成人化疗患者的癌症症状群：系统评价和荟萃分析方案。
Cancer symptom clusters in adult patients undergoing chemotherapy: A systematic review and meta-analysis protocol.
机构信息
Health Sciences Center at the Federal University of Espírito Santo (UFES), Vitoria, Espírito Santo, Brazil.
Graduate Program in Nutrition and Health at the Federal University of Espírito Santo (UFES), Vitoria, Espírito Santo, Brazil.
出版信息
PLoS One. 2022 Sep 6;17(9):e0273411. doi: 10.1371/journal.pone.0273411. eCollection 2022.
BACKGROUND
In oncology, the prevalence of symptoms is preferentially analyzed in isolation instead of being considered in clusters. However, clinical practice shows that symptoms rarely occur separately but rather form clusters that share common underlying mechanisms in terms of intensity and severity, creating a synergistic effect among them, which can even help predict the development of future symptoms.
OBJECTIVE
To identify and gather evidence on the prevalence, composition, severity, and predictors of cancer symptom clusters in adult cancer patients undergoing chemotherapy.
METHODS
This systematic review and meta-analysis protocol was developed in compliance with PRISMA-P. Observational and experimental study designs will be included. MEDLINE/PubMed, Cochrane Library, Embase, CINAHL, PsycINFO, Web of Science, Scopus, LILACS, clinical trials.gov-NIH, the British Library, Google Scholar, and preprints [medRXiv] will be searched with no restrictions on idioms, dates, or settings. Two investigators will independently select the studies, perform data extraction, and critically appraise the risk of bias of the included studies. Heterogeneity among the studies will be assessed using the I2 statistic. If meta-analysis was feasible, a random-effect model analysis will be carried out. For data analysis, the pooled effect will be estimated considering 95% confidence interval and α = 5%. In addition, the certainty of evidence will be rated based on Cochrane methods in accordance with the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE).
DISCUSSION
To the best of our knowledge, this systematic review and meta-analysis will be the first to identify and critically assess evidence regarding the prevalence, composition, severity, and predictors of cancer symptom clusters in adult cancer patients undergoing chemotherapy. We intend to provide health professionals with subsidies to reflect on a better understanding of symptom clusters in adult cancer patients, with the aim of contributing to the development of evidence-based therapeutic interventions and success in clinical practice.
PROSPERO REGISTRATION NUMBER
CRD42021248406.
背景
在肿瘤学领域，症状的流行情况更倾向于单独进行分析，而不是将其视为聚类。然而，临床实践表明，症状很少单独出现，而是形成具有共同潜在机制的聚类，在强度和严重程度方面具有协同作用，这甚至有助于预测未来症状的发展。
目的
确定并收集关于正在接受化疗的成年癌症患者中癌症症状聚类的流行情况、组成、严重程度和预测因素的证据。
方法
本系统评价和荟萃分析方案是根据 PRISMA-P 制定的。将纳入观察性和实验性研究设计。将对 MEDLINE/PubMed、Cochrane 图书馆、Embase、CINAHL、PsycINFO、Web of Science、Scopus、LILACS、clinical trials.gov-NIH、大英图书馆、Google Scholar 和预印本[medRXiv]进行检索，不限制成语、日期或设置。两名调查员将独立选择研究、进行数据提取并批判性评估纳入研究的偏倚风险。将使用 I2 统计量评估研究之间的异质性。如果可行的话，将进行随机效应模型分析。对于数据分析，将考虑 95%置信区间和 α=5%，估计汇总效应。此外，将根据 Cochrane 方法，根据推荐、评估、开发和评估 (GRADE) 对证据的确定性进行评级。
讨论
据我们所知，这是第一项确定并批判性评估正在接受化疗的成年癌症患者中癌症症状聚类的流行情况、组成、严重程度和预测因素的证据的系统评价和荟萃分析。我们旨在为卫生专业人员提供补贴，以促使他们更好地了解成年癌症患者的症状聚类，旨在为基于证据的治疗干预措施的发展和临床实践的成功做出贡献。
前瞻性注册号
CRD42021248406。
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