The primary outcome measure will be level of function and mobility using the Oxford Hip Score at POD120. Secondary outcomes include De Morton Mobility Index (DEMMI), Cumulated Ambulatory Score and Numeric Pain Rating Scale (NPRS) at POD3; DEMMI, NPRS and EQ-5D-5L at POD120, complications, acute and total length of hospital stay, and mortality. Primary analysis will be on an intention-to-treat basis. Participant experiences of the impact of surgery and recovery period will be examined via up to 20 semi-structured telephone interviews.
 
  The protocol has been approved by Yorkshire and the Humber-Bradford Leeds Research Ethics Committee. Recruitment commenced in November 2019. Findings will be disseminated via research articles in peer-reviewed journals, presentations at conferences, public involvement events, patient groups and media releases.  https://www.selleckchem.com/products/bx-795.html  A summary of the trial findings will be shared with participants at the end of the study.
 
  NCT04095611.
 NCT04095611.
  Colorectal cancer (CRC) mortality is significantly higher in those with severe mental illness (SMI) compared with the general population, despite similar incidence rates, suggesting that barriers to optimal screening and cancer care may contribute to disparities in CRC mortality in those with SMI. This study aims to compare participation in Australia's National Bowel Cancer Screening Programme (NBCSP) in those with SMI and those in the general population. We will also investigate treatment pathways after diagnosis to determine whether treatment variations could explain differences in CRC mortality.
 
  We will undertake a retrospective cohort study of Australians using linked administrative data to assess differences in screening and cancer care between those with and without SMI, aged 50-74 years on or after 1 January 2006. People with SMI will be defined using antipsychotic medication prescription data. The comparison group will be people enrolled in Medicare (Australia's universal healthcare system) who have not been prescribed antipsychotic medication. Data on outcomes (NBCSP participation, follow-up colonoscopy, CRC incidence and CRC-cause and all-cause mortality) and confounders will be obtained from national-based and state-based administrative health datasets. All people in New South Wales, aged 50-74 with a new diagnosis of CRC on or after 1 January 2006, will be ascertained to examine stage at diagnosis and cancer treatment in those with and without SMI. Poisson regression will be used to calculate incidence rates and rate ratios for each outcome.
 
  Ethics approval has been obtained from the University of Queensland Human Research Ethics Committee, the Australian Institute of Health and Welfare Ethics Committee and data custodians from every Australian State/Territory. Findings will be disseminated via publications in peer-reviewed journals and presented at appropriate conferences.
 
  ACTRN12620000781943.
 ACTRN12620000781943.
  The depth and breadth of clinical data within electronic health record (EHR) systems paired with innovative machine learning methods can be leveraged to identify novel risk factors for complex diseases. However, analysing the EHR is challenging due to complexity and quality of the data. Therefore, we developed large electronic population-based cohorts with comprehensive harmonised and processed EHR data.
 
  All individuals 30 years of age or older who resided in Olmsted County, Minnesota on 1 January 2006 were identified for the discovery cohort. Algorithms to define a variety of patient characteristics were developed and validated, thus building a comprehensive risk profile for each patient. Patients are followed for incident diseases and ageing-related outcomes. Using the same methods, an independent validation cohort was assembled by identifying all individuals 30 years of age or older who resided in the largely rural 26-county area of southern Minnesota and western Wisconsin on 1 January 2013.
 
  For the -specific risk factors for complex diseases. These approaches will allow us to address several challenges with the use of EHR.
  This study aimed to explore the diagnostic significance of 
  F-fluorodeoxyglucose (
  F-FDG) positron emission tomography (PET)/CT for predicting the presence of epidermal growth factor receptor (
  ) mutations in patients with non-small cell lung cancer (NSCLC).
 
  A systematic review and meta-analysis.
 
  The PubMed, EMBASE and Cochrane library databases were searched from the earliest available date to December 2020.
 
  The review included primary studies that compared the mean maximum of standard uptake value (SUV
  ) between wild-type and mutant 
  , and evaluated the diagnostic value of 
  F-FDG PET/CT using SUV
  for prediction of 
  status in patients with NSCLC.
 
  The main analysis was to assess the sensitivity and specificity, the positive diagnostic likelihood ratio (DLR+) and DLR-, as well as the diagnostic OR (DOR) of SUV
  in prediction of 
  mutations. Each data point of the summary receiver operator characteristic (SROC) graph was derived from a separate study. A random effects model was used for st when predicting EGFR mutations in patients with NSCLC.
  Seclusion use is high in forensic mental health settings and is associated with avoidable physical and psychological harm. The use of seclusion causes significant distress and trauma for those secluded and women in these settings are particularly vulnerable. This study protocol aims to identify factors associated with the use of seclusion and the experience of seclusion for women in forensic mental health settings.
 
  This study will use a prospective mixed-methods design. Quantitative data on the frequency and duration of seclusion and potential explanatory demographic and clinical variables will be collected prospectively from consecutive medical records of women admitted to a forensic mental health service over a 2-year period. Data will be analysed using descriptive statistics and logistic regression techniques. Qualitative data will be collected from individual face-to-face semistructured interviews with women who have experienced seclusion about the reason for seclusion, whether they agreed with the reason for seclusion, their experience of the seclusion event and the seclusion environment and support provided while in seclusion using qualitative description methods.