自我管理对癌因性疲乏干预效果的Meta分析

Effectsof serf-management for cancer-related fatigue： a Meta-analysis

目的通过Meta分析探讨自我管理策略对癌症患者疲乏状况的干预效果。方法计算机检索CochraneLibrary、WebofScience、PubMed、Elsevier、中国生物医学文献数据库、中国知网、万方数据库中使用自我管理策略改善患者癌因性疲乏的随机对照研究，由2名研究者分别评价文献质量后，采用ReviewManager5-3进行统计分析。结果共纳入12篇文章，运用简短疲乏量表（BFI），癌症疲乏量表（CFS），癌症治疗功能评估疲乏量表（FACT．F），个人强度目录（CIS），多维度疲乏量表（MFI）测量患者癌因性疲乏症状，经Meta分析，其中二分类资料-BFI测量结果RR=0.75[95％CI（0．70，0．81），P〈0．01]，连续型资料一各量表测量结果SMD=-0．96[95％CI（-1．81--0．11），P=O．03]，CFS测量结果WMD=-10．69[95％CI（-12．37--9．01），P〈0．01]，FACT．F、CIS、MFI测量结果SMD=-0．22[95％CI（-0．40--O．04），P=0．01]，相比常规健康教育，自我管理策略能有效改善患者癌因性疲乏症状。结论自我管理干预能明显减轻癌症患者疲乏症状，但还需要更多高质量研究佐证研究结果。

Objective To explore the effects of self-management strategy on cancer-related fatigue patients though meta-analysis. Methods Randomized controlled trlals（RCTs） of self-management strategy on cancer-related fatigue were searched in databases including Cochrane Library, Web of Science, PubMed, Elsevier, CBM, CNKI, WanFang. After two researchers evaluated the literature quality, ReviewManager 5.3 was used to analyze. Results Twelve RCTs were retrieved and considered as eligible, using The Brief Fatigue Inventory （BFI）, Cancer Fatigue Scale （CFS）, Function Assessment of Cancer Therapy- Fatigue （FACT-F）, Checklist Individual Strength （CIS）, Multidimensional Fatigue Inventory （MFI）. According to the Meta-analysis, cancer-related fatigue could be effectively improved though self-management strategy. Two classification data-the results of BFI measurement RR=0.75 （95%C1： 0.70-0.81, P〈O.01）, continuous data- SMD=-0.96 （95%CI： -1.81--0.11, P=0.03）, CFS measurement results, WMD=-lO.69 （95%CI： -12.37--9.01, P〈0.01 ）, FACT- F, CIS, MFI measurement results, SMD=- 0.22 （95% CI：- 0.40-- 0.04,P=0.01 ）. Conclusions Using self-management strategy can significantly relieve cancer-related fatigue, and more high quality researches were needed to support the findings.