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Minimal Gain in Prognostic Certainty for Patients With Hematologic Malignancies Over 2 Weeks of Intensive Care: An Analysis to Inform Time-Limited Trials.

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Title: Minimal Gain in Prognostic Certainty for Patients With Hematologic Malignancies Over 2 Weeks of Intensive Care: An Analysis to Inform Time-Limited Trials.
Authors: Otten M; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands.; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands., van der Woude B; Department of Intensive Care Medicine, UMC Utrecht, Utrecht, The Netherlands., van Kempen BJH; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands., Dam TA; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands.; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands., Gigengack RK; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands., Müller MCA; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands., Jagesar AR; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands.; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands., Biesheuvel LA; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands.; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands., Hilders P; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands.; Quantitative Data Analytics Group, Department of Computer Science, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands., Girbes ARJ; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands., Biemond BJ; Department of Hematology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands., Kerckhoffs MC; Department of Intensive Care Medicine, UMC Utrecht, Utrecht, The Netherlands., Elbers PWG; Department of Intensive Care Medicine, Center for Critical Care Computational Intelligence, Amsterdam Medical Data Science, Amsterdam Public Health, Amsterdam institute for Immunology and Infectious Diseases, Amsterdam UMC, Vrije Universiteit, University of Amsterdam, Amsterdam, The Netherlands., de Grooth HJ; Department of Intensive Care Medicine, UMC Utrecht, Utrecht, The Netherlands.
Source: Critical care medicine [Crit Care Med] 2026 Apr 01; Vol. 54 (4), pp. 860-870. Date of Electronic Publication: 2026 Jan 07.
Publication Type: Journal Article
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 0355501 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1530-0293 (Electronic) Linking ISSN: 00903493 NLM ISO Abbreviation: Crit Care Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1530-0293
DOI:10.1097/CCM.0000000000007006