scholarly journals META-ANALYSIS FOR EVALUATING THE EFFICIENCY OF GENOMIC SELECTION IN CEREALS

2020 ◽  
Vol 31 (1) ◽  
pp. 23-32
Author(s):  
M. A. Rueda Calderón ◽  
M. Balzarini ◽  
C. Bruno
Keyword(s):  
Systematic Review ◽  
Genomic Selection ◽  
Statistical Approach ◽  
Predictive Accuracy ◽  
Meta Analysis ◽  
Predictive Ability ◽  
Genomic Data ◽  
Forest Plot ◽  
Average Correlation ◽  
Best Linear Unbiased

Genomic selection (GS) is used to predict the merit of a genotype with respect to a quantitative trait from molecular or genomic data. Statistically, GS requires fitting a regression model with multiple predictors associated with the molecular markers (MM) states. The model is calibrated in a population with phenotypic and genomic data. The abundance and correlation of MM information make model estimation challenging. For that reason there are diverse strategies to adjust the model: based on best linear unbiased predictors (BLUP), Bayesian regressions and machine learning methods. The correlation between the observed phenotype and the predicted genetic merit by the fitted model provides a measure of the efficiency (predictive ability) of the GS. The objective of this work was to perform a metaanalysis on the efficiency of GS in cereals. A systematic review of related GS studies and a meta-analysis, in wheat and maize, was carried out to obtain a global measure of GS efficiency under different scenarios (MM quantity and statistical models used in GS). The meta-analysis indicated an average correlation coefficient of 0.61 between observed and predicted genetic merits. There were no significant differences in the efficiency of the GS based on BLUP (RR-BLUP and GBLUP), the most common statistical approach. The increase of MM data, make GS efficiency do not vary widely. Key words: Systematic review; Random effects model; Forest plot; Predictive accuracy.

671 Update of a systematic review and meta-analysis studying the association between antibiotic use and clinical outcomes of non-small-cell lung cancer patients treated with immune checkpoint inhibitors

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A708-A708
Author(s):  
Pierre-Alain Bandinelli ◽  
Julie Cervesi ◽  
Clément Le Bescop ◽  
Renaud Buffet ◽  
Jean De Gunzburg ◽  
...  
Keyword(s):  
Systematic Review ◽  
Clinical Outcomes ◽  
Time Window ◽  
Checkpoint Inhibitors ◽  
Meta Analysis ◽  
Progression Free Survival ◽  
Antibiotic Use ◽  
Forest Plot ◽  
Antibiotic Exposure ◽  
Hazard Ratios

BackgroundImmune checkpoint inhibitors (ICIs) have been shown to improve patients‘ clinical outcomes in a variety of cancers, but with variable efficacy. Prior research has also suggested that systemic antibiotic (ABX) exposure may impact the intestinal microbiota and result in suboptimal ICI treatment outcomes. Our team published a systematic review and meta-analysis showing that ABX use could indeed decrease the survival of patients diagnosed with non-small-cell lung cancer (NSCLC) and treated with ICIs.1 The present abstract aims at updating this meta-analysis by incorporating new studies that have been published in the period ranging from September 2019 to August 2020.MethodsMedline (through PubMed), the Cochrane Library and major oncology conferences proceedings were systematically searched to identify studies assessing the impact of ABX use on the clinical outcomes of NSCLC patients treated with ICIs. Studies were found eligible for inclusion when they mentioned a hazard ratio (HR) or Kaplan–Meier curves for overall survival (OS) or progression-free survival (PFS) based on antibiotic exposure. Pooled HRs for OS and PFS and HRs for OS and PFS according to different time windows for ABX exposure were calculated.Results6 eligible new studies were identified between September 2019 and August 2020 while 3 other studies were updated with new information. Altogether, 27 studies reported data for OS (6,436 patients, 826 of whom coming from new studies) and 24 for PFS (3,751 patients, 786 of whom coming from new studies). The pooled HR was 1.75 (95% confidence interval [CI]: 1.38–2.23) for OS and 1.57 (95% CI: 1.28–1.92) for PFS, confirming a significantly reduced survival in patients with NSCLC exposed to ABX. The detailed analysis in subgroups based on the time window of exposure (figure 1, figure 2) suggests that the deleterious effect of ABX is stronger when the exposition happens shortly before and after the initiation of the ICI treatment.Abstract 671 Figure 1Forest plot of hazard ratios for overall survival of patients diagnosed with NSCLC and exposed to antibiotics versus not exposed to antibiotics, according to the time window of antibiotic exposureAbstract 671 Figure 2Forest plot of hazard ratios for progression-free survival of patients diagnosed with NSCLC and exposed to antibiotics versus not exposed to antibiotics, according to the time window of antibiotic exposureConclusionsThe update of the meta-analysis confirms the previously reported deleterious effect of ABX on ICI treatment outcomes, taking into account the latest publications in the field. The topic deserves further research to uncover if the effect will stand with 1st line use of ICI together with chemotherapies and/or other approved combinations, elucidate the mechanisms at stake and improve care of patients.ReferencesLurienne L, Cervesi J, Duhalde L, de Gunzburg J, Andremont A, Zalcman G, et al. NSCLC immunotherapy efficacy and antibiotic use: a systematic review and meta-analysis. J Thorac Oncol 2020;15:1147–1159.

scholarly journals P25.02: Predictive accuracy of colour Doppler signs in detecting invasive placentation: a systematic review and meta-analysis

2014 ◽  
Vol 44 (S1) ◽  
pp. 331-331 ◽  
Author(s):  
M. Morlando ◽  
F. D'Antonio ◽  
N. Chianchiano ◽  
G. Cali ◽  
P. Martinelli ◽  
...  
Keyword(s):  
Systematic Review ◽  
Predictive Accuracy ◽  
Meta Analysis ◽  
Colour Doppler

scholarly journals Systematic review and meta-analysis of the prevalence of coronavirus in the world: One health approach is urgent

2021 ◽  
Author(s):  
Ricardo Faustino ◽  
Miguel Faria ◽  
Monica Teixeira ◽  
Filipe Palavra ◽  
Maria Do Ceu Costa ◽  
...  
Keyword(s):  
Systematic Review ◽  
Fixed Effects ◽  
One Health ◽  
Animal Species ◽  
Meta Analysis ◽  
Epidemiological Surveillance ◽  
Forest Plot ◽  
Atypical Pneumonia ◽  
Systematic Analysis ◽  
Different Strains

Coronaviruses have been responsible for major epidemic crises in 2003 with SARS-CoV-1, in 2012 with MERS-CoV and in 2019 with SARS-CoV-2 (COVID-19), causing serious atypical pneumonia in humans. We intend, with this systematic analysis and meta-analysis, to clarify the prevalence of the various strains of coronavirus in different animal species. For this purpose, we carried out an electronic survey using Pubmed's Veterinary Science search tool to conduct a systematic assessment of published studies reporting the prevalence of different strains of coronavirus in different animal species between 2015 and 2020. We conducted different analysis to assess sensitivity, publication bias, and heterogeneity, using random and fixed effects. The final meta-analysis included 42 studies for systematic review and 29 in the meta-analysis. For the geographic regions with a prevalence greater than or equal to 0.20 (Forest plot overall; prevalence = 0.20, p < 0.01, Q = 10476.22 and I2 = 100%), the most commonly detected viruses were: enteric coronavirus (ECoV), pigeon-dominant coronavirus, (PdCoV), Avian coronavirus M41, Avian coronavirus C46, Avian coronavirus A99, Avian coronavirus JMK, MERS-CoV, Bovine coronavirus, Ro-BatCoV GCCDC1, Alphacoronavirus, Betacoronavirus, Deltacoronavirus, Gamacoronavirus and human coronaviruses (HCoVs). The wide presence of different strains of coronavirus in different animal species on all continents demonstrates the great biodiversity and ubiquity of these viruses. The most recent epidemiological crises caused by coronavirus demonstrates our unpreparedness to anticipate and mitigate emerging risks, as well as the need to implement new epidemiological surveillance programs for viruses. Combined with the need to create advanced training courses in One Health, this is paramount in order to ensure greater effectiveness in fighting the next pandemics.

scholarly journals Predictive value of pregnancy-associated plasma protein-A in relation to fetal loss: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Zahra Hadizadeh-Talasaz ◽  
Ali Taghipour ◽  
Seyede Houra Mousavi-Vahed ◽  
Robab Latifnejad Roudsari
Keyword(s):  
Systematic Review ◽  
Likelihood Ratio ◽  
Plasma Protein ◽  
Predictive Value ◽  
Meta Analysis ◽  
Protein A ◽  
Fetal Loss ◽  
Positive Likelihood Ratio ◽  
Negative Likelihood Ratio ◽  
Forest Plot

Background: For a woman with bleeding and threatened abortion, ultrasound scan is done to confirm the viability of the fetus; however, 10-15% of the embryos are eventually aborted. Distinguishing between women with good and poor prognosis can be a helpful approach. Objective: This study aimed to review the predictive value of Pregnancy-associated Plasma Protein A (PAPP-A) in relation to the diagnosis of fetal loss. Materials and Methods: The articles published in multiple databases including Web of Science, PubMed, MEDLINE, Scopus, and Persian databases such as ISC, Magiran, and IranMedx were searched for articles published until May 2019. MeSH terms was used for searching the databases including fetal loss OR pregnancy loss OR abortion OR miscarriage with the following word using AND; Pregnancy-Associated Plasma Protein- A OR PAPP-A. Two reviewers extracted data and recorded them in a pre-defined form and assessed the quality of articles using the Newcastle-Ottawa tool. Meta-analysis was done using the Comprehensive Meta-Analysis/2.0 software and MetaDisc. Results: A total number of 16 studies were eligible for the qualitative data synthesis, out of which 8 studies were included in the meta-analysis. All studies had high and medium quality. The forest plot analysis showed a sensitivity of 57% (95% CI: 53-63%), a specificity of 83% (95% CI: 80-85%), a positive likelihood ratio of 3.52 (95% CI: 2.44- 5.07), a negative likelihood ratio of 0.54 (95% CI: 0.37-0.79), and a diagnostic odds ratio of 6.95 (95% CI: 3.58-13.50). Conclusion: PAPP-A cannot be recommended on a routine basis for predicting fetal loss and still further research with a combination of other biomarkers is required. Key words: Pregnancy-associated plasma protein-A, Fetal loss, Pregnancy, Systematic review.

Abstract 309: Is Right Bundle Branch Block Associated with Poor Outcomes in the Setting of an Acute Coronary Syndrome? A Systematic Review and Meta-analysis

2014 ◽  
Vol 7 (suppl_1) ◽  
Author(s):  
Ahmad Hazem ◽  
Sunita Sharma ◽  
Amit Sharma ◽  
Cameron Leitch ◽  
Roopalakshmi Sharadanant ◽  
...  
Keyword(s):  
Systematic Review ◽  
Acute Coronary Syndrome ◽  
Right Bundle Branch Block ◽  
Risk Ratio ◽  
Meta Analysis ◽  
Forest Plot ◽  
Bundle Branch Block ◽  
Coronary Syndrome ◽  
All Cause Mortality

Importance: Up to 10% of patients with acute myocardial infarction (AMI) have right bundle branch block (RBBB), and RBBB has been associated with a higher risk of mortality. We performed a systematic review and meta-analysis to determine the prognostic significance of RBBB for patients with AMI. Acute coronary syndrome (ACS) Data Sources: We have systematically searched Ovid, Scopus and Web of Science through January 2014. Study Selection: Reviewers working independently and in duplicate screened all eligible abstracts, selecting studies that described all-cause mortality or cardiovascular death in patients with RBBB and suspected ACS. We excluded studies that reported unadjusted outcomes. Knowledge synthesis: We pooled risk ratio with hazard ratio in studies reporting those outcomes. When reported, odds ratio was converted into risk ratio using reported event rate in each study’s unexposed -read: non RBBB- group. Main Outcomes: All-cause mortality and cardiovascular mortality (death). Results: Eighteen studies were found that reported eligible data. All were observational studies, involving over 89,000 patients. In short-term follow up (up to 30 days), RBBB on presentation was associated with higher all-cause mortality rate, compared to patients without RBBB (RR 2.23, 95% CI 1.76-2.82). There was a trend for higher mortality at long-term follow up (range: 6 months-16 years) that did not reach statistical significance (RR 1.45, 95% CI 0.93-2.25). Figure-1 demonstrates the forest plot. Risk of bias was assessed with the Newcastle-Ottawa scale and majority of included studied were deemed moderate to high quality. Conclusion and Relevance: RBBB is associated with a more than 2-fold higher risk of all-cause mortality in patients with AMI at 30 days follow up. Patients with AMI and RBBB represent a high risk group for adverse outcomes. A sentence on the differential findings for new vs. old RBBB and association with outcomes could follow here.

scholarly journals Cryptosporidium animal species in Iran: a systematic review and meta-analysis

2020 ◽  
Vol 48 (1) ◽  
Author(s):  
Mousa Motavalli Haghi ◽  
Zohreh Khorshidvand ◽  
Salman Khazaei ◽  
Faezeh Foroughi-Parvar ◽  
Hossein Sarmadian ◽  
...  
Keyword(s):  
Systematic Review ◽  
Animal Species ◽  
Meta Analysis ◽  
Economic Loss ◽  
Forest Plot ◽  
Original Research ◽  
Significance Level ◽  
Severe Diarrhea ◽  
System Defect ◽  
Cattle And Sheep

Abstract Background Cryptosporidiosis is an acute and short-term infection which can lead to severe diarrhea (intestinal cryptosporidiosis) associated with a persistent cough in the host with immune system defect. This systematic review and meta-analysis was conducted to estimate the prevalence of animal Cryptosporidium species and the corresponding epidemiological aspects in Iran. Methods In this study, all original research articles relating to the animal cryptosporidiosis in Iran were collected from reliable databases using keywords. A meta-analysis was conducted separately for each subgroup, and heterogeneity among the studies was performed using the Q and I2 tests. Furthermore, it should be noticed that the significance level in the statistical analysis with the Comprehensive Meta-analysis software was considered to be less than 0.05. Finally, meta-analysis results were shown in forest plot with a 95% CI. Results In total, 4795 studies were included in the initial screening. Duplicated or non-original studies and the ones which did not meet our considered criteria were excluded from the list. Out of the 100 articles included in our first list for the meta-analysis, 40, 16, 13, 10, 9, 7, and 5 were done on cattle and calves, birds, dogs, sheep, rodents, camels, and horses, respectively. The prevalence rate of cryptosporidiosis among the birds, horses, rodents, camels, dogs, cattle, and sheep in Iran was estimated to be 7.5%, 19.5%, 20.8%, 8.4%, 4.9%, 14.4%, and 9.1%, respectively. Conclusion The different Cryptosporidium species have been found in different regions of Iran. Geographical region, climate, and domestic animals are considered as factors responsible for animal cryptosporidiosis prevalence in the area. Moreover, this parasite is zoonotic which causes disease in animals as well as humans which can result in economic loss.

scholarly journals Front-line staff's perspective on patient safety culture in Iranian medical centers: A systematic review and meta-analysis

2020 ◽  
Vol 31 (4) ◽  
pp. 193-207
Author(s):  
Omid Khosravizadeh ◽  
Mohammad Mohseni ◽  
Najmeh Baghian ◽  
Aisa Maleki ◽  
Ailar Hashtroodi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Patient Safety ◽  
Safety Culture ◽  
Medical Center ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Computer Software ◽  
Patient Safety Culture ◽  
Forest Plot

BACKGROUND: The prerequisite for promoting safety culture is to assess the existing safety culture level of institutes, because safety precautions without appropriate evaluation increase costs and unforeseen risks. OBJECTIVE: This study aimed to systematically review the status of patient safety culture from the perspective of clinical personnel at Iranian hospitals through a meta-analysis of studies using the Hospital Survey on Patient Safety Culture (HSOPSC) questionnaire. METHODS: The present systematic review and meta-analysis was conducted in 2018. Data were gathered by searching Google Scholar, Scopus, PubMed, and Web of Science databases up to November 2018. Search keywords were “patient”, “safety”, “culture”, “healthcare”, “hospital”, “medical center”, “HSOPSC tool”, and “Iran”. The search protocol was limited to 10 years. To estimate the PSC score, computer software CMA:2 (Comprehensive Meta-Analysis) was used. The presence of heterogeneity across the studies was assessed with the I2 statistic. A forest plot was used to report the results. Publication bias was assessed through a funnel plot. RESULTS: The meta-analysis of studies showed that the PSC score based on the random effect model was 52.7% (95% CI: 50.2%–55.2%), (Q = 522.3, df = 54, P < 0.05, I2 = 89.6). A mean of 12 dimensions of HSOPSC showed that the “Teamwork within units” dimension had the highest PSC score (67.2%) and “Non-punitive response to error” had the lowest score (40.4%). CONCLUSIONS: Managers and policymakers should be directed towards non-punitive responses to errors and persuade staff to report errors and execute the approach to learn from mistakes. Also, a periodic government evaluation of the patient safety culture will help further its sustainable development.

scholarly journals Protocol for systematic review and meta-analysis of treatment success rate among adult patients with tuberculosis in sub-Saharan Africa

BMJ Open ◽  
2018 ◽  
Vol 8 (12) ◽  
pp. e024559 ◽  
Author(s):  
Jonathan Izudi ◽  
Daniel Semakula ◽  
Richard Sennono ◽  
Imelda K Tamwesigire ◽  
Francis Bajunirwe
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Treatment Success ◽  
Adult Patients ◽  
Sub Saharan Africa ◽  
Forest Plot ◽  
Kappa Statistics ◽  
Success Rates ◽  
Ethical Approval ◽  
Sub Saharan

IntroductionTuberculosis (TB) is a leading cause of mortality globally. Despite being curable, treatment success rates (TSRs) among adult patients with bacteriologically confirmed pulmonary TB (BC-PTB) in sub-Saharan Africa (SSA) differ considerably. This protocol documents and presents an explicit plan of a systematic review and meta-analysis to summarise TSR among adult patients with BC-PTB in SSA.Methods and analysisTwo reviewers will search and extract data from MEDLINE, EMBASE, Ovid, Cumulative Index to Nursing and Allied Health Literature and Web of Science electronic databases. Observational and interventional studies published between 1 July 2008 and 30 June 2018, involving adult patients with BC-PTB will be eligible. Data abstraction disagreements will be resolved by consensus with a third reviewer, while percentage agreement computed with kappa statistics. TSR will be computed with Metaprop, a Stata command for pooling proportions using DerSimonian and Laird random effects model and presented in a forest plot with corresponding 95% CIs. Heterogeneity between included studies will be assessed with Cochran’s Q test and quantified with I-squared values. Publication bias will be evaluated with funnel plots and tested with Egger’s weighted regression. Time trends in TSR will be calculated with cumulative meta-analysis.Ethics and disseminationNo ethical approval will be needed because data from previous published studies in which informed consent was obtained by primary investigators will be retrieved and analysed. We will prepare a manuscript for publication in a peer-reviewed journal and present the results at conferences.PROSPERO registration numberCRD42018099151.

Sleep Restriction Effects on BP: Systematic Review & Meta-analysis of RCTs

2019 ◽  
Vol 42 (7) ◽  
pp. 567-576
Author(s):  
Shan Hu ◽  
Songbo Jing ◽  
Yixuan Gao
Keyword(s):  
Systematic Review ◽  
Blood Pressure ◽  
Weighted Mean Difference ◽  
Meta Analysis ◽  
Preliminary Evidence ◽  
Sleep Restriction ◽  
Forest Plot ◽  
Cross Sectional ◽  
Inverse Variance ◽  
Partial Sleep Deprivation

This systematic review and meta-analysis aimed to examine the effect of sleep restriction on blood pressure (BP) among healthy adults. Randomized controlled trials (RCTs) using partial sleep deprivation were included. The pooled effect size was calculated by the inverse variance method, and forest plot was used. Six studies were included (n = 10–43). Only one study obtained continuous BP readings. Overall, sleep restriction did not result in significant changes in systolic blood pressure (SBP) or diastolic blood pressure (DBP) and heart rate (HR). The respective weighted mean difference (MD) was 1.0 mmHg (95%CI, -2.3–4.2; p = 0.57), -0.4 mmHg (95%CI, -3.2–2.4; p = 0.80), and 2.0 bpm (95%CI, -2.2–6.2; p = 0.34). There is preliminary evidence suggesting that sleep restriction might affect sympathetic/parasympathetic modulation of cardiac autonomy and the inflammatory system. In this review, we did not find significant effects of sleep restriction on BP or HR measured by cross-sectional methods. More studies are warranted to confirm these findings by using continuous monitoring.

The diagnostic value of RASSF1A promoter methylation in prostate cancer: A systematic review and meta-analysis

2020 ◽  
Author(s):  
Su-Liang Li ◽  
Ye-Xing Li ◽  
Yun Ye ◽  
Xiao-Hua Yuan ◽  
Jian-Jun Wang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Systematic Review ◽  
Promoter Methylation ◽  
Predictive Accuracy ◽  
Meta Analysis ◽  
Methylation Status ◽  
Diagnostic Value ◽  
Cochrane Library ◽  
Comprehensive Search ◽  
Larger Sample

AbstractBackgroundRASSF1A promoter methylation is consistent with clinicopathological data and has good accuracy in distinguishing tumors. However, the diagnostic parameters vary among previous studies. A systematic review was conducted to explore the diagnostic value of RASSF1A promoter methylation in prostate cancer.MethodsA comprehensive search of the literature in the PubMed, Medline, Cochrane Library, Embase and ISI Web of Science databases up to May 21, 2020 was performed. STATA software version 12.0 and Meta-disc version 1.4 were used to analyze the data.ResultsThe pooled sensitivity was 0.64 (95% CI 0.61–0.66), the pooled specificity was 0.80 (95% CI 0.77–0.83), the PLR was 3.82 (95% CI 1.96–7.44), and the NLR was 0.29 (95% CI 0.16–0.52). Furthermore, the pooled DOR of RASSF1A promoter methylation for prostate cancer was 13.08 (95% CI: 6.56–26.08). The area under the summary ROC curve was 0.87 (95% CI: 0.84–0.90). The results of the meta-regression suggested that heterogeneity was mainly derived from publication year. Fagan’s nomogram showed that the predictive accuracy was increased significantly by detecting RASSF1A promoter methylation for diagnosing prostate cancer.ConclusionThis meta-analysis suggests that detection of the RASSF1A promoter methylation status can be used for the diagnosis of PCa. In the future, further analyses and studies of larger sample sizes in large centers are needed to confirm our conclusion.

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