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Cancer 2014-Mar

Risk factors for clinician-reported symptom clusters in patients with advanced head and neck cancer in a phase 3 randomized clinical trial: RTOG 0129.

Само регистровани корисници могу преводити чланке
Пријави се / Пријави се
Веза се чува у привремену меморију
Canhua Xiao
Alexandra Hanlon
Qiang Zhang
Benjamin Movsas
Kian Ang
David I Rosenthal
P Félix Nguyen-Tan
Harold Kim
Quynh Le
Deborah Watkins Bruner

Кључне речи

Апстрактан

BACKGROUND

Chemoradiotherapy has become the standard of care for head and neck squamous cell carcinoma; however, those patients often experience multiple treatment-related symptoms or symptom clusters. Two symptom clusters have been identified for this population. Little is known about the risk factors of these symptom clusters.

METHODS

Subjects comprised 684 patients who were treated with concurrent chemoradiotherapy in a phase 3 randomized clinical trial. This trial compared standard fractionation radiotherapy to accelerated fractionation radiotherapy. Symptom clusters were evaluated at the end of the first and the second cycle of chemotherapy, and 3 months after the start of radiotherapy. Mixed-effect modeling was used to observe risk factors for symptom clusters.

RESULTS

Race and education were independent predictors for the head and neck cluster, whereas sex and history of tobacco use were independent predictors for the gastrointestinal cluster. Primary cancer site was only significant for the head and neck cluster when other factors were not controlled: patients with oropharyngeal cancer had more severe symptoms in the head and neck clusters than did patients with laryngeal cancer. In addition, patients receiving accelerated fractionation radiotherapy experienced more symptoms of radiomucositis, pain, and nausea at 3 months after the start of radiotherapy than those receiving standard fractionation radiotherapy.

CONCLUSIONS

Demographic characteristics were more predictive to symptom clusters, whereas clinical characteristics, such as cancer site and treatment arms, were more significant for individual symptoms. Knowing the risk factors will enhance the capability of clinicians to evaluate patients' risk of severe symptom clusters and to personalize management strategies.

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