Fig 1.
Illustrating the process of selecting the studies. The diagram depicts the number of records that were identified, included, and excluded, as well as the reasons for exclusions.
Table 1.
Basic characteristics of included studies.
Table 2.
The Newcastle-Ottawa Scale quality assessment.
Fig 2.
Illustrating the findings of the meta-analysis of the area under the curve (AUC) values. The studies included in the analysis were grouped based on the type of cases and controls. The random effects model was used, along with the inverse variance method, to calculate the pooled AUC value and its corresponding 95% confidence interval (CI). The heterogeneity among the studies was assessed using the I^2 and Tau^2 measures.
Fig 3.
Meta-analysis of histopathological characteristics.
Illustrating the findings of the meta-analysis of the odds ratios (ORs) calculated for the correlation between colorectal cancer pathological characteristics and MALAT1 expression. For better representation, the studies are categorized as OR >1 and <1. The random effects model was used, along with the inverse variance method, to calculate the pooled OR and its corresponding 95% confidence interval (CI). The heterogeneity among the studies was assessed using the I^2 and Tau^2 measures.
Table 3.
Summary of findings for meta-analysis of colorectal cancer histopathological characteristics based on MALAT1 expression.
Fig 4.
The overall survival and disease-free survival hazard ratios’ meta-analysis.
Illustrating the findings of the meta-analysis of the survival outcomes represented by hazard ratios (HRs). The random effects model was used, along with the inverse variance method, to calculate the pooled HR and its corresponding 95% confidence interval (CI). The heterogeneity among the studies was assessed using the I^2 and Tau^2 measures.