Optimising data completeness and quality in multicentre rand…

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Optimising data completeness and quality in multicentre randomised clinical trials using central data monitoring: a pragmatic approach

Article 2026 EN Gold

BACKGROUND: Randomised clinical trial data monitoring is essential for ensuring quality and adherence to protocols, often achieved through on-site methods. However, challenges like the COVID-19 pandemic have highlighted limitations. Central data monitoring offers an alternative, leveraging digital capabilities and diverse expertise. METHODS: The SafeBoosC-III trial, randomising 1,601 preterm infan…

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UN Sustainable Development Goals
1 SDGs
Authors & Affiliations
78 authors
#AuthorInstitutionsORCID
1 Markus Harboe Olsen Corresponding Copenhagen University Hospital (DK) Rigshospitalet (DK)
2 Mathias Lühr Hansen Copenhagen University Hospital (DK) Rigshospitalet (DK)
3 Janus Engstrøm Copenhagen University Hospital (DK) Rigshospitalet (DK) —
4 Sanam Safi-Rasmussen Copenhagen University Hospital (DK) Rigshospitalet (DK) —
5 Gorm O. Greisen Copenhagen University Hospital (DK) Rigshospitalet (DK)
6 Christian Gluud University of Southern Denmark (DK) Copenhagen University Hospital (DK) +1
7 the SafeBoosC-III Trial Group — —
8 Adelina Pellicer —
9 Agata Bargiel — —
10 Andrew O. Hopper —
11 Anita Truttmann — —
12 Anja Klamer — —
13 Anne Marie Heuchan —
14 Asli Memisoglu — —
15 Barbara Królak‐Olejnik —
16 Beata Rzepecka-Węglarz —
17 Bergona Loureiro — —
18 Chantal Lecart — —
19 Cornelia Franziska Hagmann —
20 Ebru Ergenekon — —
21 Eleftheria Hatzidaki —
22 Emmanuele Mastretta — —
23 Eugene Dempsey — —
24 Evangelia Papathoma —
25 Fang Luo —
26 Gabriel Dimitriou —
27 Gerhard Pichler —
28 Giovanni Vento —
29 Gitte Holst Hahn — —
30 Gunnar Naulaers —

Data: OpenAlex