Performance of Dual-Source CT in Calculi Component Analysis: A Systematic Review and Meta-Analysis of 2151 Calculi

2020 ◽  
pp. 084653712095199
Author(s):  
Juan Yu ◽  
Qingchun Zhou ◽  
Fan Lin ◽  
Enming Cui ◽  
Han-wen Zhang ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Systematic Review ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect Model ◽  
Component Analysis ◽  
Analysis Tool ◽  
Dual Source ◽  
Dual Source Computed Tomography

Objective: To evaluate the performance of dual-source computed tomography (DSCT) in the component analysis of all types of calculi by doing a systematic review and meta-analysis. Methods: We searched MEDLINE, Embase, Scopus, and CNKI up to February 28, 2020, for in vivo studies investigating the performance of DSCT in the component analysis of calculi. We pooled the sensitivity, specificity, and areas under the summary receiver operating characteristic (AUROC) curves using a random-effect model in the meta-analysis. Publication bias was evaluated using Deek’s funnel plot asymmetry test. Results: This analysis included a total of 37 studies in 1840 patients with 2151 calculi (462 uric acid [UA], 1383 calcium oxalate [CaOx], 55 cystine [Cys], 197 hydroxyapatite [HA], and 54 struvite [SV]). Using DSCT, the pooled accuracy for diagnosing UA (sensitivity, 0.95; specificity, 0.99), CaOx (0.98; 0.93), Cys (0.99; 0.99), HA (0.91; 0.99), and SV (0.42; 0.98) was calculated, respectively. The AUROC value was 0.99, 0.99, 1.00, 0.99, and 0.93, respectively. The P values for publication bias test were .49, .70, .07, .04, and .19, respectively. Conclusion: Dual-source computed tomography has high sensitivity and specificity for the component analysis of UA, CaOx, Cys, and HA calculi in vivo. This tool may have the potential to replace the current analysis tool in vitro in diagnosing calculi.

scholarly journals Association between Oral Contraceptives and cutaneous melanoma: a systematic review and metanalysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Giacchetta ◽  
M Chiavarini ◽  
G Naldini ◽  
R Fabiani
Keyword(s):  
Systematic Review ◽  
Malignant Melanoma ◽  
Publication Bias ◽  
Oral Contraceptives ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cutaneous Malignant Melanoma ◽  
Hormonal Factors ◽  
Increased Risk

Abstract Background The probability of developing invasive cutaneous malignant melanoma (CMM) is higher in women than in men up until the age of 49. Several studies investigated the association between hormonal factors and CMM. The aim of this systematic review and meta-analysis is to summarize the evidence on the association between Oral Contraceptives (OC) and the risk of CMM. Methods This review and meta-analysis follow the PRISMA guidelines. A systematic literature search was conducted on Medline and Web of Science until December 2019. Studies were eligible if reported a risk estimate for the association between OC and CMM. Heterogeneity testing was performed using Cochran's Q and I2 statistics. Publication bias was assessed by Egger's test and Begg's test. Meta-analysis was performed using random effect model. Results The results of the pooled analysis of all 32 studies showed no significant association between OC and the risk of CMM (OR 1.02; 95% CI 0.94-1.11; I2=39.32%, p = 0.013). The stratified analyses by study design found no significant association between OC and the risk of CMM neither in the 18 case-control studies (OR 1.02; 95% CI 0.87-1.21; I2=56.91%, p = 0.002) nor in the 14 cohort studies (OR 1.04; 95% CI 0.98-1.11; I2=0.00%, p = 0.557). No significant publication bias could be detected by Egger's test or Begg's test. Conclusions This meta-analysis of available literature suggests no significant association between OC and the risk of developing CMM. Further investigations are needed to evaluate the possible relationship of OC use and other hormonal factors potentially contributing to the increased risk of CMM in women during their reproductive years. Key messages Oral contraceptives (OC) do not significantly contribute to the risk of Cutaneous Malignant Melanoma (CMM). Further studies are needed to investigate the potential role of other hormonal factors in the increased probability of developing CMM in women during their reproductive years.

scholarly journals Is Routine Preoperative Esophagogastroduodenoscopy Prior to Bariatric Surgery Mandatory? Systematic Review and Meta-analysis of 10,685 Patients

2020 ◽  
Vol 30 (8) ◽  
pp. 3073-3083 ◽  
Author(s):  
Walid El Ansari ◽  
Ayman El-Menyar ◽  
Brijesh Sathian ◽  
Hassan Al-Thani ◽  
Mohammed Al-Kuwari ◽  
...  
Keyword(s):  
Systematic Review ◽  
Bariatric Surgery ◽  
Publication Bias ◽  
Surgical Approach ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Group 3 ◽  
Group 2 ◽  
Group 1

Abstract Background This systematic review and meta-analysis searched, retrieved and synthesized the evidence as to whether preoperative esophagogastroduodenoscopy (p-EGD) should be routine before bariatric surgery (BS). Methods Databases searched for retrospective, prospective, and randomized (RCT) or quasi-RCT studies (01 January 2000–30 April 2019) of outcomes of routine p-EGD before BS. STROBE checklist assessed the quality of the studies. P-EGD findings were categorized: Group 0 (no abnormal findings); Group 1 (abnormal findings that do not necessitate changing the surgical approach or postponing surgery); Group 2 (abnormal findings that change the surgical approach or postpone surgery); and Group 3 (findings that signify absolute contraindications to surgery). We assessed data heterogeneity and publication bias. Random effect model was used. Results Twenty-five eligible studies were included (10,685 patients). Studies were heterogeneous, and there was publication bias. Group 0 comprised 5424 patients (56%, 95% CI: 45–67%); Group 1, 2064 patients (26%, 95% CI: 23–50%); Group 2, 1351 patients (16%, 95% CI: 11–21%); and Group 3 included 31 patients (0.4%, 95% CI: 0–1%). Conclusion For 82% of patients, routine p-EGD did not change surgical plan/ postpone surgery. For 16% of patients, p-EGD findings necessitated changing the surgical approach/ postponing surgery, but the proportion of postponements due to medical treatment of H Pylori as opposed to “necessary” substantial change in surgical approach is unclear. For 0.4% patients, p-EGD findings signified absolute contraindication to surgery. These findings invite a revisit to whether p-EGD should be routine before BS, and whether it is judicious to expose many obese patients to an invasive procedure that has potential risk and insufficient evidence of effectiveness. Further justification is required.

scholarly journals Prevalence of Calf Mortality in Ethiopia: A Systematic Review and Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Ephrem Tora ◽  
Mesfin Shrube ◽  
Tamirat Kaba ◽  
Wasihun Seyoum
Keyword(s):  
Systematic Review ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect Model ◽  
Dairy Industry ◽  
Economic Losses ◽  
Original Research ◽  
Pooled Prevalence ◽  
Wide Range ◽  
Calf Mortality

Background. Calf mortality has been a major cause of economic losses in the dairy industry in Ethiopia. The condition results in a significant drop in the number of replacing heifers and bulls for sustainable dairy business. Reports on calf mortality with a wide range of prevalence are rising in the country; however, a pooled prevalence of this condition has not been established. Thus, this systematic review and meta-analysis aimed to quantitatively estimate the pooled prevalence of calf mortality in Ethiopia. Methods. Meta-analysis was carried out to obtain the pooled prevalence of calf mortality in Ethiopia. A comprehensive literature search was carried out on PubMed, African Journals Online, CAB, Web of Science Direct, and Google Scholar. Eligible studies were selected based on predefined inclusion and exclusion criteria. Moderators such as the study area, breed of calf, study design, agroecology, and year of study article published were used as a milestone of data extraction. The random-effect model was used to estimate pooled prevalence. Publication bias and the variation in prevalence estimates attributed to heterogeneity were also assessed. Results. Twenty-five original research papers on the prevalence of calf mortality in various parts of Ethiopia were included. The reported prevalence of calf mortality was between 0.9% and 37%. The pooled prevalence of calf mortality in the country was 14.79%, and the pooled calf mortality estimate across studies for the entire period regarding 1991 to 2000, 2001 to 2010, 2011 to 2016, and 2017 to 2020 was 26.54%, 17.03%, 14.21%, and 11.23%, respectively. Analysis of study subgroups and location revealed significant variations in prevalence. High heterogeneity was observed in the pooled estimates and even after the subgroup meta-analysis. The funnel plots and Egger’s regression asymmetry coefficient (b = −1.0434) (95% CI = −1.49, −0.59; p value of 0.012) did suggest the presence of publication bias. There was also an indication of missing studies that could be incorporated by Duval and Tweedie’s trim and fill method where they might fall on a funnel plot and visualize them in an attempt to increase the plot’s symmetry. Analyses also suggest that calf breed, sample size, and study location are likely to be moderators of calf mortality prevalence in Ethiopia. Conclusion. This finding shows that calf mortality is widespread and could result in considerable economic losses for the dairy industry in Ethiopia. Inevitably, a significant reduction in calf mortality prevalence has been observed in recent years since 2010, but the reduction has not yet reached an economically tolerable level. Calf breed susceptibility contributed to the high prevalence. Therefore, interventions for increasing calf health and performance should be focused on minimizing calf mortality on farm and animal levels.

scholarly journals Association of human papilloma Virus infection other than cervical cancer: Systematic Review and Meta Analysis

2021 ◽  
Vol 44 (1) ◽  
pp. 119-128
Author(s):  
Habtamu Molla ◽  
Habtamu Temesgen ◽  
Dereje Beyene
Keyword(s):  
Systematic Review ◽  
Cervical Cancer ◽  
Human Papilloma Virus ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Hpv Infection ◽  
Papilloma Virus ◽  
Pooled Prevalence

Human Papilloma Virus (hpv) infection causes different cancer diseases. Cervical cancer is the most common hpv related disease. hpv infection also causes cancer of anus, vulva, vagina, penis, skin, bladder, prostate, breast, oral and others because the hpv virus is epithelium-tropic. But the association of hpv infection other than cervical cancer, for example breast cancer, bladder cancer, prostate cancer etc is still inconclusive. Thus, the objective of this review was to collect published information on hpv infection other than cervix to explore the pooled prevalence of hpv infection as well as related types of cancers.  Publish research articles of hpv infection and cancer risks other than cervical cancer were systematically searched through Internet. The preferred reporting items for systematic review and meta-analysis guidelines were followed. Joanna Brigg’s Institute Meta-Analysis of Statistics Assessment and Review Instrument (jbi-mastari) adapted for cross sectional/case control study design was used for quality assessment of each individual study. A total of 22 studies were extracted and analyzed using stata 14. The random effect model was used to estimate the pooled prevalence; whereas subgroup analysis and meta-regression was performed to identify the probable source of heterogeneity. Both Egger’s and Begg’s tests were used to check publication bias.  The totals of 486 studies were retrieved and 22 studies were included in this meta- analysis. The meta-analysis result showed that the pooled prevalence of hpv infection other than cervix was 34.36% (95% CI: 23.75, 44.97) with severe heterogeneity (I2 = 99.5%; p<0.001) with no publication bias. The highest pooled prevalence of hpv infection other than cervix was related to genital cancer which is 58.63% (95% CI: 51.86, 65.39), followed by oral cancer (47.15% with 95% CI: 19.67, 74.63). Although cervical cancer is primarily hpv induced cancer which well articulated with so many researches, other cancer types (based on the location of the hpv infection) are also increasing across the world based on this systematic and meta-analysis study. hpv infection increases the risk of developing cancers other than cervical cancer.

scholarly journals Therapeutic potential of ivermectin as add on treatment in COVID 19: A systematic review and meta-analysis

2020 ◽  
Vol 23 ◽  
pp. 462-469
Author(s):  
Biswa Mohan Padhy ◽  
Rashmi Ranjan Mohanty ◽  
Smita Das ◽  
Bikash Ranjan Meher
Keyword(s):  
Systematic Review ◽  
Therapeutic Potential ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Symptomatic Treatment ◽  
Effect Model ◽  
Usual Therapy

The current management of COVID-19 is mostly limited to general supportive care and symptomatic treatment. Ivermectin is a broad-spectrum anti-parasitic drug used widely for the treatment of onchocerciasis and lymphatic filariasis. Apart from its anti-parasitic effect it also exhibits antiviral activity against a number of viruses both in vitro and in vivo. Hence, we conducted this systematic review and meta-analysis to assess the currently available data on the therapeutic potential of ivermectin for the treatment of COVID‐19 as add on therapy. A total of 629 patients were included in the 4 studies and all were COVID-19 RT-PCR positive. Among them, 397 patients received ivermectin along with usual therapy. The random effect model showed the overall pooled OR to be 0.53 (95%CI: 0.29 to0.96) for the primary outcome (all-cause mortality) which was statistically significant (P=0.04). Similarly, the random effect model revealed that adding ivermectin led to significant clinical improvement compared to usual therapy (OR=1.98, 95% CI: 1.11 to 3.53, P=0.02).  However, this should be inferred cautiously as the quality of evidence is very low. Currently, many clinical trials are on-going, and definitive evidence for repurposing this drug for COVID-19 patients will emerge only in the future.

scholarly journals Effects of underlying morbidities on the occurrence of deaths in COVID-19 patients: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Mostaured Khan ◽  
Md Nuruzzaman Khan ◽  
Md. Golam Mustagir ◽  
Juwel Rana ◽  
Md Saiful Islam ◽  
...  
Keyword(s):  
Systematic Review ◽  
Publication Bias ◽  
English Language ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Healthcare Providers ◽  
Cerebrovascular Diseases ◽  
Reference List ◽  
Trim And Fill

Abstract Background: Coronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing morbidities among COVID-19 infected patients and their mortality risks against each type of pre-existing morbidity category. Methods: To conduct this systematic review and meta-analysis, Medline, Web of Science, Scopus, and CINAHL databases were searched using specified relavent keywords. Further searches were conducted using the reference list of the selected studies, renowned pre-print servers (e.g., medRxiv, bioRixv, SSRN), and relevant journal websites. Studies written in the English language included if those were conducted among COVID-19 patients with and without comorbidities and presented survivor vs. non-survivor counts or hazard/odds of deaths or survivors against types of pre-existing morbidities. Comorbidities reported in the selected studies were grouped into eight categories. The pooled likelihoods of deaths in each category were estimated using a fixed or random-effect model, based on the heterogeneity assessment. Publication bias was assessed by visual inspection of the funnel plot asymmetry and Eggers regression test. Trim and Fill method was used if there any publication bias was found. Results: A total of 42 studies included in this study comprised of 39,398 samples. The most common pre-existing morbidities in COVID-19 infected patients were hypertension (36.5%), cardiovascular disease (11.9%), and diabetes (22.0%). The higher likelihood of deaths was found among COVID-19 patients who had pre-existing cardiovascular diseases (OR: 3.32, 95% CI: 2.79-3.95), immune and metabolic disorders (OR: 2.39, 95% CI: 2.00-2.85), respiratory diseases (OR: 2.02, 95% CI: 1.80-2.26), cerebrovascular diseases (OR: 4.12, 95% CI: 3.04-5.58), any types of cancers (OR: 2.22, 95% CI: 1.63-3.03), renal (OR: 3.02, 95% CI: 2.60-3.52), and liver diseases (OR: 1.44, 95% CI: 1.21-1.71). Conclusions: This study provides evidence of a higher likelihood of deaths among COVID-19 patients against morbidity categories. These findings could potentially help healthcare providers to sort out the most endangered COVID-19 patients by comorbidities, take precautionary measures during hospitalization, assess susceptibility to death, and prioritize their treatment, which could potentially reduce the number of fatalities in COVID-19.

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