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Dr Laure Wynants (L.)

Key publications
Wynants, L., Van Calster, B., Collins, G. S., Riley, R. D., Heinze, G., Schuit, E., Bonten, M. M. J., Dahly, D. L., Damen, J. A. A., Debray, T. P. A., de Jong, V. M. T., De Vos, M., Dhiman, P., Haller, M. C., Harhay, M. O., Henckaerts, L., Heus, P., Kammer, M., Kreuzberger, N., ... van Smeden, M. (2020). Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ, 369, Article m1328. https://doi.org/10.1136/bmj.m1328
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Froyman, W., Landolfo, C., De Cock, B., Wynants, L., Sladkevicius, P., Testa, A. C., Van Holsbeke, C., Domali, E., Fruscio, R., Epstein, E., Dos Santos Bernardo, M. J., Franchi, D., Kudla, M. J., Chiappa, V., Alcazar, J. L., Leone, F. P. G., Buonomo, F., Hochberg, L., Coccia, M. E., ... Timmerman, D. (2019). Risk of complications in patients with conservatively managed ovarian tumours (IOTA5): a 2-year interim analysis of a multicentre, prospective, cohort study. Lancet oncology, 20(3), 448-458. https://doi.org/10.1016/S1470-2045(18)30837-4
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Recent publications
  • Wynants, L., Broers, N., Platteel, T., Venekamp, R., Barten, D., Leers, M., Verheij, T., Stassen, P., Cals, J., & de Bont, E. (2024). Development and validation of a risk prediction model for hospital admission in COVID-19 patients presenting to primary care. European Journal of General Practice, 30(1), Article 2339488. https://doi.org/10.1080/13814788.2024.2339488
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  • Cox, E. G. M., Meijs, D. A. M., Wynants, L., Sels, J.-W. E. M., Koeze, J., Keus, F., Bos-van Dongen, B., van der Horst, I. C. C., & van Bussel, B. C. T. (2024). "The definition of predictor and outcome variables in mortality prediction models: a scoping review and quality of reporting study". Journal of Clinical Epidemiology, Article 111605. Advance online publication. https://doi.org/10.1016/j.jclinepi.2024.111605
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  • Meijs, D. A. M., Wynants, L., van Kuijk, S. M. J., Scheeren, C. I. E., Hana, A., Mehagnoul-Schipper, J., Stessel, B., Vander Laenen, M., Cox, E. G. M., Sels, J. W. E. M., Smits, L. J. M., Bickenbach, J., Mesotten, D., van der Horst, I. C. C., Marx, G., van Bussel, B. C. T., CoDaP Investigators, Heijnen, N., Mulder, M., ... Ghossein, C. (2024). Boosting the accuracy of existing models by updating and extending: using a multicenter COVID-19 ICU cohort as a proxy. Scientific Reports, 14(1), Article 26344. https://doi.org/10.1038/s41598-024-70333-6
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  • Albu, E., Van Calster, B., & Wynants, L. (2024). Letter to the editor: The use of fast approximate random forests using subsampling (rfsrc.fast) does not support the conclusion on sample sizes needed for random survival forests. Statistics in Medicine, 43(24), 4778-4780. https://doi.org/10.1002/sim.10204
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  • Burvenich, R., Bos, D. A., Lowie, L., Peeters, K., Toelen, J., Wynants, L., & Verbakel, J. Y. (2024). Effectiveness of safety netting approaches for acutely ill children: a network meta-analysis. British Journal of General Practice. Advance online publication. https://doi.org/10.3399/BJGP.2024.0141
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  • de Kok, J. W. T. M., van Bussel, B. C. T., Schnabel, R., van Herpt, T. T. W., Driessen, R. G. H., Meijs, D. A. M., Goossens, J. A., Mertens, H. J. M. M., van Kuijk, S. M. J., Wynants, L., van der Horst, I. C. C., & van Rosmalen, F. (2024). Corrigendum to Table 0; documenting the steps to go from clinical database to research dataset Journal of Clinical Epidemiology Volume 170 (2024) 111342. Journal of Clinical Epidemiology, 172, Article 111436. https://doi.org/10.1016/j.jclinepi.2024.111436
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  • de Kok, J. W. T. M., van Bussel, B. C. T., Schnabel, R., van Herpt, T. T. W., Driessen, R. G. H., Meijs, D. A. M., Goossens, J. A., Mertens, H. J. M. M., van Kuijk, S. M. J., Wynants, L., van der Horst, I. C. C., & van Rosmalen, F. (2024). Table 0; documenting the steps to go from clinical database to research dataset. Journal of Clinical Epidemiology, 170, Article 111342. https://doi.org/10.1016/j.jclinepi.2024.111342
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  • Collins, G. S., Moons, K. G. M., Dhiman, P., Riley, R. D., Beam, A. L., Van Calster, B., Ghassemi, M., Liu, X., Reitsma, J. B., van Smeden, M., Boulesteix, A. L., Camaradou, J. C., Celi, L. A., Denaxas, S., Denniston, A. K., Glocker, B., Golub, R. M., Harvey, H., Heinze, G., ... Logullo, P. (2024). TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods. BMJ, 385, Article 078378. https://doi.org/10.1136/bmj-2023-078378
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  • Heremans, R., Wynants, L., Valentin, L., Leone, F. P. G., Pascual, M. A., Fruscio, R., Testa, A. C., Buonomo, F., Guerriero, S., Epstein, E., Bourne, T., Timmerman, D., Van den Bosch, T., & IETA consortium (2024). Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA-1 multinomial regression model: validation study. Ultrasound in Obstetrics & Gynecology, 63(4), 556-563. https://doi.org/10.1002/uog.27530
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  • Barreñada, L., Ledger, A., Dhiman, P., Collins, G., Wynants, L., Verbakel, J. Y., Timmerman, D., Valentin, L., & Van Calster, B. (2024). ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies. BMJ Medicine, 3(1), Article 000817. https://doi.org/10.1136/bmjmed-2023-000817
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Other publications

Wynants, L, Riley, RD, Timmerman, D, Van Calster, B. Random-effects meta-analysis of the clinical utility of tests and prediction models. Statistics in Medicine. 2018; 37: 2034– 2052. https://doi.org/10.1002/sim.7653

Wynants, L, Collins, GS, Van Calster, B. Key steps and common pitfalls in developing and validating risk models. BJOG 2017; 124: 423– 432.  https://doi.org/10.1111/1471-0528.14170