4.4 Article

Detailed statistical analysis plan for a randomised controlled trial of the effects of a modified muscle sparing posterior technique (SPAIRE) in hip hemiarthroplasty for displaced intracapsular fractures on post-operative function compared to a standard lateral approach: HemiSPAIRE

Journal

TRIALS
Volume 23, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13063-022-06790-z

Keywords

Statistical analysis plan; Hip hemiarthroplasty; SPAIRE; Randomised controlled trial; Survivor average causal effect

Funding

  1. National Institute for Health Research (NIHR) Research for Patient Benefit programme [PB-PG-0817-20039]
  2. NIHR Applied Research Collaboration South West Peninsula
  3. National Institutes of Health Research (NIHR) [PB-PG-0817-20039] Funding Source: National Institutes of Health Research (NIHR)

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The HemiSPAIRE trial aims to determine whether a modified muscle sparing technique in hip hemiarthroplasty brings clinical benefits compared to the standard lateral technique in older adults with a displaced intracapsular hip fracture. This article describes the detailed statistical analysis plan for the trial, including primary and secondary outcomes, statistical analysis principles, and planned analyses of the outcomes.
Background The HemiSPAIRE trial is being conducted to determine whether a modified muscle sparing technique (SPAIRE-Save Piriformis and Internus, Repairing Externus) in hip hemiarthroplasty brings clinical benefits compared to the standard lateral technique in adults aged 60 years or older, with a displaced intracapsular hip fracture. This article describes the detailed statistical analysis plan for the trial. Methods and design HemiSPAIRE is a definitive, pragmatic, superiority, multicentre, randomised controlled trial (with internal pilot) with two parallel groups. Participants, ward staff and all research staff involved in post-operative assessments are blinded to allocation. This article describes in detail (1) the primary and secondary outcomes; (2) the statistical analysis principles, including a survivor average causal effect (SACE) method chosen specifically to address the issue of potential bias from differential survival between trial arms, which was seen from data review by the Trial Steering Committee, the participants that will be included in each analysis, the covariates that will be included in each analysis, and how the results will be presented; (3) planned main analysis of the primary outcome; (4) planned analyses of the secondary outcomes; and (5) planned additional analyses of the primary and secondary outcomes.

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