| Literature DB >> 25894886 |
Yan Xiangyong1, Yan Zhongsheng2, Liu Wenchao3, Ding Hui2, Qiao Shuzhou4, Chen Gang5, Wang XiaoHui6, Zhang Lian7.
Abstract
BACKGROUND: Bone cancer pain presents a clinical challenge with limitations of current treatments. Many patients seek additional therapies that may relieve pain. Many external applications of traditional Chinese medicines (EAs-TCMs) have been evaluated in clinical trials, but fewer are known about them outside of China. The objective of this study is to assess the efficacy for bone cancer pain.Entities:
Keywords: Bone cancer pain; Clinical trial; External application of traditional Chinese medicines
Mesh:
Substances:
Year: 2015 PMID: 25894886 PMCID: PMC4669368 DOI: 10.1007/s00520-015-2737-2
Source DB: PubMed Journal: Support Care Cancer ISSN: 0941-4355 Impact factor: 3.603
Fig. 1Flowchart showing the identification of studies included in the review
Studies included in the meta-analysis
| Lead author [ref] | Year | Study sites | Sample size (E/C) | Age (year, E/C) | Experimental intervention | Control intervention | Duration of treatments | The main ingredients of EA-TCM |
|---|---|---|---|---|---|---|---|---|
| Gao [ | 2008 | China | 21/20 | 64.43 ± 12.39/62.58 ± 12.15 | EA-TCM + MSSRT | MSSRT | 30 days | Camphol. Angelica. Red paeony root medicine. |
| Zhao [ | 2010 | China | 30/30 | 65.47 ± 10.79/67.03 ± 9.66 | EA-TCM + radiotherapy | Radiotherapy | 14 days | Indigo naturalis. Dragon’s blood Frankin-cense. Camphol. Myrrh |
| Liu [ | 2011 | China | 34/34 | 66.8 ± 13.2/68.3 ± 11.9 | EA-TCM + MSSRT | MSSRT | 1 month | Camphol. Angelica. Red paeony root medicine. |
| Gao [ | 2011 | China | 21/20 | 64.43 ± 12.39/62.58 ± 12.15 | EA-TCM + MSSRT | MSSRT | 14 days | Pseudobulbus Cremastrae Seu Pleiones |
| Wang [ | 2013 | China | 30/30 | 9. 67 ± 8.71/58.27 ± 7.06 | EA-TCM + PD | PD | 4 weeks | Pseudobulbus Cremastrae Seu Pleiones. Camphol. |
| Wang [ | 2014 | China | 132/132 | Unclear | EA-TCM + MSSRT | MSSRT | 7 days | Camphol. Yanhusuo, Nux vomica. |
Quality assessment of included studies
| First author | Year | Randomization | Allocation concealment | The form of double blind | Dropout or withdraw | ITT analysis | Baseline ( | Cochrane score |
|---|---|---|---|---|---|---|---|---|
| Gao [ | 2008 | Unclear | Unclear | Unclear | Unclear | Unclear | >0.5 | C |
| Zhao [ | 2010 | Digits table | Unclear | Unclear | Mentioned | Unclear | >0.5 | C |
| Liu [ | 2011 | Unclear | Unclear | Unclear | Unclear | Unclear | >0.5 | C |
| Gao [ | 2011 | Unclear | Unclear | Unclear | Unclear | Unclear | >0.5 | C |
| Wang [ | 2013 | Unclear | Unclear | Unclear | Unclear | Unclear | >0.5 | C |
| Wang [ | 2014 | Stratified randomization | Not described | Double blind | Mentioned | Unclear | >0.5 | B |
Fig. 2a Forest plot of complete response. b Forest plot of partial response. c Forest plot of comparison of total pain relief rate
Fig. 3Funnel plot for checking publication bias
Sensitivity analysis
| First author | Index | Before exclusion | After exclusion | Statistical significance |
|---|---|---|---|---|
| Gao [ | CR | RR = 1.49, 95 % CI = 1.33–1.67, | RR = 1.56, 95 % CI = 1.38–1.77, | No difference |
| Zhao [ | RR | RR = 5.38, 95 % CI = 2.81–10.31, | RR = 5.21, 95 % CI = 2.67–10.16, | No difference |