Literature DB >> 18043948

Exploring the differential experience of breast cancer treatment-related symptoms: a cluster analytic approach.

Clement K Gwede1, Brent J Small, Pamela N Munster, Michael A Andrykowski, Paul B Jacobsen.   

Abstract

INTRODUCTION: Cancer patients experience multiple concurrent symptoms. This exploratory analysis assessed symptom burden among patients undergoing chemotherapy for breast cancer to identify distinct subgroups of patients who experience differential symptom burden and assessed whether the patient subgroups were associated with deleterious quality of life (QOL) outcomes.
MATERIALS AND METHODS: Women (N = 133) with stage I and II breast cancer undergoing adjuvant chemotherapy after primary surgery were evaluated at baseline and at the end of chemotherapy using the Memorial Symptom Assessment Scale (MSAS) and the SF-36 QOL questionnaire. Post treatment MSAS symptoms were included in hierarchical cluster analysis. Two patient subgroups were identified that corresponded to a high-symptom prevalence group and a low-symptom group. RESULTS AND DISCUSSION: No marked, statistically significant differences were found between groups on demographic, symptoms, QOL, or treatment variables at baseline. Patients in the high-symptom cluster were more likely to have stage I disease (p < 0.05). The two groups of patients showed significant differences in end-of-treatment symptoms and QOL scores (p < 0.05). The high-symptom burden group was more likely to report greater symptom prevalence and poorer QOL.
CONCLUSIONS: Future research needs to examine why these differences occur despite similarities in treatment and how symptom burden can be reduced for the high-symptom prevalence group.

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Year:  2007        PMID: 18043948      PMCID: PMC2892385          DOI: 10.1007/s00520-007-0364-2

Source DB:  PubMed          Journal:  Support Care Cancer        ISSN: 0941-4355            Impact factor:   3.603


  32 in total

1.  Chronic pain in old and young patients: differences appear less important than similarities.

Authors:  B A Sorkin; T E Rudy; R B Hanlon; D C Turk; R L Stieg
Journal:  J Gerontol       Date:  1990-03

Review 2.  Customizing treatment for chronic pain patients: who, what, and why.

Authors:  D C Turk
Journal:  Clin J Pain       Date:  1990-12       Impact factor: 3.442

3.  Quality of life in breast cancer patients: a cluster analytic approach. Empirically derived subgroups of the EORTC-QLQ BR 23--a clinically oriented assessment.

Authors:  G C Nagel; S Schmidt; B M Strauss; D Katenkamp
Journal:  Breast Cancer Res Treat       Date:  2001-07       Impact factor: 4.872

4.  Symptom and quality of life survey of medical oncology patients at a veterans affairs medical center: a role for symptom assessment.

Authors:  V T Chang; S S Hwang; M Feuerman; B S Kasimis
Journal:  Cancer       Date:  2000-03-01       Impact factor: 6.860

5.  The robustness of an empirically derived taxonomy of chronic pain patients.

Authors:  Dennis C Turk; Thomas E Rudy
Journal:  Pain       Date:  1990-10       Impact factor: 6.961

6.  Validating the SF-36 health survey questionnaire: new outcome measure for primary care.

Authors:  J E Brazier; R Harper; N M Jones; A O'Cathain; K J Thomas; T Usherwood; L Westlake
Journal:  BMJ       Date:  1992-07-18

7.  The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs.

Authors:  C A McHorney; J E Ware; A E Raczek
Journal:  Med Care       Date:  1993-03       Impact factor: 2.983

8.  Symptom prevalence, characteristics and distress in a cancer population.

Authors:  R K Portenoy; H T Thaler; A B Kornblith; J M Lepore; H Friedlander-Klar; N Coyle; T Smart-Curley; N Kemeny; L Norton; W Hoskins
Journal:  Qual Life Res       Date:  1994-06       Impact factor: 4.147

9.  Utility of a cognitive-behavioral model to predict fatigue following breast cancer treatment.

Authors:  Kristine A Donovan; Brent J Small; Michael A Andrykowski; Pamela Munster; Paul B Jacobsen
Journal:  Health Psychol       Date:  2007-07       Impact factor: 4.267

Review 10.  NIH State-of-the-Science Statement on symptom management in cancer: pain, depression, and fatigue.

Authors: 
Journal:  NIH Consens State Sci Statements       Date:  2002 Jul 15-17
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  26 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

2.  Subgroups of cancer patients with unique pain and fatigue experiences during chemotherapy.

Authors:  Hee-Ju Kim; Patrick S Malone; Andrea M Barsevick
Journal:  J Pain Symptom Manage       Date:  2014-04-21       Impact factor: 3.612

3.  Classifying subgroups of patients with symptoms of acute coronary syndromes: A cluster analysis.

Authors:  Holli A DeVon; Catherine J Ryan; Sally H Rankin; Bruce A Cooper
Journal:  Res Nurs Health       Date:  2010-10       Impact factor: 2.228

4.  Subgroup analysis of symptoms and their effect on functioning, exercise capacity, and physical activity in patients with severe chronic obstructive pulmonary disease.

Authors:  Soo Kyung Park; Catherine A Meldrum; Janet L Larson
Journal:  Heart Lung       Date:  2013-09-20       Impact factor: 2.210

5.  Latent Class Analysis Reveals Distinct Subgroups of Patients Based on Symptom Occurrence and Demographic and Clinical Characteristics.

Authors:  Christine Miaskowski; Laura Dunn; Christine Ritchie; Steven M Paul; Bruce Cooper; Bradley E Aouizerat; Kimberly Alexander; Helen Skerman; Patsy Yates
Journal:  J Pain Symptom Manage       Date:  2015-01-31       Impact factor: 3.612

6.  Menopausal symptoms, sexual function, depression, and quality of life in Korean patients with breast cancer receiving chemotherapy.

Authors:  Hyojung Park; Hyeon Gyeong Yoon
Journal:  Support Care Cancer       Date:  2013-04-25       Impact factor: 3.603

7.  A longitudinal study of the role of patient-reported outcomes on survival prediction of palliative cancer inpatients in Taiwan.

Authors:  Jing-An Chang; Chia-Chin Lin
Journal:  Support Care Cancer       Date:  2009-02-12       Impact factor: 3.603

8.  Congruence Between Latent Class and K-Modes Analyses in the Identification of Oncology Patients With Distinct Symptom Experiences.

Authors:  Nikoloas Papachristou; Payam Barnaghi; Bruce A Cooper; Xiao Hu; Roma Maguire; Kathi Apostolidis; Jo Armes; Yvette P Conley; Marilyn Hammer; Stylianos Katsaragakis; Kord M Kober; Jon D Levine; Lisa McCann; Elisabeth Patiraki; Steven M Paul; Emma Ream; Fay Wright; Christine Miaskowski
Journal:  J Pain Symptom Manage       Date:  2017-08-30       Impact factor: 3.612

9.  Investigating physical symptom burden and personal goal interference in early-stage breast cancer patients.

Authors:  Natalie Stefanic; Peter Caputi; Don C Iverson
Journal:  Support Care Cancer       Date:  2013-11-06       Impact factor: 3.603

10.  Symptom cluster experience profiles in adult survivors of childhood cancers.

Authors:  Lorna Finnegan; Richard T Campbell; Carol Estwing Ferrans; JoEllen Wilbur; Diana J Wilkie; Joan Shaver
Journal:  J Pain Symptom Manage       Date:  2009-06-16       Impact factor: 3.612

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