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Stroke Phase 3 Prevention NCT00789542

CLOTS 3: Complete Statistical Analysis of Intermittent Pneumatic Compression in Stroke

An independent statistical review of the phase 3 randomized CLOTS 3 trial evaluating intermittent pneumatic compression versus routine care for prevention of post-stroke deep vein thrombosis.

ClinicalTrials.gov registration: NCT00789542
Scope of this record

This page provides an independent statistical analysis and educational interpretation of publicly reported results. ClinicalTrials.gov provides the official trial registry record.

1. Trial at a Glance

CLOTS 3 was a phase 3 randomized clinical trial evaluating intermittent pneumatic compression as a device-based prevention strategy for deep vein thrombosis after stroke.

2876
Enrollment
2
Study Arms
30 days
Primary Endpoint Window
Phase 3
Trial Phase
FeatureCLOTS 3
NCT IDNCT00789542
TitleA RCT to Establish the Effectiveness of Intermittent Pneumatic Compression to Prevent Post Stroke DVT
StatusCompleted
SponsorUniversity of Edinburgh
ConditionStroke
AllocationRandomized
Design modelParallel
MaskingSingle

2. Clinical Question

Population

Patients with stroke enrolled in a prevention trial.

Intervention

Intermittent pneumatic compression device.

Comparator

Routine care.

Primary question

Does intermittent pneumatic compression affect the occurrence of deep vein thrombosis after stroke?

3. Trial Design

Randomization

Patients were assigned in a randomized design.

Parallel groups

The trial used a parallel design with two intervention arms.

Primary purpose

The registry classified the study purpose as prevention.

Enrollment period

Start date: 2008-12. Primary completion date: 2013-01.

Intermittent Pneumatic Compression

Device intervention arm.

Routine Care

Other intervention comparator arm.

4. Endpoints

EndpointTime Frame
Presence of definite/probable symptomatic/asymptomatic DVT in the popliteal or femoral veins (PFV) or any symptomatic DVT in the PFV30 days of randomisation

5. Planned Analysis

The ClinicalTrials.gov record identifies the primary endpoint but does not report posted statistical analyses or outcome estimates.

For an endpoint based on occurrence of deep vein thrombosis, statistical analysis would typically compare event proportions between randomized groups using an appropriate binary outcome method. Depending on the prespecified statistical analysis plan, this could include risk differences, risk ratios, odds ratios, or regression-based approaches.

No formal statistical analyses were posted to ClinicalTrials.gov.

6. Statistical Methodology

Randomized comparison

Randomization is intended to create comparable groups at baseline so that differences in outcomes can be attributed to the assigned interventions rather than measured or unmeasured differences between participants.

Binary endpoint analysis

The primary endpoint is a dichotomous outcome: presence or absence of DVT within a defined follow-up period. Binary outcomes summarize whether an event occurred during the specified assessment window.

Risk = Number of participants with event ÷ Number of participants analyzed

This type of analysis focuses on comparing event occurrence between randomized groups.

Time frame matters

The endpoint definition specifies assessment within 30 days of randomisation. Restricting interpretation to the prespecified window prevents mixing outcomes measured at different follow-up periods.

7. Statistical Methods Explained

Why is randomization important?

Randomization reduces systematic differences between treatment groups and provides the foundation for an unbiased comparison of outcomes.

Why define the endpoint as DVT within 30 days?

A fixed assessment window creates a consistent comparison period across randomized groups.

Why use a binary outcome analysis?

The primary endpoint records whether DVT was present or absent, making methods for categorical outcomes appropriate.

What does an event rate represent?

An event rate describes the proportion of participants experiencing the outcome during the defined follow-up period.

8. Limitations

9. Why This Trial Matters Statistically

CLOTS 3 is a useful example of how prevention trials evaluate interventions using clearly defined clinical events. The statistical framework illustrates several core principles:

ConceptApplication
RandomizationCreates the basis for comparison between intervention groups.
Binary outcomesDVT presence within a specified period is measured as an event outcome.
Endpoint definitionPrecise event definitions determine what is counted as a trial outcome.
Follow-up windowThirty-day assessment defines the period of interest.

10. Sources