Genetic polymorphisms of TP53 (rs1042522) and MDM2 (rs2279744) and colorectal cancer risk: An updated meta-analysis based on 59 case-control studies

Elshazli, Rami M.; Toraih, Eman A.; Elgaml, Abdelaziz; Kandil, Emad; Fawzy, Manal S.

doi:10.1016/j.gene.2020.144391

Cited by 26 publications

(17 citation statements)

References 91 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…17 The trial sequential analysis was employed to compute the statistical trustworthiness of this established meta-analysis by merging the cumulative sample sizes of all records to improve the power of findings. 18 If the cumulative Z-curve accomplished its target and transverses the appropriate boundaries, statistical significance is reached, and no further records are essential. Trial sequential analysis (TSA) software version 0.9.5.10 was applied in this procedure.…”

Section: Discussionmentioning

confidence: 99%

“…Next, the assessment of publication bias was processed using a funnel plot with Egger's regression test, with a two‐tailed p < .1 suggesting obvious publication bias 17 . The trial sequential analysis was employed to compute the statistical trustworthiness of this established meta‐analysis by merging the cumulative sample sizes of all records to improve the power of findings 18 . If the cumulative Z ‐curve accomplished its target and transverses the appropriate boundaries, statistical significance is reached, and no further records are essential.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Vitamin D insufficiency as a potential culprit in critical COVID‐19 patients

Munshi

Hussein

Toraih

et al. 2020

Journal of Medical Virology

Self Cite

167

140

View full text Add to dashboard Cite

Background: As an immune modulator, vitamin D has been implicated in the coronavirus disease-2019 (COVID-19) outcome. We aim to systematically explore the association of vitamin D serum levels with COVID-19 severity and prognosis. Methods: The standardized mean difference (SMD) or odds ratio and 95% confidence interval (CI) were applied to estimate pooled results from six studies. The prognostic performance of vitamin D serum levels for predicting adverse outcomes with detection of the best cutoff threshold was determined by receiver operating characteristic curve analysis. Decision tree analysis by combining vitamin D levels and clinical features was applied to predict severity in COVID-19 patients. Results: Mean vitamin D serum level of 376 patients, was 21.9 nmol/L (95% CI = 15.36-28.45). Significant heterogeneity was found (I 2 = 99.1%, p < .001). Patients with poor prognosis (N = 150) had significantly lower serum levels of vitamin D compared with those with good prognosis (N = 161), representing an adjusted standardized mean difference of −0.58 (95% Cl = −0.83 to −0.34, p < .001). Conclusion: Serum vitamin D levels could be implicated in the COVID-19 prognosis. Diagnosis of vitamin D deficiency could be a helpful adjunct in assessing patients'

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Vitamin D insufficiency as a potential culprit in critical COVID‐19 patients

Munshi

Hussein

Toraih

et al. 2020

Journal of Medical Virology

Self Cite

167

140

View full text Add to dashboard Cite

show abstract

“…Publication bias was assessed via Begg's funnel plot and Egger's linear regression approach using Comprehensive Meta‐analysis software 19 . An asymmetric funnel‐shape or a P value less than .1 indicated significant bias 20 …”

Section: Methodsmentioning

confidence: 99%

COVID‐19 and liver dysfunction: A systematic review and meta‐analysis of retrospective studies

Youssef

Hussein

Attia

et al. 2020

Journal of Medical Virology

Self Cite

View full text Add to dashboard Cite

Recently, Coronavirus Disease 2019 (COVID‐19) pandemic is the most significant global health crisis. In this study, we conducted a meta‐analysis to find the association between liver injuries and the severity of COVID‐19 disease. Online databases, including PubMed, Web of Science, Scopus, and Science direct, were searched to detect relevant publications up to 16 April 2020. Depending on the heterogeneity between studies, a fixed‐ or random‐effects model was applied to pool data. Publication bias Egger's test was also performed. Meta‐analysis of 20 retrospective studies (3428 patients), identified that patients with a severe manifestation of COVID‐19 exhibited significantly higher levels of alanine aminotransferase, aspartate aminotransferase, and bilirubin values with prolonged prothrombin time. Furthermore, lower albumin level was associated with a severe presentation of COVID‐19. Liver dysfunction was associated with a severe outcome of COVID‐19 disease. Close monitoring of the occurrence of liver dysfunction is beneficial in early warning of unfavorable outcomes.

show abstract

“…The statistical trustworthiness of this meta-analysis assessment was conducted using TSA through combining the cumulative sample sizes of all appropriate records with the threshold of statistical impact to diminish the accidental errors and enhance the intensity of expectations [18]. Two side trials with "type I error (α)" along with power set at 5% and 80% were employed.…”

Section: Trial Sequential Analysis (Tsa)mentioning

confidence: 99%

Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patients

et al. 2020

Self Cite

View full text Add to dashboard Cite

Objective Evidence-based characterization of the diagnostic and prognostic value of the hematological and immunological markers related to the epidemic of Coronavirus Disease 2019 (COVID-19) is critical to understand the clinical course of the infection and to assess in development and validation of biomarkers. Methods Based on systematic search in Web of Science, PubMed, Scopus, and Science Direct up to April 22, 2020, a total of 52 eligible articles with 6,320 laboratory-confirmed COVID-19 cohorts were included. Pairwise comparison between severe versus mild disease, Intensive Care Unit (ICU) versus general ward admission and expired versus survivors were performed for 36 laboratory parameters. The pooled standardized mean difference (SMD) and 95% confidence intervals (CI) were calculated using the DerSimonian Laird method/random effects model and converted to the Odds ratio (OR). The decision tree algorithm was employed to identify the key risk factor(s) attributed to severe COVID-19 disease. Results Cohorts with elevated levels of white blood cells (WBCs) (OR = 1.75), neutrophil count (OR = 2.62), D-dimer (OR = 3.97), prolonged prothrombin time (PT) (OR = 1.82), fibrinogen (OR PLOS ONE

show abstract

Genetic polymorphisms of TP53 (rs1042522) and MDM2 (rs2279744) and colorectal cancer risk: An updated meta-analysis based on 59 case-control studies

Cited by 26 publications

References 91 publications

Vitamin D insufficiency as a potential culprit in critical COVID‐19 patients

Vitamin D insufficiency as a potential culprit in critical COVID‐19 patients

COVID‐19 and liver dysfunction: A systematic review and meta‐analysis of retrospective studies

Diagnostic and prognostic value of hematological and immunological markers in COVID-19 infection: A meta-analysis of 6320 patients

Contact Info

Product

Resources

About