Symptom Clusters in Ovarian Cancer Patients With Chemotherapy After Surgery

Huang, Juan; Gu, Liyan; Zhang, Lingjuan; Lü, Xiaoying; Zhuang, Wei; Yang, Yan

doi:10.1097/ncc.0000000000000252

Cited by 58 publications

(95 citation statements)

References 49 publications

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“…Of the few self-reported symptom studies that have been conducted in patients with ovarian cancer, our results are comparable with 2 studies using MSAS, where mean numbers of reported symptoms were 11.2 9 and 10.0, 24 compared with 10.7 in our study. The most prevalent symptoms reported in the study by Portenoy et al 9 were pain, lack of energy, worrying, feeling sad, feeling nervous, and insomnia, which are identical with the most prevalent symptoms in our study, whereas the 5 symptoms with highest prevalence in the study by Huang et al 24 were lack of energy, hair loss, difficulty sleeping, lack of appetite, and anxiety. Thus, lack of energy seems to be a predominant symptom across different studies.…”

Section: Discussionsupporting

confidence: 85%

Symptom Experience and Self-rated Physical Functioning in Patients With Ovarian Cancer Receiving Chemotherapy

Vistad

Cvancarova

Astrup

et al. 2018

International Journal of Gynecological Cancer

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A high symptom burden was reported in this cohort of patients with ovarian cancer mainly treated with palliative intent. Low self-rated physical functioning was strongly associated with high symptom burden for the 6-month period. When chemotherapy is discussed with patients with ovarian cancer with low physical functioning, possible palliation benefits must be weighed against the added risk of long-term distressful symptoms that chemotherapy implies.

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Section: Discussionsupporting

confidence: 85%

Symptom Experience and Self-rated Physical Functioning in Patients With Ovarian Cancer Receiving Chemotherapy

Vistad

Cvancarova

Astrup

et al. 2018

International Journal of Gynecological Cancer

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“…To our knowledge, no other lung cancer study used the MSAS (which assesses multiple skin, hair, mouth, and appearance symptoms) to identify symptom clusters. However, when the MSAS was used in studies of patients with breast cancer, 24 ovarian cancer, 56 and a heterogeneous group of cancer diagnoses, 57 a similar epithelial symptom cluster was found. Further research is needed to confirm the presence of an epithelial cluster in lung cancer patients.…”

Section: Discussionmentioning

confidence: 92%

Differences in Symptom Clusters Identified Using Ratings of Symptom Occurrence vs. Severity in Lung Cancer Patients Receiving Chemotherapy

Wong

Cooper

Paul

et al. 2017

Journal of Pain and Symptom Management

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Context An important question in symptom clusters research is whether the number and types of symptom clusters vary based on the specific dimension of the symptom experience used to create the clusters. Objectives Given that lung cancer patients undergoing chemotherapy (CTX) report an average of 14 co-occurring symptoms and studies of symptom clusters in these patients are limited, the purpose of this study, in lung cancer patients undergoing CTX (n=145), was to identify whether the number and types of symptom clusters differed based on whether symptom occurrence rates or symptom severity ratings were used to create the clusters. Methods A modified version of the Memorial Symptom Assessment Scale was used to assess for the occurrence and severity of 38 symptoms, one week after the administration of CTX. Exploratory factor analysis was used to extract the symptom clusters. Results Both the number and types of symptom clusters were relatively similar using symptom occurrence rates or symptom severity ratings. Five symptom clusters were identified using both symptom occurrence rates and severity ratings (i.e., sickness behavior, lung cancer-specific, psychological, nutritional, epithelial). Across these two dimensions, the specific symptoms within each of the symptom clusters were relatively similar. Conclusions Identification of symptom clusters in patients with lung cancer may assist with the development of more targeted symptom management interventions. Future studies are warranted to determine if symptom clusters change over a cycle of CTX in patients with lung cancer.

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“…When the symptoms in our epithelial symptom cluster were compared to previous studies of symptom clusters in oncology patients receiving CTX that used the MSAS, three studies identified an image-related cutaneous symptom cluster (Suwisith et al, 2008) or a body image symptom cluster (Huang et al, 2016; Molassiotis et al, 2010). In the study that included only patients with breast cancer (Suwisith et al, 2008), hair loss, change in the way food tastes, mouth sores, and changes in skin were included in the image-related cutaneous symptom cluster.…”

Section: Discussionmentioning

confidence: 99%

“…The symptoms included in this cluster that were identified in patients <60 years of age but not in patients ≥60 years of age were: sweats, difficulty sleeping, pain, and weight gain. In a study that evaluated patients with ovarian cancer receiving CTX (Huang et al, 2016), a menopausal symptom cluster was identified. However, sweats were the only common symptom included in their hormonal symptom cluster.…”

Section: Discussionmentioning

confidence: 99%

Differences in symptom clusters identified using symptom occurrence rates versus severity ratings in patients with breast cancer undergoing chemotherapy

Sullivan

Leutwyler

Dunn

et al. 2017

European Journal of Oncology Nursing

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Purpose One of the unanswered questions in symptom clusters research is whether the number and types of symptom clusters vary based on the dimension of the symptom experience used to create the clusters. Given that patients with breast cancer receiving chemotherapy (CTX), report between 10 and 32 concurrent symptoms and studies of symptom clusters in these patients are limited, the purpose of this study, in breast cancer patients undergoing CTX (n=515), was to identify whether the number and types of symptom clusters differed based on whether symptom occurrence rates or symptom severity ratings were used to create the clusters. Methods A modified version of the Memorial Symptom Assessment Scale was used to assess for the occurrence and severity of 38 symptoms, one week after the administration of CTX. Exploratory factor analysis was used to extract the symptom clusters. Results Both the number and types of symptom clusters were similar using symptom occurrence rates or symptom severity ratings. Five symptom clusters were identified using symptom occurrence rates (i.e., psychological, hormonal, nutritional, gastrointestinal, epithelial). Six symptom clusters (i.e., psychological, hormonal, nutritional, gastrointestinal, epithelial, chemotherapy neuropathy) were identified using symptom severity ratings. Across the two dimensions, the specific symptoms within each of the symptom clusters were similar. Conclusions Identification of symptom clusters in patients with breast cancer may be useful in guiding symptom management interventions. Future studies are warranted to determine if symptom clusters remain stable over a cycle of CTX in patients with breast cancer.

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Symptom Clusters in Ovarian Cancer Patients With Chemotherapy After Surgery

Abstract: The ability to predict symptom clusters in ovarian cancer patients receiving chemotherapy may help to make optimized clinical decision in advance to alleviate patients' symptoms and improve their life quality.

Cited by 58 publications

References 49 publications

Symptom Experience and Self-rated Physical Functioning in Patients With Ovarian Cancer Receiving Chemotherapy

Symptom Experience and Self-rated Physical Functioning in Patients With Ovarian Cancer Receiving Chemotherapy

Differences in Symptom Clusters Identified Using Ratings of Symptom Occurrence vs. Severity in Lung Cancer Patients Receiving Chemotherapy

Differences in symptom clusters identified using symptom occurrence rates versus severity ratings in patients with breast cancer undergoing chemotherapy

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