High-level evidence related to pharmacological strategies for managing Lewy body dementia is rare. Strategies for important areas of need in Lewy body dementia, such as autonomic symptoms and caregiver burden, have not been investigated, nor have the views of patients and caregivers about pharmacological strategies.

Objective To examine the accuracy of artificial intelligence (AI) for the detection of breast cancer in mammography screening practice. Design Systematic review of test accuracy studies. Data sources Medline, Embase, Web of Science, and Cochrane Database of Systematic Reviews from 1 January 2010 to 17 May 2021. Eligibility criteria Studies reporting test accuracy of AI algorithms, alone or in combination with radiologists, to detect cancer in women’s digital mammograms in screening practice, or in test sets. Reference standard was biopsy with histology or follow-up (for screen negative women). Outcomes included test accuracy and cancer type detected. Study selection and synthesis Two reviewers independently assessed articles for inclusion and assessed the methodological quality of included studies using the QUality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. A single reviewer extracted data, which were checked by a second reviewer. Narrative data synthesis was performed. Results Twelve studies totalling 131 822 screened women were included. No prospective studies measuring test accuracy of AI in screening practice were found. Studies were of poor methodological quality. Three retrospective studies compared AI systems with the clinical decisions of the original radiologist, including 79 910 women, of whom 1878 had screen detected cancer or interval cancer within 12 months of screening. Thirty four (94%) of 36 AI systems evaluated in these studies were less accurate than a single radiologist, and all were less accurate than consensus of two or more radiologists. Five smaller studies (1086 women, 520 cancers) at high risk of bias and low generalisability to the clinical context reported that all five evaluated AI systems (as standalone to replace radiologist or as a reader aid) were more accurate than a single radiologist reading a test set in the laboratory. In three studies, AI used for triage screened out 53%, 45%, and 50% of women at low risk but also 10%, 4%, and 0% of cancers detected by radiologists. Conclusions Current evidence for AI does not yet allow judgement of its accuracy in breast cancer screening programmes, and it is unclear where on the clinical pathway AI might be of most benefit. AI systems are not sufficiently specific to replace radiologist double reading in screening programmes. Promising results in smaller studies are not replicated in larger studies. Prospective studies are required to measure the effect of AI in clinical practice. Such studies will require clear stopping rules to ensure that AI does not reduce programme specificity. Study registration Protocol registered as PROSPERO CRD42020213590.

Although many researchers have investigated emotional and behavioral difficulties in individuals with Williams syndrome, few have used standardized diagnostic assessments. We examined mental health problems in 92 adults with Williams syndrome using the Psychiatric Assessment Schedule for Adults with Developmental Disabilities-PAS-ADD (Moss, Goldberg, et al., 1996). Factors potentially associated with mental health problems were also explored. The PAS-ADD identified mental health problems in 24% of the sample. The most common were anxiety (16.5%) and specific phobias (12%). Other diagnoses included depression, agoraphobia, and social phobia. No association was found between the presence of mental health problems and either individual (e.g., age, IQ, language level) or external (life events) variables.

Background:The faecal immunochemical test (FIT) is replacing the guaiac faecal occult blood test in colorectal cancer screening. Increased uptake and FIT positivity will challenge colonoscopy services. We developed a risk prediction model combining routine screening data with FIT concentration to improve the accuracy of screening referrals.Methods:Multivariate analysis used complete cases of those with a positive FIT (⩾20 μg g−1) and diagnostic outcome (n=1810; 549 cancers and advanced adenomas). Logistic regression was used to develop a risk prediction model using the FIT result and screening data: age, sex and previous screening history. The model was developed further using a feedforward neural network. Model performance was assessed by discrimination and calibration, and test accuracy was investigated using clinical sensitivity, specificity and receiver operating characteristic curves.Results:Discrimination improved from 0.628 with just FIT to 0.659 with the risk-adjusted model (P=0.01). Calibration using the Hosmer–Lemeshow test was 0.90 for the risk-adjusted model. The sensitivity improved from 30.78% to 33.15% at similar specificity (FIT threshold of 160 μg g−1). The neural network further improved model performance and test accuracy.Conclusions:Combining routinely available risk predictors with the FIT improves the clinical sensitivity of the FIT with an increase in the diagnostic yield of high-risk adenomas.

Based on current evidence, routine screening for group B streptococcus colonisation in late pregnancy should not be introduced in the UK, as the potential harms of unnecessary treatment with antibiotics may outweigh the benefits, argue Farah Seedat and colleagues

BackgroundAdverse events from intrapartum antibiotic prophylaxis (IAP) are poorly documented yet essential to inform clinical practice for neonatal group B Streptococcus (GBS) disease prevention. In this systematic review, we appraised and synthesised the evidence on the adverse events of IAP in the mother and/or her child.MethodsWe searched MEDLINE, MEDLINE In-Process & Other Non-Indexed Citations, EMBASE, Cochrane, and Science Citation Index from date of inception until October 16th 2016. Reference lists of included studies and relevant systematic reviews were hand-searched. We included primary studies in English that reported any adverse events from intrapartum antibiotics for any prophylactic purpose compared to controls. The search was not restricted to prophylaxis for GBS but excluded women with symptoms of infection or undergoing caesarean section. Two reviewers assessed the methodological quality of studies, using the Cochrane Risk of Bias tool, and the Risk of Bias Assessment Tool for Nonrandomised Studies. Results were synthesised narratively and displayed in text and tables.ResultsFrom 2364 unique records, 30 studies were included. Despite a wide range of adverse events reported in 17 observational studies and 13 randomised controlled trials (RCTs), the evidence was inconsistent and at high risk of bias. Only one RCT investigated the long-term effects of IAP reporting potentially serious outcomes such as cerebral palsy; however, it had limited applicability and unclear biological plausibility. Seven observational studies showed that IAP for maternal GBS colonisation alters the infant microbiome. However, study populations were not followed through to clinical outcomes, therefore clinical significance is unknown. There was also observational evidence for increased antimicrobial resistance, however studies were at high or unclear risk of bias.ConclusionsThe evidence base to determine the frequency of adverse events from intrapartum antibiotic prophylaxis for neonatal GBS disease prevention is limited. As RCTs may not be possible, large, better quality, and longitudinal observational studies across countries with widespread IAP could fill this gap.Trial registration CRD42016037195.Electronic supplementary materialThe online version of this article (doi:10.1186/s12884-017-1432-3) contains supplementary material, which is available to authorized users.

Background Little is known about trajectories of cognitive functioning as individuals with Williams syndrome (WS) move though adulthood. Method The present study investigated cognitive, linguistic and adaptive functioning in adults with WS aged 19-55 years, using both cross-sectional and longitudinal approaches.Results Data from the cross-sectional study (n = 92; mean age = 32 years) indicated that IQ was comparable across age groups (Full-Scale IQ mean = 56-57) with Verbal IQ being slightly higher than Performance IQ. Daily Living Skills (as measured by the Vineland Adaptive Behavior Scales) were significantly higher in older individuals. Language abilities showed no consistent age-related differences. On formal tests of language, comprehension scores were higher than expressive language scores for almost all individuals, although this pattern was not replicated on the Vineland. In the longitudinal study, a follow-up of 47 individuals (mean age = 37 years) first assessed 12 years previously, similar trajectories were found. IQ remained very stable (FSIQ = 61-62 at both time points); there were significant improvements on the Social and Daily Living domains of the Vineland and significant decreases in Maladaptive scores. There were no improvements in language over time.Conclusions The data indicate that adults with WS (at least up to the age of 50 years) show no evidence of deterioration in cognitive skills. Adaptive abilities continue to develop although language shows relatively little improvement with time.

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