Study on sentinel symptoms and influencing factors of postoperative chemotherapy in patients with gastric cancer

Wei, Lanzhi; Lv, Fei; Luo, Chunxiong; Yan, F.

doi:10.1016/j.ejon.2023.102318

Cited by 6 publications

(4 citation statements)

References 38 publications

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“…Pain—fatigue—disturbed sleep showed the highest mean severity among symptom clusters, which is not unexpected in patients receiving cancer toxicology. 4 , 5 , 26 However, the associations between pain, fatigue, and disturbed sleep in our study were not as strong as the associations between nausea—vomiting, sadness—distress, and lack of appetite—change in taste. No matter how the other symptom relationships change, these three sets of symptom associations were always closely related in the networks of the full sample, Profile 1, and Profile 2.…”

Section: Discussioncontrasting

confidence: 86%

Chemotherapy-related symptom networks in distinct subgroups of Chinese patients with gastric cancer

Li,

Zou,

Zhang

et al. 2024

Asia-Pacific Journal of Oncology Nursing

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Section: Discussioncontrasting

confidence: 86%

Chemotherapy-related symptom networks in distinct subgroups of Chinese patients with gastric cancer

Li,

Zou,

Zhang

et al. 2024

Asia-Pacific Journal of Oncology Nursing

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“…Using the MDASI, Zhu et al 34 showed that fatigue was the most severe symptom and that sadness had the largest strength and closeness values in cancer survivors (n = 1065). These discrepancies may be due to differences in the individuals included, assessment methodologies, tumor features, and treatments 19,35 .…”

Section: Discussionmentioning

confidence: 99%

Identifying central symptoms and central symptom clusters in acute myeloid leukemia patients receiving chemotherapy: A network analysis

Guo,

Meng,

et al. 2024

Preprint

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Purpose. Patients with acute myeloid leukemia who are receiving chemotherapy experience multiple concurrent symptoms (i.e., symptom clusters) that interfere with activities of daily living. However, few studies have focused on revealing the relationship between these symptoms and symptom clusters. We used network analysis to identify central symptoms and central symptom clusters and analyze the relationships between them in acute myeloid leukemia patients receiving chemotherapy. Methods. A cross-sectional study was conducted among 575 acute myeloid leukemia patients receiving chemotherapy. The Chinese version of the Memorial Symptom Assessment Scale was used to assess the symptoms via convenience sampling. Exploratory factor analysis was used for symptom cluster identification. Network analysis was used to construct the symptom network and centrality indices. Results. The most common symptom was lack of energy. The most severe and distressing symptom was worrying. Three symptom clusters were identified: neuropathy, nutritional, and psychological. In the network, the central symptom was feeling sad (rs=1.233), and the neuropathy symptom cluster was the most central symptom cluster in adult acute leukemia patients receiving chemotherapy (rs=0.903). Conclusions. Our study demonstrated the importance of assessing centrality indices and network density as essential components of acute leukemia. Future studies should focus on constructing dynamic symptom and symptom cluster networks, analyzing centrality indices using longitudinal data to explore causality among symptoms and symptom clusters for targeting central symptoms, and developing interventions for managing central symptom clusters.

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“…The Apriori algorithm is the most widely used algorithm for association analysis in data mining, as it enables the exploration of essential rules and potential connections among variables. Its effectiveness in identifying sentinel symptoms within SCs has been demonstrated [ 20 , 23 , 27 ]. Support and confidence are standard metrics in the Apriori algorithm for quantifying the association between symptoms.…”

Section: Methodsmentioning

confidence: 99%

“…The sentinel symptom is defined as a concurrent indicator or marker signifying the existence of an SC, which can provide a new perspective on symptom management [ 19 ]. Sentinel symptoms appear initially and exert an influence on the other symptoms within the SC [ 20 ]. If healthcare providers can identify sentinel symptoms and implement strategic interventions targeting SCs, they may be more effective in proactively advancing the timing of interventions and intervening in the subsequent progression of symptoms [ 21 , 22 ].…”

Section: Introductionmentioning

confidence: 99%

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

Luo,

Mao,

Zhang

et al. 2024

Support Care Cancer

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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.

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Study on sentinel symptoms and influencing factors of postoperative chemotherapy in patients with gastric cancer

Cited by 6 publications

References 38 publications

Chemotherapy-related symptom networks in distinct subgroups of Chinese patients with gastric cancer

Chemotherapy-related symptom networks in distinct subgroups of Chinese patients with gastric cancer

Identifying central symptoms and central symptom clusters in acute myeloid leukemia patients receiving chemotherapy: A network analysis

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

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