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PANSAID—PAracetamol and NSAID in combination: detailed statistical analysis plan for a randomised, blinded, parallel, four-group multicentre clinical trial

Overview of attention for article published in Trials, October 2017
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Title
PANSAID—PAracetamol and NSAID in combination: detailed statistical analysis plan for a randomised, blinded, parallel, four-group multicentre clinical trial
Published in
Trials, October 2017
DOI 10.1186/s13063-017-2203-1
Pubmed ID
Authors

Kasper Højgaard Thybo, Janus Christian Jakobsen, Daniel Hägi-Pedersen, Niels Anker Pedersen, Jørgen Berg Dahl, Henrik Morville Schrøder, Hans Henrik Bülow, Jan Gottfrid Bjørck, Søren Overgaard, Ole Mathiesen, Jørn Wetterslev

Abstract

Effective postoperative pain management is essential for the rehabilitation of the surgical patient. The PANSAID trial evaluates the analgesic effects and safety of the combination of paracetamol and ibuprofen. This paper describes in detail the statistical analysis plan for the primary publication to prevent outcome reporting bias and data-driven analysis results. The PANSAID trial is a multicentre, randomised, controlled, parallel, four-group clinical trial comparing the beneficial and harmful effects of different doses and combinations of paracetamol and ibuprofen in patients having total hip arthroplastic surgery. Patients, caregivers, physicians, investigators, and statisticians are blinded to the intervention. The two co-primary outcomes are 24-h consumption of morphine and proportion of patients with one or more serious adverse events within 90 days after surgery. Secondary outcomes are pain scores during mobilisation and at rest at 6 and 24 h postoperatively, and the proportion of patients with one or more adverse events within 24 h postoperatively. PANSAID will provide a large trial with low risk of bias regarding benefits and harms of the combination of paracetamol and ibuprofen used in a perioperative setting. ClinicalTrials.org identifier: NCT02571361 . Registered on 7 October 2015.

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Geographical breakdown

Country Count As %
Unknown 60 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 15%
Student > Bachelor 8 13%
Researcher 6 10%
Student > Master 4 7%
Other 3 5%
Other 4 7%
Unknown 26 43%
Readers by discipline Count As %
Medicine and Dentistry 13 22%
Nursing and Health Professions 8 13%
Pharmacology, Toxicology and Pharmaceutical Science 4 7%
Environmental Science 1 2%
Chemical Engineering 1 2%
Other 5 8%
Unknown 28 47%