Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy

Ren, Hongyan; Tang, Ping; Zhao, Qinghua; Ren, Guosheng

doi:10.1186/s12894-017-0255-x

Cited by 18 publications

(29 citation statements)

References 30 publications

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“…Three factors—gender, stage of disease and resilience—were correlated with the severity of the four symptom clusters. As found by Akin, Can, Aydiner, Ozdilli, and Durna () and Ren, Tang, Zhao, and Ren (), female patients report more severe symptoms than male patients. This may be related to women's weaker physical function and to the fact that they have a higher willingness to report more severe symptoms.…”

Section: Discussionmentioning

confidence: 55%

Symptom clusters and related factors in oesophageal cancer patients 3 months after surgery

Guo

Wang

Yin

et al. 2019

Journal of Clinical Nursing

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Aim To explore symptom clusters experienced by patients with oesophageal cancer 3 months after surgery and examine whether symptom clusters are related to demographic, clinical and quality of life variables. Background There are multiple symptoms in patients with oesophageal cancer after surgery, which seriously affect their quality of life. Exploring the mechanics of concurrent symptoms such as symptom clusters may facilitate the development of strategies to reduce the impact of these symptoms and improve quality of life. Design Cross‐sectional survey. The STROBE Statement was chosen as the EQUATOR checklist. Methods A convenience sample of 128 oesophageal cancer patients was followed up at 3 months after surgery. Participants completed the demographic questionnaire, the M. D. Anderson Symptom Inventory for Gastrointestinal Cancer, the Functional Assessment of Cancer Therapy‐General and the Connor‐Davidson Resilience Scale. Exploratory factor analysis, stepwise regression and correlation analysis were applied. Results Four symptom clusters were identified: dysphagia–psychological, chemoradiotherapy side‐effect, digestive tract reconstruction and fatigue–sleep. Gender, stage of disease and resilience influenced the dysphagia–psychological symptom cluster. Gender, stage of disease, resilience and treatment were significant factors affecting the chemoradiotherapy side‐effect and fatigue–sleep symptom clusters. Gender, stage of disease, resilience and anastomotic position were significant factors influencing the digestive tract reconstruction symptom cluster. The correlations between symptom clusters and quality of life were significant, with the highest correlation between the dysphagia–psychological cluster and quality of life. Conclusions Nurses should pay more attention to symptom management in patients with oesophageal cancer 3 months after surgery by focusing on four symptom clusters. It is necessary to implement individualised care depending on the influence factors including gender, stage of disease, resilience, treatment and anastomotic position. Relevance to clinical practice These findings will help develop targeted interventions to facilitate further symptom management for transitional nursing from the peri‐operative phase to long‐term rehabilitation.

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Section: Discussionmentioning

confidence: 55%

Symptom clusters and related factors in oesophageal cancer patients 3 months after surgery

Guo

Wang

Yin

et al. 2019

Journal of Clinical Nursing

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“…Of the 23 studies included in this review, 13 used a cross-sectional design to identify symptom clusters in oncology patients receiving chemotherapy (online supplemental table 1). Seven studies were conducted in the USA,29 32–37 two in China,38 39 two in Thailand,40 41 one in Austria,42 and one in Turkey 43. Sample sizes ranged from 9641 to 1328 29.…”

Section: Resultsmentioning

confidence: 99%

“…Five studies evaluated for symptom clusters in patients with heterogeneous types of cancer 29 32 33 35 42. Of the eight studies that evaluated for clusters in patients with homogeneous types of cancer, four evaluated patients with breast cancer,34 36 40 41 one with bladder cancer,39 one with leukaemia,38 one with lymphoma,43 and one with lung cancer 37…”

Section: Resultsmentioning

confidence: 99%

“…One study used multiple symptom assessment tools to assess for clusters;34 specifically, the Breast Cancer Prevention Trial Symptom Checklist, the Beck Depression Inventory-II, the Brief Pain Inventory, the Patient’s Assessment of Own Functioning, and the Profile of Mood States. One study each used the Edmonton Symptom Assessment Scale,41 the MD Anderson Symptom Inventory (MDASI),39 and the Rotterdam Symptom Checklist 42…”

Section: Resultsmentioning

confidence: 99%

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Symptom clusters in patients receiving chemotherapy: A systematic review

Harris

Kober

Conley

et al. 2021

BMJ Support Palliat Care

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Background and purposeSince 2001, symptom cluster research has grown considerably. However, because multiple methodological considerations remain, ongoing synthesis of the literature is needed to identify gaps in this area of symptom science. This systematic review evaluated the progress in symptom clusters research in adults receiving primary or adjuvant chemotherapy since 2016.MethodsEligible studies were published in English between 1 January 2017 and 17 May 2021; evaluated for and identified symptom clusters ‘de novo;’ and included only adults being treated with primary or adjuvant chemotherapy. Studies were excluded if patients had advanced cancer or were receiving palliative chemotherapy; symptoms were measured after treatment; symptom clusters were pre-specified or a patient-centred analytic approach was used. For each study, symptom instrument(s); statistical methods and symptom dimension(s) used to create the clusters; whether symptoms were allowed to load on more than one factor; method used to assess for stability of symptom clusters and associations with secondary outcomes and biomarkers were extracted.ResultsTwenty-three studies were included. Memorial Symptom Assessment Scale was the most common instrument and exploratory factor analysis was the most common statistical method used to identify symptom clusters. Psychological, gastrointestinal, and nutritional clusters were the most commonly identified clusters. Only the psychological cluster remained relatively stable over time. Only five studies evaluated for secondary outcomes.DiscussionWhile symptom cluster research has evolved, clear criteria to evaluate the stability of symptom clusters and standardised nomenclature for naming clusters are needed. Additional research is needed to evaluate the biological mechanism(s) for symptom clusters.PROSPERO registration numberCRD42021240216.

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“…Nevertheless, Li et al's research on head and neck cancer patients with endotracheal tubes revealed that there was no significant difference in the scores of QoL between the high and low severity groups of the digestive symptom cluster (47). These contradictory results may be related to disease characteristics, treatment modalities, and the different study periods investigated (49,50). As there have been few studies of symptom clusters focused on cervical cancer, our study provides new evidence to support that symptom clusters might be reliable predictors of QoL in this population.…”

Section: Discussionmentioning

confidence: 98%

Symptom Clusters and Quality of Life in Cervical Cancer Patients Receiving Concurrent Chemoradiotherapy: The Mediating Role of Illness Perceptions

et al. 2022

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ObjectivesAlthough studies shows that symptom clusters and illness perceptions are negatively associated with quality of life (QoL), it is unclear how these variables of cervical cancer patients who receive concurrent chemoradiotherapy (CCRT) relate to each other. This study aimed to identify the symptom clusters in cervical cancer patients who receive CCRT and evaluate the mediating effect of illness perceptions on the relationship between symptom clusters and QoL.MethodsA cross-sectional survey was conducted on 286 cervical cancer patients receiving CCRT from October 2019 to October 2020. M.D. Anderson Symptom Inventory, Brief Illness Perception Questionnaire, and Functional Assessment Cancer Therapy-Cervix were applied to investigate the symptom clusters, illness perceptions and QoL of the participants, respectively. Exploratory factor analysis was conducted to identify symptom clusters. The relationships among symptom clusters, illness perceptions, and QoL were analyzed with the structural equation modeling.ResultsA total of four symptom clusters were identified, including psychological status symptom cluster, therapy side-effect symptom cluster, sickness symptom cluster, and gastrointestinal symptom cluster (χ2 = 1,552.282, Df = 78, P < 0.001). Symptom clusters, illness perceptions, and QoL were significantly correlated. Symptom clusters had significant direct (β = −0.38, P < 0.001) and indirect effects (β = −0.21, P < 0.001) on QoL.ConclusionIllness perceptions played a significant mediating role between symptom clusters and QoL in cervical cancer patients receiving CCRT. Strategies like prompting effective symptom management for the purposes of alleviating illness perceptions may contribute to improving their QoL.

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Symptom clusters and related factors in bladder cancer patients three months after radical cystectomy

Cited by 18 publications

References 30 publications

Symptom clusters and related factors in oesophageal cancer patients 3 months after surgery

Symptom clusters and related factors in oesophageal cancer patients 3 months after surgery

Symptom clusters in patients receiving chemotherapy: A systematic review

Symptom Clusters and Quality of Life in Cervical Cancer Patients Receiving Concurrent Chemoradiotherapy: The Mediating Role of Illness Perceptions

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