for the diagnosis of osteomyelitis in children. The Deeks’ regression test for asymmetry results indicated that there was no publication bias when evaluating publication bias (P = 0.90).ConcusionThis study provided a comprehensive review of the literature on the use of PCT in pediatric osteomyelitis diagnosis. PCT may be used as a biomarker for osteomyelitis diagnosis; however, its sensitivity was low. It still needs to be validated by a large sample study.

DNA methylation urine test in the diagnosis of upper tract urothelial carcinoma: a systematic review and meta-analysis.

The DNA methylation urine test, a non-invasive early detection method for upper tract urothelial carcinoma (UTUC), is currently in full swing. This study aimed to systematically assess its diagnostic performance on UTUC. PubMed, Scopus, Embase, and Cochrane were our main databases when searching articles published from January 2000 to December 2023. Sensitivity and specificity were study primary endpoints. I2 was used to evaluated heterogeneity, meanwhile subgroup and meta-regression analyses were adopted to investigated the source of heterogeneity. Sensitivity analysis was performed to evaluate the result robustness, while Deeks' funnel plot asymmetry test was for the publication bias. Nine studies with 1326 patients were included. The pooled sensitivity was 0.89 (95% confidence interval (CI), 0.83-0.93) and specificity were 0.91 (95% CI, 0.83-0.96). The area under the receiver operating characteristic curve was 0.96 (95% CI, 0.93-0.97). Substantial heterogeneity was found during the data synthesis, whereas the pooled results remained robust in the sensitivity analysis. None of the potential covariates-urine sample collection method, population, country, methylation test method, or tumor grade-could account for the heterogeneity. DNA methylation urine test is a promising method with high efficiency for UTUC early detection. Nevertheless, owing to the significant heterogeneity, more well-organized studies are warranted to further explore its diagnostic efficiency and application context.

Diabetic dyslipidemia and its predictors among people with diabetes in Ethiopia: systematic review and meta-analysis

BackgroundDyslipidemia is an imbalance of lipid profiles. It increases the chance of clogged arteries and may cause heart attacks, strokes, and other circulatory disorders. Dyslipidemia affects the general population, but its severity is higher in diabetic populations. As a result, the chance of dyslipidemia-associated morbidity and mortality is highest in diabetic patients. In Ethiopia, around 2 to 6.5% of the population live with diabetes, but their lipid profiles are inconsistent across the studies. Therefore, this study aimed to estimate the pooled prevalence of diabetic dyslipidemia and its predictors among people with diabetes in Ethiopia.MethodA systematic review and meta-analysis was conducted. The searches were carried out in MEDLINE via PubMed and OVID, EBSCO, Embase, and other supplementary gateways such as Google and Google Scholar, for articles published up to June 2023. The articles were searched and screened by title (ti), abstract (ab), and full text (ft). The quality of the eligible studies was assessed by the Newcastle–Ottawa scale. The heterogeneity was detected by the Cochrane Q statistic test and the I-squared (I2) test. Then subgroup analysis and meta-regression analysis were used to identify the source of the variations. A random or fixed-effect meta-analysis model was used to estimate the overall pooled prevalence and average effects. The publication bias was assessed by the funnel plot asymmetry test and/or Begg and Mazumdar’s test for rank correlation (p-value < 0.05). The protocol has been registered in an international database, the prospective register of systematic reviews (PROSPERO), with reference number CRD42023441572.ResultA total of 14 articles with 3662 participants were included in this review. The pooled prevalence of diabetic dyslipidemia in Ethiopia was found to be 65.7% (95% confidence interval (CI): 57.5, 73.9), I2 = 97%, and p-value < 0.001. The overall prevalence of triglycerides (TG) and high-density lipoprotein cholesterol (HDL-c) were found to be 51.8% (95% CI: 45.1, 58.6) and 44.2% (95% CI: 32.8, 55.7), respectively, among lipid profiles. In meta-regression analysis, the sample size (p value = 0.01) is the covariate for the variation of the included studies. Being female (adjusted odds ratio (AOR): 3.9, 95% CI: 1.5, 10.1), physical inactivity (AOR: 2.6, 95% CI: 1.5, 4.3), and uncontrolled blood glucose (AOR: 4.2, 95% CI: 1.9, 9.4) were found to be the determinants of dyslipidemia among diabetic patients.ConclusionThis review revealed that the prevalence of diabetic dyslipidemia is high among people with diabetes in Ethiopia. Being female, having physical inactivity, and having uncontrolled blood glucose were found to be predictors of dyslipidemia among people with diabetes. Therefore, regular screening of lipid profiles and the provision of lipid-lowering agents should be strengthened to reduce life-threatening cardiovascular complications. Furthermore, interventions based on lifestyle modifications, such as regular physical activity and adequate blood glucose control, need to be encouraged.

Evaluating the diagnostic accuracy of microRNA-494 as a biomarker in cancers: A systematic review and meta-analysis

Abstract MicroRNA-494 (miR-494) has emerged as a potential diagnostic biomarker for cancer detection, but conflicting reports have led to uncertainty regarding its clinical utility. This study aims to address these discrepancies by conducting a comprehensive meta-analysis of miR-494 diagnostic performance across various cancer types. A comprehensive literature search was performed across multiple databases, including PubMed, Web of Science, Wanfang databases, and CNKI (China National Knowledge Infrastructure), with a cutoff date of April 23, 2024. Eligible studies were identified using predefined inclusion criteria and various search strategies to ensure a thorough coverage of the available evidence. To evaluate the diagnostic performance of miR-494 in cancer detection, relevant measures such as sensitivity, specificity, and other diagnostic accuracy indicators were extracted from the included studies. These data were synthesized using bivariate meta-analysis models to generate pooled estimates of miR-494 diagnostic performance. All statistical analyses were conducted using the STATA 16.0 software. This meta-analysis pooled data from 8 studies, comprising a total of 647 cancer cases and 407 healthy controls. The aggregated diagnostic performance of miR-494 was as follows: a sensitivity of 0.67 (95% confidence interval [CI], 0.52–0.80), a specificity of 0.85 (95% CI, 0.77–0.91), and an area under the curve of 0.86 (95% CI, 0.82–0.88), indicating good overall diagnostic accuracy. The diagnostic odds ratio (DOR) was 12.11 (95% CI, 7–21), suggesting that miR-494 has strong discriminatory power in distinguishing cancer patients from healthy individuals. The positive likelihood ratio of 4.62 (95% CI, 3.1–6.8) and negative likelihood ratio of 0.38 (95% CI, 0.26–0.56) further support the diagnostic utility of miR-494. Deeks’ funnel plot asymmetry test was employed to assess potential publication bias, yielding a P value of 0.50, which suggests the absence of significant bias in the included studies. The meta-analysis results suggest that miR-494 exhibits promising diagnostic performance in detecting cancer, with moderate accuracy. The pooled sensitivity, specificity, and high area under the receiver operating characteristic curve highlight its potential as a cancer biomarker, indicating its utility in early detection and accurate diagnosis.

The American College of Radiology contrast-enhanced ultrasound Liver Imaging Reporting and Data System and its modified version in diagnosing hepatocellular carcinoma via Sonazoid: a meta-analysis.

The American College of Radiology (ACR) developed the contrast-enhanced ultrasound (CEUS) Liver Imaging Reporting and Data System (LI-RADS) for pure blood contrast agents, but Sonazoid was not included. Modifications to LI-RADS have been proposed for Sonazoid. The purpose of this meta-analysis was to identify and compare the diagnostic efficacy of the two LI-RADS algorithms of Sonazoid. We searched the PubMed, MEDLINE, Web of Science, Embase, and Cochrane Library databases from databases inception to August 31, 2023, to find original studies on the ACR LI-RADS and/or modified LI-RADS algorithm with Sonazoid used as the contrast agent in patients with high-risk hepatocellular carcinoma (HCC). A bivariate random-effects model was used. Data pooling, meta-regression, and sensitivity analysis were performed for meta-analysis. The Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool was used to assess the methodological quality, and the Deeks funnel plot asymmetry test was used to evaluate the publication bias. A meta-analysis of 10 studies with 1,611 observations was conducted. The pooled data for ACR LI-RADS category 5 (LR-5) and modified LR-5 were respectively as follows: pooled sensitivity, 0.70 [95% confidence interval (CI): 0.64-0.75] and 0.81 (95% CI: 0.76-0.86) (P<0.05); pooled specificity, 0.90 (95% CI: 0.82-0.94) and 0.87 (95% CI: 0.81-0.91) (P>0.05); and pooled area under the summary receiver operating characteristic curve, 0.84 and 0.91. The diagnostic performance of LI-RADS category M (LR-M) of the two algorithms was comparable. Study heterogeneity was observed. The results indicated that modified LR-5 algorithm demonstrated improved diagnostic sensitivity compared with the ACR LR-5 algorithm of Sonazoid, with differences observed between the different versions. Further research is needed to validate and explore the optimal diagnostic criteria for HCC using Sonazoid. Before the database search was conducted, this study was registered on PROSPERO (International Prospective Register of Systematic Reviews; CRD42023455220).

Long non-coding RNA as potential diagnostic markers for acute myeloid leukemia: A systematic review and meta-analysis.

Acute myeloid leukemia (AML) is aggressive type of hematological malignancy. Its poses challenges in early diagnosis, necessitating the identification of an effective biomarker. This study aims to assess the diagnostic accuracy of long noncoding RNAs (lncRNA) in the diagnosis of AML through a meta-analysis. The study is registered on the PROSPERO website with the number 493518. A literature search was conducted in the PubMed, Embase, Hinari, and the Scopus databases to identify relevant studies. We pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the summary receiver operating characteristics (ROC) using Stata 14.1 software. Heterogeneity between studies was determined through the I2 statistic and Cochran-Q test. A random effect model was chosen due to significant heterogeneity among included studies. Meta-regression and subgroup analysis were performed to assess the potential source of heterogeneity. Furthermore, potential publication bias was estimated using Deek's funnel plot asymmetry test. A total of 14 articles covering 19 studies were included in this meta-analysis comprising 1588 AML patients and 529 healthy participants. The overall pooled sensitivity, specificity, PLR, NLR, DOR, and the area under the summary ROC curve were 0.85 (95% CI = 0.78-0.91), 0.82 (95% CI = 0.72-0.89), 4.7 (95% CI = 2.9-7.4), 0.18 (95% CI = 0.12-0.28), 26 (95% CI = 12-53), and 0.90 (95% CI = 0.87-0.93), respectively. Moreover, lncRNAs from non-bone marrow mononuclear cells (BMMC) had superior diagnostic value with pooled sensitivity, specificity, and AUC were 0.93, 0.82, and 0.95, respectively. This meta-analysis demonstrated that circulating lncRNAs can serve as potential diagnostic markers for AML. High accuracy of diagnosis was observed in non-BMMC lncRNAs, given cutoff value, and the GADPH internal reference gene used. However, further studies with large sample size are required to confirm our results.