Dirk Das
14 Papers
51 Citations
Dirk Das is an academic researcher. The author has contributed to research in topics: Medicine & Randomized controlled trial. The author has an hindex of 7, co-authored 11 publications.
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Papers
The Effect of an App for Day-to-Day Postoperative Care Education on Patients With Total Knee Replacement: Randomized Controlled Trial
Thomas Timmers,Loes Janssen,Walter van der Weegen,Dirk Das,Willem-Jan Marijnissen,Gerjon Hannink,Babette C. van der Zwaard,Adriaan Plat,Bregje J.W. Thomassen,Jan-Willem A. Swen,Rudolf B Kool,Frederik Okke Lambers Heerspink +11 more
TL;DR: In the four weeks following TKR, the active and day-to-day education of patients via the app significantly decreased their level of pain and improved their physical functioning, quality of life, ability to perform physiotherapy exercises and activities of daily self-care, satisfaction with information, perceived involvement by the hospital, and health care consumption compared to standard patient education.
Manipulation under anesthesia following total knee arthroplasty: a comprehensive review of literature.
TL;DR: Future comparative trials should be conducted to elude more clear indications forMUA, to give clinical guidance on correct timing for MUA and on how to rehabilitate patients afterward.
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The rate of dislocation is not increased when minimal precautions are used after total hip arthroplasty using the posterolateral approach: a prospective, comparative safety study.
TL;DR: It appears safe to manage patients in the immediate post-operative period with minimal precautions to protect against dislocation, and experienced orthopaedic surgeons using the posterolateral approach for THA should not fear an increased dislocation rate if they manage their patients with a minimal precautions protocol.
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Machine learning algorithms trained with pre-hospital acquired history-taking data can accurately differentiate diagnoses in patients with hip complaints.
Michiel Siebelt,Dirk Das,Amber Van Den Moosdijk,Tristan Warren,Peter van der Putten,Walter van der Weegen +5 more
TL;DR: In this article, a machine learning technique is used to analyze the outcome of digital questionnaires, which is a form of artificial intelligence able to analyze big data, in order to recognize diffe...
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Three Out of Ten Working Patients Expect No Clinical Improvement of Their Ability to Perform Work-Related Knee-Demanding Activities After Total Knee Arthroplasty: A Multicenter Study
Yvonne van Zaanen,Rutger C. I. van Geenen,Thijs M. J. Pahlplatz,Arthur J. Kievit,Marco J.M. Hoozemans,Eric W. P. Bakker,Leendert Blankevoort,Matthias U. Schafroth,Daniel Haverkamp,Ton M. J. S. Vervest,Dirk Das,Walter van der Weegen,Vanessa A. Scholtes,Monique H. W. Frings-Dresen,P. Paul F. M. Kuijer +14 more
TL;DR: Most patients have high expectations, especially regarding activities involving deep knee flexion, and three out of ten patients expect no clinical improvement or even a worse ability to perform work-related knee-demanding activities 6 months postoperatively compared to their preoperative status.
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