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Optimising the Analysis of vascular Prevention trials (OA-Prevention)
Proposal
1071
Title of Proposed Research
Optimising the Analysis of vascular Prevention trials (OA-Prevention)
Lead Researcher
Affiliation
University of Nottingham
Funding Source
Institutional funding.
Potential Conflicts of Interest
Potential conflicts of interest will be disclosed when the research is presented and published.
Data Sharing Agreement Date
03 August 2015
Lay Summary
Prevention trials typically count outcomes as dichotomous events (e.g. stroke – no stroke) although this is inefficient statistically and gives no indication on the severity of recurrent events. We hypothesise that vascular events may be polychotomised with ordering determined by severity, e.g. stroke categorised as fatal-severe-mild-TIA-no stroke. In a pilot study using published summary trial data, ordinal analysis of these ordered categorical outcomes was more efficient statistically than current binary approaches. We plan to further test this concept using individual patient data from vascular prevention trials, not least because many publications do not provide sufficient granular data. We will identify relevant trials and generate ordered vascular outcomes. We will then compare binary and ordinal statistical methods of analysis, both unadjusted and adjusted, then compare sample size estimates and number-needed-to-treat for these trials using published binary and ordinal methods. If these ordinal approaches are superior, future trials should consider using stroke and other vascular outcomes as ordered categories, and should be analysed using ordinal (or even linear) statistical tests. Using this approach, future trials could potentially be smaller (thereby reducing trial costs and competition for patient recruitment) and provide extra information on the effect of treatment on the severity, as well as frequency of vascular events. This information will be vital for patients, carers, healthcare professionals, and Government.
Study Data Provided
[{ "PostingID": 1741, "Title": "GSK-AR2103413", "Description": "An International Randomized Study Evaluating the Efficacy and Safety of Fondaparinux Versus Control Therapy in a Broad Range of Patients With ST Segment Elevation Acute Myocardial Infarction.
Medicine: fondaparinux sodium, Condition: Thromboembolism, Phase: 3, Clinical Study ID: AR2103413, Sponsor: GSK" },{ "PostingID": 1742, "Title": "GSK-AR3103414", "Description": "A multicenter, randomized, double-blind, parallel group trial to demonstrate the efficacy of fondaparinux sodium in association with Intermittent Pneumatic Compression (IPC) versus IPC used alone for the prevention of venous thromboembolic events in subjects at increased risk undergoing major abdomi
Medicine: fondaparinux sodium, Condition: Thromboembolism, Phase: 3, Clinical Study ID: AR3103414, Sponsor: GSK" },{ "PostingID": 1969, "Title": "BI-9.178", "Description": "JASAP: Japanese Aggrenox Stroke Prevention vs. Aspirin Programme
Medicine: dipyridamole + acetylsalicylic acid, Condition: Cerebrovascular Accident, Phase: 3 , Clinical Study ID: 9.178, Sponsor: Boehringer Ingelheim" },{ "PostingID": 1970, "Title": "BI-9.159", "Description": "PRoFESS - Prevention Regimen For Effectively Avoiding Second Strokes
Medicine: dipyridamole + acetylsalicylic acid, Condition: Stroke, Phase: 4, Clinical Study ID: 9.159, Sponsor: Boehringer Ingelheim" }]
Statistical Analysis Plan
The statistical analysis plan will be added after the research is published.
Publication Citation
The publication citation will be added after the research is published.
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