King's College London

Research portal

Dr Wenjuan Wang

  1. Real-world effectiveness of steroids in severe COVID-19: a retrospective cohort study

    Wang, W., Snell, L. B., Ferrari, D., Goodman, A., Price, N. M., Wolfe, C., Curcin, V., Edgeworth, J. & Wang, Y., 6 Sep 2022, (Accepted/In press) In: BMC infectious diseases.

    Research output: Contribution to journalArticlepeer-review

  2. Developing a Long COVID Phenotype for Postacute COVID-19 in a National Primary Care Sentinel Cohort: Observational Retrospective Database Analysis

    Mayor, N., Meza-Torres, B., Okusi, C., Delanerolle, G., Chapman, M., Wang, W., Anand, S., Feher, M., Macartney, J., Byford, R., Joy, M., Gatenby, P., Curcin, V., Greenhalgh, T., Delaney, B. & de Lusignan, S., 11 Aug 2022, In: JMIR Public Health and Surveillance. 8, 8, e36989.

    Research output: Contribution to journalArticlepeer-review

  3. Risk prediction of 30-day mortality after stroke using machine learning: a nationwide registry-based cohort study

    Wang, W., Rudd, A., Wang, Y., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 27 May 2022, In: BMC Neurology. 22, 1, 195.

    Research output: Contribution to journalArticlepeer-review

  4. Real-world effectiveness of steroids in severe COVID-19: longer courses associated with lower risk of death or ICU admission

    Wang, W., Snell, L. B., Ferrari, D., Goodman, A. L., Price, N. M., Wolfe, C. D., Curcin, V., Edgeworth, J. D. & Wang, Y., 28 Feb 2022, (Archives of Public Health).

    Research output: Working paper/PreprintPreprint

  5. Descriptive comparison of admission characteristics between pandemic waves and multivariable analysis of the association of the Alpha variant (B.1.1.7 lineage) of SARS-CoV-2 with disease severity in inner London

    Snell, L. B., Wang, W., Alcolea-Medina, A., Charalampous, T., Batra, R., de Jongh, L., Higgins, F., Investigators, COG-UK. HOCI., Nebbia, G., Wang, Y., Edgeworth, J. & Curcin, V., 8 Feb 2022, In: BMJ Open. 12, 2, p. e055474 e055474.

    Research output: Contribution to journalArticlepeer-review

  6. RISK PREDICTION OF 30-DAY MORTALITY AFTER STROKE USING STATISTICAL MODELS AND MACHINE LEARNING: A NATIONWIDE REGISTRY-BASED COHORT STUDY

    Wang, W., Rudd, A., Wang, Y., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 1 Sep 2021, In: European Stroke Journal. 6, Issue 1_suppl, p. 53-54 2 p., O0078/#1175.

    Research output: Contribution to journalMeeting abstractpeer-review

  7. RISK PREDICTION OF STROKE ASSOCIATED PNEUMONIA USING ADVANCED STATISTICAL AND MACHINE LEARNING TECHNIQUES: A NATIONWIDE REGISTRY-BASED COHORT STUDY

    Wang, W., Rudd, A., Wang, Y., Smith, C., Kishore, A., Curcin, V., Wolfe, C., Peek, N. & Bray, B., 1 Sep 2021, In: European Stroke Journal. 6, Issue 1_suppl, p. 103-103 1 p., O0172/#1179.

    Research output: Contribution to journalMeeting abstractpeer-review

  8. First and second SARS-CoV-2 waves in inner London: A comparison of admission characteristics and the effects of the B.1.1.7 variant

    Snell, L. B., Wang, W., Alcolea-Medina, A., Charalampous, T., Nebbia, G., Batra, R., de Jongh, L., Higgins, F., Wang, Y., Edgeworth, J. D. & Curcin, V., 24 Mar 2021, In: MedRxiv.

    Research output: Contribution to journalArticle

  9. Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study

    Carr, E., Bendayan, R., Bean, D., Stammers, M., Wang, W., Zhang, H., Searle, T., Kraljevic, Z., Shek, A., Phan, H. T. T., Muruet, W., Gupta, R. K., Shinton, A. J., Wyatt, M., Shi, T., Zhang, X., Pickles, A., Stahl, D., Zakeri, R., Noursadeghi, M. & 28 others, O'Gallagher, K., Rogers, M., Folarin, A., Karwath, A., Wickstrom, K. E., Kohn-Luque, A., Slater, L., Cardoso, V. R., Bourdeaux, C., Holten, A. R., Ball, S., McWilliams, C., Roguski, L., Borca, F., Batchelor, J., Amundsen, E. K., Wu, X., Gkoutos, G. V., Sun, J., Pinto, A., Guthrie, B., Breen, C., Douiri, A., Wu, H., Curcin, V., Teo, J. T., Shah, A. M. & Dobson, R. J. B., 21 Jan 2021, In: BMC Medicine. 19, 1, p. 23 23.

    Research output: Contribution to journalArticlepeer-review

  10. Toward a framework for the design, implementation, and reporting of methodology scoping reviews

    Predictive Healthcare Analytics Group, Nov 2020, In: Journal of Clinical Epidemiology. 127, p. 191-197 7 p.

    Research output: Contribution to journalComment/debatepeer-review

  11. A systematic review of machine learning models for predicting outcomes of stroke with structured data

    Wang, W., Kiik, M., Peek, N., Curcin, V., Marshall, I., Rudd, A., Wang, Y., Douiri, A., Wolfe, C. & Bray, B., 12 Jun 2020, In: PLOS One. 15, 6, p. e0234722 e0234722.

    Research output: Contribution to journalReview articlepeer-review

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