| Title |
Effects of traditional Chinese medicine Shu Gan Jian Pi granules on patients with breast cancer and cancer-related fatigue: study protocol for a randomized controlled trial
|
|---|---|
| Published in |
Trials, April 2015
|
| DOI | 10.1186/s13063-015-0723-0 |
| Pubmed ID | |
| Authors |
Chen Li, GuoWang Yang, MingWei Yu, YongMei Xu, Na Xue, Nan Nan, XiaoMin Wang |
| Abstract |
Cancer-related fatigue (CRF) is a common and often long-lasting symptom for many breast cancer survivors. Evidence for its management is scarce. However, the Traditional Chinese Medicine (TCM) Shu Gan Jian Pi (SGJP) granules is an effective and practical therapy for CRF. We will conduct a multicenter, randomized, double-blind, placebo-controlled clinical trial to determine whether the SGJP granules can effectively manage CRF. Breast cancer survivors experiencing fatigue within 5 years of primary treatment completion will be enrolled and randomly assigned to Group S (SGJP) or Group P (placebo). The primary outcome measures will include Revised Piper Fatigue Scale score. Outcome measures will be collected at baseline and at weeks 2, 4, and 8. This study's findings may contribute to the development of an effective intervention for CRF. Current controlled trials ISRCTN12702489 , 14 August, 2013. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 14% |
| Student > Master | 5 | 11% |
| Professor | 3 | 7% |
| Unspecified | 3 | 7% |
| Student > Ph. D. Student | 3 | 7% |
| Other | 9 | 20% |
| Unknown | 15 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 11 | 25% |
| Nursing and Health Professions | 8 | 18% |
| Unspecified | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 19 | 43% |