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Colorectal Dis ; 23(5): 1030-1042, 2021 05.
Article in English | MEDLINE | ID: covidwho-1012951

ABSTRACT

AIM: There is not sufficient evidence about whether stool DNA methylation tests allow prioritizing patients to colonoscopy. Due to the COVID-19 pandemic, there will be a wait-list for rescheduling colonoscopies once the mitigation is lifted. The aim of this meta-analysis was to evaluate the accuracy of stool DNA methylation tests in detecting colorectal cancer. METHODS: The PubMed, Cochrane Library and MEDLINE via Ovid were searched. Studies reporting the accuracy (Sackett phase 2 or 3) of stool DNA methylation tests to detect sporadic colorectal cancer were included. The DerSimonian-Laird method with random-effects model was utilized for meta-analysis. RESULTS: Forty-six studies totaling 16 149 patients were included in the meta-analysis. The pooled sensitivity and specificity of all single genes and combinations was 62.7% (57.7%, 67.4%) and 91% (89.5%, 92.2%), respectively. Combinations of genes provided higher sensitivity compared to single genes (80.8% [75.1%, 85.4%] vs. 57.8% [52.3%, 63.1%]) with no significant decrease in specificity (87.8% [84.1%, 90.7%] vs. 92.1% [90.4%, 93.5%]). The most accurate single gene was found to be SDC2 with a sensitivity of 83.1% (72.6%, 90.2%) and a specificity of 91.2% (88.6%, 93.2%). CONCLUSIONS: Stool DNA methylation tests have high specificity (92%) with relatively lower sensitivity (81%). Combining genes increases sensitivity compared to single gene tests. The single most accurate gene is SDC2, which should be considered for further research.


Subject(s)
COVID-19 , Colorectal Neoplasms/diagnosis , Early Detection of Cancer/statistics & numerical data , Feces/chemistry , Genetic Testing/statistics & numerical data , Adult , Biomarkers, Tumor/genetics , Colorectal Neoplasms/genetics , DNA Methylation/genetics , Early Detection of Cancer/methods , False Negative Reactions , False Positive Reactions , Female , Genetic Testing/methods , Humans , Male , Middle Aged , Odds Ratio , SARS-CoV-2 , Sensitivity and Specificity
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