Sources Of Heterogeneity Research Articles

Prevalence of nonalcoholic fatty liver disease in patients with hepatitis B: A meta-analysis.

The prevalence of nonalcoholic fatty liver disease (NAFLD) in patients with chronic hepatitis B (CHB) has increased in recent clinical practice; however, the relationship between CHB and hepatic steatosis (HS) remains controversial. To shed light on the potential association between NAFLD and hepatitis B virus (HBV) infection. We conducted a systematic literature search using multiple databases, including PubMed, the Cochrane Library, Web of Science, and EMBASE, to identify relevant studies. Predefined inclusion criteria were used to determine the eligibility of the studies for further analysis. Comprehensive meta-analysis software was used for statistical analysis, which covered 20 studies. The results indicated a lower NAFLD susceptibility in HBV-infected individuals (pooled OR = 0.87; 95%CI = 0.69-1.08; I 2 = 91.1%), with diabetes (P = 0.015), body mass index (BMI; P = 0.010), and possibly age (P = 0.061) as heterogeneity sources. Of note, in four studies (6197 HBV patients), HBV-infected individuals had a reduced NAFLD risk (OR = 0.68, 95%CI = 0.51-0.89, P = 0.006). A positive link between hyperlipidemia and metabolic syndrome emerged in hepatitis B patients, along with specific biochemical indicators, including BMI, creatinine, uric acid, fasting blood glucose, and homeostasis model assessment of insulin resistance. HBV infection may provide protection against HS; however, the occurrence of HS in patients with HBV infection is associated with metabolic syndrome and specific biochemical parameters.

Muscarinic receptor agonists in animal models of psychosis: protocol for a systematic review and meta-analysis

Background Muscarinic receptor agonism is a promising mechanism of action for treating psychosis, not present in most D2R-blocking antipsychotics. Xanomeline, an M1/M4-preferring agonist, has shown efficacy in late-stage clinical trials, with more compounds being investigated. Therefore, we aim to synthesize evidence on the preclinical efficacy of muscarinic receptor agonists in animal models of psychosis to provide unique insights and evidence-based information to guide drug development. Methods We plan a systematic review and meta-analysis of in vivo animal studies comparing muscarinic receptor agonists or positive allosteric modulators with control conditions and existing D2R-blocking antipsychotics in animals subjected to any method that induces behavioural changes of relevance for psychosis. We will identify eligible studies by searching multiple electronic databases. At least two independent reviewers will conduct the study selection and data extraction using prespecified forms and assess the risk of bias with the SYRCLE’s tool. Our primary outcomes include locomotor activity and prepulse inhibition measured with standardized mean differences. We will examine other behavioural readouts of relevance for psychosis as secondary outcomes, such as social interaction and cognitive function. We will synthesize the data using multi-level meta-analysis with a predefined random-effects structure, considering the non-independence of the data. In meta-regressions we will explore potential sources of heterogeneity from a predefined list of characteristics of the animal population, model, and intervention. We will assess the confidence in the evidence considering a self-developed instrument thatconsiders the internal and external validity of the evidence. Protocol registration PROSPERO-ID: CRD42024520914

The prognostic role of palliative gastrectomy in advanced gastric cancer: a systematic review and meta-analysis

BackgroundThe effectiveness of palliative gastrectomy for advanced GC remains a topic of debate. This study sought to establish whether palliative gastrectomy has an impact on prolonging survival.MethodsWe carried out systematic searches in PubMed, Cochrane Library, Web of Science, and the EMBASE databases from database inception to July 2023 to gather studies that examined the connection between palliative gastrectomy and the prognosis of advanced GC. The study employed overall survival as the primary outcome, with the hazard ratio serving as the selected parameter to gauge the association. Subgroup analyses were performed to delve into potential differences within the included studies, categorizing them by study region and sample size in order to examine possible sources of heterogeneity. The stability of individual studies was assessed through sensitivity analysis. The analysis included 20 articles, encompassing a total of 23,061 patients.ResultsAccording to the meta-analysis results, patients who underwent palliative gastrectomy exhibited a noteworthy enhancement in overall survival (HR: 1.49; 95% CI: 1.12–1.99; P = 0.006) in comparison to those who did not receive this procedure. There was no association between the type of surgery and the length of hospital stay, as revealed by the analysis (HR = -0.02; 95% CI: -0.84–0.81; P = 0.970).ConclusionsBased on this meta-analysis, patients with advanced gastric cancer who underwent palliative gastrectomy may experience an extended survival duration without a significant prolongation of their hospitalization.

An international study presenting a federated learning AI platform for pediatric brain tumors

While multiple factors impact disease, artificial intelligence (AI) studies in medicine often use small, non-diverse patient cohorts due to data sharing and privacy issues. Federated learning (FL) has emerged as a solution, enabling training across hospitals without direct data sharing. Here, we present FL-PedBrain, an FL platform for pediatric posterior fossa brain tumors, and evaluate its performance on a diverse, realistic, multi-center cohort. Pediatric brain tumors were targeted due to the scarcity of such datasets, even in tertiary care hospitals. Our platform orchestrates federated training for joint tumor classification and segmentation across 19 international sites. FL-PedBrain exhibits less than a 1.5% decrease in classification and a 3% reduction in segmentation performance compared to centralized data training. FL boosts segmentation performance by 20 to 30% on three external, out-of-network sites. Finally, we explore the sources of data heterogeneity and examine FL robustness in real-world scenarios with data imbalances.

Association of variant vitamin statuses and tuberculosis development: a systematic review and meta-analysis

Background Several studies have suggested an association between vitamin deficiency and the development of tuberculosis; however, the precise impact remains unclear. This study aimed to elucidate the relationship between distinct vitamin statuses and the occurrence of tuberculosis. Materials and methods Retrieval was conducted using several databases without language restrictions to capture the eligible studies on tuberculosis and vitamin status. Pooled odds ratios (ORs), relative risks (RRs), and hazard ratios (HRs) were used with 95% confidence intervals (CIs) to clarify the relationship between the different vitamin statuses (A, B, D, and E) and the occurrence of tuberculosis. Subgroup analysis, sensitivity analysis, meta-regression analysis, and Galbraith plot were performed to determine sources of heterogeneity. Potential publication biases were detected using Begg’s test, Egger’s test, and the trim-and-fill test. Results We identified 10,266 original records from our database searches, and 69 eligible studies were considered in this study. The random-effect model showed that people with tuberculosis may exhibit vitamin A deficiency (OR = 10.66, 95%CI: 2.61–43.63, p = .001), while limited cohort studies showed that vitamin A supplementation may reduce tuberculosis occurrence. Additionally, vitamin D deficiency was identified as a risk factor for tuberculosis development (RR = 1.69, 95%CI: 1.06–2.67, p = .026), and people with tuberculosis generally had lower vitamin D levels (OR = 2.19, 95%CI: 1.76–2.73, p < .001) compared to other groups. No publication bias was detected. Conclusions This meta-analysis indicated that people with tuberculosis exhibited low levels of vitamins A and D, while vitamin D deficiency was identified as a risk factor for tuberculosis. More randomized controlled interventions at the community levels should be recommended to determine the association between specific vitamin supplementation and tuberculosis onset.

Diagnostic accuracy of CT and PET/CT radiomics in predicting lymph node metastasis in non-small cell lung cancer.

This study evaluates the accuracy of radiomics in predicting lymph node metastasis in non-small cell lung cancer, which is crucial for patient management and prognosis. Adhering to PRISMA and AMSTAR guidelines, we systematically reviewed literature from March 2012 to December 2023 using databases including PubMed, Web of Science, and Embase. Radiomics studies utilizing computed tomography (CT) and positron emission tomography (PET)/CT imaging were included. The quality of studies was appraised with QUADAS-2 and RQS tools, and the TRIPOD checklist assessed model transparency. Sensitivity, specificity, and AUC values were synthesized to determine diagnostic performance, with subgroup and sensitivity analyses probing heterogeneity and a Fagan plot evaluating clinical applicability. Our analysis incorporated 42 cohorts from 22 studies. CT-based radiomics demonstrated a sensitivity of 0.84 (95% CI: 0.79-0.88, p < 0.01) and specificity of 0.82 (95% CI: 0.75-0.87, p < 0.01), with an AUC of 0.90 (95% CI: 0.87-0.92), indicating no publication bias (p-value = 0.54 > 0.05). PET/CT radiomics showed a sensitivity of 0.82 (95% CI: 0.76-0.86, p < 0.01) and specificity of 0.86 (95% CI: 0.81-0.90, p < 0.01), with an AUC of 0.90 (95% CI: 0.87-0.93), with a slight publication bias (p-value = 0.03 < 0.05). Despite high clinical utility, subgroup analysis did not clarify heterogeneity sources, suggesting influences from possible factors like lymph node location and small subgroup sizes. Radiomics models show accuracy in predicting lung cancer lymph node metastasis, yet further validation with larger, multi-center studies is necessary. Radiomics models using CT and PET/CT imaging may improve the prediction of lung cancer lymph node metastasis, aiding personalized treatment strategies. International Prospective Register of Systematic Reviews (PROSPERO), CRD42023494701. This study has been registered on the PROSPERO platform with a registration date of 18 December 2023. https://www.crd.york.ac.uk/prospero/ KEY POINTS: The study explores radiomics for lung cancer lymph node metastasis detection, impacting surgery and prognosis. Radiomics improves the accuracy of lymph node metastasis prediction in lung cancer. Radiomics can aid in the prediction of lymph node metastasis in lung cancer and personalized treatment.

Diagnostic Value of Neutrophil-Lymphocyte Ratio in Predicting Post-Operative Infection after Orthopedic Surgery: A Systematic Review and Meta-Analysis.

Objective: This study aims to evaluate the predictive value of neutrophil-lymphocyte ratio (NLR) in determining infection after orthopedic surgery. Methods: A comprehensive search was conducted in PubMed, EBASE, CNKI, and Wanfang databases to identify relevant studies. The quality of the included studies was assessed using QUADAS-2. Data extraction was performed to calculate sensitivity, specificity, and other indicators. Bivariate mixed-effects meta-analysis was conducted using Stata software. The sources of heterogeneity were evaluated, and a summary receiver operating characteristic curve was generated. Results: A total of 16 literatures comprising 18 studies involving 3737 patients were included in this analysis. NLR demonstrated moderate sensitivity (0.77) and specificity (0.69) in diagnosing orthopedic post-operative infection, with an area under the curve of 0.80 and diagnostic odds ratio of 7.76. Significant heterogeneity was observed among the studies, primarily due to variations in surgical type, infection type, blood test timing, and NLR cutoff value. Fagan nomogram indicated that NLR could increase the positive posterior probability to 72% and decrease the negative posterior probability to 25%. The pooled effect of the likelihood ratio dot plot for diagnosis fell in the lower right quadrant. Deek funnel plot suggested no publication bias in this study. Conclusion: NLR holds certain value in diagnosing infection after orthopedic surgery and can provide additional information to assess the risk of infection. However, its predictive performance is influenced by various factors, and it cannot be used as a sole criterion for confirming the diagnosis. Prospective studies should be conducted in the future to optimize the diagnostic threshold and explore its combination with other indicators.

Prevalence of stroke in Bangladesh: A systematic review and meta-analysis

BackgroundStroke is a major health concern in Bangladesh due to its high incidence and effect on rates of morbidity and death. The morbidity due to stroke in Bangladesh is indeed increasing. This study aimed to find the pooled prevalence of stroke in Bangladesh. MethodsAn extensive search was conducted using PubMed, MEDLINE, and Google Scholar databases. I2 and Q-tests were employed to evaluate the heterogeneity. A random-effects model and subgroup analysis were performed due to the significant heterogeneity. We used Egger's test and funnel plot to look at publication bias. Meta-regression was carried out to analyze how different study variables influenced the effect estimates and to explore sources of heterogeneity across studies. The GRADE approach was used to evaluate the overall quality of the evidence, and the Joanna Briggs Institute tool was used to assess the risk of bias. Sensitivity analysis was conducted to evaluate the robustness of the meta-analysis results. STATA version 17 was used for analysis. ResultsWe selected eleven (n = 1577293) studies that met the inclusion criteria for the final synthesis. In Bangladesh, the overall pooled prevalence of stroke was 1.10 % (95 % CI: 0.70–1.51). Subgroup analysis showed that the prevalence of stroke was 1.14 % (95 % CI: 0.58–1.70) from 2005 to 2014 and 1.04 % (95 % CI: 0.40–1.68) from 2015 to 2024. ConclusionStroke prevalence in Bangladesh is significantly high. The country's healthcare system faces adequate stroke prevention and treatment challenges. Improving healthcare services and public health education are crucial to addressing this increasing public health issue.

The prevalence of presbyphagia in older adults: asystematic review and meta-analysis.

Presbyphagia is defined as structural, physiological and innervational alterations in the swallowing process as aresult of aging and is considered to be involved in the etiology of dysphagia. This systematic review and meta-analysis aimed to estimate the prevalence of presbyphagia in older adults without disease-related dysphagia. In this study five databases were searched in October 2023 with no time limitation. Combined effect sizes of presbyphagia prevalence were calculated using random effect models. Meta-regression and subgroup analyses were conducted to identify sources of heterogeneity. Egger's test and afunnel plot were employed to examine publication bias. Atotal of 19studies were selected for analysis. Overall, the prevalence of presbyphagia in older adults was 30.8% (95% confidence interval [CI] 24.8-36.7%). Publication bias was adjusted for using the fill-and-trim method and the corrected pooled prevalence of presbyphagia was 17.3% (95% CI 11.0-23.6%). In addition, the meta-regression findings revealed that the assessment tool had significant effects upon heterogeneity. Although the pooled prevalence of presbyphagia in older adults was 17.3%, the lack of large representative studies limited the interpretation of these findings. In the future, further large studies that diagnose presbyphagia using standardized assessment tools would facilitate new avenues to reduce the risk of dysphagia in older adults.

Health state utility values in patients with Ankylosing Spondylitis: a systematic review and meta-analysis.

Ankylosing spondylitis (AS) is a chronic condition that requires lifelong treatment and results in a serious disease burden. Health state utility values (HSUVs) are a valuable tool for quantifying this burden and conducting cost-utility analysis. We conducted a systematic review and meta-analysis to obtain estimates of HSUVs in patients with AS, explored potential sources of heterogeneity, and compared pooled patient HSUVs with population norms. We searched PubMed, Embase, Web of science, Cochrane database and Scopus until July, 2023 to obtain eligible studies. The methodological quality of the included studies was assessed using the ROBINS-I checklist. Forty-two publications involving 11,354 participants were included in this systematic review. The most commonly used instrument is the EQ-5D (38 studies). The estimated HSUVs for patients with AS from all available studies was pooled as 0.62 (95% CI 0.59 to 0.65). The pooled mean utility estimates from the random effects meta-analysis for SF-6D, EQ-5D-3L, EQ-5D-5L, and HUI3 were 0.65 (95% CI 0.62,0.68), 0.63 (95% CI 0.59,0.66), 0.60 (95% CI 0.42,0.79), and 0.48 (95% CI 0.43,0.53), respectively. For the EQ-5D-3L we conducted stratified meta-analyses and meta-regression based on key subgroups. The pooled estimates of EQ-5D-3L were lower for patients published before 2010, with high disease activity, long duration of disease, and in developed countries. Pooled estimates of HSUVs for people with AS were substantially lower than population norms. These estimates provide robust evidence that can inform the economic evaluation of new therapies for individuals with AS.

Recovery of Visuospatial Neglect With Standard Treatment: A Systematic Review and Meta-Analysis.

Visuospatial neglect is a common consequence of stroke and is characterized by impaired attention to contralesional space. Currently, the extent and time course of recovery from neglect are not clearly established. This systematic review and meta-analysis aimed to determine the recovery trajectory of poststroke neglect with standard treatment. PsycInfo, Embase, and MEDLINE were searched for articles reporting recovery rates of neglect after stroke. Time since stroke was categorized into early (0-3 months), mid (3-6 months), and late (>6 months) recovery phases. Random-effects models for pooled prevalence were generated for each phase, and potential sources of heterogeneity were explored with metaregressions. Methodological quality of each study was assessed using the Joanna Briggs Institute checklist, with low-quality studies excluded in sensitivity analyses. The search captured 4130 articles including duplicates, and 111 full-text reviews were undertaken. A total of 27 studies reporting data from 839 stroke survivors with neglect were included for review. Meta-analyses indicated a recovery rate of 42% in the early phase, which increased to 53% in the mid-recovery phase. Additional recovery in the late phase was minimal, with an estimated 56% recovery rate. Heterogeneity of studies was high (I2>75%) in all 3 phases of recovery. Estimates were robust to sensitivity analyses. Metaregressions showed significantly greater recovery in studies that included patients with left-hemisphere lesions (β=0.275, P<0.05, I2=84%). Most recovery from neglect occurs in the first 3 months, although additional gains can be expected up to 6 months poststroke. While a large proportion of patients recover from neglect, over 40% show persistent symptoms. Further research is needed on effective rehabilitation interventions, particularly focusing on patients most at risk of chronic visuospatial neglect. URL: https://www.crd.york.ac.uk/PROSPERO/; Unique identifier: CRD42023388763.

Subclinical hyperthyroidism and the risk of dementia: A meta-analysis.

Accumulating evidence suggests that thyroid dysfunction may be related to the risk of dementia. However, previous studies evaluating the association between subclinical hyperthyroidism and the risk of dementia showed inconsistent results. This systematic review and meta-analysis were performed to evaluate the relationship between subclinical hyperthyroidism and the incidence of dementia in the general population. Cohort studies relevant were retrieved by searching the electronic databases including PubMed, Web of Science, and Embase. A random-effects model was used to combine the data by incorporating the influence of between-study heterogeneity. Subgroup and meta-regression analyses were performed to investigate the source of heterogeneity. Nine cohort studies including 49,218 community-derived participants were included. Among them, 3177 (6.5%) had subclinical hyperthyroidism at baseline. During a mean follow-up of 10.2 years, 4044 participants developed dementia. The pooled results showed that compared to the participants with euthyroidism, those with subclinical hyperthyroidism had a higher incidence of dementia (risk ratio: 1.38, 95% confidence interval: 1.09 to 1.74, p=.006; I2=47%). Subgroup analyses according to study design, age of the participants, methods for diagnosis of dementia, or analytic model did not significantly change the results. The univariate meta-regression showed that the cutoff of thyroid-stimulating hormone for defining subclinical hyperthyroidism negatively affected the association between subclinical hyperthyroidism and dementia (coefficient: -1.44, p=.009), which completely explained the heterogeneity (residual I2=0%). Subjects with subclinical hyperthyroidism may have a higher risk of dementia compared to those with euthyroidism.

Impact of dietary inflammatory index on gestational diabetes mellitus in normal and overweight women: a systematic review and meta-analysis of observational studies.

To systematically investigate the association between the dietary inflammatory index (DII) and gestational diabetes mellitus (GDM), with a focus on the role of BMI in this relationship. A comprehensive search was conducted in PubMed, Embase, Web of Science, The Cochrane Library, Medline, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for rele-vant observational studies published up to August 2023. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The pooled effect size was calculated using a random-effects model. Sub-group and meta-regression analyses were performed to explore potential sources of heterogeneity. The study included 54,058 participants from 10 studies. Pregnant women with a higher DII, indicating a pro-inflammatory diet, had a significantly increased risk of GDM compared to those with a lower DII, indicating an anti-inflammatory diet (pooled OR: 1.17, 95% CI: 1.01-1.36; I²=70%, p <0.001). Subgroup analyses revealed a stronger association in normal weight stratification (OR: 1.25, 95%CI: 1.04-1.51), case-control studies (OR: 1.45, 95%CI: 1.03-2.05), Asia (OR: 1.26, 95%CI: 1.10-1.43), Europe (OR: 1.27, 95%CI: 1.09-1.48), 3-day dietary record as a dietary assessment tool (OR: 1.30, 95%CI: 1.16-1.46), physical activity adjustment (OR: 1.28, 95%CI: 1.13-1.46), and energy intake adjustment (OR: 1.33, 95%CI: 1.19-1.48). Meta-regression analysis confirmed that geographical region significantly influenced heterogeneity between studies (p <0.05). An elevated DII is independently linked to a higher risk of GDM, especially in women of normal weight.

Diagnostic Accuracy of AI Algorithms in Aortic Stenosis Screening: A Systematic Review and Meta-Analysis.

Background: Aortic stenosis (AS) is frequently identified at an advanced stage after clinical symptoms appear. The aim of this systematic review and meta-analysis is to evaluate the diagnostic accuracy of artificial intelligence (AI) algorithms for AS screening.Methods: We conducted a thorough search of six databases. Several evaluation parameters, such as sensitivity, specificity, diagnostic odds ratio (DOR), negative likelihood ratio (NLR), positive likelihood ratio (PLR), and area under the curve (AUC) value were employed in the diagnostic meta-analysis of AI-based algorithms for AS screening. The AI algorithms utilized diverse data sources including electrocardiograms (ECG), chest radiographs, auscultation audio files, electronic stethoscope recordings, and cardio-mechanical signals from non-invasive wearable inertial sensors.Results: Of the 295 articles identified, 10 studies met the inclusion criteria. The pooled estimates for AI-based algorithms in diagnosing AS were as follows: sensitivity 0.83 (95% CI: 0.81-0.85), specificity 0.81 (95% CI: 0.79-0.84), PLR 4.78 (95% CI: 3.12-7.32), NLR 0.20 (95% CI: 0.13-0.28), and DOR 27.11 (95% CI: 14.40-51.05). The AUC value was 0.909 (95% CI: 0.889-0.929), indicating outstanding diagnostic accuracy. Subgroup and meta-regression analyses showed that continent, type of AS, data source, and type of AI-based method constituted sources of heterogeneity. Furthermore, we demonstrated proof of publication bias for DOR values analyzed using Egger's regression test (P = 0.002) and a funnel plot.Conclusion: Deep learning approaches represent highly sensitive, feasible, and scalable strategies to identify patients with moderate or severe AS.

Incidence of post-extubation dysphagia among critical care patients undergoing orotracheal intubation: a systematic review and meta-analysis

BackgroundPost-extubation dysphagia (PED) emerges as a frequent complication following endotracheal intubation within the intensive care unit (ICU). PED has been strongly linked to adverse outcomes, including aspiration, pneumonia, malnutrition, heightened mortality rates, and prolonged hospitalization, resulting in escalated healthcare expenditures. Nevertheless, the reported incidence of PED varies substantially across the existing body of literature. Therefore, the principal objective of this review was to provide a comprehensive estimate of PED incidence in ICU patients undergoing orotracheal intubation.MethodsWe searched Embase, PubMed, Web of Science, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang Database, China Science, Technology Journal Database (VIP), and SinoMed databases from inception to August 2023. Two reviewers independently screened studies and extracted data. Subsequently, a random-effects model was employed for meta-statistical analysis utilizing the “meta prop” command within Stata SE version 15.0 to ascertain the incidence of PED. In addition, we performed subgroup analyses and meta-regression to elucidate potential sources of heterogeneity among the included studies.ResultsOf 4144 studies, 30 studies were included in this review. The overall pooled incidence of PED was 36% (95% confidence interval [CI] 29–44%). Subgroup analyses unveiled that the pooled incidence of PED, stratified by assessment time (≤ 3 h, 4–6 h, ≤ 24 h, and ≤ 48 h), was as follows: 31.0% (95% CI 8.0–59.0%), 28% (95% CI 22.0–35.0%), 41% (95% CI 33.0–49.0%), and 49.0% (95% CI 34.0–63.0%), respectively. When sample size was 100 < N ≤ 300, the PED incidence was more close to the overall PED incidence. Meta-regression analysis highlighted that sample size, assessment time and mean intubation time constituted the source of heterogeneity among the included studies.ConclusionThe incidence of PED was high among ICU patients who underwent orotracheal intubation. ICU professionals should raise awareness about PED. In the meantime, it is important to develop guidelines or consensus on the most appropriate PED assessment time and assessment tools to accurately assess the incidence of PED.Graphical abstract

Diagnostic and prognostic role of microRNA-525 in different cancers: a systematic review and meta-analysis.

New prospect of cancer therapeutical management seems to be early diagnosis and prognosis prediction by microRNAs. The aim of our study is to explore the role of miR-525 in cancer diagnosis and prognosis through a systematic review and meta-analysis. We conducted systematic search on PubMed, Embase, Web of Science, Scopus, Medline, Chinese National Knowledge Infrastructure (CNKI) and Wanfang databases as at November 25, 2023, regardless of languages. Sensitivity, specificity, and diagnostic odds ratio (DOR) were extracted for diagnostic meta-analysis, while hazard ratio (HR) with 95% confidence interval (CI) for prognostic meta-analysis. Subgroup analysis and publication bias analysis were performed appropriately to investigate possible sources of heterogeneity. A total of 8 studies were included in the meta-analysis, of which 7 were used for diagnostic meta-analysis, covering 559 patients, and 3 were used for prognostic meta-analysis, covering 324 patients. The pooled sensitivity was 0.75 (95% CI: 0.70-0.79), specificity was 0.73 (95% CI: 0.68-0.78), DOR was 13.08 (95% CI: 4.18-40.91), and the area under the curve (AUC) was 0.86 (95% CI: 0.83-0.89). Subgroup analysis showed that miR-525 may have good diagnostic ability in the early tumor node metastasis (TNM) stage of cancer. Prognostic meta-analysis showed that low miR-525 expression in patients was associated with preferable survival (HR =0.17, 95% CI: 0.07-0.41). Our findings suggest that miR-525 could be used as a potential biomarker for cancer patients. Low expression of miR-525 in cancers predicted a good prognosis.

Prevalence of cerebral visual impairment in developmental and Epileptic Encephalopathies: a systematic review protocol

BackgroundDevelopmental and Epileptic Encephalopathies (DEEs) are defined by drug-resistant seizures and neurodevelopmental disorders. Over 50% of patients have a genetic cause. Studies have shown that patients with DEEs, regardless of genetic diagnosis, experience a central visual function disorder known as Cerebral (cortical) Visual Impairment (CVI). The prevalence of CVI in DEE patients is currently unknown. A quantitative synthesis of existing data on the prevalence rates of this condition would aid in understanding the magnitude of the problem, outlining future research, and suggesting the need for therapeutic strategies for early identification and prevention of the disorder.MethodsThe protocol followed the PRISMA-P statement for systematic review and meta-analysis protocols. The review will adhere to the JBI Manual for Evidence Synthesis (Systematic Reviews of Prevalence and Incidence) and use the CoCoPop framework to establish eligibility criteria. We will conduct a comprehensive search of several databases, including MEDLINE, EMBASE, Science Direct, Scopus, PsychINFO, Wiley, Highwire Press, and Cochrane Library of Systematic Reviews. Our primary focus will be determining the prevalence of cerebral visual impairments (Condition) in patients with developmental and epileptic encephalopathy (Population). To ensure clarity, we will provide a narrative summary of the risk of bias in the studies we include. The Cochrane Q statistic will be used to assess heterogeneity between studies. If the quantitative synthesis includes more than 10 studies, potential sources of heterogeneity will be investigated through subgroup and meta-regression analyses. Meta(bias)es analysis will also be performed. The quality of evidence for all outcomes will be evaluated using the Grading of Recommendations Assessment Development and Evaluation (GRADE) working group methodology.DiscussionThis protocol outlines a systematic review and meta-analysis to identify, collect, evaluate, and integrate epidemiological knowledge related to the prevalence of CVI in patients with DEEs. To the best of our knowledge, no other systematic review and meta-analysis has addressed this specific issue. The results will provide useful information for understanding the extent of the problem, outlining future research, and suggesting the need for early identification strategies.Systematic review registrationsThis Systematic Review Protocol was registered in PROSPERO (CRD42023448910).

Estimating Adverse Events Associated With Herbal Medicines Using Pharmacovigilance Databases: Systematic Review and Meta-Analysis.

Herbal medicines (HMs) are extensively used by consumers/patients worldwide. However, their safety profiles are often poorly reported and characterized. Previous studies have documented adverse events (AEs) associated with HMs, such as hepatotoxicity, renal failure, and allergic reactions. However, the prevalence rate of AEs related to HMs has been reported to be low. To date, no systematic review and meta-analysis has comprehensively analyzed the AEs of HMs using published data acquired from pharmacovigilance (PV) databases. This study aimed to (1) estimate the reporting rate of the AEs of HMs using PV databases and (2) assess the detailed data provided in AE reports. In this systematic review and meta-analysis, MEDLINE/PubMed, SCOPUS, EMBASE, and CINAHL were systematically searched for relevant studies (until December 2023). The DerSimonian-Laird random effects model was used for pooling the data, and subgroup analyses, the meta-regression model, and sensitivity analysis were used to explore the source of heterogeneity. Crombie's checklist was used to evaluate the risk of bias (ROB) of the included studies. In total, 26 studies met the eligibility criteria. The reporting rate of the AEs of HMs ranged considerably, from 0.03% to 29.84%, with a median overall pooled estimate of 1.42% (IQR 1.12%-1.72%). Subgroup analyses combined with the meta-regression model revealed that the reporting rate of the AEs of HMs was associated with the source of the reporter (P=.01). None of the included studies provided full details of suspected herbal products, only the main ingredients were disclosed, and other potentially harmful components were not listed. This systematic review and meta-analysis highlighted risks related to HMs, with a wide range of reporting rates, depending on the source of the reporter. Continuous efforts are necessary to standardize consumer reporting systems in terms of the reporting form, education, and follow-up strategy to improve data quality assurance, aiming to enhance the reliability and utility of PV data for monitoring the safety of HMs. Achieving effective monitoring and reporting of these AEs necessitates collaborative efforts from diverse stakeholders, including patients/consumers, manufacturers, physicians, complementary practitioners, sellers/distributors, and health authorities. PROSPERO (Prospective International Register of Systematic Reviews) CRD42021276492.

A meta-analysis of performance advantages on athletes in multiple object tracking tasks

This study compared the multiple object tracking (MOT) performance of athletes vs. non-athletes and expert athletes vs. novice athletes by systematically reviewing and meta-analyzing the literature. A systematic literature search was conducted using five databases for articles published until July 2024. Healthy people were included, specifically classified as athletes and non-athletes, or experts and novices. Potential sources of heterogeneity were selected using a random-effects model. Moderator analyses were also performed. A total of 23 studies were included in this review. Regarding the overall effect, athletes were significantly better at MOT tasks than non-athletes, and experts performed better than novices. Subgroup analyses showed that expert athletes had a significantly larger effect than novices, and that the type of sport significantly moderated the difference in MOT performance between the two groups. Meta-regression revealed that the number of targets and duration of tracking moderated the differences in performance between experts and novices, but did not affect the differences between athletes and non-athletes. This meta-analysis provides evidence of performance advantages for athletes compared with nonathletes, and experts compared with novices in MOT tasks. Moreover, the two effects were moderated by different factors; therefore, future studies should classify participants more specifically according to sports levels.

Diagnostic laparoscopy for pre-operative selection of patients with known peritoneal carcinomatosis for CRS-HIPEC: A systematic review and meta-analysis

BackgroundPreoperative selection of patients with Peritoneal Carcinomatosis (PC) for Cytoreductive surgery (CRS) with hyperthermic intraperitoneal chemotherapy (HIPEC) is challenging due to associated risks. Diagnostic laparoscopy (DL), an emerging alternative to conventional radiological imaging, has uncertain efficacy. This study aims to evaluate DL's diagnostic performance through a systematic review of available literature. MethodsA comprehensive search of MEDLINE and SCOPUS databases from January 1987 to September 2023 identified studies investigating DL's diagnostic accuracy in selecting PC patients for CRS-HIPEC. Methodological bias assessment and analysis of performance metrics such as positive predictive value (PPV), sensitivity, specificity, and diagnostic odds ratio (DOR) were conducted. Subgroup analyses were performed for primary ovarian cancer studies, and false positive sites were identified. The summary receiver operating characteristic curve (sROC) was plotted to assess overall diagnostic efficacy, with meta-regression conducted to identify sources of heterogeneity across studies. ResultsThis study included 25 studies comprising 3820 patients. Pooled PPV was 93.04 %, with a complication rate of 1.61 %. Pooled sensitivity was 98.26 % and pooled specificity was 83.67 %. The pooled DOR was 139.18, and sROC plot yielded an area under the curve of 0.96. Meta-regression found the ovarian subgroup as a strong source of heterogeneity. Subgroup analysis indicated similar findings in primary ovarian cancer studies, while false positives were commonly observed in the celiac axis, mesentery, ureters and para-aortic lymph nodes. ConclusionDL demonstrates robust diagnostic accuracy in selecting PC patients for CRS-HIPEC, with potential benefits in patient outcomes and resource optimization. Further multicenter investigations are warranted to validate DL's efficacy across diverse primary cancer types.