Keele Research Repository

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Davenport, CF, Rai, N, Sharma, P, Deeks, J, Berhane, S, Mallett, S, Saha, P, Solanki, R, Bayliss, S, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591 and Sundar, S (2022) Diagnostic Models Combining Clinical Information, Ultrasound and Biochemical Markers for Ovarian Cancer: Cochrane Systematic Review and Meta-Analysis. Cancers (Basel), 14 (15).

Davenport, C, Rai, N, Sharma, P, Deeks, JJ, Berhane, S, Mallett, S, Saha, P, Champaneria, R, Bayliss, SE, Snell, KIE ORCID: https://orcid.org/0000-0001-9373-6591 and Sundar, S (2022) Menopausal status, ultrasound and biomarker tests in combination for the diagnosis of ovarian cancer in symptomatic women. Cochrane Database of Systematic Reviews, 7. CD011964 - ?.

Halligan, S, Boone, D, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613, Ahmad, T, Bloom, S, Rodriguez-Justo, M, Taylor, SA and Mallett, S (2021) Prognostic biomarkers to identify patients likely to develop severe Crohn's disease: a systematic review. Health Technology Assessment, 25 (45). 1 - 66.

Parker, SG, Mallett, S, Quinn, L, Wood, CPJ, Boulton, RW, Jamshaid, S, Erotocritou, M, Gowda, S, Collier, W, Plumb, AAO, Windsor, ACJ, Archer, L ORCID: https://orcid.org/0000-0003-2504-2613 and Halligan, S (2021) Identifying predictors of ventral hernia recurrence: systematic review and meta-analysis. BJS Open, 5 (2). pp. 1-9.

Wolff, RF, Moons, KGM, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Whiting, PF, Westwood, M, Collins, GS, Reitsma, JB, Kleijnen, J, Mallett, S and PROBAST Group†, . (2019) PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies. Annals of Internal Medicine, 170 (1). 51 - 58.

Moons, K, Wolff, R, Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Whiting, P, Westwood, M, Collins, G, Reitsma, J, Kleijnen, J and Mallett, S (2019) PROBAST: a tool to assess risk of bias and applicability of prediction model studies – explanation and elaboration. Annals of Internal Medicine, 170 (1). pp. 1-33.

Sundar, S, Rick, C, Dowling, F, Au, P, Snell, K, Rai, N, Champaneria, R, Stobart, H, Neal, R, Davenport, C, Mallett, S, Sutton, A, Kehoe, S, Timmerman, D, Bourne, T, Van Calster, B, Gentry-Maharaj, A, Menon, U, Deeks, J and ROCkeTS study group, A (2016) Refining Ovarian Cancer Test accuracy Scores (ROCkeTS): protocol for a prospective longitudinal test accuracy study to validate new risk scores in women with symptoms of suspected ovarian cancer. BMJ Open, 6 (8). e010333 - ?.