Abstract
Numerous studies have demonstrated that psychological interventions are effective in alleviating anxiety and depression in patients with cancer. However, the optimal psychological intervention to alleviate anxiety and depression in patients with cancer remains unknown. This study was carried out to compare and rank the comparative effectiveness of various psychological interventions on anxiety and depression in patients with cancer. Databases, namely PubMed, Embase, Cochrane Library, Web of Science, PsycINFO, CNKI, WanFang, VIP and CBM were systematically searched from their inception dates to December 2023 for randomized controlled trials of psychological interventions for anxiety and depression in patients with cancer. Utilizing the Cochrane Review Manager 5.4, we evaluated the risk of bias in the studies included in the current study based on the Cochrane Handbook 5.1.0 Methodological Quality Evaluation Criteria. The NMA was conducted using STATA 15.0. This study did not involve human participants and therefore did not require ethical approval. Thirty-one randomized controlled trials involving 3471 participants were included. MT [SMD = 1.35, 95% CI (0.76, 1.93)] and cognitive behavioral therapy (CBT) [SMD = 0.97, 95% CI (0.53, 1.42)] were superior to usual care in alleviating anxiety. Besides, interpersonal psychotherapy (IPT) [SMD = 1.17, 95% CI (0.06, 2.28)], CBT [SMD = 0.97, 95 % CI (0.63, 1.30)], and MT [SMD = 0.93, 95% CI (0.35, 1.50)] were superior to usual care in alleviating depression. In addition, CBT was superior to family therapy in alleviating depression [SMD = 0.73, 95% CI (0.08, 1.38)]. The MT, CBT, and IPT ranked in the top three in alleviating anxiety, while IPT, CBT, and MT ranked in the top three in alleviating depression. MT and IPT would be a more appropriate option in alleviating anxiety and depression in patients with cancer, respectively. This study also suggested that CBT had a significant effect in alleviating negative emotions in patients with cancer. However, the results need to be validated by high-quality and large-sample studies.
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