Prevalence of human papillomavirus detection in ovarian cancer: a meta-analysis

AbstractWe conducted a meta-analysis of published data to update and estimate the prevalence of HPV in ovarian cancer. A comprehensive literature search was performed according to the PRISMA guidelines. Eligible articles published from 1989 until 2020 by searching Web of Sciences, Pubmed, Embase, and the Cochrane Library Central databases were gathered. A pooled estimation of HPV prevalence with a 95% confidence interval (CI) was calculated based on a random effect model. Quantitative assessment of heterogeneity was explored using Cochrane test and I2. Additionally, publication bias, sensitivity, meta-regression, and subgroup analyses were also performed. Twenty-nine studies involving 2280 patients with ovarian cancer were included. The statistical heterogeneity was high (I2 = 88%, P<0.0001). The pooled prevalence of HPV in ovarian cancer cases was 15.9% (95% CI, 11–22). In subgroup analyses, the highest prevalence of HPV was reported by studies from Asia (30.9%; 95% CI, 20–44) and Eastern Europe (29.3%; 95% CI, 4.4–78). Furthermore, the most frequently detected HPV genotype was HPV16 (54%; 95% CI, 27.9–55), followed by HPV18 (23.2%; 95% CI, 18.8–28.2). Our meta-analysis suggests a great difference in the prevalence of HPV detected in ovarian cancer by different studies, which is not seen in strongly HPV-associated cancers such as cervical cancer. However, the prevalence varied markedly by geographic region. Considering the substantial heterogeneity found, more studies with control groups and precise assays measuring HPV mRNA expression are needed to further evaluate the link and causative aetiology between HPV and ovarian cancer.

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The Associations between VEGF Gene Polymorphisms and Diabetic Retinopathy Susceptibility: A Meta-Analysis of 11 Case-Control Studies

Journal of Diabetes Research ◽

10.1155/2014/805801 ◽

2014 ◽

Vol 2014 ◽

pp. 1-10 ◽

Cited By ~ 19

Author(s):

Liyuan Han ◽

Lina Zhang ◽

Wenhua Xing ◽

Renjie Zhuo ◽

XiaLu Lin ◽

...

Keyword(s):

Diabetic Retinopathy ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Recessive Model ◽

Cochrane Library ◽

Published Data ◽

Case Control Studies ◽

Asian Populations ◽

Effect Model

Aims. Published data on the associations of VEGF polymorphisms with diabetic retinopathy (DR) susceptibility are inconclusive. A systematic meta-analysis was undertaken to clarify this topic.Methods. Data were collected from the following electronic databases: PubMed, Embase, OVID, Web of Science, Elsevier Science Direct, Excerpta Medica Database (EMBASE), and Cochrane Library with the last report up to January 10, 2014. ORs and 95% CIs were calculated for VEGF–2578C/A (rs699947), –1154G/A (rs1570360), –460T/C (rs833061), −634G>C (rs2010963), and +936C/T (rs3025039) in at least two published studies. Meta-analysis was performed in a fixed/random effect model by using the software STATA 12.0.Results. A total of 11 studies fulfilling the inclusion criteria were included in this meta-analysis. A significant relationship between VEGF+936C/T (rs3025039) polymorphism and DR was found in a recessive model (OR = 3.19, 95% CI = 1.20–8.41, andP(z)=0.01) in Asian and overall populations, while a significant association was also found between –460T/C (rs833061) polymorphism and DR risk under a recessive model (OR = 2.12, 95% CI = 1.12–4.01, andP(z)=0.02).Conclusions. Our meta-analysis demonstrates that +936C/T (rs3025039) is likely to be associated with susceptibility to DR in Asian populations, and the recessive model of –460T/C (rs833061) is associated with elevated DR susceptibility.

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Detecting Melanoma Antigen Family A3 Expression in Solid/Non-Solid Human Tumor

10.21203/rs.3.rs-25597/v1 ◽

2020 ◽

Author(s):

Haoran Jiang ◽

Lihao Zhao ◽

Han Yang ◽

Mengjing Zhao ◽

Yuxia Duan ◽

...

Keyword(s):

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Human Tumor ◽

Squamous Carcinoma ◽

Cochrane Library ◽

Published Data ◽

Melanoma Antigen ◽

Effect Model ◽

Positive Rate

Abstract Background: MAGEA3 is a member of melanoma antigen family and has been recognized to express in many types of human cancers recently. In spite of the development of cancer vaccine, the prognostic value of MAGEA3 has not been well evaluated, due to the variability of clinical data and lack of clinical trials on the prognostic values.Method: Studies that evaluated MAGEA3 expression with a follow-up for at least 36 months were selected by searching in PubMed, WOS, Cochrane library, Embase. Published data was recorded and calculated into odds ratios (OR) for mortality in three or five years with Mantel-Haenszel random-effect model. Results: 11 studies were selected. The median positive rate was 45%. MAGEA3 always combines with worse survival on three or five years survival. The correlation between MAGEA3 and squamous carcinoma seemed stronger than adenocarcinoma on three-year OS while things got a reverse when it came to five-year OS. Most importantly, we found that all solid tumors originated from endoderm seemed to enjoy a strongest correlation among all the three germ layers.Conclusion: In this meta-analysis, we found that the expression of MAGEA3 can connect with worse outcome, and it probably can be a predictor for patients’ prognosis in clinical practice.

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The Prevalence of Metabolic Syndrome in Ethiopian Population: A Protocol for Systematic Review and Meta-analysis

10.21203/rs.3.rs-67729/v1 ◽

2020 ◽

Author(s):

Sintayehu Ambachew ◽

Aklilu Endalamaw ◽

Belete Biadgo ◽

Abebaw Worede ◽

Mulugeta Melku

Keyword(s):

Systematic Review ◽

Metabolic Syndrome ◽

English Language ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Group Analysis ◽

Published Data ◽

The Metabolic Syndrome ◽

Pooled Prevalence

Abstract Background: The metabolic syndrome is a clustering of hyperglycemia/insulin resistance, hypertension, dyslipidemia and obesity which are risk factors for cardiovascular disease, type 2 diabetes, stroke and all-cause mortality. The burden of metabolic syndrome is emerging alarmingly in low-and middle income countries like Ethiopia. This is the protocol to determine the pooled prevalence of metabolic syndrome in Ethiopian population.Methods: This systematic review and meta-analysis will include original articles of observational studies published in the English language. Searches will be carried out in PubMed, Google Scholar, and Africa Journals up to April 2019. A Fixed/Random-effect model will be used to estimate the pooled prevalence of metabolic syndrome in Ethiopia. Heterogeneity will be assessed using I² statistic. Sub-group analysis will also be conducted based on sex, study subjects, and methodological differences. Funnel plots and egger’s and Begg’s test will be used to asses publication bias.Ethics and dissemination: The review is based on published data; therefore, ethical approval is not required. The systematic review and meta-analysis will summarize the existing data on the prevalence of metabolic syndrome in Ethiopian population. This provides the empirical evidence necessary for researchers, policy-makers, and public health stakeholders to derive health-promoting policies, allocate resources, and set priorities for monitoring future trends. The final result will be presented at annual scientific meetings, conferences, and seminars. Moreover, it will also be published in the peer-reviewed reputable journal. We also plan to review every 5 years to provide updated information.Protocol registration number: PROSPERO International Prospective Register of Systematic Reviews (CRD42018090944)

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Predictors of unmet need for family planning in Ethiopia 2019: a systematic review and meta analysis

Archives of Public Health ◽

10.1186/s13690-020-00483-2 ◽

2020 ◽

Vol 78 (1) ◽

Author(s):

Temesgen Getaneh ◽

Ayenew Negesse ◽

Getenet Dessie ◽

Melaku Desta ◽

Tebabere Moltot

Keyword(s):

Family Planning ◽

Formal Education ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Unmet Need ◽

Reproductive Age ◽

Early Marriage ◽

Cochrane Library ◽

Pooled Prevalence

Abstract Background unmet need for family planning is a common cause of uninteded pregnancy which mostly end up with abortion. Many studies were conducted on predictors of unmet need of family planning in Ethiopia. But, up until now, single evidence has not been synthesized and various point prevalence estimates of unmet need for family planning have been reported. Therefore, this sytematic review and meta analysis was established to identify the predictors of unmet need for family planning in Ethiopia. Methods search engines including PubMed, Embase, CINAHL, Google Scholar, HINARI portal, and Cochrane Library were used to retrieve included articles and reported using the preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA) checklist guidelines. Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was applied for critical appraisal. All observational studies done on reproductive age women and reported on unmet need for family planning were included. Unmet need for family planning is the percentage of women of reproductive age, either married or in a union, who have an unmet need for family planning to stop or delay childbearing. Random effect model was done to estimate the pooled prevalence of unmet need for family planning. Odds ratio with 95% confidence interval was considered to determine the association of identified variables with unmet need of family planning. Cochran’s Q statistic, Egger’s and Begg’s test were carried out to assess heterogeneity and publication bias. Results Fifteen articles and 17, 585 reproductive aged women were included to estimate the pooled prevalence of unmet need for family planning and its predictors in Ethiopia. The prevalence of unmet need for family planning in Ethiopia ranges from 26.52 to 36.39%. Age at first marriage < 18 yrs. with OR = 2.3 (95% CI: 1.08, 4.87), women with no formal education with OR = 1.9 (95%CI: 1.19, 3.04), partner with no formal education with OR = 1.78 (95%CI: 1.18, 2.68) and absence of discussion with their partner about family planning with OR = 3.52 (95%CI, 2.56, 4.87) were predictors of unmet need of family planning in Ethiopia. Conclusion This meta analysis revealed that, the prevalence of unmet need for family planning in Ethiopia was high as compared with the United Nations sphere standard of unmet need for planning, considered to be high if it is greater than 25%. Early marriage, no formal eduaction and lack of discussion with partner on family planning were predictors of unmet need for family planning. Therefore, efforts are needed to empower women through eduaction, avoiding early marriage and facilitating dicussion of partners about family planning in order to improve family planning usage.

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A meta-analysis of serum Hcy in diagnosis of diabetic nephropathy

Pteridines ◽

10.1515/pteridines-2020-0001 ◽

2020 ◽

Vol 31 (1) ◽

pp. 1-8

Author(s):

Xiaoling Zhou ◽

Aijie Shi ◽

Xiao Zhou

Keyword(s):

Diabetic Nephropathy ◽

Effect Size ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Diagnostic Odds Ratio ◽

Diagnostic Sensitivity ◽

Cochrane Library ◽

Statistical Heterogeneity ◽

Sensitivity Specificity

AbstractObjective This meta-analysis aims to investigate the diagnostic performance of serum homocysteine (Hcy) as a biomarker for diabetic nephropathy (DN).Methods Clinical publications relevant to serum Hcy level and DN were systematic searched in the electronic databases of; Pubmed, Cochrane Library, Embase, Web of science, CNKI and CBM. The diagnostic data from each included original study was extracted and pooled by the effect size of diagnostic sensitivity, specificity, positive likely hood ratio (+LR), negative likely hood ratio (-LR), diagnostic odds ratio (DOR) and area under the symmetric ROC curve (AUC).Results 18 publications relevant to serum Hcy and DN were included in the meta-analysis. The I2 test demonstrated significant statistical heterogeneity across the 18 studies for the effect size of diagnostic. The pooled diagnostic sensitivity, specificity, +LR, -L, DOR, AUC were 0.76 (95%CI: 0.74-0.78), 0.84 (95%CI:0.82-0.86), 5.05 (95%CI:3.52-7.24), 0.27 (95%CI:0.19-0.39), 21.68 (95% CI:11.15to 42.14) and 0.90 respectively in the random effect model.Conclusion Based on the present publications, serum Hcy is a promising serological marker for DN diagnosis.

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Prevalence unmet need for family planning and its associated factors in Ethiopia 2019: sytematic review and meta analysis

10.21203/rs.2.12793/v1 ◽

2019 ◽

Author(s):

Temesgen Getaneh ◽

Ayenew Negesse ◽

Tebabere Moltot

Keyword(s):

Family Planning ◽

Associated Factors ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Unmet Need ◽

Reproductive Age ◽

Early Marriage ◽

Cochrane Library ◽

Pooled Prevalence

Abstract Background unmet need for family planning is a common cuase of uninteded pregnancy which mostly end up with abortion. Many fragmented studies were conducted on unmet need in Ethiopia but no single evidence was present. So this meta analysis was established to estimate the pooled prevalence of unmet need for family planning in Ethiopia. Methods articles were retrived through search engines: PubMed/MEDLINE, EMBASE, CINAHL, Google Scholar, HINARI portal, and Cochrane Library using the preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA) checklist guidelines. Joanna Briggs Institute Meta-Analysis of Statistics Assessment and Review Instrument (JBI-MAStARI) was applied for critical appraisal of included articles. Random effect model meta analysis was done to estimate the pooled prevalence of unmet need for family planning with their respective Odds Ratio (OR) and 95% confidence interval (CI). Cochran’s Q statistic, Egger’s and Begg’s test and meta regression were carried out to assess heterogeneity, publication bias and to identify associated factors respectively. Results 15 articles and 17, 585 reproductive age women were included to estimate the polled prevalence of unmet need for family planning in Ethiopia. The pooled prevalence of unmet need for family planning in Ethiopia was 31.45% (95%CI: 26.52, 36.39). Age at first marriage <18yrs with OR=2.3 (95% CI: 1.08, 4.87), being illiterate women with OR= 0.9 (95%CI: 1.19, 3.04), illiterate partner with OR=1.78 (95%CI: 1.18, 2.68) and absence of discussion with their partner with OR=3.52 (95%CI: 2.56, 4.87) were the associated factors. Conclusion This meta analysis revealed the prevalence of unmet need for family planning in Ethiopia was high. Early marriage, illiteracy and absence of open discussion were factors affecting the prevalence of unmet ned for family planning. Therefore, the responsible body inlcuding family health guiadance should strength women empowerment interms of education (equal accessible eduaction for all), avoid early marriage (before 18yrs) and facilitate open partners discussion within house hold.

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The prevalence and associated factors of hepatitis B and C virus in hemodialysis patients in Africa: A systematic review and meta-analysis

PLoS ONE ◽

10.1371/journal.pone.0251570 ◽

2021 ◽

Vol 16 (6) ◽

pp. e0251570

Author(s):

Tiruneh Adane ◽

Solomon Getawa

Keyword(s):

Hepatitis B ◽

Associated Factors ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Invasive Procedure ◽

Control Measures ◽

Cochrane Library ◽

Strict Adherence ◽

Pooled Prevalence

Background Due to its invasive procedure patients on hemodialysis (HD) are at high risk of infections. Infections acquired in dialysis units can prolong hospitalization date and/or prolong illness in patients, and increase treatment cost. There are no adequate data on the prevalence of Hepatitis B virus (HBV) and Hepatitis C virus (HCV) infections in HD patients. Therefore, this study aimed to estimate the pooled prevalence and associated factors of HBV and HCV infections among HD patients in Africa. Method The databases PubMed, Medline, EMBASE, Cochrane library, web of science, African Journals Online, Science Direct, and Google Scholar were searched to identify relevant studies. The review was performed based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data were extracted independently by two authors and analyzed using STATA 11. A random-effect model was fitted to estimate the pooled prevalence with their 95% confidence interval. To detect publication bias funnel plots analysis and Egger weighted regression tests were done. Results The overall pooled prevalence of HBV and HCV infection among HD patients in Africa was 9.88% (95% CI: 7.20–12.56) I2 = 97.9% and 23.04% (95% CI: 18.51–2757) I2 = 99.6%, respectively. In addition, the pooled prevalence of HBV and HCV co-infection was 7.18% (95% CI: 3.15–11.20) I2 = 99.6%. Duration of dialysis was found to be the contributing factor for the occurrence of HBV and HCV among HD patients (OR = 1.44; 95% CI: 1.04, 2.01). Conclusion This study showed that there is high prevalence of HBV and HCV infections in HD patients in Africa. Therefore, strict adherence to precautions of infection control measures, isolation of seropositive patients, improvement in infrastructures, adequate screening of HBV and HCV for the donated blood, and decentralized HD services is needed to minimize the risk of HBV and HCV infections in HD facilities.

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Prevalence of Spina Bifida among Newborns in Africa: A Systematic Review and Meta-Analysis

Scientifica ◽

10.1155/2020/4273510 ◽

2020 ◽

Vol 2020 ◽

pp. 1-12

Author(s):

Mohammed Oumer ◽

Molla Taye ◽

Hailu Aragie ◽

Ashenafi Tazebew

Keyword(s):

Systematic Review ◽

Spina Bifida ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Fetal Loss ◽

Cochrane Library ◽

Forest Plot ◽

Birth Prevalence ◽

Pooled Prevalence

Spina bifida is an abnormal closure of the neural tube during the fourth week of development. It is the major cause of fetal loss and considerable disabilities in newborns. The aim of this review is to determine the pooled prevalence of spina bifida among newborns in Africa. PubMed/Medline, Google Scholar, Science Direct, Joanna Briggs Institute (JBI) Library, Cochrane Library, Web of Science, African Journals Online, and Embase databases were systematically searched. Cochran Q test and I2 test statistics were applied to assess heterogeneity across studies. A random-effect model was applied to calculate the pooled prevalence of spina bifida. Forest plot and Galbraith’s plot were used to visualize heterogeneity. Subgroup, sensitivity, meta-regression, and meta-cumulative analyses were performed. All essential data were extracted using a standardized data extraction format, and the JBI quality appraisal checklist was used to assess the quality of studies. Egger’s test and Begg’s test were used in order to detect the publication bias. In the present systematic review and meta-analysis, 6,587,298 births in twenty-seven studies were included. The pooled birth prevalence of spina bifida in Africa was 0.13% with a range between 0.12% and 0.14%. In Africa, the highest burden of spina bifida was detected in Algeria (0.43%), Ethiopia (0.32%), Tanzania (0.26%), Cameron (0.12%), Egypt (0.10%), and South Africa (0.10%). The lowest burden of spina bifida was detected in Libya (0.006%) and Tunisia (0.009%). The high birth prevalence of spina bifida was detected in Africa. There was a significant variation in the prevalence of spina bifida among study countries in Africa. The authors recommend that special awareness creation with the help of health education intervention should be provided for mothers to focus on prevention in order to reduce the burden of spina bifida.

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Urinary and Blood MicroRNA-126 and -770 are Potential Noninvasive Biomarker Candidates for Diabetic Nephropathy: a Meta-Analysis

Cellular Physiology and Biochemistry ◽

10.1159/000489148 ◽

2018 ◽

Vol 46 (4) ◽

pp. 1331-1340 ◽

Cited By ~ 17

Author(s):

Sungjin Park ◽

SeongRyeol Moon ◽

Kiyoung Lee ◽

Ie Byung Park ◽

Dae Ho Lee ◽

...

Keyword(s):

Diabetic Nephropathy ◽

Clinical Studies ◽

English Language ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Microrna Expression ◽

Cochrane Library ◽

P Value ◽

Published Data

Background/Aims: Diabetic nephropathy (DN), a major diabetic microvascular complication, has a long and growing list of biomarkers, including microRNA biomarkers, which have not been consistent across preclinical and clinical studies. This meta-analysis aims to identify significant blood- and urine-incident microRNAs as diagnostic/prognostic biomarker candidates for DN. Methods: PubMed, Web of Science, and Cochrane Library were searched from their earliest records through 12th Dec 2016. Relevant publications for the meta-analysis included (1) human participants; (2) microRNAs in blood and urine; (3) DN studies; and (4) English language. Four reviewers, including two physicians, independently and blindly extracted published data regarding microRNA profiles in blood and/or urine from subjects with diabetic nephropathy. A random-effect model was used to pool the data. Statistical associations between diabetic nephropathy and urinary or blood microRNA expression levels were assessed. Results: Fourteen out of 327 studies (n=2,747 patients) were selected. Blood or urinary microRNA expression data of diabetic nephropathy were pooled for this analysis. The hsa-miR-126 family was significantly (OR: 0.57; 95% CI: 0.44-0.74; p-value < 0.0001) downregulated in blood from patients with diabetic kidney disease, while its urinary level was upregulated (OR: 2931.12; 95% CI: 9.96-862623.21; p-value = 0.0059). The hsa-miR-770 family microRNA were significantly (OR: 10.24; 95% CI: 2.37-44.25; p-value = 0.0018) upregulated in both blood and urine from patients with diabetic nephropathy. Conclusions: Our meta-analysis suggests that hsa-miR-126 and hsa-miR-770 family microRNA may have important diagnostic and pathogenetic implications for DN, which warrants further systematic clinical studies.

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Primary and secondary infertility in Africa: systematic review with meta-analysis

Fertility Research and Practice ◽

10.1186/s40738-020-00090-3 ◽

2020 ◽

Vol 6 (1) ◽

Author(s):

Melese Shenkut Abebe ◽

Mekbeb Afework ◽

Yeshiwas Abaynew

Keyword(s):

Inflammatory Diseases ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Degree Of Freedom ◽

Cochrane Library ◽

Forest Plot ◽

Secondary Infertility ◽

Chi Square ◽

Pooled Prevalence

Abstract BACKGROUND Infertility is a practical concern of Africans due to social disgrace and exclusion. This meta-analysis aims to analyze the proportion of primary and secondary infertility and identify the etiologic factors based on the studies conducted in Africa. METHODS An internet-based search was conducted on the following databases; PubMed/Medline, EMBASE, Cochrane library, and google scholar. Both population and institution-based studies conducted among African couples, males, and females were included. Data extraction and critical appraisal of the articles were done by two independent investigators. Meta-analysis using a random effect model was conducted by Stata version 14. Forest plot, heterogeneity test, and funnel plot for publication bias were performed. RESULTS The pooled proportion of primary and secondary infertility in Africa was 49.91% (I2 = 98.7, chi-square = 1509.01, degree of freedom = 19 and p < 0.001) and 49.79% (I2 = 98.7, chi-square = 1472.69, degree of freedom = 19 and p < 0.001) respectively. The pooled prevalence of the causes of infertility indicated that 54.01% and 22.26% of the infertility cases were respectively due to female and male-related problems. In 21.36% of infertility cases, both sexes were affected, while 10.4% of the causes of infertility were unexplained. The pooled prevalence of mostly reported causes of male infertility was 31% (oligospermia), 19.39% (asthenozoospermia), and 19.2% (varicocele). The most commonly identified causes of female infertility were pelvic inflammatory disease, tubal factors, and abortion with a pooled prevalence of 39.38%, 39.17%, and 36.41% respectively. Conclusions In Africa, the proportion of primary and secondary infertility is approximately equal. Infertility is mostly due to female-related causes like; pelvic inflammatory diseases, uterine tube related problems, and abortion. Oligospermia, asthenozoospermia, and varicocele were the commonest causes of male-related infertility. It is suggested that interpretation and utilization of these findings should consider the presence of substantial heterogeneity between the included studies.

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