Biofeedback Therapy Efficacy for Chronic Constipation: Meta-Analysis of 19 RCTs

A 2026 meta-analysis by Yuyuan Tu synthesizes results from 19 randomized controlled trials on biofeedback therapy for chronic constipation. The dataset, published on figshare under a CC-BY-4.0 license, includes statistical outcomes like risk ratios and mean differences for response rates and symptom scores. It aggregates studies retrieved from eight databases up to August 19, 2025.

Use Cases

• Conducting secondary meta-analysis based on aggregated risk ratios and mean differences.
• Evaluating the statistical significance of treatment outcomes based on reported p-values and confidence intervals.
• Assessing the safety profile of biofeedback therapy based on the analysis of adverse events.
• Comparing the efficacy of biofeedback therapy across different clinical trial designs.
• Investigating the relationship between symptom scores and quality of life scores in chronic constipation patients.

Strengths

• Includes results from 19 randomized controlled trials, a substantial number for a meta-analysis.
• Reports specific statistical measures, including risk ratios (RR), mean differences (MD), and standardized mean differences (SMD) with 95% confidence intervals.
• Methodological quality was assessed using the Cochrane risk of bias tool and evidence quality was evaluated with the GRADE approach.

Limitations

• The dataset is a 24.6 KB DOCX file, suggesting limited raw data and a focus on summary tables and text.
• Column-level documentation is absent; field semantics must be inferred from the manuscript text.
• The authors note the reliability of conclusions is limited by small sample sizes and methodological limitations of the included studies.

Provenance

Source

Yuyuan Tu via figshare.

Collection Method

Systematic review and meta-analysis of randomized controlled trials retrieved from eight databases.

Time Range

Studies published from database inception up to August 19, 2025.

Freshness

Last updated 2026-05-28 04:50:59; freshness should be verified.