Health outcomes in those who have been victims of knife crime: a protocol for a systematic review and meta-analysis

Introduction Knife-enabled crime is a UK public health issue leading to substantial impacts on society, victims and their families, as well as additional strain on the healthcare system. Despite the increase in knife-enabled crime and the overwhelming consequences, there is a lack of comprehensive studies exploring the long-term health outcomes of knife crime victims in the UK. The research gap hinders the development of more targeted secondary preventative interventions, resource allocation and public awareness campaigns. This systematic review aims to identify the long-term health outcomes of knife crime victims, therefore providing valuable knowledge for stakeholders, health practitioners and policymakers for a more effective public health response.Methods and analysis A comprehensive search strategy was developed, focusing on four key concepts: study design, knife-related offences, outcomes and risk. Databases being searched include MEDLINE, EMBASE, PsycINFO, ProQuest Criminology Collection, Web of Science Core Collection, Google Scholar and OpenGrey. Reference lists and forward citations will be inspected for further suitable literature. The study selection will involve two independent reviewers screening the studies from the search, with disagreements resolved by a third reviewer. All UK quantitative research on long-term health outcomes of knife crime victims will be included in the review. Covidence will be used to efficiently manage data. A data extraction form has been developed which will summarise key aspects of each study that will be included in the review. Methodological Index for Non-Randomised Studies quality assessment checklist will be used to assess the studies and the Newcastle-Ottawa Scale will assess the risk of bias in each study. Findings will be narratively synthesised, and if heterogeneity is sufficient, a meta-analysis will be conducted.Ethics and dissemination Ethics approval is not required for this study as no original data will be collected. The results will be disseminated through a peer-reviewed publication and conference presentation

Comorbidity phenotypes and risk of mortality in patients with osteoarthritis in the UK:a latent class analysis

BACKGROUND: Osteoarthritis (OA) is a common chronic condition but its association with other chronic conditions and mortality is largely unknown. This study aimed to use latent class analysis (LCA) of 30 comorbidities in patients with OA and matched controls without OA to identify clusters of comorbidities and examine the associations between the clusters, opioid use, and mortality. METHODS: A matched cohort analysis of patients derived from the IQVIA Medical Research Data (IMRD-UK) database between 2000 and 2019. 418,329 patients with newly diagnosed OA were matched to 243,170 patients without OA to identify comorbidity phenotypes. Further analysis investigated the effect of opioid use on mortality in individuals with OA and their matched controls. RESULTS: The median (interquartile range (IQR)) number of comorbidities was 2 (1–4) and 1 (0–3) in the OA and control groups respectively. LCA identified six comorbidity phenotypes in individuals with and without OA. Clusters with a high prevalence of comorbidities were characterised by hypertension, circulatory, and metabolic diseases. We identified a comorbidity cluster with the aforementioned comorbidities plus a high prevalence of chronic kidney disease, which was associated with twice the hazard of mortality in hand OA with a hazard ratio (HR) (95% CI) of 2.53 (2.05–3.13) compared to the hazard observed in hip/knee OA subtype 1.33 (1.24–1.42). The impact of opioid use in the first 12 months on hazards of mortality was significantly greater for weak opioids and strong opioids across all groups HR (95% CI) ranging from 1.11 (1.07–11.6) to 1.80 (1.69–1.92)). There was however no evidence of association between NSAID use and altered risk of mortality. CONCLUSION: This study identified six comorbidity clusters in individuals with OA and matched controls within this cohort. Opioid use and comorbidity clusters were differentially associated with the risk of mortality. The analyses may help shape the development of future interventions or health services that take into account the impact of these comorbidity clusters. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13075-022-02909-4