Abstract：
The purpose of this integrative review is to identify literature describing (a) subgrouping patients with cancer based on symptom experiences and their patterns of symptom changes over time and (b) methodologies of subgrouping patients with cancer based on symptom experiences.
PubMed®, CINAHL®, and PsycINFO® were searched through January 2019.
Studies were appraised for patterns of symptom change over time and methodologic approach using the QualSyst quality rating scale.
11 studies met inclusion criteria. Clinical variables that influence symptom patterns were diverse. The most common clustering method was latent variable analysis (73%), and all studies collected symptom data prospectively using survey analysis to assess symptoms.
The majority of studies (91%) observed that the symptom experience within the group of patients with cancer changed over time. Identifying groups of patients with similar symptom experiences is useful to determine which patients need more intensive symptom management over the trajectory of cancer treatment, which is essential to improve symptoms and quality of life.
PubMed®, CINAHL®, and PsycINFO® were searched through January 2019.
Studies were appraised for patterns of symptom change over time and methodologic approach using the QualSyst quality rating scale.
11 studies met inclusion criteria. Clinical variables that influence symptom patterns were diverse. The most common clustering method was latent variable analysis (73%), and all studies collected symptom data prospectively using survey analysis to assess symptoms.
The majority of studies (91%) observed that the symptom experience within the group of patients with cancer changed over time. Identifying groups of patients with similar symptom experiences is useful to determine which patients need more intensive symptom management over the trajectory of cancer treatment, which is essential to improve symptoms and quality of life.
摘要：
本综合综述的目的是确定描述（a）根据症状经历及其随时间变化的症状变化模式对癌症患者进行分组的文献，以及（b）根据症状经历对癌症患者进行分组的方法。
PubMed®,CINAHL®,和PsycINFO®在2019年1月进行了搜索。
使用QualSyst质量评定量表对症状随时间变化的模式和方法学方法进行评估。
11项研究符合纳入标准。影响症状模式的临床变量是多种多样的。最常见的聚类方法是潜在变量分析(73%)，所有研究均使用调查分析前瞻性地收集症状数据以评估症状.
大多数研究（91％）观察到癌症患者组中的症状经历随时间而变化。识别具有相似症状经历的患者群体有助于确定哪些患者在癌症治疗的轨迹上需要更深入的症状管理。这对改善症状和生活质量至关重要。
PubMed®,CINAHL®,和PsycINFO®在2019年1月进行了搜索。
使用QualSyst质量评定量表对症状随时间变化的模式和方法学方法进行评估。
11项研究符合纳入标准。影响症状模式的临床变量是多种多样的。最常见的聚类方法是潜在变量分析(73%)，所有研究均使用调查分析前瞻性地收集症状数据以评估症状.
大多数研究（91％）观察到癌症患者组中的症状经历随时间而变化。识别具有相似症状经历的患者群体有助于确定哪些患者在癌症治疗的轨迹上需要更深入的症状管理。这对改善症状和生活质量至关重要。
