Abstract
OBJECTIVE: This study aimed to synthesize the available knowledge of identifying hepatocellular carcinoma (HCC) symptoms and symptom clusters in patients with HCC and instruments used for these assessments to maximize symptom management. METHODS: Whittemore and Knafl's integrative review method was employed to guide a systematic search for literature in five databases (PubMed, ScienceDirect, Scopus, CINAHL, and ThaiJO). The retrieved articles were limited to those which were peer-reviewed, published between 2005 and 2022, and had English abstracts. All of identified studies were screened, extracted, and analyzed independently by two researchers. RESULT: Fourteen articles were included in this review. They were grouped into three themes: symptoms, symptom assessment, and symptom clusters of HCC patients. Fatigue, lack of energy, stomach or abdominal pain/distension, loss of appetite, change in taste, sleep disturbance, distress, and sadness are the most prevalent symptoms reported in HCC patients. The different concurrent symptoms are related to the stage and treatment. Five types of symptom assessment instruments were commonly used (symptoms-specific HCC, general cancer symptom, measuring non-symptom constructs, measuring specific symptoms, such as fatigue, sleep disturbance, anxiety, and depression, and symptom assessment with clinical examination). Furthermore, the symptom clusters in HCC patients were classified into five categories: 1) pain-related symptoms, 2) gastrointestinal symptoms, 3) neuropsychological symptom clusters and sensory symptoms, 4) liver dysfunction-related symptom clusters, and 5) others (including sickness symptom clusters, fatigue clusters, location pain symptoms, and asymptomatic or symptomatic). CONCLUSION: The findings of this review add to the body of knowledge on symptoms, symptom assessment, and symptom clusters in patients with HCC. Despite a variety of instruments being available, none covers all symptoms experienced by HCC patients. It is recommended that future studies should include larger and more homogenous samples to evaluate assessment instruments more precisely, avoid ambiguity in classifying symptoms into symptom clusters, and increase the effectiveness of symptom management.