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Differences in Type Composition of Symptom Clusters as Predictors of Quality of Life in Patients with Meningioma and Glioma
Objectives of this study were to identify and compare symptom clusters in patients with meningioma and glioma and to assess and compare predictors of quality of life (QoL) in both patient groups. Data were collected using the MD Anderson Symptom Inventory–Brain Tumor Module, Functional Assessment of...
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Published in: | World neurosurgery 2017-02, Vol.98, p.50-59 |
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description | Objectives of this study were to identify and compare symptom clusters in patients with meningioma and glioma and to assess and compare predictors of quality of life (QoL) in both patient groups.
Data were collected using the MD Anderson Symptom Inventory–Brain Tumor Module, Functional Assessment of Cancer Therapy–General, and Karnofsky Performance Sale. Of 158 participating patients, 77 had meningioma, and 81 had glioma.
In patients with meningioma, 4 symptom clusters were identified with 55.4% total variance: 1) physical, 2) cognitive, 3) elimination-appearance, and 4) motor-sensory symptoms. In patients with glioma, 4 clusters with 67.3% total variance were identified: 1) treatment-related, 2) cognitive, 3) appearance-elimination, and 4) gastrointestinal symptoms. Predictors of QoL in patients with meningioma were Karnofsky Performance Scale score (β = 0.41, P < 0.001), cognitive symptom cluster (β = −0.36, P < 0.001), and physical symptom cluster (β = −0.32, P = 0.001), whereas treatment-related symptom cluster (β = −0.55, P < 0.001) was identified as a predictor of QoL in patients with glioma.
In this study, the type and composition of symptom clusters differed between patients with meningioma and glioma. Our data also provide evidence that even when participants reported mild symptoms, these clusters could be used to predict QoL in patients with meningioma and glioma. |
doi_str_mv | 10.1016/j.wneu.2016.10.085 |
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Data were collected using the MD Anderson Symptom Inventory–Brain Tumor Module, Functional Assessment of Cancer Therapy–General, and Karnofsky Performance Sale. Of 158 participating patients, 77 had meningioma, and 81 had glioma.
In patients with meningioma, 4 symptom clusters were identified with 55.4% total variance: 1) physical, 2) cognitive, 3) elimination-appearance, and 4) motor-sensory symptoms. In patients with glioma, 4 clusters with 67.3% total variance were identified: 1) treatment-related, 2) cognitive, 3) appearance-elimination, and 4) gastrointestinal symptoms. Predictors of QoL in patients with meningioma were Karnofsky Performance Scale score (β = 0.41, P < 0.001), cognitive symptom cluster (β = −0.36, P < 0.001), and physical symptom cluster (β = −0.32, P = 0.001), whereas treatment-related symptom cluster (β = −0.55, P < 0.001) was identified as a predictor of QoL in patients with glioma.
In this study, the type and composition of symptom clusters differed between patients with meningioma and glioma. Our data also provide evidence that even when participants reported mild symptoms, these clusters could be used to predict QoL in patients with meningioma and glioma.</description><identifier>ISSN: 1878-8750</identifier><identifier>EISSN: 1878-8769</identifier><identifier>DOI: 10.1016/j.wneu.2016.10.085</identifier><identifier>PMID: 27794512</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adult ; Brain Neoplasms - complications ; Brain Neoplasms - psychology ; Cluster Analysis ; Cognition - physiology ; Exercise - physiology ; Female ; Gastrointestinal Diseases - etiology ; Glioma ; Glioma - complications ; Glioma - psychology ; Humans ; Karnofsky Performance Status ; Male ; Meningeal Neoplasms - complications ; Meningeal Neoplasms - psychology ; Meningioma ; Meningioma - complications ; Meningioma - psychology ; Middle Aged ; Quality of life ; Quality of Life - psychology ; Surveys and Questionnaires ; Symptom cluster ; Young Adult</subject><ispartof>World neurosurgery, 2017-02, Vol.98, p.50-59</ispartof><rights>2016 Elsevier Inc.</rights><rights>Copyright © 2016 Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-a0ad2653f88e38d28a05f9ce7fe845f4162c27ffb68497861bba3de86237d9ca3</citedby><cites>FETCH-LOGICAL-c356t-a0ad2653f88e38d28a05f9ce7fe845f4162c27ffb68497861bba3de86237d9ca3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27794512$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Sung Reul</creatorcontrib><creatorcontrib>Shin, Yong Soon</creatorcontrib><creatorcontrib>Kim, Jeong Hoon</creatorcontrib><creatorcontrib>Choi, Minseon</creatorcontrib><creatorcontrib>Yoo, Sung-Hee</creatorcontrib><title>Differences in Type Composition of Symptom Clusters as Predictors of Quality of Life in Patients with Meningioma and Glioma</title><title>World neurosurgery</title><addtitle>World Neurosurg</addtitle><description>Objectives of this study were to identify and compare symptom clusters in patients with meningioma and glioma and to assess and compare predictors of quality of life (QoL) in both patient groups.
Data were collected using the MD Anderson Symptom Inventory–Brain Tumor Module, Functional Assessment of Cancer Therapy–General, and Karnofsky Performance Sale. Of 158 participating patients, 77 had meningioma, and 81 had glioma.
In patients with meningioma, 4 symptom clusters were identified with 55.4% total variance: 1) physical, 2) cognitive, 3) elimination-appearance, and 4) motor-sensory symptoms. In patients with glioma, 4 clusters with 67.3% total variance were identified: 1) treatment-related, 2) cognitive, 3) appearance-elimination, and 4) gastrointestinal symptoms. Predictors of QoL in patients with meningioma were Karnofsky Performance Scale score (β = 0.41, P < 0.001), cognitive symptom cluster (β = −0.36, P < 0.001), and physical symptom cluster (β = −0.32, P = 0.001), whereas treatment-related symptom cluster (β = −0.55, P < 0.001) was identified as a predictor of QoL in patients with glioma.
In this study, the type and composition of symptom clusters differed between patients with meningioma and glioma. Our data also provide evidence that even when participants reported mild symptoms, these clusters could be used to predict QoL in patients with meningioma and glioma.</description><subject>Adult</subject><subject>Brain Neoplasms - complications</subject><subject>Brain Neoplasms - psychology</subject><subject>Cluster Analysis</subject><subject>Cognition - physiology</subject><subject>Exercise - physiology</subject><subject>Female</subject><subject>Gastrointestinal Diseases - etiology</subject><subject>Glioma</subject><subject>Glioma - complications</subject><subject>Glioma - psychology</subject><subject>Humans</subject><subject>Karnofsky Performance Status</subject><subject>Male</subject><subject>Meningeal Neoplasms - complications</subject><subject>Meningeal Neoplasms - psychology</subject><subject>Meningioma</subject><subject>Meningioma - complications</subject><subject>Meningioma - psychology</subject><subject>Middle Aged</subject><subject>Quality of life</subject><subject>Quality of Life - psychology</subject><subject>Surveys and Questionnaires</subject><subject>Symptom cluster</subject><subject>Young Adult</subject><issn>1878-8750</issn><issn>1878-8769</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp9kE9v1DAQxS1ERau2X4AD8pHLbmPnjx2JC1pKi7SIIsrZ8tpjmFViB9uhWvXL19GWHpnLPI_evJF_hLxl1ZpVrLvarx88zGtedBmsK9m-ImdMCrmSoutfv-i2OiWXKe2rUjVrpKjfkFMuRN-0jJ-Rx0_oHETwBhJFT-8PE9BNGKeQMGPwNDj64zBOOYx0M8wpQ0xUJ3oXwaLJobyK4_usB8yHRW7RwRJ0pzOCz4k-YP5Nv4JH_wvDqKn2lt4Mi7wgJ04PCS6f-zn5-fn6fnO72n67-bL5uF2Zuu3ySlfa8q6tnZRQS8ulrlrXGxAOZNO6hnXccOHcrpNNL2THdjtdW5Adr4Xtja7Pyftj7hTDnxlSViMmA8OgPYQ5KSbLHclF2xQrP1pNDClFcGqKOOp4UKxSC3e1Vwt3tXBfZoV7WXr3nD_vRrAvK_8oF8OHowHKL_8iRJUMLsgtRjBZ2YD_y38CK3GVgg</recordid><startdate>201702</startdate><enddate>201702</enddate><creator>Kim, Sung Reul</creator><creator>Shin, Yong Soon</creator><creator>Kim, Jeong Hoon</creator><creator>Choi, Minseon</creator><creator>Yoo, Sung-Hee</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201702</creationdate><title>Differences in Type Composition of Symptom Clusters as Predictors of Quality of Life in Patients with Meningioma and Glioma</title><author>Kim, Sung Reul ; Shin, Yong Soon ; Kim, Jeong Hoon ; Choi, Minseon ; Yoo, Sung-Hee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-a0ad2653f88e38d28a05f9ce7fe845f4162c27ffb68497861bba3de86237d9ca3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Brain Neoplasms - complications</topic><topic>Brain Neoplasms - psychology</topic><topic>Cluster Analysis</topic><topic>Cognition - physiology</topic><topic>Exercise - physiology</topic><topic>Female</topic><topic>Gastrointestinal Diseases - etiology</topic><topic>Glioma</topic><topic>Glioma - complications</topic><topic>Glioma - psychology</topic><topic>Humans</topic><topic>Karnofsky Performance Status</topic><topic>Male</topic><topic>Meningeal Neoplasms - complications</topic><topic>Meningeal Neoplasms - psychology</topic><topic>Meningioma</topic><topic>Meningioma - complications</topic><topic>Meningioma - psychology</topic><topic>Middle Aged</topic><topic>Quality of life</topic><topic>Quality of Life - psychology</topic><topic>Surveys and Questionnaires</topic><topic>Symptom cluster</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Sung Reul</creatorcontrib><creatorcontrib>Shin, Yong Soon</creatorcontrib><creatorcontrib>Kim, Jeong Hoon</creatorcontrib><creatorcontrib>Choi, Minseon</creatorcontrib><creatorcontrib>Yoo, Sung-Hee</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>World neurosurgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Sung Reul</au><au>Shin, Yong Soon</au><au>Kim, Jeong Hoon</au><au>Choi, Minseon</au><au>Yoo, Sung-Hee</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Differences in Type Composition of Symptom Clusters as Predictors of Quality of Life in Patients with Meningioma and Glioma</atitle><jtitle>World neurosurgery</jtitle><addtitle>World Neurosurg</addtitle><date>2017-02</date><risdate>2017</risdate><volume>98</volume><spage>50</spage><epage>59</epage><pages>50-59</pages><issn>1878-8750</issn><eissn>1878-8769</eissn><abstract>Objectives of this study were to identify and compare symptom clusters in patients with meningioma and glioma and to assess and compare predictors of quality of life (QoL) in both patient groups.
Data were collected using the MD Anderson Symptom Inventory–Brain Tumor Module, Functional Assessment of Cancer Therapy–General, and Karnofsky Performance Sale. Of 158 participating patients, 77 had meningioma, and 81 had glioma.
In patients with meningioma, 4 symptom clusters were identified with 55.4% total variance: 1) physical, 2) cognitive, 3) elimination-appearance, and 4) motor-sensory symptoms. In patients with glioma, 4 clusters with 67.3% total variance were identified: 1) treatment-related, 2) cognitive, 3) appearance-elimination, and 4) gastrointestinal symptoms. Predictors of QoL in patients with meningioma were Karnofsky Performance Scale score (β = 0.41, P < 0.001), cognitive symptom cluster (β = −0.36, P < 0.001), and physical symptom cluster (β = −0.32, P = 0.001), whereas treatment-related symptom cluster (β = −0.55, P < 0.001) was identified as a predictor of QoL in patients with glioma.
In this study, the type and composition of symptom clusters differed between patients with meningioma and glioma. Our data also provide evidence that even when participants reported mild symptoms, these clusters could be used to predict QoL in patients with meningioma and glioma.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>27794512</pmid><doi>10.1016/j.wneu.2016.10.085</doi><tpages>10</tpages></addata></record> |
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subjects | Adult Brain Neoplasms - complications Brain Neoplasms - psychology Cluster Analysis Cognition - physiology Exercise - physiology Female Gastrointestinal Diseases - etiology Glioma Glioma - complications Glioma - psychology Humans Karnofsky Performance Status Male Meningeal Neoplasms - complications Meningeal Neoplasms - psychology Meningioma Meningioma - complications Meningioma - psychology Middle Aged Quality of life Quality of Life - psychology Surveys and Questionnaires Symptom cluster Young Adult |
title | Differences in Type Composition of Symptom Clusters as Predictors of Quality of Life in Patients with Meningioma and Glioma |
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