Schuit, Ewoud

Systematic review and critical appraisal of prediction models for diagnosis and prognosis of COVID-19 infection

Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · BMJ

COVID-19 Clinical Research StudiesStatistical Methods in Epidemiology

Cited by 3,070

Prediction models for cardiovascular disease risk in the general population: systematic review

Damen, J. A. A. G., Hooft, L., Schuit, E., Debray, T. P. A., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C. M., Chiocchia, V., Roberts, C., et al. (2016) · BMJ

Health Promotion and Cardiovascular PreventionCardiovascular Health and Risk Factors

Cited by 935

Guidelines and quality criteria for artificial intelligence-based prediction models in healthcare: a scoping review

de Hond, A. A. H., Leeuwenberg, A. M., Hooft, L., Kant, I. M. J., Nijman, S. W. J., van Os, H. J. A., Aardoom, J. J., Debray, T. P. A., Schuit, E., van Smeden, M., et al. (2022) · npj Digital Medicine

Artificial Intelligence in Healthcare and EducationArtificial Intelligence in Healthcare

Cited by 499

Prospective risk of stillbirth and neonatal complications in twin pregnancies: systematic review and meta-analysis

Cheong-See, F., Schuit, E., Arroyo-Manzano, D., Khalil, A., Barrett, J., Joseph, K. S., Asztalos, E., Hack, K., Lewi, L., Lim, A., et al. (2016) · BMJ

Assisted Reproductive Technology and Twin PregnancyPreterm Birth and Chorioamnionitis

Cited by 275

Antiphospholipid antibody profile based obstetric outcomes of primary antiphospholipid syndrome: the PREGNANTS study

Saccone, G., Berghella, V., Maruotti, G. M., Ghi, T., Rizzo, G., Simonazzi, G., Rizzo, N., Facchinetti, F., Dall’Asta, A., Visentin, S., et al. (2017) · American Journal of Obstetrics and Gynecology

Systemic Lupus Erythematosus ResearchReproductive System and Pregnancy

Cited by 205

Recurrence of hypertensive disorders of pregnancy: an individual patient data metaanalysis

van Oostwaard, M. F., Langenveld, J., Schuit, E., Papatsonis, D. N. M., Brown, M. A., Byaruhanga, R. N., Bhattacharya, S., Campbell, D. M., Chappell, L. C., Chiaffarino, F., et al. (2015) · American Journal of Obstetrics and Gynecology

Pregnancy and preeclampsia studiesNeurological Complications and Syndromes

Cited by 171

Diagnostic accuracy of covid-19 rapid antigen tests with unsupervised self-sampling in people with symptoms in the omicron period: cross sectional study

Schuit, E., Venekamp, R. P., Hooft, L., Veldhuijzen, I. K., van den Bijllaardt, W., Pas, S. D., Zwart, V. F., Lodder, E. B., Hellwich, M., Koppelman, M., et al. (2022) · BMJ

SARS-CoV-2 detection and testingCOVID-19 Clinical Research Studies

Cited by 41

How often can meta-analyses of individual-level data individualize treatment? A meta-epidemiologic study

Schuit, E., Li, A. H., & Ioannidis, J. P. A. (2019) · International Journal of Epidemiology

Meta-analysis and systematic reviewsStatistical Methods in Clinical Trials

Cited by 27