Patient Decision Aids for Breast Cancer Reconstruction: A Systematic Review and Network Meta-Analysis of Randomized Controlled Trials.

Background: Breast cancer has surpassed lung cancer to become the most frequently diagnosed cancer in women. There has been a dramatic increase in the use of breast reconstruction after mastectomy. However, struggle in making decisions regarding breast reconstruction has existed. Thus, a study of decision aids (DAs) needs to be conducted, and further studies are needed to promote better DAs. This review discusses how DAs can be used to help women make decisions about breast reconstruction after mastectomy. In addition, the review was the first to compare different DA formats to determine which one is most effective.

Methods: The authors searched for relevant studies published before October of 2022 in PubMed and Embase using the medical subject headings "breast reconstruction" and "decision aid." Demographic data and decision, outcomes, and instruments used for assessment were also collected. Risk of bias was measured by the Cochrane Risk of Bias 2 tool.

Results: A network meta-analysis of 14 RCTs with a total of 1401 patients were included. A total of 90.9% participants presented usable results for evaluation of decisional conflict, and web-based DA (-0.3; 95% CI, -0.56 to -0.05) showed significant improvement; 50.3% of participants provided results of decisional regret, and no subgroups showed significant reduction; 60.3% of participants contributed to results for knowledge, and web-based DA (0.61; 95% CI, 0.01 to 1.21) showed the most positive effect. A total of 44.5% of participants were included for evaluation of satisfaction, and web-based DA (0.44; 95% CI, 0.15 to 0.72) revealed significant increase.

Conclusion: The review concluded that web-based DAs are the favorable format of DA.

Clinical question/level of evidence: Therapeutic, II.