Data Sheet 1_Acupuncture for irritable bowel syndrome comorbid with anxiety and depression

A 32.6 KB study protocol document outlines a placebo run-in, randomized controlled trial investigating acupuncture for irritable bowel syndrome (IBS) patients with comorbid anxiety and depression. The protocol, authored by Xuezhou Wang and published on figshare in 2026, details a trial with 80 eligible patients, a 4-week intervention, and an 8-week follow-up period. Primary and secondary outcomes include the IBS Symptom Severity Scale (IBS-SSS), Hospital Anxiety and Depression Scale (HADS), and safety monitoring.

Use Cases

• Analyzing clinical trial design and outcome measures based on the described IBS-SSS and HADS endpoints.
• Studying placebo response exclusion methods based on the described sham acupuncture run-in period.
• Examining safety and blinding assessment protocols for acupuncture interventions as detailed in the trial methods.

Strengths

• The protocol is clearly structured with defined primary and secondary outcomes, including IBS-SSS and HADS scores.
• The trial design includes a placebo run-in period to exclude strong placebo responders, a specific methodological strength.
• The document is licensed under CC-BY-4.0, allowing for open sharing and reuse.

Limitations

• The dataset is a 32.6 KB DOCX file containing a study protocol, not the underlying clinical trial data itself.
• Row count and column-level documentation for any potential data are absent; field semantics must be inferred after download.
• The description metadata is limited to the protocol summary; actual data quality requires manual inspection.

Provenance

Source

figshare, authored by Xuezhou Wang.

Collection Method

Likely a manually authored study protocol document for a planned clinical trial.

Time Range

The protocol describes a future trial; temporal coverage of any resulting data is not specified.

Freshness

Last updated 2026-04-22 05:46:22; freshness should be verified.

Geography

Geography is not specified in the provided metadata.