Evidence Synthesis @CRSU

• Lindson N, Butler AR, McRobbie H, Bullen C, Hajek P et al (inc. Morris T). Electronic cigarettes for smoking cessation. Cochrane Database Syst Rev. 2024;1. https://doi.org/10.1002/14651858.CD010216.pub8 

• Cerullo E, Sutton AJ, Jones HE, Wu O, Quinn TJ, Cooper NJ. MetaBayesDTA: Codeless Bayesian meta-analysis of test accuracy, with or without a gold standard. BMC Med Res Methodol. 2023;23:127. https://doi.org/10.1186/s12874-023-01910-y

• Cooper NJ, Germeni E, Freeman SC, Jaiswal N, Nevill CR, Sutton AJ et al. New Horizons in Evidence Synthesis for Older Adults. Age Ageing. 2023;52(11) https://doi.org/10.1093/ageing/afad211

• Doleman B, Mathiesen O, Sutton AJ, Cooper NJ, Lund JN et al. Non-opioid analgesics for the prevention of chronic postsurgical pain: a systematic review and network meta-analysis. Br J Anaesth. 2023;130(6):719-28. https://doi.org/10.1016/j.bja.2023.02.041

• Edwards JJ, Deenmamode AHP, Griffiths M, Arnold O, Cooper NJ et al. Exercise training and resting blood pressure: a large-scale pairwise and network meta-analysis of RCTs. Br J Sports Med. 2022. http://dx.doi.org/10.1136/bjsports-2022-106503

• Edwards JJ, Deenmamode AHP, Griffiths M, Arnold O, Cooper NJ et al. Infographic. Exercise training and resting blood pressure: a large-scale pairwise and network meta-analysis of RCTs. Br J Sports Med. 2023. http://dx.doi.org/10.1136/bjsports-2023-107513

• Freeman SC, Saeedi E, Ordóñez-Mena JM, Nevill CR, Hartmann-Boyce J et al. Data visualisation for component network meta-analysis: visualising the data structure. BMC Med Res Methodol. 2023;23:208. https://doi.org/10.1186/s12874-023-02026-z

• Nevill CR, Cooper NJ, Sutton AJ. A multifaceted graphical display, including treatment ranking, was developed to aid interpretation of network meta-analysis. J Clin Epidemiol. 2023;157:83-91. https://doi.org/10.1016/j.jclinepi.2023.02.016

• Edwards JJ, Deenmamode AHP, Griffiths M, Arnold O, Cooper NJ et al. Exercise training and resting blood pressure: a large-scale pairwise and network meta-analysis of RCTs. Br J Sports Med. 2022. http://dx.doi.org/10.1136/bjsports-2022-106503

• Cerullo E, Quinn TJ, McCleery J, Vounzoulaki E, Cooper NJ, Sutton AJ. Interrater agreement in dementia diagnosis: a systematic review and meta-analysis. Int J Geriatr Psychiatry. 2021. https://doi.org/10.1002/gps.54992 

• Quinn TJ, Burton JK, Carter B, Cooper N, Dwan K et al (inc. Field R). Following the science? Comparison of methodological and reporting quality of COVID-19 and other research from the first wave of the pandemic. BMC Med. 2021;19:46. https://doi.org/10.1186/s12916-021-01919-3 

• Patel A, Cooper N, Freeman S, Sutton A. Graphical enhancements to summary receiver operating characteristic plots to facilitate the analysis and reporting of meta-analysis of diagnostic test accuracy data. Res Synth Methods. 2020;1–11. https://doi.org/10.1002/jrsm.1439

2019

1. Owen RK, Bradbury N, Xin Y, Cooper NJ, Sutton AJ. MetaInsight: An interactive web-based tool for analyzing, interrogating, and visualizing network meta-analyses. Res Synth Methods. 2019;10:569-81. https://doi.org/10.1002/jrsm.1373 

2. Freeman SC, Kerby CR, Patel A, Cooper NJ, Quinn T, Sutton AJ. Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC medical research methodology. 2019 Dec;19:1-1. https://doi.org/10.1186/s12874-019-0724-x 

2018

1. Owen RK, Cooper NJ, Quinn TJ, Lees R, Sutton AJ. Network meta-analysis of diagnostic test accuracy studies identifies and ranks the optimal diagnostic tests and thresholds for health care policy and decision-making. J Clin Epidemiol. 2018;99:64-74. https://doi.org/10.1016/j.jclinepi.2018.03.005

2. Freeman SC, Scott NW, Powell R, Johnston M, Sutton AJ, Cooper NJ. Component network meta-analysis identifies the most effective components of psychological preparation for adults undergoing surgery under general anesthesia. J Clin Epidemiol. 2018;98:105-16. https://doi.org/10.1016/j.jclinepi.2018.02.012

2017

1. Saffioti F, Gurusamy KS, Hawkins N, Toon CD, Tsochatzis E et al. Pharmacological interventions for primary sclerosing cholangitis. Cochrane Database Syst Rev. 2017;3. https://doi.org/10.1002/14651858.CD011343.pub2 

2. Gurusamy KS, Pallari E, Hawkins N, Pereira SP, Davidson BR. Management strategies for pancreatic pseudocysts. Cochrane Database Syst Rev. 2016;4. https://doi.org/10.1002/14651858.CD011392.pub2 

2016

1. Quinn TJ, Takwoingi Y. Assessment of the utility of cognitive screening instruments. Cognitive screening instruments: a practical approach. 2017:15-34. https://doi.org/10.1007/978-3-319-44775-9_2 

• Campbell M, Thomson H, Katikireddi SV, Sowden A. Reporting of narrative synthesis in systematic reviews of public health interventions: a methodological assessment. Lancet Public Health Sci. Nov 2016; Special Issue.

• Thomson H, Santesso N, Doyle J, Lasserson T. Incorporation of narrative synthesis into Summary of Findings tables. Annual International Cochrane Colloquium, Seoul, October 2016.

• Thomson H, Mackenzie J, Doyle J. An introduction to narrative synthesis of quantitative data: a participatory workshop using a worked example from public health. Annual International Cochrane Colloquium, Seoul, October 2016.

• Thomson H, Campbell M, Katikireddi V, Sowden A. An analysis of the transparency of narrative synthesis methods in systematic reviews of quantitative data. Annual International Cochrane Colloquium, Seoul, October 2016.