Literature DB >> 19816162

Differences in symptom clusters identified using occurrence rates versus symptom severity ratings in patients at the end of radiation therapy.

Esther Kim1, Thierry Jahan, Bradley E Aouizerat, Marylin J Dodd, Bruce A Cooper, Steven M Paul, Claudia West, Kathryn Lee, Patrick S Swift, William Wara, Christine Miaskowski.   

Abstract

The purposes of this study were to identify the number and types of symptom clusters using yes/no responses from the Memorial Symptom Assessment Scale, identify the number and types of symptom clusters using severity scores from the Memorial Symptom Assessment Scale, compare the identified symptom clusters derived using severity scores to those derived using occurrence ratings, and evaluate for differences in symptom cluster severity scores between patients with breast and prostate cancer at the end of radiation therapy. Separate exploratory factor analyses were performed to determine the number of symptom clusters based on symptom occurrence rates and symptom severity ratings. Although specific symptoms within each symptom cluster were not identical, 3 very similar symptom clusters (ie, "mood-cognitive" symptom cluster, "sickness-behavior" symptom cluster, "treatment-related" symptom cluster) were identified regardless of whether occurrence rates or severity ratings were used to create the symptom clusters at the end of radiation therapy. However, the factor solution derived using the severity ratings fit the data better. Significant differences in severity scores for all 3 symptom clusters were found between patients with breast and prostate cancer. For all 3 symptom clusters, the patients with breast cancer had higher symptom cluster severity scores than the patients with prostate cancer.

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Year:  2009        PMID: 19816162      PMCID: PMC2885763          DOI: 10.1097/NCC.0b013e3181b046ad

Source DB:  PubMed          Journal:  Cancer Nurs        ISSN: 0162-220X            Impact factor:   2.592


  36 in total

1.  Assessing symptom distress in cancer patients: the M.D. Anderson Symptom Inventory.

Authors:  C S Cleeland; T R Mendoza; X S Wang; C Chou; M T Harle; M Morrissey; M C Engstrom
Journal:  Cancer       Date:  2000-10-01       Impact factor: 6.860

2.  The Karnofsky Performance Status Scale. An examination of its reliability and validity in a research setting.

Authors:  V Mor; L Laliberte; J N Morris; M Wiemann
Journal:  Cancer       Date:  1984-05-01       Impact factor: 6.860

Review 3.  Conceptual issues in symptom clusters research and their implications for quality-of-life assessment in patients with cancer.

Authors:  Christine Miaskowski; Bradley E Aouizerat; Marylin Dodd; Bruce Cooper
Journal:  J Natl Cancer Inst Monogr       Date:  2007

4.  The Memorial Symptom Assessment Scale: an instrument for the evaluation of symptom prevalence, characteristics and distress.

Authors:  R K Portenoy; H T Thaler; A B Kornblith; J M Lepore; H Friedlander-Klar; E Kiyasu; K Sobel; N Coyle; N Kemeny; L Norton
Journal:  Eur J Cancer       Date:  1994       Impact factor: 9.162

5.  Symptom clusters in cancer patients.

Authors:  Mei-Ling Chen; Ho-Ching Tseng
Journal:  Support Care Cancer       Date:  2006-02-21       Impact factor: 3.603

6.  Symptom clusters in elderly patients with lung cancer.

Authors:  Audrey G Gift; Anita Jablonski; Manfred Stommel; C William Given
Journal:  Oncol Nurs Forum       Date:  2004 Mar-Apr       Impact factor: 2.172

7.  Symptom clusters in patients with advanced-stage cancer referred for palliative radiation therapy in an outpatient setting.

Authors:  Grace Fan; Stephanie Hadi; Edward Chow
Journal:  Support Cancer Ther       Date:  2007-05-01

8.  Symptom clusters related to specific cancers.

Authors:  Audrey G Gift
Journal:  Semin Oncol Nurs       Date:  2007-05       Impact factor: 2.315

9.  Symptom distress in newly diagnosed ambulatory cancer patients and as a predictor of survival in lung cancer.

Authors:  L F Degner; J A Sloan
Journal:  J Pain Symptom Manage       Date:  1995-08       Impact factor: 3.612

10.  The changing causal foundations of cancer-related symptom clustering during the final month of palliative care: a longitudinal study.

Authors:  Karin Olson; Leslie Hayduk; Marilyn Cree; Ying Cui; Hue Quan; John Hanson; Peter Lawlor; Florian Strasser
Journal:  BMC Med Res Methodol       Date:  2008-06-04       Impact factor: 4.615

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  17 in total

1.  Longitudinal Examination of Symptom Profiles Among Breast Cancer Survivors.

Authors:  Nancy E Avis; Beverly Levine; Sarah A Marshall; Edward H Ip
Journal:  J Pain Symptom Manage       Date:  2016-12-29       Impact factor: 3.612

Review 2.  Advancing Symptom Science Through Symptom Cluster Research: Expert Panel Proceedings and Recommendations.

Authors:  Christine Miaskowski; Andrea Barsevick; Ann Berger; Rocco Casagrande; Patricia A Grady; Paul Jacobsen; Jean Kutner; Donald Patrick; Lani Zimmerman; Canhua Xiao; Martha Matocha; Sue Marden
Journal:  J Natl Cancer Inst       Date:  2017-01-24       Impact factor: 13.506

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

Authors:  Melisa L Wong; Bruce A Cooper; Steven M Paul; Jon D Levine; Yvette P Conley; Fay Wright; Marilyn Hammer; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2017-05-19       Impact factor: 3.612

4.  Symptom cluster analyses based on symptom occurrence and severity ratings among pediatric oncology patients during myelosuppressive chemotherapy.

Authors:  Christina Baggott; Bruce A Cooper; Neyssa Marina; Katherine K Matthay; Christine Miaskowski
Journal:  Cancer Nurs       Date:  2012 Jan-Feb       Impact factor: 2.592

5.  Stability of Symptom Clusters in Patients With Breast Cancer Receiving Chemotherapy.

Authors:  Carmen W Sullivan; Heather Leutwyler; Laura B Dunn; Bruce A Cooper; Steven M Paul; Jon D Levine; Marilyn Hammer; Yvette P Conley; Christine A Miaskowski
Journal:  J Pain Symptom Manage       Date:  2017-08-31       Impact factor: 3.612

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

Authors:  Carmen Ward Sullivan; Heather Leutwyler; Laura B Dunn; Bruce A Cooper; Steven M Paul; Yvette P Conley; Jon D Levine; Christine A Miaskowski
Journal:  Eur J Oncol Nurs       Date:  2017-04-26       Impact factor: 2.398

7.  Symptom Clusters in Patients With Gastrointestinal Cancers Using Different Dimensions of the Symptom Experience.

Authors:  Claire J Han; Kerryn Reding; Bruce A Cooper; Steven M Paul; Yvette P Conley; Marilyn Hammer; Fay Wright; Frances Cartwright; Jon D Levine; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2019-05-09       Impact factor: 3.612

8.  Differences in symptom clusters before and twelve months after breast cancer surgery.

Authors:  Melissa Mazor; Janine K Cataldo; Kathryn Lee; Anand Dhruva; Bruce Cooper; Steven M Paul; Kimberly Topp; Betty J Smoot; Laura B Dunn; Jon D Levine; Yvette P Conley; Christine Miaskowski
Journal:  Eur J Oncol Nurs       Date:  2017-12-19       Impact factor: 2.398

9.  Screening for depressed mood in patients with cancer using the MD Anderson Symptom Inventory: investigation of a practical approach for the oncologist.

Authors:  Desiree Jones; Elisabeth G Vichaya; Charles S Cleeland; Lorenzo Cohen; Seema M Thekdi; Xin Shelley Wang; Michael J Fisch
Journal:  J Oncol Pract       Date:  2013-11-26       Impact factor: 3.840

10.  A Conceptual Model of Psychoneurological Symptom Cluster Variation in Women with Breast Cancer: Bringing Nursing Research to Personalized Medicine.

Authors:  Angela R Starkweather; Debra E Lyon; R K Elswick; Alison J Montpetit; Yvette Conley; Nancy L McCain
Journal:  Curr Pharmacogenomics Person Med       Date:  2013-09
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