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417 results on '"Reitsma, J B"'

1. External validation of a lung cancer-based prediction model for two-year mortality in esophageal cancer patient cohorts

Author

Epi Methoden Team 4, Circulatory Health, JC onderzoeksprogramma Methodologie, Epi Methoden, Cancer, Epi Methoden Team 2, Berbée, M., Muijs, C. T., Voncken, F. E.M., Wee, L. S., Sosef, M., van Etten, B., van Sandick, J. W., Warmerdam, F. A.R.M., de Haan, J. J., Oldehinkel, E., van Dieren, J. M., Boersma, L., Langendijk, J. A., van der Schaaf, A., Reitsma, J. B., Schuit, E., Epi Methoden Team 4, Circulatory Health, JC onderzoeksprogramma Methodologie, Epi Methoden, Cancer, Epi Methoden Team 2, Berbée, M., Muijs, C. T., Voncken, F. E.M., Wee, L. S., Sosef, M., van Etten, B., van Sandick, J. W., Warmerdam, F. A.R.M., de Haan, J. J., Oldehinkel, E., van Dieren, J. M., Boersma, L., Langendijk, J. A., van der Schaaf, A., Reitsma, J. B., and Schuit, E.

Published
2024

2. Regularized parametric survival modeling to improve risk prediction models

Author

Epi Methoden Team 4, Epi Methoden Team 1, Circulatory Health, JC onderzoeksprogramma Methodologie, Hoogland, J., Debray, T. P.A., Crowther, M. J., Riley, R. D., IntHout, J., Reitsma, J. B., Zwinderman, A. H., Epi Methoden Team 4, Epi Methoden Team 1, Circulatory Health, JC onderzoeksprogramma Methodologie, Hoogland, J., Debray, T. P.A., Crowther, M. J., Riley, R. D., IntHout, J., Reitsma, J. B., and Zwinderman, A. H.

Published
2024

3. Kritisch beoordelen van een artikel over primair onderzoek

Author

Offringa, M., Assendelft, W. J. J., Scholten, R. J. P. M., Leeflang, M. M. G., Bossuyt, P. M. M., Groenwold, R. H. H., Reitsma, J. B., van de Laar, F. A., van Puijenbroek, E. P., Broeders, M. J. M., van der Graaf, Y., Terwee, C. B., de Vet, H. C. W., Lucassen, P. L. B. J., Reis, R., Dees, M., Scholten, R.J.P.M., editor, Offringa, M., editor, and Assendelft, W.J.J., editor

Published
2018
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6. Regularized parametric survival modeling to improve risk prediction models.

Author

Hoogland, J., Debray, T. P. A., Crowther, M. J., Riley, R. D., IntHout, J., Reitsma, J. B., and Zwinderman, A. H.

Abstract

We propose to combine the benefits of flexible parametric survival modeling and regularization to improve risk prediction modeling in the context of time‐to‐event data. Thereto, we introduce ridge, lasso, elastic net, and group lasso penalties for both log hazard and log cumulative hazard models. The log (cumulative) hazard in these models is represented by a flexible function of time that may depend on the covariates (i.e., covariate effects may be time‐varying). We show that the optimization problem for the proposed models can be formulated as a convex optimization problem and provide a user‐friendly R implementation for model fitting and penalty parameter selection based on cross‐validation. Simulation study results show the advantage of regularization in terms of increased out‐of‐sample prediction accuracy and improved calibration and discrimination of predicted survival probabilities, especially when sample size was relatively small with respect to model complexity. An applied example illustrates the proposed methods. In summary, our work provides both a foundation for and an easily accessible implementation of regularized parametric survival modeling and suggests that it improves out‐of‐sample prediction performance. [ABSTRACT FROM AUTHOR]

Published
2024
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7. Laparoscopic peritoneal lavage or sigmoidectomy for perforated diverticulitis with purulent peritonitis: a multicentre, parallel-group, randomised, open-label trial

Author

Hop, W C, Opmeer, B C, Reitsma, J B, Scholte, R A, Waltmann, E W H, Legemate, D A, Bartelsman, J F, Meijer, D W, de Brouwer, M, van Dalen, J, Durbridge, M, Geerdink, M, Ilbrink, G J, Mehmedovic, S, Middelhoek, P, Di Saverio, Salomone, Boom, M J, Consten, E C J, van der Bilt, J D W, van Olden, G D J, Stam, M A W, Verweij, M S, Busch, O R C, Buskens, C J, El-Massoudi, Y, Kluit, A B, van Rossem, C C, Schijven, M P, Tanis, P J, Unlu, C, Gerhards, M F, Karsten, T M, de Nes, L C, Rijna, H, van Wagensveld, B A, Koffeman, G I, Steller, E P, Tuynman, J B, Bruin, S C, van der Peet, D L, Blanken-Peeters, C F J M, Cense, H A, Jutte, E, Crolla, R M P H, van der Schelling, G P, van Zeeland, M, de Graaf, E J R, Groenendijk, R P R, Vermaas, M, Schouten, O, de Vries, M R, Prins, H A, Lips, D J, Bosker, R J I, van der Hoeven, J A B, Diks, J, Plaisier, P W, Kruyt, P M, Sietses, C, Stommel, M W J, Nienhuijs, S W, de Hingh, I H J T, Luyer, M D P, van Montfort, G, Ponten, E H, Smulders, J F, van Duyn, E B, Klaase, J M, Swank, D J, Ottow, R T, Stockmann, H B A C, Vermeulen, J, Vuylsteke, R J C L M, Belgers, H J, Fransen, S, von Meijenfeldt, E M, Sosef, M N, van Geloven, A A W, Hendriks, E R, ter Horst, B, Leeuwenburgh, M M N, van Ruler, O, Vogten, J M, Vriens, E J C, Westerterp, M, Eijsbouts, Q A J, Bentohami, A, Bijlsma, T S, de Korte, N, Nio, D, Govaert, M J P M, Joosten, J J A, Tollenaar, R A E M, Stassen, L P S, Wiezer, M J, Hazebroek, E J, Smits, A B, van Westreenen, H L, Lange, J F, Brandt, A, Nijboer, W N, Toorenvliet, B R, Weidema, W F, Coene, P P L O, Mannaerts, G H H, den Hartog, D, de Vos, R J, Zengerink, J F, Hoofwijk, A G M, Hulsewé, K W E, Melenhorst, J, Stoot, J H M B, Steup, W H, Huijstee, P J, Merkus, J W S, Wever, J J, Maring, J K, Heisterkamp, J, van Grevenstein, W M U, Vriens, M R, Besselink, M G H, Borel Rinkes, I H M, Witkamp, A J, Slooter, G D, Konsten, J L M, Engel, A F, Pierik, E G J M, Frakking, T G, van Geldere, D, Patijn, G A, D'Hoore, A J L, de Buck van Overstraeten, A, Miserez, M, Terrasson, I, Wolthuis, A, De Blasiis, M G, Vennix, Sandra, Musters, Gijsbert D, Mulder, Irene M, Swank, Hilko A, Consten, Esther C, Belgers, Eric H, van Geloven, Anna A, Gerhards, Michael F, Govaert, Marc J, van Grevenstein, Wilhelmina M, Hoofwijk, Anton G, Kruyt, Philip M, Nienhuijs, Simon W, Boermeester, Marja A, Vermeulen, Jefrey, van Dieren, Susan, Lange, Johan F, and Bemelman, Willem A

Published
2015
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12. Diagnostic prediction models for CT-confirmed and bacterial rhinosinusitis in primary care:individual participant data meta-analysis

Author

Takada, T. (Toshihiko), Hoogland, J. (Jeroen), Hansen, J. G. (Jens G.), Lindbaek, M. (Morten), Autio, T. (Timo), Alho, O.-P. (Olli-Pekka), Ebell, M. H. (Mark H.), Reitsma, J. B. (Johannes B.), Venekamp, R. P. (Roderick P.), Takada, T. (Toshihiko), Hoogland, J. (Jeroen), Hansen, J. G. (Jens G.), Lindbaek, M. (Morten), Autio, T. (Timo), Alho, O.-P. (Olli-Pekka), Ebell, M. H. (Mark H.), Reitsma, J. B. (Johannes B.), and Venekamp, R. P. (Roderick P.)

Abstract

Background: Antibiotics are overused in patients with acute rhinosinusitis (ARS) as it is difficult to identify those who benefit from antibiotic treatment. Aim: To develop prediction models for computed tomography (CT)-confirmed ARS and culture-confirmed acute bacterial rhinosinusitis (ABRS) in adults presenting to primary care with symptoms suggestive of ARS. Design and setting: This was a systematic review and individual participant data meta-analysis. Method: CT-confirmed ARS was defined as the presence of fluid level or total opacification in any maxillary sinuses, whereas culture-confirmed ABRS was defined by culture of fluid from antral puncture. Prediction models were derived using logistic regression modelling. Results: Among 426 patients from three studies, 140 patients (32.9%) had CT-confirmed ARS. A model consisting of seven variables: previous diagnosis of ARS, preceding upper respiratory tract infection, anosmia, double sickening, purulent nasal discharge on examination, need for antibiotics as judged by a physician, and C-reactive protein (CRP) showed an optimism-corrected c-statistic of 0.73 (95% confidence interval [CI] = 0.69 to 0.78) and a calibration slope of 0.99 (95% CI = 0.72 to 1.19). Among 225 patients from two studies, 68 patients (30.2%) had culture-confirmed ABRS. A model consisting of three variables: pain in teeth, purulent nasal discharge, and CRP showed an optimism-corrected c-statistic of 0.70 (95% CI = 0.63 to 0.77) and a calibration slope of 1.00 (95% CI = 0.66 to 1.52). Clinical utility analysis showed that both models could be useful to rule out the target condition. Conclusion: Simple prediction models for CT-confirmed ARS and culture-confirmed ABRS can be useful to safely reduce antibiotic use in adults with ARS in high-prescribing countries.

Published
2022

13. Randomized clinical trial of observational versus antibiotic treatment for a first episode of CT‐proven uncomplicated acute diverticulitis

Author

Daniels, L., Ünlü, Ç., de Korte, N., van Dieren, S., Stockmann, H. B., Vrouenraets, B. C., Consten, E. C., van der Hoeven, J. A., Eijsbouts, Q. A., Faneyte, I. F., Bemelman, W. A., Dijkgraaf, M. G., Boermeester, M. A., Glaap, C. E. M., Croonen, A., Cuesta, M. A., Kuijvenhoven, J., Buijsman, R., Den Uil, S., De Reuver, P. R., Tuynman, J. B., Van de Wall, B. J. M., Stam, M. A. W., Roumen, R. M. H., Truin, W., Wijn, R., Gerhards, M. F., Kuhlmann, K. F. D., Van der Zaag, E. S., Biemond, J. E., Klicks, R. J., Dhar, N., Cense, H. A., De Groot, G. H., Pikoulin, Y., Van Ramshorst, G. H., Hoornweg, L. L., Koet, L., Van Geloven, A. A. W., Emous, M., Claassen, A. T. P. M., Mollink, S., Sonneveld, D. J. A., Bouvé, L., Diepenhorst, G. M. P., Vles, W. J., Toorenvliet, B. R., Lange, J. F., Mannaerts, G. H. H., Grotenhuis, B. A., tot Nederveen Cappel, R. J. De Vos, Deerenberg, E. B., Depla, A. C. T. M., Bruin, S., Vos, X., Scheepers, J. J. G., Boom, M. J., Boerma, D., Van Esser, S., Pruim, J., and Reitsma, J. B.

Published
2017
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16. Рекомендации по составлению отчетов о диагностических исследованиях (STARD 2015):разъяснения и уточнения

Author

Cohen, J. F., Korevaar, D. A., Altman, D. G., Bruns, D. E., Gatsonis, C. A., Hooft, L., Irwig, L., Levine, D., Reitsma, J. B., de Vet, H. C. W., and Bossuyt, P. M. M.

Abstract

Diagnostic accuracy studies are, like other clinical studies, at risk of bias due to shortcomings in design and conduct, and the results of a diagnostic accuracy study may not apply to other patient groups and settings. Readers of study reports need to be informed about study design and conduct, in sufficient detail to judge the trustworthiness and applicability of the study findings. The STARD statement (Standards for Reporting of Diagnostic Accuracy Studies) was developed to improve the completeness and transparency of reports of diagnostic accuracy studies. STARD contains a list of essential items that can be used as a checklist, by authors, reviewers and other readers, to ensure that a report of a diagnostic accuracy study contains the necessary information. STARD was recently updated. All updated STARD materials, including the checklist, are available at http://www.equator-network.org/reporting-guidelines/stard. Here, we present the STARD 2015 explanation and elaboration document. Through commented examples of appropriate reporting, we clarify the rationale for each of the 30 items on the STARD 2015 checklist, and describe what is expected from authors in developing sufficiently informative study reports.

Published
2022

21. Laparoscopic peritoneal lavage versus sigmoidectomy for perforated diverticulitis with purulent peritonitis: three-year follow-up of the randomised LOLA trial.

Author

Hoek, Vincent T., Edomskis, Pim P., Stark, Pieter W., Lambrichts, Daniel P. V., Draaisma, Werner A., Consten, Esther C. J., Lange, Johan F., Bemelman, Willem A., The LADIES trial collaborators, Hop, W C, Opmeer, B C, Reitsma, J B, Scholte, R A, Waltmann, E W H, Legemate, A, Bartelsman, J F, Meijer, D W, de Brouwer, M, van Dalen, J, and Durbridge, M

Abstract

Background: This study aimed to compare laparoscopic lavage and sigmoidectomy as treatment for perforated diverticulitis with purulent peritonitis during a 36 month follow-up of the LOLA trial. Methods: Within the LOLA arm of the international, multicentre LADIES trial, patients with perforated diverticulitis with purulent peritonitis were randomised between laparoscopic lavage and sigmoidectomy. Outcomes were collected up to 36 months. The primary outcome of the present study was cumulative morbidity and mortality. Secondary outcomes included reoperations (including stoma reversals), stoma rates, and sigmoidectomy rates in the lavage group. Results: Long-term follow-up was recorded in 77 of the 88 originally included patients, 39 were randomised to sigmoidectomy (51%) and 38 to laparoscopic lavage (49%). After 36 months, overall cumulative morbidity (sigmoidectomy 28/39 (72%) versus lavage 32/38 (84%), p = 0·272) and mortality (sigmoidectomy 7/39 (18%) versus lavage 6/38 (16%), p = 1·000) did not differ. The number of patients who underwent a reoperation was significantly lower for lavage compared to sigmoidectomy (sigmoidectomy 27/39 (69%) versus lavage 17/38 (45%), p = 0·039). After 36 months, patients alive with stoma in situ was lower in the lavage group (proportion calculated from the Kaplan–Meier life table, sigmoidectomy 17% vs lavage 11%, log-rank p = 0·0268). Eventually, 17 of 38 (45%) patients allocated to lavage underwent sigmoidectomy. Conclusion: Long-term outcomes showed that laparoscopic lavage was associated with less patients who underwent reoperations and lower stoma rates in patients alive after 36 months compared to sigmoidectomy. No differences were found in terms of cumulative morbidity or mortality. Patient selection should be improved to reduce risk for short-term complications after which lavage could still be a valuable treatment option. [ABSTRACT FROM AUTHOR]

Published
2022
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25. Can an mhealth clinical decision-making support system improve adherence to neonatal healthcare protocols in a low-resource setting?

Author

Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Global Health team 1, Epi Methoden Team 4, JC onderzoeksprogramma Methodology, Amoakoh, Hannah Brown, Klipstein-Grobusch, Kerstin, Agyepong, Irene Akua, Amoakoh-Coleman, Mary, Kayode, Gbenga A, Reitsma, J B, Grobbee, Diederick E, Ansah, Evelyn K, Global Health, Circulatory Health, JC onderzoeksprogramma Cardiovascular Health, Global Health team 1, Epi Methoden Team 4, JC onderzoeksprogramma Methodology, Amoakoh, Hannah Brown, Klipstein-Grobusch, Kerstin, Agyepong, Irene Akua, Amoakoh-Coleman, Mary, Kayode, Gbenga A, Reitsma, J B, Grobbee, Diederick E, and Ansah, Evelyn K

Published
2020

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