{"title":"癌症患者在放疗前、放疗中和放疗后的疲劳变化:荟萃分析","authors":"Chia-Ling Li, Pei-Ying Chen, Tsui-Yun Yang, Joseph Tung-Chieh Chang, Woung-Ru Tang, Mei-Ling Chen","doi":"10.1111/wvn.12672","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Fatigue is a common symptom in cancer patients receiving radiotherapy. However, previous studies report inconsistent patterns of fatigue change.</p><p><strong>Aim: </strong>The aim of this study was to estimate changes in fatigue among patients with cancer before, during, and after radiotherapy.</p><p><strong>Methods: </strong>Five databases (PubMed, SDOL, CINAHL Plus with Full Text, Medline [ProQuest], and ProQuest Dissertations) were searched for studies published from January 2006 to May 2021. Three effect sizes of fatigue change (immediate, short-term, and long-term) were calculated for each primary study using standardized mean difference. A random-effect model was used to combine effect sizes across studies. Subgroup analyses and meta-regression were performed to identify potential categorical and continuous moderators, respectively.</p><p><strong>Results: </strong>Sixty-five studies were included in this meta-analysis. The weighted mean effect size for immediate, short-term, and long-term effects was 0.409 (p < .001; 95% CI [0.280, 0.537]), 0.303 (p < .001; 95% CI [0.189, 0.417]), and 0.201 (p = .05; 95% CI [-0.001, 0.404]), respectively. Studies with prostate cancer patients had a significantly higher short-term (0.588) and long-term weight mean effect size (0.531) than studies with breast (0.128, -0.072) or other cancers (0.287, 0.215). Higher radiotherapy dosage was significantly associated with a higher effect size for both immediate (β = .0002, p < .05) and short-term (β = .0002, p < .05) effect.</p><p><strong>Linking evidence to action: </strong>Findings from this meta-analysis indicated that radiotherapy-induced fatigue (RIF) exist for more than 3 months after the completion of treatment. Assessment of radiation-induced fatigue in cancer patients should extend long after treatment completion, especially for patients with prostate cancer and patients receiving a higher radiation dose. Interventions to reduce fatigue tailored for different treatment phases may be developed.</p>","PeriodicalId":49355,"journal":{"name":"Worldviews on Evidence-Based Nursing","volume":" ","pages":"234-244"},"PeriodicalIF":3.4000,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Changes in fatigue among cancer patients before, during, and after radiation therapy: A meta-analysis.\",\"authors\":\"Chia-Ling Li, Pei-Ying Chen, Tsui-Yun Yang, Joseph Tung-Chieh Chang, Woung-Ru Tang, Mei-Ling Chen\",\"doi\":\"10.1111/wvn.12672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Fatigue is a common symptom in cancer patients receiving radiotherapy. However, previous studies report inconsistent patterns of fatigue change.</p><p><strong>Aim: </strong>The aim of this study was to estimate changes in fatigue among patients with cancer before, during, and after radiotherapy.</p><p><strong>Methods: </strong>Five databases (PubMed, SDOL, CINAHL Plus with Full Text, Medline [ProQuest], and ProQuest Dissertations) were searched for studies published from January 2006 to May 2021. Three effect sizes of fatigue change (immediate, short-term, and long-term) were calculated for each primary study using standardized mean difference. A random-effect model was used to combine effect sizes across studies. Subgroup analyses and meta-regression were performed to identify potential categorical and continuous moderators, respectively.</p><p><strong>Results: </strong>Sixty-five studies were included in this meta-analysis. The weighted mean effect size for immediate, short-term, and long-term effects was 0.409 (p < .001; 95% CI [0.280, 0.537]), 0.303 (p < .001; 95% CI [0.189, 0.417]), and 0.201 (p = .05; 95% CI [-0.001, 0.404]), respectively. Studies with prostate cancer patients had a significantly higher short-term (0.588) and long-term weight mean effect size (0.531) than studies with breast (0.128, -0.072) or other cancers (0.287, 0.215). Higher radiotherapy dosage was significantly associated with a higher effect size for both immediate (β = .0002, p < .05) and short-term (β = .0002, p < .05) effect.</p><p><strong>Linking evidence to action: </strong>Findings from this meta-analysis indicated that radiotherapy-induced fatigue (RIF) exist for more than 3 months after the completion of treatment. Assessment of radiation-induced fatigue in cancer patients should extend long after treatment completion, especially for patients with prostate cancer and patients receiving a higher radiation dose. 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引用次数: 0
摘要
背景疲劳是接受放疗的癌症患者的常见症状。目的:本研究旨在估计癌症患者在放疗前、放疗期间和放疗后的疲劳变化:检索了五个数据库(PubMed、SDOL、CINAHL Plus with Full Text、Medline [ProQuest] 和 ProQuest Dissertations)中 2006 年 1 月至 2021 年 5 月期间发表的研究。使用标准化均值差计算了每项主要研究中疲劳变化的三个效应大小(即时、短期和长期)。采用随机效应模型合并各研究的效应大小。分别进行了分组分析和元回归,以确定潜在的分类调节因子和连续调节因子:本次荟萃分析共纳入 65 项研究。即时效应、短期效应和长期效应的加权平均效应大小为 0.409(p 将证据与行动联系起来:这项荟萃分析的结果表明,放疗引起的疲劳(RIF)在治疗结束后的三个月内都会存在。对癌症患者放疗所致疲劳的评估应在治疗结束后的较长时间内进行,尤其是前列腺癌患者和接受较高放射剂量的患者。可针对不同的治疗阶段制定减少疲劳的干预措施。
Changes in fatigue among cancer patients before, during, and after radiation therapy: A meta-analysis.
Background: Fatigue is a common symptom in cancer patients receiving radiotherapy. However, previous studies report inconsistent patterns of fatigue change.
Aim: The aim of this study was to estimate changes in fatigue among patients with cancer before, during, and after radiotherapy.
Methods: Five databases (PubMed, SDOL, CINAHL Plus with Full Text, Medline [ProQuest], and ProQuest Dissertations) were searched for studies published from January 2006 to May 2021. Three effect sizes of fatigue change (immediate, short-term, and long-term) were calculated for each primary study using standardized mean difference. A random-effect model was used to combine effect sizes across studies. Subgroup analyses and meta-regression were performed to identify potential categorical and continuous moderators, respectively.
Results: Sixty-five studies were included in this meta-analysis. The weighted mean effect size for immediate, short-term, and long-term effects was 0.409 (p < .001; 95% CI [0.280, 0.537]), 0.303 (p < .001; 95% CI [0.189, 0.417]), and 0.201 (p = .05; 95% CI [-0.001, 0.404]), respectively. Studies with prostate cancer patients had a significantly higher short-term (0.588) and long-term weight mean effect size (0.531) than studies with breast (0.128, -0.072) or other cancers (0.287, 0.215). Higher radiotherapy dosage was significantly associated with a higher effect size for both immediate (β = .0002, p < .05) and short-term (β = .0002, p < .05) effect.
Linking evidence to action: Findings from this meta-analysis indicated that radiotherapy-induced fatigue (RIF) exist for more than 3 months after the completion of treatment. Assessment of radiation-induced fatigue in cancer patients should extend long after treatment completion, especially for patients with prostate cancer and patients receiving a higher radiation dose. Interventions to reduce fatigue tailored for different treatment phases may be developed.
期刊介绍:
The leading nursing society that has brought you the Journal of Nursing Scholarship is pleased to bring you Worldviews on Evidence-Based Nursing. Now publishing 6 issues per year, this peer-reviewed journal and top information resource from The Honor Society of Nursing, Sigma Theta Tau International, uniquely bridges knowledge and application, taking a global approach in its presentation of research, policy and practice, education and management, and its link to action in real world settings.
Worldviews on Evidence-Based Nursing is written especially for:
Clinicians
Researchers
Nurse leaders
Managers
Administrators
Educators
Policymakers
Worldviews on Evidence-Based Nursing is a primary source of information for using evidence-based nursing practice to improve patient care by featuring:
Knowledge synthesis articles with best practice applications and recommendations for linking evidence to action in real world practice, administra-tive, education and policy settings
Original articles and features that present large-scale studies, which challenge and develop the knowledge base about evidence-based practice in nursing and healthcare
Special features and columns with information geared to readers’ diverse roles: clinical practice, education, research, policy and administration/leadership
Commentaries about current evidence-based practice issues and developments
A forum that encourages readers to engage in an ongoing dialogue on critical issues and questions in evidence-based nursing
Reviews of the latest publications and resources on evidence-based nursing and healthcare
News about professional organizations, conferences and other activities around the world related to evidence-based nursing
Links to other global evidence-based nursing resources and organizations.