Patient's perspectives of living with a precancerous condition : monoclonal gammopathy of undetermined significance (MGUS)

Funding for this study was provided by a Cancer Translational Research Group Young Investigator Grant. At the time of the study, Dr Charlene McShane was in receipt of a Cancer Research UK Population Sciences Research Fellowship.Peer reviewedPostprin

Low knowledge and awareness of monoclonal gammopathy of undetermined significance (MGUS) among general practitioners

Acknowledgements The authors would like to take this opportunity to thank the organisers of the WONCA Europe 2017 conference and the General Practitioners/Trainee’s for participating in this study. Funding At the time of writing, Dr Charlene McShane was in receipt of a Cancer Research UK Population Science Postdoctoral Research Fellowship (C51094/A18267)Peer reviewedPublisher PD

Communication strategies for rare cancers : A systematic review protocol

Funding CB is a summer student being funded by the Centre for Public Health, Queen’s University Belfast. Availability of data and materials Data was obtained from peer-reviewed publications which are available in the public domain and may be subject to copyright. The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.Peer reviewedPublisher PD

It’s all in whom you know (as well as what you know). Using network analysis and health professionals own knowledge for recruitment.

Peer reviewedPublisher PD

The JAK2V617F mutation and the role of therapeutic agents in alleviating myeloproliferative neoplasm symptom burden

Funding information: MPNVoice,Grant/AwardNumber:0001 Acknowledgements: The authors would like to express gratitude to the participants who gave their time to take part in the MOSAICC pilot study. We would also like to acknowledge the work of the charity MPN Voice (grant number 0001), formerly MPD Voice, who kindly funded the work of the MOSAICC pilot study. Finally, we would like to thank Dr Barry Crouch from the University of Aberdeen Digital Research Service, whose knowledge and assistance in coding and statistical software were fundamental to the completion of this research.Peer reviewe

Communication strategies for rare cancers: A systematic review protocol

Abstract Background Rare cancers comprise almost a quarter of all cancers in Europe, and patients generally have poorer outcomes than those suffering from more common cancers. This is attributed in part to a general lack of knowledge and awareness of rare cancers. This review aims to examine the communication strategies being used throughout the world to inform on rare cancers and to highlight any opportunities for improvement. Methods A systematic review of literature published in English prior to November 2018 will be conducted, screening articles from the electronic databases MEDLINE, PubMed, EMBASE, Web of Science, PsycINFO, CINAHL Plus and the Cochrane Database of Systematic Reviews. Grey literature databases (GreyLit, OpenGrey) will also be searched in order to screen for any unpublished works. As well as primary literature, reference lists will be examined via forward and reverse citation screening. The review will be reported using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA). Titles and abstracts will first be examined for eligibility, with remaining studies undergoing a full-text screening before being included in the final review. Individual studies will be screened for bias, and a meta-analysis performed provided there is enough data. If insufficient homogenous literature exists, a narrative summary of the literature will be produced. Discussion Despite the broad topic and width of study type that will be considered, this review hopes to provide a reflective summary of the communication strategies available for people living with and working with rare cancer. It aims to reveal any gaps in the resources available, to contribute to the long-term improvement of diagnosis and management of rare cancers. Systematic review registration PROSPERO CRD4201809978

Risk of COVID-19 death for people with a pre-existing cancer diagnosis prior to COVID-19-vaccination : A systematic review and meta-analysis

Research Funding National Health and Medical Research Council. Grant Number: APP1194679 World Health Organization Article Funding Open access publishing facilitated by The University of Sydney, as part of the Wiley - The University of Sydney agreement via the Council of Australian University Librarians.Peer reviewedPublisher PD

Risk of COVID-19 death for people with a pre-existing cancer diagnosis prior to COVID-19-vaccination:A systematic review and meta-analysis

While previous reviews found a positive association between pre-existing cancer diagnosis and COVID-19-related death, most early studies did not distinguish long-term cancer survivors from those recently diagnosed/treated, nor adjust for important confounders including age. We aimed to consolidate higher-quality evidence on risk of COVID-19-related death for people with recent/active cancer (compared to people without) in the pre-COVID-19-vaccination period. We searched the WHO COVID-19 Global Research Database (20 December 2021), and Medline and Embase (10 May 2023). We included studies adjusting for age and sex, and providing details of cancer status. Risk-of-bias assessment was based on the Newcastle-Ottawa Scale. Pooled adjusted odds or risk ratios (aORs, aRRs) or hazard ratios (aHRs) and 95% confidence intervals (95% CIs) were calculated using generic inverse-variance random-effects models. Random-effects meta-regressions were used to assess associations between effect estimates and time since cancer diagnosis/treatment. Of 23 773 unique title/abstract records, 39 studies were eligible for inclusion (2 low, 17 moderate, 20 high risk of bias). Risk of COVID-19-related death was higher for people with active or recently diagnosed/treated cancer (general population: aOR = 1.48, 95% CI: 1.36-1.61, I2 = 0; people with COVID-19: aOR = 1.58, 95% CI: 1.41-1.77, I2 = 0.58; inpatients with COVID-19: aOR = 1.66, 95% CI: 1.34-2.06, I2 = 0.98). Risks were more elevated for lung (general population: aOR = 3.4, 95% CI: 2.4-4.7) and hematological cancers (general population: aOR = 2.13, 95% CI: 1.68-2.68, I2 = 0.43), and for metastatic cancers. Meta-regression suggested risk of COVID-19-related death decreased with time since diagnosis/treatment, for example, for any/solid cancers, fitted aOR = 1.55 (95% CI: 1.37-1.75) at 1 year and aOR = 0.98 (95% CI: 0.80-1.20) at 5 years post-cancer diagnosis/treatment. In conclusion, before COVID-19-vaccination, risk of COVID-19-related death was higher for people with recent cancer, with risk depending on cancer type and time since diagnosis/treatment.</p