Efficacy of TEAS and Acupressure for Chemotherapy Reactions in 198 Breast Cancer Patients
by Jiang Yuan·Updated 2mo ago
35.0 KB1files
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Description
198 female breast cancer patients were randomized into control, transcutaneous electrical acupoint stimulation (TEAS), and acupressure groups over four chemotherapy cycles. The dataset likely contains longitudinal measurements of nausea, vomiting, sleep quality, anxiety, depression, and quality of life. Results from this clinical trial, registered as ChiCTR2300077667, show dynamic and distinct therapeutic effects for each intervention across the treatment course.
Use Cases
Compare longitudinal intervention effects on chemotherapy-induced nausea and vomiting (CINV) based on the described multi-cycle follow-up.
Model the cumulative therapeutic effect of TEAS on quality of life and sleep quality mentioned in the results.
Analyze the time-interaction effects for acupressure on anxiety and depression symptoms described in the study.
Evaluate intention-to-treat (ITT) and per-protocol (PPS) analysis outcomes referenced in the methodology.
Strengths
Data from a randomized clinical trial with 198 participants, providing a structured experimental design.
Longitudinal follow-up over four chemotherapy cycles, allowing for analysis of dynamic effects.
Analysis includes generalized estimating equations (GEE) and post-hoc comparisons, suggesting statistical rigor.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
The dataset is very small at 35.0 KB, indicating limited scope or summary-level data.
Provenance
Source
figshare, author Jiang Yuan.
Collection Method
Data collected from a randomized clinical trial with simple randomization using R4.4.2.
Time Range
Temporal coverage of the trial is not specified in the provided metadata.
Freshness
Last updated 2026-04-15 04:37:16; freshness should be verified.
Geography
Spatial coverage is not specified in the provided metadata.
Primary data file is in DOCX format, which may require conversion or extraction for analysis.