IntroductionThe incidence of some fatal diseases, including HIV/AIDS, accompanied by depression has become a significant concern in developed, developing and underdeveloped countries. A great deal of time and money are spent on controlling and reducing the complications of this infection across the world. Accordingly, the main purpose of this study was to clarify the global prevalence rate of depression in patients living with HIV/AIDS via a systematic review and meta-analysis.MethodologyAll articles in English, published between 2000 and 2018, were systematically searched from the original databases of Web of Science, PubMed, Scopus, Cochrane Library, Google Scholar and Embase. As a result, a total of 118 articles were identified.ResultsThe total sample size in these articles was 51143 people, and the number of patients suffering from moderate and severe levels of depression was 14 942. The results of the analysis based on the random-effects (DerSimonian and Laird) model revealed that the prevalence rate of depression in patients with HIV/AIDS was 31% (95% CI 28% to 34%), with a 98% heterogeneity index which was reported significant. Meanwhile, the highest prevalence rate of depression based on continent was in South America at 44% (95% CI 35% to 53%) and the lowest rate was in Europe at 22% (95% CI 17% to 27%).ConclusionIn general, there was a higher prevalence rate of depression in developing and underdeveloped countries than in developed countries, which could be attributed to the advancement of science and the possibilities for early diagnosis of this syndrome.Trial registration numberCRD42019119137.
The epithelial-to-mesenchymal transition (EMT) is a vital control point in metastatic breast cancer (MBC). TWIST1, SNAIL1, SLUG, and ZEB1, as key EMT-inducing transcription factors (EMT-TFs), are involved in MBC through different signaling cascades. This updated meta-analysis was conducted to assess the correlation between the expression of EMT-TFs and prognostic value in MBC patients. A total of 3,218 MBC patients from fourteen eligible studies were evaluated. The pooled hazard ratios (HR) for EMT-TFs suggested that high EMT-TF expression was significantly associated with poor prognosis in MBC patients (HRs = 1.72; 95% confidence intervals (CIs) = 1.53–1.93; P = 0.001). In addition, the overexpression of SLUG was the most impactful on the risk of MBC compared with TWIST1 and SNAIL1, which sponsored fixed models. Strikingly, the increased risk of MBC was less associated with ZEB1 expression. However, the EMT-TF expression levels significantly increased the risk of MBC in the Asian population (HR = 2.11, 95% CI = 1.70–2.62) without any publication bias (t = 1.70, P = 0.11). These findings suggest that the overexpression of potentially TWIST1, SNAIL1 and especially SLUG play a key role in the aggregation of MBC treatment as well as in the improvement of follow-up plans in Asian MBC patients.
BackgroundMicroRNA-34a (miR-34a) is a master regulator of tumor suppression in breast cancer (BC). This systematic review aims to analyze the diagnostic accuracy of miR-34a in the detection of BC as a biomarker.ResultsA total of 1858 BC cases and 494 controls from thirteen eligible studies reported in 9 publications were included. The overall pooled sensitivity, specificity, negative likelihood ratio (NLR), positive likelihood ratio (PLR), and diagnostic odds ratio (DOR) were 85.50% (95% CI: 83.80-87.00%), 70.00% (95% CI: 65.80–74.10%), 0.29 (95% CI: 0.19–0.43), 2.58 (95% CI: 1.91–3.43), and 9.39 (95% CI: 5.47–16.12), respectively. Similarly, the overall area under the curve (AUC) of the summary receiver operating characteristic (SROC) was 0.80, indicating the high conservation of miR-34a as a biomarker. Furthermore, subgroup analysis suggested that the use of miR-34a as a biomarker is more accurate in tissue-based sample of invasive BC. We also indicated that miR-34a is a capable biomarker in diagnosing BC in people of Caucasian descent.Materials and MethodsA systematic search was conducted for eligible publications that address miR-34a expression level in BC cases and noncancerous controls. Diagnostic capacity of miR-34a for BC was assessed using pooled sensitivity and specificity, DOR, and AUC of SROC. PLR and NLR were verified to estimate the miR-34a diagnostic accuracy in clinical level. The quality of the included studies was assessed by QUADAS-2.ConclusionsThese findings suggest miR-34a is a promising non-invasive biomarker in diagnosing BC. Well-designed cohort studies should be implemented to warrant the diagnostic value of miR-34a in clinical purposes.
Background The COVID-19 pandemic has had an adverse effect on the mental health of population worldwide. This study was conducted to systematically review the existing literature to identify the individuals at higher risk of anxiety with a view to provide targeted mental health services during this outbreak. Methods In this study, the studies focusing on anxiety prevalence among the general population during the COVID-19 pandemic were searched in the PubMed, EMBASE, Scopus, Web of Science (WoS) and Google Scholar from the beginning of Covid-19 pandemic to February 2021. Results 103 studies constituting 140732 people included in the review. The findings showed that anxiety prevalence was 27.3% (95% CI, 23.7%; 31.2%) among general population while the prevalence in COVID-19 patients was 39.6% (95% CI, 30.1%; 50.1%). Anxiety was significantly higher among females and older adults (p≤0.05). In addition Europe revealed the highest prevalence of anxiety 54.6% (95% CI, 42.5%; 66.2%) followed by America 31.5% (95% CI, 19%; 47.5%) and Asia 28.3% (95% CI, 20.3%; 38%). In the general population the highest prevalence of anxiety was in Africa 61.8% (95% CI, 57%-66.4%) followed by America 34.9% (95% CI, 27.7%-42.9%), Europe 30.7% (95% CI, 22.8%-40%) and Asia 24.5% (95% CI, 20.7%-28.9%). Conclusion During the COVID-19 crisis, through identifying those who are more likely to be suffered from mental disorders at different layers of populations, it would be possible to apply appropriate supportive interventions with a view to provide targeted mental health services during the outbreak.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.