← Clinical Trials
Severe Sepsis Phase 3 Randomized Controlled Trial NCT00975793

ARISE: Complete Statistical Analysis of Early Goal Directed Therapy in Severe Sepsis

An independent statistical review of the ARISE phase 3 randomized controlled trial evaluating Early Goal Directed Therapy (EGDT) in patients with severe sepsis.

Australasian Resuscitation In Sepsis Evaluation Randomised Controlled Trial
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

ARISE was a phase 3 randomized controlled trial evaluating Early Goal Directed Therapy (EGDT) as a treatment strategy for severe sepsis.

1600
Enrollment
Randomized participants
2
Arms
Parallel design
90 days
Primary endpoint
All-cause mortality
3
Phase
Phase 3 trial
FeatureARISE
ConditionSevere Sepsis
PhasePhase 3
AllocationRandomized
Design modelParallel
MaskingNone
Primary purposeTreatment
Enrollment1600
Study start2008-10
Primary completion date2014-07

2. Clinical Question

The central clinical question was whether Early Goal Directed Therapy should be used as a treatment strategy for patients with severe sepsis compared with the alternative management approach used in the randomized comparator arm.

Population

Patients with severe sepsis.

Intervention

Early Goal Directed Therapy (EGDT).

Comparator

The randomized comparator treatment approach.

Primary question

Does EGDT affect death from all causes at 90 days?

3. Trial Design

01
Randomize
1600 participants
02
Treatment
Two parallel arms
03
Follow-up
90 days
04
Outcome
All-cause death
ARM A

Early Goal Directed Therapy

Participants received the intervention of Early Goal Directed Therapy.

ARM B

Comparator

Participants were assigned to the parallel comparator group.

4. Endpoints

EndpointRegistry definitionTime frame
Primary outcome measureDeath from all causes90 days

5. Planned Analysis

The registry identifies death from all causes at 90 days as the primary outcome measure. ClinicalTrials.gov does not report posted statistical analyses or outcome results for the primary endpoint.

A mortality endpoint measured over a defined follow-up period is typically analyzed using methods appropriate for binary or time-to-event outcomes. Common approaches include comparing mortality proportions between randomized groups, estimating relative measures of effect, and using survival methods when timing of death events is incorporated.

Conceptual survival analysis
S(t) = probability of remaining alive beyond time t

When follow-up times differ among participants, survival analysis methods can incorporate censoring and estimate the probability of survival over time.

6. Statistical Methodology

Randomization

Randomization is the foundation of the treatment comparison. By assigning participants to intervention groups rather than allowing treatment choice, randomized trials aim to balance measured and unmeasured factors between groups at baseline.

Intention-to-treat analysis

For a randomized treatment comparison, the intention-to-treat principle analyzes participants according to their randomized assignment. This preserves the comparability created by randomization.

Mortality analysis

All-cause mortality is a clinically direct endpoint because the event definition does not depend on investigator attribution of cause of death.

7. Statistical Methods Explained

Why is randomization important?

Randomization reduces systematic differences between treatment groups and supports causal interpretation of comparisons.

Why measure death from all causes?

All-cause mortality avoids uncertainty caused by assigning specific causes of death.

Why does the 90-day time frame matter?

A prespecified follow-up window defines when the primary outcome is evaluated.

Why use survival methods?

Survival methods account for both whether an event occurs and when it occurs.

What does randomization not guarantee?

Randomization improves balance on average but does not make groups numerically identical in every characteristic.

Why is the analysis population important?

The population included in analysis affects interpretation of treatment comparisons.

8. Limitations

9. Why This Trial Matters Statistically

ARISE is an important example for understanding how large randomized clinical trials evaluate treatment strategies using clinically meaningful endpoints.

ConceptHow it appears in ARISE
RandomizationRandomized parallel-group phase 3 design
Clinical endpointDeath from all causes at 90 days
Treatment comparisonEarly Goal Directed Therapy versus comparator
Sample size1600 participants
Follow-up90-day primary outcome assessment

10. Sources

Continue through the Clinical Biostats knowledge graph

Explore additional clinical-trial methods, statistical concepts, and analysis workflows.

11. Record Summary

ARISE provides a framework for understanding randomized evaluation of treatment strategies in severe sepsis. The trial design includes random allocation, a phase 3 parallel comparison, and a prespecified 90-day all-cause mortality endpoint.