Epidemiology of depression and factors associated with depression in cancer patients’ in Ethiopia: protocol for systematic review and meta-analysis

Author(s):  
Mekonnen Tsehay ◽  
Asmare Belete ◽  
Mogesie Necho

Abstract BackgroundThere is no pooled evidence regarding the prevalence and potential associated factors of depression among cancer patients in East Africa community. Hence, the current review aimed to examine the prevalence and associated factors of depression among cancer patients in East Africa.Method: A computerized systematic literature search was made in MEDLINE, Scopus, PubMed, Science Direct, and Google Scholar. Each database was searched from its start date to June 2020. All included articles were published in English, which evaluated prevalence and associated factors of depression among cancer patients in East Saharan Africa. Pooled estimations with 95% confidence interval (CI) were calculated with DerSimonian-Laird random-effects model. Publication bias was evaluated by using inspection of funnel plots and statistical tests.DiscussionSince we are using existing anonymized data, ethical approval is not required for this study. Our results can be used to guide clinical decisions about the most efficient way to prevent and treat depression among cancer patients.Systematic review registrationsubmitted to Prospero

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Amanual Getnet Mersha ◽  
Sileshi Ayele Abebe ◽  
Lamessa Melese Sori ◽  
Tadesse Melaku Abegaz

Background. There is no pooled evidence regarding the prevalence and potential associated factors of perinatal depression in Ethiopian community. Hence, the current review aimed to examine the prevalence and associated factors of perinatal depression in Ethiopia. Method. A computerized systematic literature search was made in MEDLINE, Scopus, PubMed, ScienceDirect, and Google Scholar. Each database was searched from its start date to January 2018. All included articles were published in English, which evaluated prevalence and associated factors of perinatal depression in Ethiopia. Pooled estimations with 95% confidence interval (CI) were calculated with DerSimonian-Laird (DL) random-effects model. Publication bias was evaluated by using inspection of funnel plots and statistical tests. Result. Eight observational studies with an overall sample size of 4624 mothers were included in the review. The pooled prevalence of perinatal depression from these studies reported that the prevalence of perinatal depression in Ethiopia is 25.8% [95% CI, 24.6%-27.1%]. A pervious history of depression [RR: 3.78 (95% CI, 2.18-6.57), I2 = 41.6%], poor socioeconomic status [RR: 4.67 (95% CI, 2.89-7.53), I2 = 0%], not living with spouse [RR: 3.76 (95% CI, 1.96-7.38), I2 = 36.4%], having obstetric complications in previous and/or this pregnancy [RR: 2.74 (95% CI, 1.48-5.06), I2 = 67.7%], and having unplanned pregnancy [RR: 2.73 (95% CI, 2.11-3.53), I2 = 0%] were the major factors associated with perinatal depression. Conclusion. The pooled prevalence of perinatal depression in Ethiopia is far above most developed as well as developing countries. Hence, to realize the sustainable development goals (SDGs) outlined by united nation, much attention should be given to improve maternal mental health through reduction of identified modifiable factors. Maternal health programs, polices, and activities should incorporate maternal mental health as a core component.


BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e042111
Author(s):  
Birhan Gebresillassie Gebregiorgis ◽  
Goitom Molalign Takele ◽  
Kassahun Dires Ayenew ◽  
Yosef Eshetie Amare

IntroductionHospital-acquired infections (HAIs) are public health problems of global concern and are notably prevalent in developing countries. The prevalence of HAI and its associated factors are not well described in the context of Ethiopia. Currently, the nationwide prevalence of HAI and its corresponding associated factors have not been formally reported in Ethiopia. This review will provide an estimate of the prevalence of HAI and its associated factors.MethodsScholarly articles will be selected from the Embase, PubMed, Cochrane library, Hinary, Scopus, Web of Science and Google Scholar databases. Articles within the timeline of January 2000 to December 2020 will be included for review. Observational studies, randomised trials, surveys, surveillance reports, published and grey literature that reported the prevalence of HAI or factors associated with HAI reported as OR (95% CI) with no language restriction will be included in the analysis. Screening and selection of articles will be done using web-based Covidence software. The article’s quality and risk of bias will be critically appraised using Johanna Briggs Institute quality appraisal checklist. Random effects model using the inverse variance method will be conducted to estimate the prevalence of HAI. To examine heterogeneity, the Q statistics and I2 statistics will be conducted. Publication bias will be investigated using Begg’s correlation method and Egger’s weighted regression test. All analyses will be performed with STATA (V.14) software.Ethics and disseminationEthical approval is not required for meta-analysis reviews as participants are not included. The review will be submitted for publication in peer-reviewed journals.


2020 ◽  
Vol 228 (1) ◽  
pp. 43-49 ◽  
Author(s):  
Michael Kossmeier ◽  
Ulrich S. Tran ◽  
Martin Voracek

Abstract. Currently, dedicated graphical displays to depict study-level statistical power in the context of meta-analysis are unavailable. Here, we introduce the sunset (power-enhanced) funnel plot to visualize this relevant information for assessing the credibility, or evidential value, of a set of studies. The sunset funnel plot highlights the statistical power of primary studies to detect an underlying true effect of interest in the well-known funnel display with color-coded power regions and a second power axis. This graphical display allows meta-analysts to incorporate power considerations into classic funnel plot assessments of small-study effects. Nominally significant, but low-powered, studies might be seen as less credible and as more likely being affected by selective reporting. We exemplify the application of the sunset funnel plot with two published meta-analyses from medicine and psychology. Software to create this variation of the funnel plot is provided via a tailored R function. In conclusion, the sunset (power-enhanced) funnel plot is a novel and useful graphical display to critically examine and to present study-level power in the context of meta-analysis.


1996 ◽  
Vol 75 (02) ◽  
pp. 368-371 ◽  
Author(s):  
T Barbul ◽  
G Finazzi ◽  
A Grassi ◽  
R Marchioli

SummaryHematopoietic colony-stimulating factors (CSFs) are largely used in patients with cancer undergoing cytotoxic treatment to accelerate neutrophil recovery and decrease the incidence of febrile neutropenia. Clinical practice guidelines for their use have been recently established (1), taking into account clinical benefit, but also cost and toxicity. Vascular occlusions have been recently reported among the severe reactions associated with the use of CSFs, in anedoctal case reports (2, 3), consecutive case series (4) and randomized clinical trial (5, 6). However, the role of CSFs in the pathogenesis of thrombotic complications is difficult to ascertain, because pertinent data are scanty and widely distributed over a number of heterogenous investigations. We report here a systematic review of relevant articles, with the aims to estimate the prevalence of thrombosis associated with the use of CSFs and to assess if this rate is significantly higher than that observed in cancer patients not receiving CSFs.


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