Meta-Analysis of Digital Health Interventions for Colorectal Cancer Patient Outcomes

A meta-analysis document synthesizing results from 15 randomized controlled trials involving 2018 colorectal cancer patients. The study, authored by Mei-Ying Song and uploaded to figshare in 2026, evaluates the effects of digital health interventions on anxiety, depression, and quality of life. It includes pooled statistical analyses and assessments of evidence certainty using GRADE and ROB 2.0 frameworks.

Use Cases

• Conducting a secondary meta-analysis based on the reported standardized mean differences and confidence intervals for anxiety, depression, and quality of life.
• Studying the methodological quality of digital health RCTs using the referenced Cochrane Risk of Bias tool 2.0 assessments.
• Analyzing heterogeneity in treatment effects for cancer patients based on the reported I² statistics exceeding 90%.
• Reviewing the application of the GRADE framework for grading evidence certainty in digital health research.

Strengths

• The analysis is based on 15 randomized controlled trials, a recognized gold-standard study design.
• Includes quantitative results for three key patient-reported outcomes with specific effect sizes (SMDs) and confidence intervals.
• Applies established methodological tools (Cochrane ROB 2.0, GRADE framework) for quality and evidence assessment.
• The underlying literature search covered ten major databases up to February 2026.

Limitations

• The primary data file is a 3.2 MB DOCX document; the underlying trial-level data is not provided in a structured, machine-readable format.
• The description notes substantial statistical heterogeneity (I² between 93% and 96%) and low certainty of evidence for all outcomes.
• Row count and column-level documentation for any underlying data tables are absent, limiting immediate analysis.

Provenance

Source

Mei-Ying Song via figshare.

Collection Method

Systematic review and meta-analysis of randomized controlled trials identified from ten databases.

Time Range

Literature search from database inception to February 28, 2026.

Freshness

Last updated 2026-06-02 04:21:17.