Competing neural representations of choice shape evidence accumulation in humans.

Making adaptive choices in dynamic environments requires flexible decision policies. Previously, we showed how shifts in outcome contingency change the evidence accumulation process that determines decision policies. Using in silico experiments to generate predictions, here we show how the cortico-basal ganglia-thalamic (CBGT) circuits can feasibly implement shifts in decision policies. When action contingencies change, dopaminergic plasticity redirects the balance of power, both within and between action representations, to divert the flow of evidence from one option to another. When competition between action representations is highest, the rate of evidence accumulation is the lowest. This prediction was validated in in vivo experiments on human participants, using fMRI, which showed that (1) evoked hemodynamic responses can reliably predict trial-wise choices and (2) competition between action representations, measured using a classifier model, tracked with changes in the rate of evidence accumulation. These results paint a holistic picture of how CBGT circuits manage and adapt the evidence accumulation process in mammals.

The Use and Short-term Outcomes of Active Surveillance in Men With National Comprehensive Cancer Network Favorable Intermediate-risk Prostate Cancer: The Initial Michigan Urological Surgery Improvement Collaborative Experience.

PURPOSE: National Comprehensive Cancer Network favorable intermediate-risk prostate cancer is a heterogeneous disease with varied oncologic and survival outcomes. We describe the Michigan Urological Surgery Improvement Collaborative's experience with the use of active surveillance and the short-term oncologic outcomes for men with favorable intermediate-risk prostate cancer.Materials and Methods:We reviewed the Michigan Urological Surgery Improvement Collaborative registry for men diagnosed with favorable intermediate-risk prostate cancer from 2012-2020. The proportion of men with favorable intermediate-risk prostate cancer managed with active surveillance was calculated by year of diagnosis. For men selecting active surveillance, the Kaplan-Meier method was used to estimate treatment-free survival. To assess for the oncologic safety of active surveillance, we compared the proportion of patients with adverse pathology and biochemical recurrence-free survival between men undergoing delayed radical prostatectomy after a period of active surveillance with men undergoing immediate radical prostatectomy. RESULTS: Of the 4,275 men with favorable intermediate-risk prostate cancer, 1,321 (31%) were managed with active surveillance, increasing from 13% in 2012 to 45% in 2020. The 5-year treatment-free probability for men with favorable intermediate-risk prostate cancer on active surveillance was 73% for Gleason Grade Group 1 and 57% for Grade Group 2 disease. More men undergoing a delayed radical prostatectomy had adverse pathology (46%) compared with immediate radical prostatectomy (32%, P < .001), yet short-term biochemical recurrence was similar between groups (log-rank test, P = .131). CONCLUSIONS: The use of active surveillance for men with favorable intermediate-risk prostate cancer has increased markedly. Over half of men with favorable intermediate-risk prostate cancer on active surveillance remained free of treatment 5 years after diagnosis. Most men on active surveillance will not lose their window of cure and have similar short-term oncologic outcomes as men undergoing up-front treatment. Active surveillance is an oncologically safe option for appropriately selected men with favorable intermediate-risk prostate cancer.

Impact of Race and Socioeconomic Status on Outcomes in Patients Hospitalized with COVID-19.

BACKGROUND: The impact of race and socioeconomic status on clinical outcomes has not been quantified in patients hospitalized with coronavirus disease 2019 (COVID-19). OBJECTIVE: To evaluate the association between patient sociodemographics and neighborhood disadvantage with frequencies of death, invasive mechanical ventilation (IMV), and intensive care unit (ICU) admission in patients hospitalized with COVID-19. DESIGN: Retrospective cohort study. SETTING: Four hospitals in an integrated health system serving southeast Michigan. PARTICIPANTS: Adult patients admitted to the hospital with a COVID-19 diagnosis confirmed by polymerase chain reaction. MAIN MEASURES: Patient sociodemographics, comorbidities, and clinical outcomes were collected. Neighborhood socioeconomic variables were obtained at the census tract level from the 2018 American Community Survey. Relationships between neighborhood median income and clinical outcomes were evaluated using multivariate logistic regression models, controlling for patient age, sex, race, Charlson Comorbidity Index, obesity, smoking status, and living environment. KEY RESULTS: Black patients lived in significantly poorer neighborhoods than White patients (median income: $34,758 (24,531-56,095) vs. $63,317 (49,850-85,776), p < 0.001) and were more likely to have Medicaid insurance (19.4% vs. 11.2%, p < 0.001). Patients from neighborhoods with lower median income were significantly more likely to require IMV (lowest quartile: 25.4%, highest quartile: 16.0%, p < 0.001) and ICU admission (35.2%, 19.9%, p < 0.001). After adjusting for age, sex, race, and comorbidities, higher neighborhood income ($10,000 increase) remained a significant negative predictor for IMV (OR: 0.95 (95% CI 0.91, 0.99), p = 0.02) and ICU admission (OR: 0.92 (95% CI 0.89, 0.96), p < 0.001). CONCLUSIONS: Neighborhood disadvantage, which is closely associated with race, is a predictor of poor clinical outcomes in COVID-19. Measures of neighborhood disadvantage should be used to inform policies that aim to reduce COVID-19 disparities in the Black community.