Comparison of subgroups of breast cancer patients on pain and co-occurring symptoms following chemotherapy

Langford, Dale J.; Paul, Steven M.; Cooper, Bruce A.; Kober, Kord M.; Mastick, Judy; Melisko, Michelle; Levine, Jon D.; Wright, Fay; Hammer, Marilyn J.; Cartwright, Frances; Lee, Kathryn A.; Aouizerat, Bradley E.; Miaskowski, Christine

doi:10.1007/s00520-015-2819-1

Cited by 49 publications

(60 citation statements)

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“…While some studies found no differences in demographic characteristics [3,4,6,12], others found that allocation to the 'high' symptom class was associated with: being female [7,10,11,13,15], being younger [5,7,10,11,14,15], having less education [10,14], being unmarried [5,10], and living alone [14]. In terms of clinical characteristics, while some studies found no differences in clinical characteristics [4,6,13], others found that patients in the 'high' class had a higher number of comorbid conditions [7,12,14,15], more extensive disease [3,9,11,14], and poorer functional status [3,[5][6][7]10,[12][13][14][15]. The identification of subgroups of oncology patients and their associated demographic and clinical characteristics will allow clinicians to identify more vulnerable patients who are at higher risk for poorer outcomes.…”

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confidence: 97%

“…To date, 13 studies were found that used a variety of analytic approaches to classify oncology patients based on their symptom experience [3][4][5][6][7][8][9][10][11][12][13][14][15]. Across these studies, two [3,4,9] to five [13] groups of patients were identified.…”

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confidence: 99%

“…In all 13 studies, subgroups of patients who reported a low and high number of symptoms were found. In the studies that reported three [7,8,10,12,14,15], four [5,6,11], or five [13] subgroups, the distinguishing characteristics of the subgroups of patients with moderate symptoms were highly variable in terms of the number and types of symptoms, as well as in the specific demographic and clinical characteristics that distinguished among these subgroups.…”

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confidence: 99%

“…In the earliest studies [3][4][5][6], cluster analysis was used to create the patient groups, while in subsequent studies [7][8][9][10][11][12][13][14][15], latent class analysis (LCA) was used to identify subgroups of patients with distinct symptom profiles. However, the number of symptoms used in these LCAs varied from four [7,[12][13][14]] to 25 [10].…”

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confidence: 99%

“…However, the number of symptoms used in these LCAs varied from four [7,[12][13][14]] to 25 [10]. All except one [8] of the 13 studies evaluated for differences in demographic and clinical characteristics among the latent classes.…”

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confidence: 99%

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Patient factors and quality of life outcomes differ among four subgroups of oncology patients based on symptom occurrence

et al. 2017

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confidence: 97%

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confidence: 99%

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confidence: 99%

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confidence: 99%

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Patient factors and quality of life outcomes differ among four subgroups of oncology patients based on symptom occurrence

et al. 2017

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Symptom clusters experienced by breast cancer patients at various treatment stages: A systematic review

Law

et al. 2021

Cancer Medicine

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Breast cancer patients often experience symptoms that adversely affect their quality of life. It is understood that many of these symptoms tend to cluster together: while they might have different manifestations and occur during different phases of the disease trajectory, the symptoms often have a common aetiology that is a potential target for intervention. Understanding the symptom clusters associated with breast cancer might usefully inform the development of effective care plans for affected patients. The aim of this paper is to provide an updated systematic review of the known symptom clusters among breast cancer patients during and/or after cancer treatment. A search was conducted using five databases for studies reporting symptom clusters among breast cancer patients. The search yielded 32 studies for inclusion. The findings suggest that fatigue‐sleep disturbance and psychological symptom cluster (including anxiety, depression, nervousness, irritability, sadness, worry) are the most commonly‐reported symptom clusters among breast cancer patients. Further, the composition of symptom clusters tends to change across various stages of cancer treatment. While this review identified some commonalities, the different methodologies used to identify symptom clusters resulted in inconsistencies in symptom cluster identification. It would be useful if future studies could separately examine the symptom clusters that occur in breast cancer patients undergoing a particular treatment type, and use standardised instruments across studies to assess symptoms. The review concludes that further studies could usefully determine the biological pathways associated with various symptom clusters, which would inform the development of effective and efficient symptom management strategies.

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Association of personality profiles with coping and adjustment to cancer among patients undergoing chemotherapy

et al. 2020

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Objective Specific personality traits are associated with differential use of various coping strategies. Few studies have examined the relationship between personality and coping in oncology patients undergoing chemotherapy. We, therefore, examined the relationship between previously identified personality profiles (ie, Distressed [14.3% of total sample], Normative [53.8%], Resilient [31.9%]) and measures of coping and adjustment. Methods Patients (n = 1248) undergoing chemotherapy for breast, gastrointestinal, gynecological, or lung cancer completed measures of personality (NEO‐Five Factor Inventory), coping (Brief COPE), and psychological adjustment to cancer (Mental Adjustment to Cancer [MAC] scale). Differences in coping and adjustment among the three personality profiles were evaluated using analysis of variance. Results On the Brief COPE, the Distressed class endorsed lower use of Active Coping, Positive Reframing, Acceptance, Emotional Support (ie, “engagement” coping); and greater use of Denial, Venting, Behavioral Disengagement, Self‐Blame (ie, “disengagement” coping) compared to the Normative and Resilient classes. On the MAC scale, the Distressed class scored higher on Anxious Preoccupation, Helplessness/Hopelessness, Fatalism, and Avoidance, and lower on Fighting Spirit, compared to the other two classes. Conclusions In this sample of oncology patients receiving chemotherapy, patients in the Distressed personality class showed a reduced repertoire of adaptive coping strategies, while those in the Resilient class reported greater use of adaptive or engagement coping strategies. Further work should examine the potential mediating or moderating role of coping and adjustment in the relationships between personality and patient outcomes. Interventions to enhance beneficial and reduce harmful coping strategies in cancer patients should be evaluated.

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Comparison of subgroups of breast cancer patients on pain and co-occurring symptoms following chemotherapy

Cited by 49 publications

References 35 publications

Patient factors and quality of life outcomes differ among four subgroups of oncology patients based on symptom occurrence

Patient factors and quality of life outcomes differ among four subgroups of oncology patients based on symptom occurrence

Symptom clusters experienced by breast cancer patients at various treatment stages: A systematic review

Association of personality profiles with coping and adjustment to cancer among patients undergoing chemotherapy

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