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Type 2 Diabetes Phase 3 Completed NCT00252694

DIRECT: Complete Statistical Analysis of Candesartan in Type 2 Diabetes

A detailed statistical review of the randomized phase 3 DIRECT trial evaluating candesartan versus placebo in participants with type 2 diabetes, with a primary time-to-event analysis of a 3-step or greater increase in the Early Treatment of Diabetic Retinopathy Study (EDTRS) Severity Scale.

DIRECT · DIabetic Retinopathy Candesartan Trials  ·  2001-08 to 2008-02  ·  4,717 participants
Official registry 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

DIRECT was a randomized, parallel-group, phase 3 trial evaluating candesartan versus placebo in type 2 diabetes. The trial used quadruple masking and enrolled 4,717 participants. Its registered primary endpoint was the number of participants with a 3-step or greater increase in EDTRS Severity Scale from baseline to the end of the study.

4,717
Enrollment
Randomized trial
2
Arms
Candesartan vs placebo
0.870
Primary HR
95% CI 0.704–1.076
0.1994
P-value
Two-sided analysis
FeatureDIRECT
PhasePhase 3
ConditionType 2 Diabetes
Brief titleDIabetic Retinopathy Candesartan Trials
DesignRandomized, parallel
MaskingQuadruple
Primary purposeTreatment
Enrollment4,717
InterventionCandesartan
ComparatorPlacebo
Lead sponsorAstraZeneca
Sponsor typeIndustry
ClinicalTrials.govNCT00252694

2. Clinical Question

The primary clinical question was whether participants randomized to candesartan differed from those randomized to placebo with respect to the time to a 3-step or greater increase in the EDTRS Severity Scale during the study.

Population

Participants with type 2 diabetes enrolled in a phase 3 randomized clinical trial.

Intervention

Candesartan.

Comparator

Placebo.

Primary question

Is the time-to-event experience for a 3-step or greater increase in EDTRS Severity Scale different between candesartan and placebo?

3. Trial Design

01
Randomize4,717 participants
02
AssignCandesartan or placebo
03
FollowBaseline through 5 years
04
AssessEDTRS severity scale
05
AnalyzeGeneralized log-rank
Allocation
Randomized allocation in a parallel-group design.
Masking
Quadruple masking.
Primary purpose
Treatment.
Hypothesis type
Superiority.

Study timeline

2001-08

Trial start

The DIRECT trial began in August 2001.

5-year endpoint window

Longitudinal assessment

The primary endpoint was assessed from baseline to the end of study, defined as 5 years, with visits after a half year, one year, and thereafter once per year.

2008-02

Primary completion

The registry lists February 2008 as the primary completion date.

Study arms

ARM A

Candesartan

  • Intervention: candesartan
  • Randomized comparison group
  • Evaluated against placebo for the registered primary endpoint
ARM B

Placebo

  • Comparator: placebo
  • Randomized comparison group
  • Evaluated against candesartan for the registered primary endpoint

4. Endpoints

The registered primary endpoint concerns progression on the EDTRS Severity Scale. The registry defines the event using a 3-step or greater increase and specifies repeated follow-up through the 5-year end-of-study period.

EndpointRegistered definitionTime frame
Primary endpoint Number of participants with a 3-step or greater increase in Early Treatment of Diabetic Retinopathy Study (EDTRS) Severity Scale. From baseline to end of study, i.e. 5 years, with visits after a half year, one year and thereafter one visit per year.

What counts as a 3-step increase?

The registry defines a 3-step change as either a 1-step change in one eye and a 2-step change in the other eye, or a 3-step change in one eye only. The EDTRS scale is described as an 11-step scale ranging from 1 to 11.

Endpoint structure matters. Although the registry's primary-endpoint classification is listed as binary, the posted statistical analysis identifies the endpoint as time-to-event and uses a generalized log-rank test. This means the analysis incorporates when the qualifying change occurred rather than treating all participants with an event as equivalent regardless of timing.

5. Statistical Methodology

Intention-to-treat analysis

The posted primary analysis used the intention-to-treat population, defined in the registry as all randomized patients with any post-randomization data. Participants therefore remained associated with their randomized treatment group for the efficacy comparison.

Generalized log-rank test

The registered endpoint definition states that a generalized log-rank test was used to test the difference between treatments. The posted statistical analysis identifies the method as a log-rank analysis and places it within the survival-analysis family.

Core time-to-event comparison
H0: the time-to-event distributions are the same between treatment groups

The log-rank framework compares the observed timing of events across randomized groups while accounting for follow-up information contributed before an event or censoring.

Hazard ratio

The treatment effect was summarized using a hazard ratio. The reported estimate comparing candesartan with placebo was 0.870, with a two-sided 95% confidence interval of 0.704 to 1.076.

Interpretation of the effect measure
HR = 0.870

An HR of 0.870 corresponds to an estimated instantaneous event rate about 13.0% lower in the candesartan group relative to placebo, under the hazard-ratio interpretation. It is not a 13.0% absolute reduction in the proportion of participants experiencing the endpoint.

Superiority framework

The posted analysis identifies the hypothesis type as superiority. The inferential question is therefore whether the randomized groups differ, rather than whether candesartan satisfies a prespecified non-inferiority margin.

6. Primary Result

The registry reports one formal statistical analysis for the primary endpoint. The analysis used the intention-to-treat population and compared candesartan with placebo using a generalized log-rank approach.

Time to a 3-step or greater EDTRS increase

HR 0.870

95% CI: 0.704–1.076   ·   P = 0.1994

Analysis population: intention-to-treat population with any post-randomization data.

Primary endpointCandesartan vs placebo
Endpoint3-step or greater increase in EDTRS Severity Scale
Time frameBaseline to end of study, i.e. 5 years
Analysis populationIntention-to-treat
MethodGeneralized log-rank / log-rank
Effect measureHazard ratio
Hazard ratio0.870
95% confidence interval0.704–1.076
P-value0.1994
HypothesisSuperiority
Clinical Biostats interpretation

The estimated hazard ratio of 0.870 indicates a lower estimated instantaneous rate of the qualifying EDTRS event in the candesartan group relative to placebo, corresponding to approximately a 13.0% lower estimated hazard under the hazard-ratio interpretation.

The estimate does not mean that 13.0% fewer participants experienced a 3-step increase, nor does it describe an absolute risk difference. A hazard ratio is a relative time-to-event measure.

The 95% confidence interval of 0.704 to 1.076 describes statistical uncertainty around the estimated hazard ratio. Because the interval includes 1, the data are compatible with a range of relative effects that includes no hazard difference as well as effects in either direction.

The p-value of 0.1994 quantifies the compatibility of the observed test statistic with the null hypothesis under the specified statistical framework. It does not measure the size, clinical importance, or probability of the treatment effect.

The analysis is based on time-to-event methodology, so interpretation also depends on the handling of censoring and on the appropriateness of summarizing the treatment contrast with a hazard ratio. The registry does not report detailed censoring rules or a separate assessment of the proportional-hazards assumption.

7. Reading the Confidence Interval

The confidence interval is particularly important because the point estimate alone gives an incomplete picture of the statistical evidence.

Hazard-ratio scale
Lower bound
0.704
Estimate
0.870
Upper bound
1.076

An HR below 1 favors the candesartan direction for this endpoint, whereas an HR above 1 favors the placebo direction. The reported interval extends from below 1 to above 1, so the interval includes both a lower event hazard and a higher event hazard relative to placebo.

Why the point estimate is not enough

The point estimate of 0.870 is one estimate from the observed trial data. The confidence interval communicates how precisely that effect was estimated. An interpretation based only on the point estimate would ignore this uncertainty.

8. What the P-value Means

The primary analysis reports P = 0.1994. Under the superiority framework and the specified log-rank analysis, this is the probability, under the null model, of obtaining a test statistic at least as extreme as the observed statistic in the two-sided testing framework.

What it measures

Compatibility of the observed test statistic with the null hypothesis under the statistical model and test procedure.

What it does not measure

It is not the probability that candesartan has no effect, and it is not a measure of the magnitude or clinical importance of the observed hazard ratio.

The p-value should therefore be interpreted together with the hazard ratio and its confidence interval. Here, the HR provides the estimated direction and magnitude of the relative time-to-event effect, while the confidence interval describes its uncertainty and the p-value summarizes the corresponding hypothesis test.

9. Statistical Methods Explained

Why was a log-rank test used?

The primary endpoint is analyzed as a time-to-event outcome. A log-rank test is designed to compare survival or event-time distributions between groups while incorporating the timing of observed events and follow-up information from participants who have not yet experienced the event.

What does a hazard ratio of 0.870 mean?

It means that the estimated instantaneous rate of the qualifying EDTRS event was 0.870 times that of placebo, or approximately 13.0% lower under the hazard-ratio interpretation. It does not mean that the cumulative event probability was exactly 13.0% lower.

Why is the confidence interval important?

The 95% CI of 0.704–1.076 shows that the estimate has uncertainty extending on both sides of the null value of 1. The interval therefore provides information that the point estimate alone cannot: the observed data do not pin down a single precise relative effect.

Why does the p-value not measure effect size?

A p-value is determined by the test statistic and its reference distribution. It addresses evidence against a null hypothesis, not the magnitude of the treatment effect. Effect size is described here by the hazard ratio, while precision is described by the confidence interval.

Why was an intention-to-treat population used?

The registry defines the analysis population as all randomized patients with any post-randomization data. Maintaining randomized treatment assignment in the efficacy analysis preserves the treatment comparison created by randomization and avoids redefining treatment groups based on events that occur after randomization.

How should the EDTRS event definition be understood?

The event is not simply any change in the EDTRS scale. The registry specifies a threshold of 3 steps or greater, achieved either through a 1-step change in one eye plus a 2-step change in the other, or through a 3-step change in one eye alone. This prespecified threshold converts longitudinal changes in the severity scale into the primary event definition.

Why does the five-year follow-up matter statistically?

The registered time frame extends from baseline to the end of study, defined as 5 years, with assessments after a half year, one year, and annually thereafter. This repeated follow-up allows the primary analysis to use the timing of qualifying events rather than only whether an event was ever observed.

10. Safety Results

The registry reports serious adverse events by randomized treatment group as affected participants divided by participants at risk.

Safety measureCandesartanPlacebo
Serious adverse events301 / 949267 / 953

These figures show the reported number of participants affected by serious adverse events relative to the corresponding number at risk. They are safety counts rather than the primary efficacy endpoint and should therefore be interpreted separately from the hazard ratio for EDTRS progression.

Statistical distinction

The serious-adverse-event figures are presented as affected participants over participants at risk. The primary efficacy analysis, by contrast, is a time-to-event comparison using a generalized log-rank method. The two summaries answer different statistical questions and should not be substituted for one another.

11. What the Registry Reports — and What It Does Not

The ClinicalTrials.gov record reports one registered primary endpoint and one posted formal statistical analysis for that endpoint. It also reports four posted outcome measures overall.

Information categoryRegistry reporting
Primary endpointReported
Formal primary statistical analysisReported
Primary hazard ratioReported
95% confidence intervalReported
P-valueReported
Intention-to-treat analysis populationReported
Serious adverse events by armReported
Detailed baseline characteristicsNot reported in the ClinicalTrials.gov record
Median event timeNot reported in the ClinicalTrials.gov record
Subgroup estimatesNot reported in the ClinicalTrials.gov record
Detailed censoring or imputation proceduresNot reported in the ClinicalTrials.gov record

The absence of these additional statistical details matters when interpreting the scope of the reported result. The primary analysis can be understood from the reported endpoint, population, method, hazard ratio, confidence interval, and p-value, but a fuller reconstruction of the underlying event-time distribution would require additional information.

12. Important Statistical Limitations

13. Why This Trial Matters Statistically

DIRECT is a useful statistical case because its primary endpoint combines a clinically defined change in a severity scale with longitudinal follow-up. The analysis illustrates how a binary event definition can still be analyzed as a time-to-event outcome when the timing of the event is part of the information.

ConceptHow it appears in DIRECT
RandomizationParticipants were randomized to candesartan or placebo.
Parallel-group designThe registry identifies the design model as parallel.
Quadruple maskingThe trial is registered as quadruple masked.
Intention-to-treat analysisThe primary analysis included all randomized patients with any post-randomization data.
Time-to-event endpointThe posted analysis identifies the primary endpoint as time-to-event.
Log-rank testThe treatment comparison used a generalized log-rank approach.
Hazard ratioThe treatment effect was reported as HR 0.870.
Confidence intervalThe 95% CI was 0.704–1.076.
P-valueThe two-sided p-value was 0.1994.
Superiority testingThe posted hypothesis type was superiority.

14. Interpreting the Primary Result in Context

Relative effect

The estimated hazard ratio of 0.870 points toward a lower rate of the qualifying EDTRS event with candesartan compared with placebo. The corresponding 95% CI extends from 0.704 to 1.076.

Statistical uncertainty

Because the confidence interval includes 1, the interval includes a null relative hazard as well as estimates in both directions. The p-value of 0.1994 is consistent with that uncertainty under the specified superiority test.

Clinical endpoint meaning

The endpoint is specifically a 3-step or greater increase in EDTRS Severity Scale, defined using changes across one or both eyes. The hazard ratio therefore pertains to time to this prespecified retinal-severity event, not to all measures of diabetic retinopathy or to a general measure of diabetes control.

Absolute versus relative effects

The reported hazard ratio is a relative measure. Absolute event probabilities, risk differences, and numbers needed to treat require corresponding cumulative event information, which is not reported in the registry summary used here.

15. Primary Analysis at a Glance

ComponentDIRECT primary analysis
Endpoint3-step or greater increase in EDTRS Severity Scale
Time frameBaseline to end of study, i.e. 5 years
PopulationIntention-to-treat population with any post-randomization data
ComparisonCandesartan vs placebo
Statistical methodLog-rank; generalized log-rank
Effect measureHazard ratio
Estimate0.870
95% CI0.704–1.076
P-value0.1994
Hypothesis typeSuperiority

16. Related Tutorials

Learn more about the methods used in this trial:

17. Related Calculators

18. Sources

Continue through the Clinical Biostats statistical methods

Explore the survival-analysis, clinical-trial, and statistical-inference concepts that underlie randomized time-to-event analyses.

19. Record Summary

DIRECT was a randomized, parallel, quadruple-masked phase 3 trial of candesartan versus placebo in 4,717 participants with type 2 diabetes. Its primary endpoint was a 3-step or greater increase in the EDTRS Severity Scale from baseline to the end of a 5-year study period, with scheduled assessments after a half year, one year, and annually thereafter.

The posted primary analysis used an intention-to-treat population and a generalized log-rank approach. The reported hazard ratio was 0.870, with a two-sided 95% confidence interval of 0.704–1.076 and a p-value of 0.1994. Statistically, the estimate points toward a lower instantaneous rate of the qualifying event with candesartan, while the confidence interval indicates substantial uncertainty around that estimate and includes the null value of 1.

The most important statistical lesson is that a time-to-event endpoint should be interpreted through all three components of the reported result: the hazard ratio for relative effect, the confidence interval for precision, and the p-value for the specified hypothesis test. The endpoint definition, intention-to-treat population, follow-up schedule, and generalized log-rank method are equally important for understanding what the reported estimate actually represents.

Clinical Biostats statistical perspective: The DIRECT primary analysis illustrates how a prespecified clinical event can be evaluated longitudinally using survival-analysis methods. The hazard ratio should be interpreted as a relative time-to-event measure, not as an absolute risk difference or a percentage of participants benefiting from treatment.