The Effect of Nonpharmacological Interventions on Managing Symptom Clusters Among Cancer Patients: A Systematic Review

Nonpharmacological Interventions for Managing Symptom Clusters in Adults: A Systematic Review

Objectives: The complex effects of multiple co-occurring symptoms are a major cause of reduced quality of life; thus, it is necessary to identify symptom clusters experienced by patients and explore interventions. This study aimed to provide an overview of non-pharmacological interventions based on symptom clusters in adults to identify effective intervention strategies and methods. Methods. This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) reporting guidelines. For the search databases, PubMed, Embase, Cochrane Library, CINAHL, RISS, KISS, and KISTI were used. It includes English and Korean experimental studies published up to May 2023. The literature quality was evaluated using the Joanna Briggs Institute Quality Assessment Tool. Results. Of the 18 studies selected, 15 were randomized controlled trials and three were quasi-experimental studies, all of which were conducted on patients with cancer. The symptom clusters-based interventions in the literature are classified as movement-based, relaxation-based, integrated, and miscellaneous interventions. Integrated interventions, which were effective in all studies, might prove to be very effective for managing symptom clusters. Movement-based intervention studies, which include dance, Qigong, and Tai Chi, might be very effective in improving health-related quality of life (HRQoL). Conclusions. This review demonstrates that non-pharmacological interventions reduce the occurrence and severity of symptom clusters, thereby improving HRQoL. Further studies are required to evaluate the effects of these interventions in patients with various chronic conditions other than cancer.

Identification of symptom clusters and sentinel symptoms during the first cycle of chemotherapy in patients with lung cancer

PURPOSE

To identify symptom clusters (SCs) in patients with lung cancer who are undergoing initial chemotherapy and to identify the sentinel symptoms of each SC.

METHODS

A convenience sampling method was used to recruit patients with lung cancer who were undergoing their initial chemotherapy treatment. Patient information was collected using the General Demographic Questionnaire, MD Anderson Symptom Inventory (including the lung cancer module) and a schedule documenting the initial occurrence of symptoms. The Walktrap algorithm was employed to identify SCs, while sentinel symptoms within each SC were identified using the Apriori algorithm in conjunction with the initial occurrence time of symptoms.

RESULTS

A total of 169 patients with lung cancer participated in this study, and four SCs were identified: the psychological SC (difficulty remembering, sadness, dry mouth, numbness or tingling, and distress), somatic SC (pain, fatigue, sleep disturbance, and drowsiness), respiratory SC (coughing, expectoration, chest tightness, and shortness of breath), and digestive SC (nausea, poor appetite, constipation, vomiting, and weight loss). Sadness, fatigue, and coughing were identified as sentinel symptoms of the psychological, somatic, and respiratory SCs, respectively. However, no sentinel symptom was identified for the digestive SC.

CONCLUSION

Patients with lung cancer who are undergoing chemotherapy encounter a spectrum of symptoms, often presenting as SCs. The sentinel symptom of each SC emerges earlier than the other symptoms and is characterized by its sensitivity, significance, and driving force. It serves as a vital indicator of the SC and assumes a sentry role. Targeting sentinel symptoms might be a promising strategy for determining the optimal timing of interventions and for mitigating or decelerating the progression of the other symptoms within the SC.

Cancer symptom cluster research in pediatric oncology: a work in progress

In the 21st century, advances in basic research have provided new insights in the field of pediatric oncology. Pediatric patients tend to experience higher levels of distressing symptoms, which together form a symptom cluster. In clinical practice, these symptom clusters are reported daily by children and adolescents with cancer. Translational research has emerged as the translation of new knowledge from basic science into clinical practice. Understanding how neuroimmunoendocrine pathways regulate cancer development and the aspects underlying the specific therapies, such as chemotherapy and immunotherapy, is an important frontier for future research in pediatric oncology. The goal of translational research is to show how different variables in tumor and patient characteristics explain the differential effects of interventions, as translational research provides new insights into the management of cancer symptoms in children and adolescents with cancer. Together, this approach could lead to improvements in pediatric oncology care worldwide.

Effects of nonpharmacological interventions on symptom clusters in breast cancer survivors: A systematic review of randomized controlled trials

Objective

To summarize nonpharmacological interventions and assess their effects on symptom clusters and quality of life (QoL) in breast cancer (BC) survivors.

Methods

Seven English and three Chinese electronic databases and three clinical trial registries were searched from January 2001 to August 2023. A narrative approach was applied to summarize the data. The primary outcome was symptom clusters measured by any patient-reported questionnaires, and the secondary outcomes were QoL and intervention-related adverse events.

Results

Six published articles, one thesis, and one ongoing trial involving 625 BC survivors were included. The fatigue-sleep disturbance-depression symptom cluster was the most frequently reported symptom cluster among BC survivors. The nonpharmacological interventions were potentially positive on symptom clusters and QoL among the BC survivors. However, some of the included studies exhibited methodological concerns (e.g., inadequate blinding and allocation concealment). The intervention protocols in only two studies were developed following a solid evidence-based approach. Adverse events related to the targeted interventions were reported in six included studies, with none performing a causality analysis.

Conclusions

The nonpharmacological interventions could be promising strategies for alleviating symptom clusters in BC survivors. Future studies should adopt rigorously designed, randomized controlled trials to generate robust evidence.

Systematic review registration

INPLASY202380028.

Evaluation of the Nurse-Led Symptom Management Program for Patients With Gynecologic Cancer Undergoing Chemotherapy

BACKGROUND

Patients with cancer experience symptoms concurrently. Nurses need to make multisymptom management and educate patients about self-management strategies.

OBJECTIVE

The aim of this study was to evaluate the effect of a nurse-led symptom management program (NL-SMP), developed based on the Symptom Management Model, quality of life (QoL), and symptom severity of women with gynecological cancer undergoing chemotherapy.

METHODS

This randomized controlled study sample consisted of 41 women receiving chemotherapy at an outpatient clinic in Istanbul, Turkey, between November 2018 and December 2019. European Organisation for Research and Treatment of Cancer Quality-of-Life Scale, Edmonton Symptom Assessment Scale, and Modified Brief Sexual Symptom Checklist-Women were used to collect data. Women were randomly assigned to 2 groups: intervention (n = 21) and control (n = 20). The intervention group attended the NL-SMP in addition to usual care. Data were collected at the first (time 1), third (time 2), and last chemotherapy cycle (time 3). Repeated measures analysis of variance, Cochran-Q, and t tests were used to analyze the data.

RESULTS

In the intervention group, the QoL was significantly higher; symptom severity was lower than that of the control group at time 2 and time 3. At time 3, more women in the control group reported at least 1 sexual difficulty and were not satisfied with their sexual function, whereas there was no change for women in the intervention group.

CONCLUSION

The NL-SMP, which consisted of systematic symptom assessment, prioritization of symptoms, providing symptom, and patient-specific education, decreased deterioration in the QoL and symptom severity of women.

IMPLICATIONS FOR PRACTICE

Conducting multisymptom assessments, prioritizing symptoms, providing symptom- and patient-specific education, and supporting symptom self-management throughout treatment can lead to effective symptom management.

Somatic acupressure for the fatigue-sleep disturbance-depression symptom cluster in breast cancer survivors: A phase II randomized controlled trial

OBJECTIVE

To evaluate the feasibility of the somatic acupressure (SA) for managing the fatigue-sleep disturbance-depression symptom cluster (FSDSC) among breast cancer (BC) survivors and its preliminary effects.

METHODS

In this Phase II randomized controlled trial (RCT), 51 participants were randomised evenly into the true SA group, sham SA group, and usual care group. All the participants received usual care. The two SA groups performed additional true or sham self-acupressure daily for seven weeks. The primary outcomes related to the assessment of participants' recruitment and compliance with study questionnaires and interventions. Clinical outcomes assessed the preliminary effects of SA on fatigue, sleep disturbance, depression, and quality of life. Semi-structured interviews were undertaken to capture participants' experiences of participating in this study. The statistical effects of the intervention on the outcomes were modelled in repeated measures ANOVA and adjusted generalized estimating equations.

RESULTS

Forty-five participants completed the SA intervention. No adverse events were reported. Over 85% of the participants could sustain for 25 days or more and 15 min or more per session, but the adherence to the intervention requirement was yet to improve. The group by time effect of the FSDSC and depression were significant (p < 0.05). Qualitative findings showed that participants positively viewed SA as a beneficial strategy for symptom management.

CONCLUSIONS

The SA intervention protocol and the trial procedures were feasible. The results demonstrated signs of improvements in targeted outcomes, and a full-scale RCT is warranted to validate the effects of SA on the FSDSC.

Nonpharmacological Interventions for Management of the Pain-Fatigue-Sleep Disturbance Symptom Cluster in Breast Cancer Patients: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials

Background

The pain-fatigue-sleep disturbance symptom cluster is commonly experienced by breast cancer patients, and a variety of nonpharmacological interventions are used to treat this symptom cluster.

Objective

To compare the efficacy of nonpharmacological interventions in improving the symptoms of the pain-fatigue-sleep disturbance symptom cluster in breast cancer patients.

Methods

A comprehensive literature search was conducted in the PubMed, EMBASE, Cochrane Library, CINAHL, CNKI, and Wanfang databases to identify randomized controlled studies from database inception to May 2022. Two reviewers independently performed data retrieval and risk of bias assessments. The consistency model was used to conduct network meta-analyses (NMA) based on the frequentist framework to assess the interventions, which were ranked by the surface under the cumulative ranking curve (SUCRA). Finally, the CINeMA application was used to evaluate the results of the NMA and the evidence of quality. The results Twenty-three eligible studies assessing 14 interventions were included. According to SUCRA values, among the management effects of the three symptoms, the effect of progressive muscle relaxation (PMR) ranked first, followed by mindfulness-based stress reduction (MBSR). The overall evidence quality of our study ranges from very low to moderate.

Conclusion

PMR and MBSR were effective interventions for the pain-fatigue-sleep disturbance symptom cluster in breast cancer patients. Clinical recommendations prioritize PMR for symptom management, followed by MBSR. However, this should be interpreted cautiously, as the confidence in the evidence was not high.

Symptom burden survey and symptom clusters in patients with cervical cancer: a cross-sectional survey

PURPOSE

The purpose of this study is to determine the incidence and severity of symptoms of patients with cervical cancer within 6 months after radiotherapy and chemotherapy, form a symptom burden report, evaluate the distribution characteristics of symptoms, identify symptom clusters, and provide a basis for clinical doctors and nurses to improve the symptom management of patients with cervical cancer after radiotherapy and chemotherapy.

METHODS

The patients with cervical cancer within 6 months after radiotherapy and chemotherapy were recruited to investigate their symptom burden. Exploratory factor analysis was used to identify symptom clusters.

RESULTS

A total of 250 patients participated in the study. The study found that the most common symptom among the 40 symptoms was fatigue, and the most serious symptom was nocturia. Based on the occurrence rate and severity of symptoms, nine symptom clusters were identified, including psycho-emotion-related symptom cluster, pain-disturbed sleep-related symptom cluster, menopausal symptom cluster, tinnitus-dizziness-related symptom cluster, urinary-related symptom cluster, dry mouth-bitter taste-related symptom cluster, intestinal-related symptom cluster, memory loss-numbness-related symptom cluster, and emaciation-related symptom cluster. The three most serious symptom clusters are pain-disturbed sleep-related symptom cluster, urinary-related symptom cluster, and memory loss-numbness-related symptom cluster.

CONCLUSION

The symptoms of patients with cervical cancer within 6 months after radiotherapy and chemotherapy are complex, and nine symptom clusters can be identified according to the incidence and severity of symptoms. We can find the potential biological mechanism of each symptom cluster through the discussion of previous mechanism research and clinical research. The number of symptom clusters and the number of symptoms within the symptom cluster are closely related to the symptom evaluation scale selected for the study. Therefore, the symptom cluster study urgently needs a targeted symptom evaluation scale that can comprehensively reflect the patient's condition.

Prevalence, Severity, and Co-Occurrence of SPPADE Symptoms in 31,866 Patients With Cancer

OBJECTIVES

To examine the prevalence, severity, and co-occurrence of SPPADE symptoms as well as their association with cancer type and patient characteristics.

BACKGROUND

The SPPADE symptoms (sleep disturbance, pain, physical function impairment, anxiety, depression, and low energy /fatigue) are prevalent, co-occurring, and undertreated in oncology and other clinical populations.

METHODS

Baseline SPPADE symptom data were analyzed from the E2C2 study, a stepped wedge pragmatic, population-level, cluster randomized clinical trial designed to evaluate a guideline-informed symptom management model targeting the six SPPADE symptoms. Symptom prevalence and severity were measured with a 0-10 numeric rating (NRS) scale for each of the six symptoms. Prevalence of severe (NRS ≥ 7) and potential clinically relevant (NRS ≥ 5) symptoms as well as co-occurrence of clinical symptoms were determined. Distribution-based methods were used to estimate the minimally important difference (MID). Associations of cancer type and patient characteristics with a SPPADE composite score were analyzed.

RESULTS

A total of 31,886 patients were assessed for SPPADE symptoms prior to, during, or soon after an outpatient medical oncology encounter. The proportion of patients with a potential clinically relevant symptom ranged from 17.5% for depression to 33.4% for fatigue. Co-occurrence of symptoms was high, with the proportion of patients with three or more additional clinically relevant symptoms ranging from 45.2% for fatigue to 68.6% for depression. The summed SPPADE composite score demonstrated good internal reliability (Cronbach's alpha of 0.86), with preliminary MID estimates of 4.1-4.3. Symptom burden differed across several types of cancer but was generally similar across most sociodemographic characteristics.

CONCLUSION

The high prevalence and co-occurrence of SPPADE symptoms in patients with all types of cancer warrants clinical approaches that optimize detection and management.

Differences in symptom experience among patients with systemic sclerosis: a cluster analytic approach to identifying subgroups

OBJECTIVES

Symptoms of people who have SSc are heterogeneous and difficult to address clinically. Because diverse symptoms often co-occur and may share common underlying mechanisms, identifying symptoms that cluster together may better target treatment approaches. We sought to identify and characterize patient subgroups based on symptom experience.

METHODS

An exploratory hierarchical agglomerative cluster analysis was conducted to identify subgroups from a large SSc cohort from a single US academic medical centre. Patient-reported symptoms of pain interference, fatigue, sleep disturbance, dyspnoea, depression and anxiety were used for clustering. A multivariate analysis of variance (MANOVA) was used to examine the relative contribution of each variable across subgroups. Analyses of variance were performed to determine participant characteristics based on subgroup assignment. Presence of symptom clusters were tallied within subgroup.

RESULTS

Participants (n = 587; 84% female, 41% diffuse cutaneous subtype, 59% early disease) divided into three subgroups via cluster analysis based on symptom severity: (i) no/minimal, (ii) mild, and (iii) moderate. Participants in mild and moderate symptoms subgroups had similar disease severity, but different symptom presentation. In the mild symptoms subgroup, pain, fatigue and sleep disturbance was the main symptom cluster. Participants in the moderate symptoms subgroup were characterized by co-occurring pain, fatigue, sleep disturbance, depression and anxiety.

CONCLUSION

Identification of distinct symptom clusters, particularly among SSc patients who experience mild and moderate symptoms, suggests potential differences in treatment approach and in mechanisms underlying symptom experience that require further study.

Fatigue-related symptom clusters and functional status of older adults in hospice

BACKGROUND

Fatigue is frequently co-existing with other symptoms and is highly prevalent among patients with cancer and geriatric population. There was a lack of knowledge that focus on fatigue clusters in older adults with cancer in hospice care.

OBJECTIVES

To identify fatigue-related symptom clusters in older adult hospice patients and discover to what extent fatigue-related symptom clusters predict functional status while controlling for depression.

METHOD

This was a cross-sectional study in a sample of 519 older adult hospice patients with cancer, who completed the Memorial Symptom Assessment Scale, the Center for Epidemiological Studies Depression, Boston Short Form Scale, and the Palliative Performance Scale. Data from a multi-center symptom trial were extracted for this secondary analysis using exploratory factor analysis and hierarchical multiple regression analysis.

RESULTS

Data from 519 patients (78 ± 7 years) with terminal cancer who received hospice care under home healthcare services revealed that 39% of the participants experienced fatigue-related symptom clusters (lack of energy, feeling drowsy, and lack of appetite). The fatigue cluster was significantly associated positively with depression (r = 0.253, p < 0.01), and negatively with functional status (r = -0.117, p < 0.01) and was a strong predictor of participants' low functional status. Furthermore, depression made a significant contribution to this predictive relationship.

CONCLUSION

Older adult hospice patients with cancer experienced various concurrent symptoms. The fatigue-specific symptom cluster was identified significantly associated with depression and predicted functional status. Fatigue should be routinely monitored in older adults, especially among hospice cancer patients, to help reduce psychological distress and prevent functional decline.

Assessment of Oncology Patient Engagement and Interest in Virtual Mind-Body Programming: Moving Toward Personalization of Virtual Care

PURPOSE

Accelerated by the COVID-19 pandemic, the virtual platform has become a prominent medium to deliver mind-body therapies, but the extent to which patients engage in virtual mind-body programming remains unclear. This study aims to assess oncology patient engagement in a virtual mind-body program.

METHODS

We surveyed oncology patients enrolled in a live-streamed (synchronous) virtual mind-body program in May 2021. Patients self-reported engagement by weekly attendance. We applied multivariate regression to identify associations of engagement with sociodemographic and clinical factors. As an exploratory analysis, we used machine learning to partition engagement subgroups to determine preferential interest in prerecorded (asynchronous) mind-body therapy videos.

RESULTS

Among 148 patients surveyed (response rate: 21.4%), majority were female (94.5%), White (83.1%), age 65 years or older (64.9%), retired (64.2%), and in survivorship (61.8%). Patient engagement ranged from 1 to 13 classes/week (mean [standard deviation]: 4.23 [2.56]) and was higher for female (β, .82; 95% CI, 0.01 to 1.62), non-White (β, .63; 95% CI, 0.13 to 1.13), and retired patients (β, .50; 95% CI, 0.12 to 0.88). The partition model identified three engagement subgroups: employed (low engagers), retired White (intermediate engagers), and retired non-White (high engagers). Particularly, low engagers had preferential interest in meditation videos (odds ratio, 2.85; 95% CI, 1.24 to 6.54), and both low and high engagers had preferential interest in Tai Chi videos (odds ratio, 2.26; 95% CI, 1.06 to 4.82).

CONCLUSION

In this cross-sectional study among oncology patients, engagement in virtual mind-body programming was higher for female, non-White, and retired patients. Our findings suggest the need for both synchronous and asynchronous mind-body programming to meet the diverse needs of oncology patients.

Cancer nursing research priorities: A rapid review

PURPOSE

Identifying cancer nursing research priorities is central to influencing the direction of cancer care research. The aim of this rapid review was to explore research priorities identified by oncology nurses for cancer care delivery between 2019 and 2022.

METHODS

The Preferred Reporting Items for Systematic Reviews and Meta-Analysis informed the design of the rapid review. MEDLINE, CINAHL, PUBMED, Web of Science, and Cochrane databases were searched for studies published between December 1st, 2018, and September 30th^, 2022. This timeframe was chosen to account for the latest relevant evidence synthesis, as well as changes in cancer care necessitated by the COVID-19 pandemic. The Quality Assessment of Diverse Studies tool was used to appraise quality.

RESULTS

Four studies met the inclusion criteria. Many of the research priorities identified were influenced by the COVID-19 pandemic. The top cancer nursing research priority identified was the role of technology in improving patient and caregiver symptoms and health outcomes. Other most prevalent research priorities were focused on symptom management, culturally sensitive palliative and psychosocial care, early/integrated palliative care, financial toxicity, modifiable risk factors related to social determinants of health, public and patient involvement in research, and oncology nurses' well-being and scope of practice.

CONCLUSION

The findings indicate a need to steer a strategic programme of cancer nursing research towards digitalisation in cancer care to meet the current needs of people living with cancer and their caregivers. However, cancer nurses' burnout, staff shortages and disparities in specialist education will hinder the implementation of certain models of care.

Patterns of Concerns Among Hematological Cancer Survivors

BACKGROUND

Advances in treatment for hematological cancers warrant greater attention on survivorship concerns.

OBJECTIVE

The aims of this study were to describe survivorship concerns among hematological cancer survivors, identify subgroups of survivors with distinct classes of concerns, and examine sociodemographic and clinical differences across subgroups.

METHODS

We conducted a cross-sectional analysis of data from 1160 hematological cancer survivors, who rated their degree of concern regarding 20 physical, emotional, and practical changes. Clusters of concerns were identified using latent class analysis. Associations between respondent characteristics and cluster membership were calculated using multinomial logistic regression.

RESULTS

Survivors had a mean of 7.5 concerns (SD, 4.6; range, 0-19), the most frequent being fatigue/tiredness (85.4%); anxiety, stress, and worry about cancer returning (70.2%); and changes to concentration/memory (55.4%). Three distinct classes of concerns were identified: class 1 (low, 47.0%), characterized by low endorsement of most concerns, apart from fatigue; class 2 (moderate, 32.3%), characterized by high endorsement of a combination of concerns across domains; and class 3 (high, 20.7%), characterized by the highest number of concerns out of the 3 identified classes, including greater endorsement of concerns relating to sexual well-being. Class membership was differentiated by survivor age, sex, marital status, and diagnosis.

CONCLUSIONS

Three distinct patterns of concerns were detected in a large sample of hematological cancer survivors. Patterns of concerns could be differentiated by survivor characteristics.

IMPLICATIONS FOR PRACTICE

Our study highlights the concerns experienced by hematological cancer survivors and provides support for a tailored biopsychosocial approach to survivorship care in this context.

Distinct sleep disturbance and cognitive dysfunction profiles in oncology outpatients receiving chemotherapy

PURPOSE

Sleep disturbance and cancer-related cognitive impairment (CRCI) are two of the most common symptoms reported by patients undergoing chemotherapy. Less is known about how these symptoms co-occur and their associated risk factors. Study purposes were to identify subgroups of patients with distinct sleep disturbance and CRCI profiles and evaluate for differences among the subgroups in demographic and clinical characteristics, symptom severity scores, and QOL outcomes.

METHODS

A total of 1,333 oncology outpatients receiving chemotherapy completed self-report questionnaires on sleep disturbance and cognitive dysfunction six times over two cycles of chemotherapy. Latent profile analysis was used to identify distinct sleep disturbance AND cognitive dysfunction profiles. Parametric and non-parametric tests were used to evaluate for differences among the classes.

RESULTS

Two distinct profiles were identified (i.e., Low = low levels of both sleep disturbance and cognitive dysfunction (53.5%); High = high levels of both sleep disturbance and cognitive dysfunction (45.5%)). Patients in the High class were younger, more likely to be female, had a lower functional status and a higher level of comorbidity. In addition, these patients had a higher symptom burden and a lower quality of life.

CONCLUSION

Almost half of the patients undergoing chemotherapy experienced clinically meaningful levels of both symptoms. Of note, sleep disturbance is frequently overlooked by both clinicians and patients. Clinicians need to recommend cognitive rehabilitation and physical activity programs to decrease patients' symptom burden.

Implementing an evidence-based somatic acupressure intervention in breast cancer survivors with the symptom cluster of fatigue, sleep disturbance and depression: study protocol of a phase II randomised controlled trial

INTRODUCTION

The fatigue-sleep disturbance-depression (FSD) symptom cluster, as one of the most common symptom clusters in breast cancer (BC) survivors, can significantly decrease patients' quality of life. Since the management of the FSD symptom cluster has been unsatisfactory with the use of pharmacological treatments alone, non-pharmacological approaches have, therefore, been recommended. Somatic acupressure (SA) is a promising approach given its potential benefits of cancer-related symptom alleviation and the convenience of self-practice. However, research evidence on using acupressure to manage the FSD symptom cluster has been limited. The proposed trial aims to examine the feasibility and preliminary effects of an evidence-based SA intervention for FSD symptom cluster management in BC survivors.

METHODS AND ANALYSIS

This study will be a phase II randomised controlled trial with three study arms and 1:1:1 allocation. Fifty-one early-stage BC survivors who are experiencing the FSD symptom cluster will be randomly assigned to a true SA group, a sham SA group or a usual care group. All participants will receive an education booklet regarding FSD symptom cluster management advice as the usual care package. The participants in the true SA group will additionally receive a 7-week self-administered SA intervention. The participants in the sham SA group will additionally receive self-administered light acupressure at non-acupoints with the same frequency, session and duration as the true SA group. The primary outcomes will be feasibility outcomes related to subject recruitment and completion of study questionnaires and interventions. The secondary outcomes will be the effects of SA on fatigue, sleep disturbance, depression and quality of life. Descriptive statistics will be used to present all the outcomes. The secondary outcomes will be analysed using an intent-to-treat approach.

ETHICS AND DISSEMINATION

Ethical approvals of this trial have been granted by the Human Research Ethics Committee at Charles Darwin University (H19017) and the Clinical Trial Ethics Committee at The Affiliated Hospital of Southwest Medical University (KY2019039). Findings from this trial will be published in peer-reviewed journals and presented at professional conferences.

TRIAL REGISTRATION NUMBER

This trial was registered at ClinicalTrials.gov and the registration number is NCT04118140, with the stage at Recruiting.

Symptomatic Features and Factors Associated With Do-Not-Resuscitate Consent in Advanced Cancer Patients Admitted to Palliative Care Ward

This study aimed to conduct a retrospective cross-sectional study to investigate the prevalence of symptoms and symptom clusters on sociodemographic and disease characteristics, as well as factors associated with Do-Not-Resuscitate (DNR) consent. Advanced cancer patients were enrolled between 2018 and 2020 with available data. Demographic and clinical data were obtained for analysis from Hospital Information System (HIS) in China. Symptom clusters were extracted by hierarchical cluster analysis. Chi-square test and multiple logistic regression were conducted to investigate the prevalence characteristics of symptoms and influencing factors of DNR consent, respectively. 798 advanced cancer patients were enrolled. The most prevalent symptoms were pain (93%), anorexia (36.5%), and sleep disorders (34.2%). High heart rate was associated with poor performance status and more symptoms. Three clusters were extracted: fatigue-related, respiratory-circulatory system, and digestive system symptom clusters. The incidence of symptoms was statistically significant in age, gender, education level, residence, BMI, performance status, distress score, ADL, and primary pain level. The DNR signature rate was 15.5%. Female, distant metastasis, in-ward rescue, and appearance of dyspnea were independent influencing factors of DNR signature.Chinese hospitalized cancer patients had more symptoms burden that were influenced by various demographic characteristics, especially pain and fatigue-related symptoms. Concerning the trajectory of vital signs is important among advanced cancer patients. The DNR signature rate was lower and our finding indicating an urgency to accurately assess the prognosis and give more palliative care education to enhance DNR rates and early signing in Chinese context.

Mind-Body Therapies for Cancer Patients Living with Depression, Anxiety or Insomnia (MIRACLE): A Systematic Review with Individual Participant Data Network Meta-Analysis

Depression, anxiety, and insomnia are common in cancer patients. Mind-body therapies (MBTs) are promising forms of treatment for cancer patients living with depression, anxiety, and insomnia. The objective of this study is to assess the effectiveness and acceptability of MBTs in cancer patients living with depression, anxiety, or insomnia. EMBase, PubMed, Cinahl, PsychINFO, IndMED, CSI-NISCAIR, CNKI, Clinicaltrial.gov, ChiCTR, and CTRI will be searched until October 2020 for relevant studies. Randomized controlled studies in which MBTs were tested in a cancer population will be selected. The authors of the selected studies will be contacted to obtain individual participant data. The participants who reached a defined clinical threshold for depression, anxiety, or insomnia will be selected for the three sub-studies on depression, anxiety, and insomnia, respectively. Pairwise and network meta-analyses will be used to assess the changes in depression, anxiety, sleep quality, and completion rate. We will assess the effect of the treatment dose (number and frequency of interventions) on effectiveness. The results of this study will inform clinical decision-making for the treatment of psychological disturbances in cancer patients. If MBTs are found effective, they will potentially be recommended as treatments for cancer patients with psychological symptoms.

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

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.