Overweight/obesity is typically associated with poorer HRQoL than normal weight (BMI 18.5-24.9 kg/m(2)). This systematic review of US literature demonstrated that significant weight loss after bariatric surgery may be associated with improvements in HRQoL. In non-bariatric studies with weight loss of ≥5%, improvements in some aspects of HRQoL were noted, although the causal nature of the relationship is uncertain. Although many SF-36 and IWQOL-Lite domain scores increased, improvements were typically only significant for physical, rather than mental, HRQoL. This systematic review provides evidence supporting that weight loss may improve HRQoL in people with overweight/obesity.

Novo Nordisk paid DRG Abacus to complete the systematic review and manuscript and was involved in the study design, interpretation of data, and decision to publish the findings of the systematic review. Kroes and Webb report personal fees from Novo Nordisk during the conduct of the study and personal fees from DRG Abacus, outside of the submitted work. Webb is employed by DRG Abacus, and Kroes was employed by DRG Abacus at the time of this study. Wisniewski is an employee of Novo Nordisk, which funded the systematic review reported in this article, and also owns stocks in Novo Nordisk. Stolpe has nothing to disclose. Study concept and design were contributed by Kroes, Webb, and Wisniewski, with assistance from Stolpe. Webb took the lead in data collection, along with Kroes, and data interpretation was performed by all the authors. The manuscript was written by Kroes, Webb, and Wisniewski, with assistance from Stolpe, and revised by Kroes, Stolpe, Wisniewski, and Webb.

Psychiatric illness and sleeping disorders are important co-morbidities of human immunodeficiency virus (HIV) infection, which impact both the individual and antiretroviral therapy (ART) selection. This systematic review aimed to assess the prevalence of psychiatric illness and sleep disturbance in people living with HIV (PLHIV) in the UK. Systematic searches for publications reporting epidemiological data for psychiatric co-morbidities and sleep disturbance with HIV were conducted in Embase, MEDLINE, Cochrane Library, eight key conferences (2013-2015), and by hand-searching references of included publications. Data were extracted from publications (2000 onwards) reporting the UK prevalence of depression, anxiety, suicide ideation, or sleep disturbance as a co-morbidity of HIV infection. Comparative UK general population data were obtained from the 2007 Adult Psychiatric Morbidity in England household survey, the 2012 Health Survey for England, and 'PatientBase' (epidemiological database). Sixteen publications met the inclusion criteria. Amongst PLHIV in the UK, the prevalence of depression varied from 17-47%, compared with a reported 2-5% prevalence for the UK general population. A similar disparity was observed in the prevalence of anxiety (22-49% PLHIV versus 4-5% general population), depression or anxiety (50-58% PLHIV versus 27% general population), difficulty sleeping (61% PLHIV versus 10% population), and suicide ideation (31% PLHIV versus 1% general population). This systematic review of UK data demonstrates that rates of psychiatric illness and sleep disturbance are substantially higher amongst PLHIV than in the general population. These data underline the importance of fully considering sleep and psychiatric issues prior to selection and prescription of antiretroviral drugs, as well as the need for ongoing psychiatric and psychological support for PLHIV on ART.

Results from the present study suggest that axitinib will be an important treatment option to extend PFS in the management of advanced RCC in the second-line setting. Ongoing research will define the optimal treatment algorithm leading to a patient-focused treatment strategy.

One RCT demonstrated significant benefit in this setting in confirmed HER2-negative MBC alongside favourable safety. Treatment line terminology was imprecise. To reliably inform patient treatment decisions, quality-of-life data are needed and precise OS estimation according to underlying patient characteristics.