Quantification of preoperative frailty is an important prognostic tool in neurosurgical decision making. Metastatic spine tumor patients undergoing surgery are frail and have unfavorable outcomes that include an increased length of stay, unfavorable discharge disposition, and increased readmission rates. These undesirable outcomes result in higher treatment costs. A heterogeneous mixture of various frailty indexes is available with marked variance in their validation, leading to disparate clinical utility. The lack of a universally accepted definition for frailty, let alone in the method of creation or elements required in the formation of a frailty index, has resulted in a body of frailty literature lacking precision for predicting neurosurgical outcomes. In this review, we examine the role of reported frailty indexes in predicting postoperative outcomes after resection of metastatic spine tumors and aim to assist as a frailty guide for helping clinical decision making.

Due to the diversified and high sensitivity of breast cancer surgical treatment, various decision making styles show different functions in making trade-offs and sharing information. Shared decision making is the best practice paradigm to promote health outcomes. This study aimed to determine the overall frequency of shared decision making and explore influencing factors during the surgical decision-making process from breast cancer patients\' perspectives. We searched 8 databases for studies about breast cancer patients\' surgical decisional control preferences and shared decision making preference. Two researchers screened the literature, extracted the data, and evaluated the literature quality. Meta-analysis of the frequency of preferred and actual shared decision making and decision congruence was performed. Due to the limited studies of influencing factors, descriptive analysis was used. Fourteen original studies were included in this study. We found the overall pooled frequency of the preferred shared decision making of 48.1% (95%CI 33.5%, 62.6%) and the actual shared decision making of 38.1% (95%CI 33.9%, 42.2%). Moreover, the pooled frequency of the decision congruence between preferred and actual decision styles was 61.7% (95%CI 54.6%, 68.8%). The descriptive analysis findings indicated that the influencing factors of shared decision making included individual factors, surgeon-patient communication factors, and health setting factors. There was a gap between the preferred and actual decision styles in the surgical context. Therefore, health care providers should identify potential shared decision making barriers and facilitators, and advocate the clinical shared decision making model to embed shared decision making into routine practice.