Objective:To use Cite Space and VOSviewer to investigate the scientific production in the field of symptom clusters in cancer research.Methods:The search was performed using the terms“symptom clusters,”“cancer,”an...Objective:To use Cite Space and VOSviewer to investigate the scientific production in the field of symptom clusters in cancer research.Methods:The search was performed using the terms“symptom clusters,”“cancer,”and“oncology”on the Web of Science Core Collection database.The retrieval time was from 2001 to 2021,which covers the last 2 decades.Based on the production theory of scientific knowledge and the data mining of citations,data pertaining to the annual publications,journals,countries,organizations,authors,and keywords that produce symptom clusters in cancer research,as well as their cooperation(collaboration network),were extracted,and then both were clarified by the software tools VOSviewer(version 1.6.16)and Cite Space(version 6.1.R2).Results:A total of 1796 publications were retrieved between 2001 and 2021,and 473 relevant publications were included after screening.The results showed an increasing trend in published articles.The United States had the largest number of publications(261/473,55.18%),followed by China and Canada.The University of California,San Francisco,was the most productive institution.Current research hotspots included the analysis of symptom clusters and symptom management in patients with breast cancer and lung cancer,as well as any advanced cancer and cancer cachexia;fatigue-related symptom clusters and depression-anxiety symptom cluster;and the impacts of symptom clusters on quality of life.The research frontiers included analysis between health-related quality of life and symptom clusters,data mining in symptom clusters,research on the mental health status of cancer patients,and study of the mechanism and biological pathways of symptom clusters.Conclusions:The study provides insight into the global research perspective for the scientific progress on cancer symptom clusters,which suggests a growing scientific interest in this field,and more studies are warranted to guide symptom management.展开更多
Cancer survivors often experience multisymptom clusters, substantial discomfort and lower QOL (quality of life) than the general population. This article summarized the progress of the research on symptom clusters in ...Cancer survivors often experience multisymptom clusters, substantial discomfort and lower QOL (quality of life) than the general population. This article summarized the progress of the research on symptom clusters in cancer survivors, and reviewed the definitions, influencing factors, and identified approaches and interventions regarding symptom clusters. The findings allow recommendations to be made in clinical nursing to improve the QOL of cancer survivors. In future studies, longitudinal, large-sample and multicenter studies are recommended to obtain more in-depth information about the changes in symptom and symptom cluster experience perceived by groups of cancer survivors.展开更多
Breathlessness, fatigue, and anxiety are distressing symptoms for patients with advanced lung cancer, however, they are not relieved by palliative RT and are often viewed as neglected areas of clinical practice. This ...Breathlessness, fatigue, and anxiety are distressing symptoms for patients with advanced lung cancer, however, they are not relieved by palliative RT and are often viewed as neglected areas of clinical practice. This paper aims to review def initions of, and explore patients' experiences of, breathlessness, fatigue, and anxiety. Further, it will outline existing approaches, both pharmacological and non-pharmacological, to treat them. Current treatments and perceptions of these symptoms will be discussed in the context of Hong Kong health care service. The review of literature also shows that breathlessness, fatigue and anxiety appears to have similar emotional origins. A contemporary approach of using a common pyschoeducational intervention to treat these symptoms together as a cluster in end of life care will be discussed.展开更多
Aims: To examine how symptom cluster subgroups defined by extreme discordant composite scores, cut-off scores, or a median split influence statistical associations with peripheral cytokine levels in women with breast ...Aims: To examine how symptom cluster subgroups defined by extreme discordant composite scores, cut-off scores, or a median split influence statistical associations with peripheral cytokine levels in women with breast cancer. Background: Systemic cytokine dysregulation has been posited as a potential biological mechanism underlying symptom clusters in women with breast cancer. Symptom characteristics may play an important role in identifying cytokines of significant etiological importance, however, there is no consensus regarding to the ideal subgrouping technique to use. Design: A secondary analysis of data collected from a cross-sectional descriptive study of women with stage I-II breast cancer was used to examine and compare the relationships between peripheral cytokine levels and symptom subgroups defined by extreme discordant composite scores, cut-off scores, or a median split. Methods: Participant symptom scores were transformed into a composite score to account for variability in symptom intensity, frequency and interference. Cytokine levels in subgroups defined by composite scores within the highest and lowest 20% were contrasted with those composed from cut-off scores and a median split. Results: Subgroups defined by the composite score or cut-off scores resulted in similar statistical relationships with cytokine levels in contrast to the median split technique. The use of a median split for evaluating relationships between symptoms clusters and cytokine levels may increase the risk of a type I error. Conclusion: Composite and cut-off scores represent best techniques for defining symptom cluster subgroups in women with breast cancer. Using a consistent approach to define symptom clusters across studies may assist in identifying relevant biological mechanisms.展开更多
Multicollinearity constitutes shared variation among predictors that inflates standard errors of regression coefficients. Several years ago, it was proven that the common practice of mean centering in moderated regres...Multicollinearity constitutes shared variation among predictors that inflates standard errors of regression coefficients. Several years ago, it was proven that the common practice of mean centering in moderated regression cannot alleviate multicollinearity among variables comprising an interaction, but merely masks it. Residual centering (orthogonalizing) is unacceptable because it biases parameters for predictors from which the interaction derives, thus precluding interpretation of moderator effects. I propose and validate residual centering in sequential re-estimations of a moderated regression—sequential residual centering (SRC)—by revealing unbiased multicollinearity conditioning across the interaction and its related terms. Across simulations, SRC reduces variance inflation factors (VIF) regardless of distribution shape or pattern of regression coefficients across predictors. For any predictor, the reduced VIF is used to derive a lower standard error of its regression coefficient. A cancer sample illustrates SRC, which allows unbiased interpretations of symptom clusters. SRC can be applied efficiently to alleviate multicollinearity after data collection and shows promise for advancing synergistic frontiers of research.展开更多
OBJECTIVE: Apply spectral clustering to analyze the patterns of symptoms in patients with chronic gastritis(CG).METHODS: Based on 919 CG subjects, we applied mutual information feature selection to choose the positive...OBJECTIVE: Apply spectral clustering to analyze the patterns of symptoms in patients with chronic gastritis(CG).METHODS: Based on 919 CG subjects, we applied mutual information feature selection to choose the positively correlated symptoms with each pattern.Then, we used the Shi and Malik spectral clustering algorithm to select the top 20 correlated symptoms.RESULTS: We ascertained the results of six patterns.There were three categories for the pattern of accumulation of damp heat in the spleen-stomach(0.00332). There were six categories for the pattern of dampness obstructing the spleen-stomach(0.02466). There were two categories for the pattern of spleen-stomach Qi deficiency(0.013 89).There were three categories for the pattern of spleen-stomach deficiency cold(0.009 15). There were five categories for the pattern of liver-Qistagnation(0.01910).There were four categories for the pattern of stagnant heat in the liver-stomach(0.00585).CONCLUSION: Most of the spectral clustering results of the symptoms of CG patterns were in accordance with clinical experience and Traditional Chinese Medicine theory. Most categories suggested the nature and/or location of the disease.展开更多
目的识别癌症患者补充替代疗法特征及对症状群的干预效果,为患者症状群管理提供借鉴和参考。方法采用范围综述的方法,检索PubMed,Cochrane Library,Web of Science,Embase,PsycINFO,CINAHL,中国知网,万方和维普数据库,检索时限为2016年...目的识别癌症患者补充替代疗法特征及对症状群的干预效果,为患者症状群管理提供借鉴和参考。方法采用范围综述的方法,检索PubMed,Cochrane Library,Web of Science,Embase,PsycINFO,CINAHL,中国知网,万方和维普数据库,检索时限为2016年1月至2024年1月。结果纳入20项研究,从癌症研究对象、补充替代疗法干预特征、症状群类型、补充替代疗法效果评价4方面进行概括和总结。乳腺癌、晚期癌症和放化疗癌症患者是症状群管理中常见的研究对象;运动疗法、行为认知干预、中医特色疗法、多学科协作模式及特异性干预方案是症状群管理中常见的补充替代疗法;疲乏、心理、疼痛、消化道症状群是症状群管理中常见的干预类型。结论不同补充替代疗法类型,其干预效果及核心症状群尚存在差异,部分干预方案的效果有待进一步明确;现有补充替代疗法干预方案仍存在许多不足之处,未来研究应关注症状群的前哨和核心症状,基于症状管理理论构建规范化、个性化的症状群干预方案,从而更好地管理癌症患者的症状群。展开更多
目的:描述慢性阻塞性肺疾病急性加重(acute exacerbation of chronic obstructive pulmonary disease, AECOPD)病人多症状现状,对其多症状进行特征分类,为提供针对性的干预提供参考。方法:采用便利抽样法选取2018年5月—2020年1月某三...目的:描述慢性阻塞性肺疾病急性加重(acute exacerbation of chronic obstructive pulmonary disease, AECOPD)病人多症状现状,对其多症状进行特征分类,为提供针对性的干预提供参考。方法:采用便利抽样法选取2018年5月—2020年1月某三级甲等医院住院的202例AECOPD病人为研究对象,采用一般资料调查表、改良的呼吸困难指数分级(Modified Medical Research Council, mMRC)、修订版记忆症状评估量表、COPD自我效能量表对其进行问卷调查,采用主成分因子分析和聚类分析法对病人多症状特征及群体异质性进行特征分类。结果:分为多症状低度组(n=103)、多症状中度组(n=60)、多症状高度组(n=39)3个亚组,其中高度组病人mMRC得分明显高于其他两组(均P<0.01),呼吸困难管理、体力活动、情感波动维度得分及自我效能总分低于低度组(均P<0.05)。结论:AECOPD病人的多症状存在群体异质性,导致病人不同程度的困扰,多症状3个亚组的识别可为个体化症状管理提供参考。展开更多
文摘Objective:To use Cite Space and VOSviewer to investigate the scientific production in the field of symptom clusters in cancer research.Methods:The search was performed using the terms“symptom clusters,”“cancer,”and“oncology”on the Web of Science Core Collection database.The retrieval time was from 2001 to 2021,which covers the last 2 decades.Based on the production theory of scientific knowledge and the data mining of citations,data pertaining to the annual publications,journals,countries,organizations,authors,and keywords that produce symptom clusters in cancer research,as well as their cooperation(collaboration network),were extracted,and then both were clarified by the software tools VOSviewer(version 1.6.16)and Cite Space(version 6.1.R2).Results:A total of 1796 publications were retrieved between 2001 and 2021,and 473 relevant publications were included after screening.The results showed an increasing trend in published articles.The United States had the largest number of publications(261/473,55.18%),followed by China and Canada.The University of California,San Francisco,was the most productive institution.Current research hotspots included the analysis of symptom clusters and symptom management in patients with breast cancer and lung cancer,as well as any advanced cancer and cancer cachexia;fatigue-related symptom clusters and depression-anxiety symptom cluster;and the impacts of symptom clusters on quality of life.The research frontiers included analysis between health-related quality of life and symptom clusters,data mining in symptom clusters,research on the mental health status of cancer patients,and study of the mechanism and biological pathways of symptom clusters.Conclusions:The study provides insight into the global research perspective for the scientific progress on cancer symptom clusters,which suggests a growing scientific interest in this field,and more studies are warranted to guide symptom management.
文摘Cancer survivors often experience multisymptom clusters, substantial discomfort and lower QOL (quality of life) than the general population. This article summarized the progress of the research on symptom clusters in cancer survivors, and reviewed the definitions, influencing factors, and identified approaches and interventions regarding symptom clusters. The findings allow recommendations to be made in clinical nursing to improve the QOL of cancer survivors. In future studies, longitudinal, large-sample and multicenter studies are recommended to obtain more in-depth information about the changes in symptom and symptom cluster experience perceived by groups of cancer survivors.
文摘Breathlessness, fatigue, and anxiety are distressing symptoms for patients with advanced lung cancer, however, they are not relieved by palliative RT and are often viewed as neglected areas of clinical practice. This paper aims to review def initions of, and explore patients' experiences of, breathlessness, fatigue, and anxiety. Further, it will outline existing approaches, both pharmacological and non-pharmacological, to treat them. Current treatments and perceptions of these symptoms will be discussed in the context of Hong Kong health care service. The review of literature also shows that breathlessness, fatigue and anxiety appears to have similar emotional origins. A contemporary approach of using a common pyschoeducational intervention to treat these symptoms together as a cluster in end of life care will be discussed.
文摘Aims: To examine how symptom cluster subgroups defined by extreme discordant composite scores, cut-off scores, or a median split influence statistical associations with peripheral cytokine levels in women with breast cancer. Background: Systemic cytokine dysregulation has been posited as a potential biological mechanism underlying symptom clusters in women with breast cancer. Symptom characteristics may play an important role in identifying cytokines of significant etiological importance, however, there is no consensus regarding to the ideal subgrouping technique to use. Design: A secondary analysis of data collected from a cross-sectional descriptive study of women with stage I-II breast cancer was used to examine and compare the relationships between peripheral cytokine levels and symptom subgroups defined by extreme discordant composite scores, cut-off scores, or a median split. Methods: Participant symptom scores were transformed into a composite score to account for variability in symptom intensity, frequency and interference. Cytokine levels in subgroups defined by composite scores within the highest and lowest 20% were contrasted with those composed from cut-off scores and a median split. Results: Subgroups defined by the composite score or cut-off scores resulted in similar statistical relationships with cytokine levels in contrast to the median split technique. The use of a median split for evaluating relationships between symptoms clusters and cytokine levels may increase the risk of a type I error. Conclusion: Composite and cut-off scores represent best techniques for defining symptom cluster subgroups in women with breast cancer. Using a consistent approach to define symptom clusters across studies may assist in identifying relevant biological mechanisms.
文摘Multicollinearity constitutes shared variation among predictors that inflates standard errors of regression coefficients. Several years ago, it was proven that the common practice of mean centering in moderated regression cannot alleviate multicollinearity among variables comprising an interaction, but merely masks it. Residual centering (orthogonalizing) is unacceptable because it biases parameters for predictors from which the interaction derives, thus precluding interpretation of moderator effects. I propose and validate residual centering in sequential re-estimations of a moderated regression—sequential residual centering (SRC)—by revealing unbiased multicollinearity conditioning across the interaction and its related terms. Across simulations, SRC reduces variance inflation factors (VIF) regardless of distribution shape or pattern of regression coefficients across predictors. For any predictor, the reduced VIF is used to derive a lower standard error of its regression coefficient. A cancer sample illustrates SRC, which allows unbiased interpretations of symptom clusters. SRC can be applied efficiently to alleviate multicollinearity after data collection and shows promise for advancing synergistic frontiers of research.
基金Supported by the National Natural Science Foundation of China[the Patterns Differentiation Mode of Main TCM Clinical Symptoms Based on Complex System Method(No.81270050)Information Extraction From TCM Inquiry and the Deducting Method of Patterns Differentiation Based on Feature Selection(No.30901897)+2 种基金Common Syndrome Diagnosis of Traditional Chinese Medicine Based on The Integration of Four Diagnosis Methods(No.81173199)]College Students' Scientific Innovation Foundation of Shanghai University of TCM[SHUTCMCXHDZ(2011)03]the Foundation for Training Talents of National Basic Scientific Research(No.J1103607)
文摘OBJECTIVE: Apply spectral clustering to analyze the patterns of symptoms in patients with chronic gastritis(CG).METHODS: Based on 919 CG subjects, we applied mutual information feature selection to choose the positively correlated symptoms with each pattern.Then, we used the Shi and Malik spectral clustering algorithm to select the top 20 correlated symptoms.RESULTS: We ascertained the results of six patterns.There were three categories for the pattern of accumulation of damp heat in the spleen-stomach(0.00332). There were six categories for the pattern of dampness obstructing the spleen-stomach(0.02466). There were two categories for the pattern of spleen-stomach Qi deficiency(0.013 89).There were three categories for the pattern of spleen-stomach deficiency cold(0.009 15). There were five categories for the pattern of liver-Qistagnation(0.01910).There were four categories for the pattern of stagnant heat in the liver-stomach(0.00585).CONCLUSION: Most of the spectral clustering results of the symptoms of CG patterns were in accordance with clinical experience and Traditional Chinese Medicine theory. Most categories suggested the nature and/or location of the disease.
文摘目的识别癌症患者补充替代疗法特征及对症状群的干预效果,为患者症状群管理提供借鉴和参考。方法采用范围综述的方法,检索PubMed,Cochrane Library,Web of Science,Embase,PsycINFO,CINAHL,中国知网,万方和维普数据库,检索时限为2016年1月至2024年1月。结果纳入20项研究,从癌症研究对象、补充替代疗法干预特征、症状群类型、补充替代疗法效果评价4方面进行概括和总结。乳腺癌、晚期癌症和放化疗癌症患者是症状群管理中常见的研究对象;运动疗法、行为认知干预、中医特色疗法、多学科协作模式及特异性干预方案是症状群管理中常见的补充替代疗法;疲乏、心理、疼痛、消化道症状群是症状群管理中常见的干预类型。结论不同补充替代疗法类型,其干预效果及核心症状群尚存在差异,部分干预方案的效果有待进一步明确;现有补充替代疗法干预方案仍存在许多不足之处,未来研究应关注症状群的前哨和核心症状,基于症状管理理论构建规范化、个性化的症状群干预方案,从而更好地管理癌症患者的症状群。
文摘目的:描述慢性阻塞性肺疾病急性加重(acute exacerbation of chronic obstructive pulmonary disease, AECOPD)病人多症状现状,对其多症状进行特征分类,为提供针对性的干预提供参考。方法:采用便利抽样法选取2018年5月—2020年1月某三级甲等医院住院的202例AECOPD病人为研究对象,采用一般资料调查表、改良的呼吸困难指数分级(Modified Medical Research Council, mMRC)、修订版记忆症状评估量表、COPD自我效能量表对其进行问卷调查,采用主成分因子分析和聚类分析法对病人多症状特征及群体异质性进行特征分类。结果:分为多症状低度组(n=103)、多症状中度组(n=60)、多症状高度组(n=39)3个亚组,其中高度组病人mMRC得分明显高于其他两组(均P<0.01),呼吸困难管理、体力活动、情感波动维度得分及自我效能总分低于低度组(均P<0.05)。结论:AECOPD病人的多症状存在群体异质性,导致病人不同程度的困扰,多症状3个亚组的识别可为个体化症状管理提供参考。
