Effects of self-management interventions for cancer patients with pain: A systematic review of randomised controlled trials

AIMS

To evaluate the effects of self-management interventions targeting individuals with cancer-related pain on pain intensity, self-efficacy, quality of life (QoL), pain medication adherence, and pain-related knowledge and provide recommendations for the content and format of self-management interventions based on the existing evidence.

DESIGN

A systematic review of randomised controlled trials (RCTs) and narrative synthesis.

DATA SOURCES

A search of six electronic databases, including Medline, PsycINFO, EMBASE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Web of Science and Scopus.

REVIEW METHODS

This systematic review followed the Preferred Reporting for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies published from January 2011 to March 2022 in English were retrieved. The Cochrane Risk of Bias Tool was used to assess quality. Data were summarised using narrative synthesis.

RESULTS

This systematic review included six RCTs involving 748 patients with cancer-related pain. The results support the effectiveness of the intervention on QoL and pain-related knowledge. Mixed results were observed in the effectiveness on pain intensity, self-efficacy and medication adherence. Overall, the quality of the evidence was low. The content of self-management interventions varied across studies but with similar formats (face-to-face coaching and telephone follow-up).

CONCLUSION

The existing evidence supports the effectiveness of self-management interventions on pain-related knowledge and QoL. Further high-quality RCTs are needed to determine the most effective interventions.

RELEVANCE TO CLINICAL PRACTICE

Self-management is recommended to improve cancer patients' pain awareness, self-management behaviour and adaptability. Components for self-management of cancer pain, including patient attitude and knowledge assessment, nurse coaching and counselling, reinforcement during follow-up period, and provision of supplementary materials on pain management and medication adherence, could be covered in the intervention. In the future, it is worthwhile exploring an effective intervention using Internet-based information technology, for example WeChat, to aid the delivery of self-management intervention.

NO PATIENT OR PUBLIC CONTRIBUTION

This systematic review does not necessarily involve patients or public members in this work.

Exploring the novel SNPs in neuroticism and birth weight based on GWAS datasets

OBJECTIVES

Epidemiological studies have confirmed that low birth weight (BW) is related to neuroticism and they may have a common genetic mechanism based on phenotypic correlation research. We conducted our study on a European population with 159,208 neuroticism and 289,142 birth weight samples. In this study, we aimed to identify new neuroticism single nucleotide polymorphisms (SNPs) and pleiotropic SNPs associated with neuroticism and BW and to provide more theoretical basis for the pathogenesis of the disease.

METHODS

We estimated the pleiotropic enrichment between neuroticism and BW in two independent Genome-wide association studies (GWAS) when the statistical thresholds were Conditional False Discovery Rate (cFDR) < 0.01 and Conjunctional Conditional False Discovery Rate (ccFDR) < 0.05. We performed gene annotation and gene functional analysis on the selected significant SNPs to determine the biological role of gene function and pathogenesis. Two-sample Mendelian Randomization (TSMR) analysis was performed to explore the causal relationship between the neuroticism and BW.

RESULTS

The conditional quantile-quantile plots (Q-Q plot) indicated that neuroticism and BW have strong genetic pleiotropy enrichment trends. With the threshold of cFDR < 0.001, we identified 126 SNPs related to neuroticism and 172 SNPs related to BW. With the threshold of ccFDR < 0.05, we identified 62 SNPs related to both neuroticism and BW. Among these SNPs, rs8039305 and rs35755513 have eQTL (expressed quantitative trait loci) and meQTL (methylation quantitative trait loci) effects simultaneously. Through GO enrichment analysis we also found that the two pathways of positive regulation of "mesenchymal cell proliferation" and "DNA-binding transcription factor activity" were significantly enriched in neuroticism and BW. Mendelian randomization analysis results indicate that there is no obvious causal relationship between neuroticism and birth weight.

CONCLUSION

We found 126 SNPs related to neuroticism, 172 SNPs related to BW and 62 SNPs associated with both neuroticism and BW, which provided a theoretical basis for their genetic mechanism and novel potential targets for treatment/intervention development.