Stress and cancer-related lifestyle factors among African American heterosexual couples

Comparison of Classically and Machine Learning Generated Survival Prediction Models for Patients With Spinal Metastasis - A meta-Analysis of Two Recently Developed Algorithms

STUDY DESIGN

A systemic review and a meta-analysis. We also provided a retrospective cohort for validation in this study.

OBJECTIVE

(1) Using a meta-analysis to determine the pooled discriminatory ability of The Skeletal Oncology Research Group (SORG) classical algorithm (CA) and machine learning algorithms (MLA); and (2) test the hypothesis that SORG-CA has less variability in performance than SORG-MLA in non-American validation cohorts as SORG-CA does not incorporates regional-specific variables such as body mass index as input.

METHODS

After data extraction from the included studies, logit-transformation was applied for extracted AUCs for further analysis. The discriminatory abilities of both algorithms were directly compared by their logit (AUC)s. Further subgroup analysis by region (America vs non-America) was also conducted by comparing the corresponding logit (AUC).

RESULTS

The pooled logit (AUC)s of 90-day SORG-CA was .82 (95% confidence interval [CI], .53-.11), 1-year SORG-CA was 1.11 (95% CI, .74-1.48), 90-day SORG-MLA was 1.36 (95% CI, 1.09-1.63), and 1-year SORG-MLA was 1.57 (95% CI, 1.17-1.98). All the algorithms performed better in United States than in Taiwan (P < .001). The performance of SORG-CA was less influenced by a non-American cohort than SORG-MLA.

CONCLUSION

These observations might highlight the importance of incorporating region-specific variables into existing models to make them generalizable to racially or geographically distinct regions.

Examining the role of social relationships on health and health behaviors in African American men with prostate cancer: a qualitative analysis

PURPOSE

Cancer survivor cohort studies document the positive impact of health behaviors on cancer survivorship by influencing quality of life, comorbidity burden, and cancer recurrence. Social networks can be instrumental in supporting health behavior changes. This study used qualitative interviews to explore how social networks may impact health and health behaviors of African American Prostate Cancer Survivors (AAPCS) enrolled in Men Moving Forward (MMF), a lifestyle intervention designed with and for AAPCS. Specifically, we sought to understand how different relationships within social networks influence health and health behaviors, and to identify potential mechanisms for this influence.

METHODS

Eighteen men who completed the MMF intervention participated in a semi-structured interview which explored social connections, health and health behaviors, stress, and the cancer experience. Interviews were recorded and transcribed, and thematic analysis was performed by two coders.

RESULTS

Participants described robust social networks of friends and family. Four distinct yet overlapping themes were identified that described how relationships influence health and health behaviors among AAPCS: (1) provision of knowledge, (2) health and behavior history, (3) encouragement and support, and (4) shared behavior.

CONCLUSIONS

These results provide initial insight into the types of relationships that influence health, and the intersecting and multifaceted mechanisms through which this influence occurs.

Cultural Adaptation of Evidence-Based Lifestyle Interventions for African American Men With Prostate Cancer: A Dyadic Approach

Although a number of lifestyle interventions have been developed for cancer survivors, the extent to which they are effective for African American men with cancer is unclear. Given that African American men have the highest prostate cancer burden and the lack of proven interventions, this study developed a culturally-tailored lifestyle intervention for African American men with prostate cancer and their partners that aimed to improve healthy lifestyle behaviors (physical activity and healthy eating) and quality of life. The aim of the present study is to provide a detailed overview of the model-based process of intervention adaptation. Based on the IM Adapt approach (Highfield et al., 2015) and Typology of Adaptation (Davidson et al., 2013), the present study adapted existing, evidence-based interventions to address African American prostate cancer survivors' and their partners' potential unmet needs including anxiety/uncertainty about cancer progression, communication between partners, cultural sensitivity, and concordance/discordance of motivation and behaviors between partners. The intervention adaptation was a comprehensive and fluid process. To the best knowledge of the author, this is the first couple-based lifestyle intervention specifically developed for African American men with prostate cancer. The present study will be highly informative to future investigators by providing flexible and detailed information regarding lifestyle intervention adaptation for racial/ethnic minority men with prostate cancer and their partners.