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  • 1.
    Browall, Maria
    et al.
    Högskolan i Skövde, Institutionen för hälsa och lärande. Högskolan i Skövde, Forskningsspecialiseringen Hälsa och Lärande. Department of Neurobiology, Care Science and Society, Division of Nursing, Karolinska Institutet, Huddinge, Sweden.
    Brandberg, Yvonne
    Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
    Nasic, Salmir
    Research and Development Centre, Skaraborg Hospital, Skövde, Sweden.
    Rydberg, Per
    Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
    Bergh, Jonas
    Radiumhemmet and Cancer Centre Karolinska, Karolinska University Hospital, Stockholm, Sweden.
    Rydén, Andreas
    Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
    Xie, Hanjing
    Radiumhemmet and Cancer Centre Karolinska, Karolinska University Hospital, Stockholm, Sweden.
    Eriksson, Irene
    Högskolan i Skövde, Institutionen för hälsa och lärande. Högskolan i Skövde, Forskningsspecialiseringen Hälsa och Lärande.
    Wengström, Yvonne
    Department of Neurobiology, Care Science and Society, Division of Nursing, Karolinska Institutet, Huddinge, Sweden / Radiumhemmet and Cancer Centre Karolinska, Karolinska University Hospital, Stockholm, Sweden.
    A prospective exploration of symptom burden clusters in women with breast cancer during chemotherapy treatment2017Inngår i: Supportive Care in Cancer, ISSN 0941-4355, E-ISSN 1433-7339, Vol. 25, nr 5, s. 1423-1429Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Purpose

    The aim was to prospectively map symptom clusters in patients with stage I–IIIa breast cancer during standard chemotherapy treatment in a randomised study.

    Methods

    Participants completed the Memorial Symptom Assessment Scale (MSAS) at baseline, day 12 after the first and third cycle of FEC 75 or FEC 100, and day 12 after the last cycle of Taxotere. Cut-off values for symptom scores, a mean value based on each individual reporting a symptom including occurrence, frequency, severity and distress for inclusion in analysis, were determined.

    Results

    The symptom burden cluster analysis was conducted in two steps and included symptoms with high frequency and high levels of distress. The factor analysis revealed three symptom clusters; physical, gastro (phys/gastro) and emotional, with core symptoms that remained stable over time. The most prevalent symptoms for the total sample during all cycles were as follows: lack of energy (range between 48 and 90%), feeling sad (48–79%), difficulty sleeping (54–78%), difficulty concentrating (53–74%), worrying (54–74%) and pain (29–67%).

    Conclusion

    In summary, we have prospectively established that symptom clusters remain stable over time with a basis of core symptoms. This knowledge will aid in the development of effective core symptom-focused interventions to minimise symptom burden for patients treated with chemotherapy for breast cancer.

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