ABSTRACT
BACKGROUND: As breast cancer screening guidelines have changed recently, additional investigation is needed to understand changes in women's behavior after using breast cancer screening patient decision aids (BCS-PtDAs) and the potential effect on mammography utilization. This systematic review and meta-analysis sought to evaluate the effect of BCS-PtDAs on changes in women's intentions to undergo screening mammography and whether women deciding to begin or discontinue screening mammography displayed similar changes in screening intentions after using a BCS-PtDA. METHODS: We searched Medline, Scopus, PsycINFO, CENTRAL, Health and Psychosocial Instruments, Health Technology Assessment Database, PsycARTICLES, and cited references in eligible papers for randomized controlled trials (RCTs) and observational studies, published through August 24, 2016. The proportions of women who did and not intend to undergo screening and who were uncertain about undergoing screening mammography were pooled, using risk ratios (RR) and random effects. According to the protocol, RCTs or observational studies and any language were considered eligible for systematic review if they included data about women for which shared decision making is recommended. RESULTS: We ultimately included six studies with screening intention data for 2040 women. Compared to usual care, the use of BCS-PtDAs in three RCTs resulted in significantly more women deciding not to undergo screening mammography (RR 1.48 [95% CI 1.04-2.13]; P = 0.03), particularly for younger (38-50 years) women (1.77 [1.34-2.34]; P < 0.001). The use of BCS-PtDAs had a non-significant effect on the intentions of older women (69-89 years) to discontinue screening. CONCLUSIONS: The use of BCS-PtDAs increased younger women's reluctance to undergo screening for breast cancer. The implementation of such BCS-PtDAs in clinical practice would be expected to result in a 77% increase in the number of younger women (aged 38-50) who do not intend to be screened, and as a consequence, may reduce utilization of screening mammography. REGISTRATION: The protocol of this review is registered in the PROSPERO database, #CRD42016036695.
Subject(s)
Breast Neoplasms/diagnosis , Decision Support Techniques , Early Detection of Cancer/trends , Mammography/trends , Patient Participation/trends , Breast Neoplasms/epidemiology , Decision Making , Early Detection of Cancer/psychology , Female , Humans , Mammography/psychology , Patient Participation/psychology , Randomized Controlled Trials as Topic/methodsABSTRACT
OBJECTIVE: Clinicians often use depth-electrode recordings to localize human epileptogenic foci. To advance the diagnostic value of these recordings, we applied logistic regression models to single-neuron recordings from depth-electrode microwires to predict seizure onset zones (SOZs). APPROACH: We collected data from 17 epilepsy patients at the Barrow Neurological Institute and developed logistic regression models to calculate the odds of observing SOZs in the hippocampus, amygdala and ventromedial prefrontal cortex, based on statistics such as the burst interspike interval (ISI). MAIN RESULTS: Analysis of these models showed that, for a single-unit increase in burst ISI ratio, the left hippocampus was approximately 12 times more likely to contain a SOZ; and the right amygdala, 14.5 times more likely. Our models were most accurate for the hippocampus bilaterally (at 85% average sensitivity), and performance was comparable with current diagnostics such as electroencephalography. SIGNIFICANCE: Logistic regression models can be combined with single-neuron recording to predict likely SOZs in epilepsy patients being evaluated for resective surgery, providing an automated source of clinically useful information.
