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Neurology Phase 3 Secondary Prevention NCT02239120

RE-SPECT ESUS: Complete Statistical Analysis of Dabigatran Etexilate in Secondary Stroke Prevention

An independent statistical analysis of the randomized phase 3 RE-SPECT ESUS trial evaluating dabigatran etexilate 110 or 150 mg versus acetylsalicylic acid (aspirin) 100 mg for secondary stroke prevention in patients with embolic stroke of undetermined source.

Trial period: 2014-11-27 to 2018-08-14  ·  Enrollment: 5390  ·  Status: Completed
Scope of this record

This page separates reported trial results from statistical interpretation. Numerical results and trial characteristics are restricted to the ClinicalTrials.gov record for NCT02239120. The ClinicalTrials.gov record provides the official trial registry record.

Independent analysis: 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

RE-SPECT ESUS was a randomized, double-masked, phase 3 trial in neurology and secondary stroke prevention. The trial enrolled 5390 participants and compared dabigatran etexilate 110 or 150 mg with acetylsalicylic acid (aspirin) 100 mg using time-to-event analyses based on Cox proportional-hazards models.

5390
Enrolled
Phase 3 trial
2
Arms
Dabigatran vs ASA
0.85
Recurrent Stroke HR
95% CI 0.69–1.03
1.36
Major Bleed HR
95% CI 0.94–1.97
FeatureRE-SPECT ESUS
Trial nameRE-SPECT ESUS
PhasePhase 3
Therapeutic areaNeurology
ConditionsStroke; Secondary Prevention
AllocationRandomized
Design modelSingle group, as recorded in the registry design field
MaskingDouble
Primary purposePrevention
Enrollment5390
Arms2
Lead sponsorBoehringer Ingelheim
Sponsor typeIndustry
StatusCompleted
Start2014-11-27
Primary completion2018-08-14
Results postedYes
Outcome measures posted10
Statistical analyses posted9

The registry data contain an apparent tension between the randomized allocation and two-arm structure and the recorded design-model field of SINGLE_GROUP. This page reports both fields rather than silently resolving the discrepancy. The substantive treatment comparison in the posted analyses is explicitly between dabigatran etexilate 110 or 150 mg and acetylsalicylic acid 100 mg.

2. Clinical Question

The trial addresses whether dabigatran etexilate, compared with acetylsalicylic acid (aspirin) 100 mg, differs in the rate of adjudicated recurrent stroke among patients being studied for secondary prevention after embolic stroke of undetermined source.

Population

Patients represented by the trial's brief title as having embolic stroke of undetermined source and being treated for secondary stroke prevention.

Intervention

Dabigatran etexilate 110 or 150 mg. The intervention list also records optional ASA as a comedication and placebo components.

Comparator

Acetylsalicylic acid (aspirin) 100 mg, with the intervention list also recording placebo to dabigatran and placebo to optional ASA as comedication.

Primary question

How does dabigatran etexilate compare with aspirin for the registered primary efficacy endpoint of adjudicated recurrent stroke, and what is the corresponding comparison for first major bleed as the primary safety endpoint?

3. Trial Design

The registry profile describes a randomized, double-masked, phase 3 prevention trial with 5390 enrolled participants and two treatment arms. The posted primary analyses use survival-analysis methods and hazard ratios rather than simple proportions at a fixed time point.

01
Randomize 5390 enrolled
02
Double mask Two treatment arms
03
Follow Time-to-event outcomes
04
Adjudicate Stroke and major bleed endpoints
05
Model Cox proportional hazards
ARM A

Dabigatran etexilate

  • Dabigatran etexilate 110 or 150 mg
  • Optional ASA as comedication is included in the intervention listing
  • Placebo to optional ASA as comedication is also recorded
ARM B

Acetylsalicylic acid

  • Acetylsalicylic acid (aspirin) 100 mg
  • Placebo to dabigatran etexilate is included in the intervention listing
  • Placebo to optional ASA as comedication is also recorded

The ClinicalTrials.gov record does not provide a randomization ratio, arm-specific randomized sample sizes, crossover information, or a detailed treatment schedule. Those design features are therefore not reconstructed here.

4. Endpoints

The registry identifies two primary endpoints, both represented as time-to-event outcomes in the posted statistical analyses. The primary endpoint types are recorded as count/rate, with annualised event rate expressed as % per year in the statistical-analysis records.

EndpointRegistered time frameRoleAnalysis population
Adjudicated Recurrent Stroke From randomisation until full follow up period, approximately 43 months. Primary efficacy Randomised set (RS)
First Major Bleed (Adjudicated) Between the first trial medication intake up to 6 days after the last trial medication intake, approximately 42 months. Primary safety Treated set (TS)

Adjudicated Recurrent Stroke

The registry definition states that adjudicated recurrent stroke includes ischemic, hemorrhagic, or unspecified stroke. The annualised event rate represents the average number of events per patient during a 1-year period.

First Major Bleed (Adjudicated)

Endpoint timing matters: the recurrent-stroke analysis begins at randomisation, whereas the first-major-bleed analysis begins at first trial medication intake and extends to 6 days after the last trial medication intake. These are therefore not identical risk windows or analysis populations.

5. Analysis Populations

The two primary endpoints use different analysis populations. That distinction is central to interpreting the hazard ratios because the populations define who contributes to each analysis and when observation begins.

PopulationRegistry definition / role
Randomised set (RS) Consisted of all participants who were randomised, regardless of whether they took trial medication. Used for the adjudicated recurrent-stroke primary analysis and the other efficacy analyses recorded as RS.
Treated set (TS) Consisted of all patients who were treated with at least 1 dose of trial medication. Used for the first-major-bleed primary safety analysis and the other safety analyses recorded as TS.

This difference illustrates a common principle in clinical-trial statistics: efficacy and safety questions can use different analysis populations because their estimands and observation windows are different. It also means the two primary hazard ratios should not be treated as though they were calculated from exactly the same patient set.

6. Statistical Methodology

Cox proportional-hazards model

All nine registry-reported statistical analyses use a regression method recorded as Cox, normalized to a Cox proportional-hazards model. The method category is survival analysis, and the effect measure is the hazard ratio.

Conceptual model
h(t|X) = h0(t) exp(βTX)

The model relates the hazard at time t to baseline hazard and covariates. For a treatment indicator, the exponentiated treatment coefficient is interpreted as a hazard ratio under the proportional-hazards framework.

Covariate adjustment

The posted analyses specify adjustment for three covariate categories: age (≥75 years versus <75 years), creatinine clearance (≥50 mL/min versus <50 mL/min), and stroke or transient ischaemic attack (TIA) prior to the index stroke.

CovariateRegistry categorization
Age≥75 years versus <75 years
Creatinine clearance≥50 mL/min versus <50 mL/min
Prior cerebrovascular eventStroke or TIA prior to index stroke

Hazard ratio

The hazard ratio is a relative time-to-event measure. An HR below 1 indicates a lower estimated hazard in the dabigatran group relative to aspirin under the fitted model; an HR above 1 indicates a higher estimated hazard.

Interpretation rule
HR = 1  →  equal modeled hazard
HR < 1  →  lower modeled hazard with dabigatran
HR > 1  →  higher modeled hazard with dabigatran

The hazard ratio is not an absolute event probability and does not directly state how many individual patients benefited or experienced harm.

7. Statistical Methods Explained

Why use a Cox proportional-hazards model?

The primary outcomes are time-to-event endpoints rather than simple binary outcomes at a single fixed time. Cox regression uses information about when events occur and can accommodate right-censored follow-up. It also permits adjustment for the three covariate categories specified in the registry analysis notes.

What does an HR of 0.85 mean for recurrent stroke?

An HR of 0.85 means the fitted model estimates the hazard of adjudicated recurrent stroke in the dabigatran group at 85% of the corresponding hazard in the aspirin group. Equivalently, 1 − 0.85 = 0.15, so the model-based relative hazard is approximately 15% lower. This is a statement about the estimated hazard, not a statement that 15% of patients avoided stroke.

What does an HR of 1.36 mean for major bleeding?

An HR of 1.36 means the fitted model estimates the hazard of first major bleed in the dabigatran group at 136% of the corresponding hazard in the aspirin group. The corresponding relative increase in modeled hazard is 36%. Again, this is not a 36-percentage-point increase in the probability of bleeding.

Why does the analysis adjust for covariates?

The registry explicitly identifies age, creatinine clearance, and prior stroke or TIA before the index stroke as covariates. Adjustment incorporates these prespecified variables into the regression model, allowing the reported treatment hazard ratio to account for their modeled contribution rather than relying solely on an unadjusted comparison.

Why is the confidence interval important?

A point estimate such as HR 0.85 is only one estimate of the treatment effect. Its 95% confidence interval of 0.69 to 1.03 communicates statistical uncertainty around that estimate under the model and sampling framework. A wider interval indicates less precision than a narrower interval; the interval should not be interpreted as a range containing the effects experienced by individual patients.

Why does the p-value not measure effect size?

The p-value addresses compatibility with the tested null hypothesis under the specified statistical framework. It does not measure the magnitude or clinical importance of an effect. Effect size is conveyed by the hazard ratio, while the confidence interval conveys uncertainty around that effect estimate.

Why does the proportional-hazards assumption matter?

The Cox hazard ratio is most naturally interpreted as a relative hazard under the proportional-hazards framework. If the relative hazard changes substantially over time, a single HR can compress a more complicated time-varying pattern into one number. The ClinicalTrials.gov record does not report a formal proportional-hazards diagnostic, so the reported HR should be understood within the assumptions of the model used.

8. Primary Result: Adjudicated Recurrent Stroke

The primary recurrent-stroke analysis compared dabigatran etexilate 110 or 150 mg with acetylsalicylic acid 100 mg from randomisation through the full follow-up period, approximately 43 months. The analysis population was the randomised set.

Hazard ratio for adjudicated recurrent stroke

0.85

95% CI: 0.69–1.03   ·   P = 0.1028

Cox proportional-hazards model with covariate adjustment.

Primary endpointDabigatran vs ASA95% CIP-valuePopulation
Adjudicated Recurrent Stroke HR 0.85 0.69–1.03 0.1028 Randomised set
Clinical Biostats interpretation

What the estimate means: the adjusted hazard ratio of 0.85 corresponds to an estimated hazard of recurrent stroke that is approximately 15% lower with dabigatran than with aspirin under the fitted Cox model.

What it does not mean: HR 0.85 does not mean that 15% of participants avoided recurrent stroke, nor does it represent a 15-percentage-point difference in cumulative stroke probability.

What the confidence interval says: the 95% CI of 0.69–1.03 includes 1.00. Thus, the registry-reported estimate is compatible with a range extending from a lower modeled hazard to a value slightly above equal hazard. The interval is therefore important for understanding the uncertainty surrounding the point estimate.

Why the p-value is not an effect-size measure: P = 0.1028 is a test result under the superiority framework recorded by the registry. It does not say that the effect is "10.28%" in size and should not replace the HR and confidence interval when describing the magnitude and precision of the comparison.

Analysis caution: this result is based on the randomised set and the registered follow-up window. It is also model-based, so its interpretation depends on the Cox-model framework and the proportional-hazards assumption.

9. Primary Safety Result: First Major Bleed

The primary safety endpoint was first major bleed, analyzed between first trial medication intake and 6 days after the last trial medication intake, approximately 42 months. The analysis population was the treated set.

Hazard ratio for first major bleed

1.36

95% CI: 0.94–1.97   ·   P = 0.1076

Cox proportional-hazards model with covariate adjustment.

Primary safety endpointDabigatran vs ASA95% CIP-valuePopulation
First Major Bleed (Adjudicated) HR 1.36 0.94–1.97 0.1076 Treated set
Clinical Biostats interpretation

What the estimate means: the adjusted HR of 1.36 estimates a 36% higher hazard of first major bleed with dabigatran relative to aspirin under the fitted Cox model.

What it does not mean: it does not mean that 36% of dabigatran-treated participants experienced a major bleed, or that the absolute probability of bleeding was 36 percentage points higher.

What the confidence interval says: the 95% CI of 0.94–1.97 spans 1.00. The point estimate therefore carries substantial uncertainty, with the interval compatible with a modeled hazard somewhat below equal hazard as well as a substantially higher hazard.

Why the p-value is not the effect size: P = 0.1076 is the reported superiority-test result. It does not quantify the clinical magnitude of bleeding risk. The HR and confidence interval provide the effect estimate and its precision.

Analysis caution: this safety analysis uses the treated set rather than the randomised set, and its observation window begins with first medication intake rather than randomisation. These design details should be retained when comparing the safety result with the recurrent-stroke efficacy result.

10. Secondary Endpoint Results

The registry contains seven secondary statistical analyses in the ClinicalTrials.gov record: five efficacy or mortality outcomes analyzed in the randomised set and three bleeding outcomes analyzed in the treated set. All use Cox proportional-hazards regression with the same three categories of covariate adjustment.

Secondary endpointAnalysis populationHR95% CIP-value
Adjudicated Ischaemic Stroke RS 0.84 0.68–1.03 0.0892
Adjudicated Composite of Non-fatal Stroke, Non-fatal Myocardial Infarction, or Cardiovascular Death RS 0.88 0.73–1.06 0.1911
Disabling Stroke RS 0.59 0.36–0.96 0.0354
All-cause Death RS 0.96 0.66–1.38 0.8074
Adjudicated Intracranial Hemorrhage TS 1.03 0.58–1.83 0.9064
Adjudicated Life-threatening Bleed TS 0.82 0.49–1.36 0.4352
Any Bleed (Investigator-reported) TS 1.28 1.12–1.47 0.0003

Adjudicated Ischaemic Stroke

Secondary time-to-event analysis
HR 0.84   ·   95% CI 0.68–1.03   ·   P = 0.0892

The estimate corresponds to an approximately 16% lower modeled hazard with dabigatran relative to aspirin, but the confidence interval extends through 1.00. This was analyzed in the randomised set from randomisation until the full follow-up period, up to 43 months.

Composite of Non-fatal Stroke, Non-fatal Myocardial Infarction, or Cardiovascular Death

Secondary composite endpoint
HR 0.88   ·   95% CI 0.73–1.06   ·   P = 0.1911

The model estimates a 12% lower hazard for the composite with dabigatran. The confidence interval includes 1.00, so the point estimate should not be interpreted independently of its uncertainty.

Disabling Stroke

Secondary time-to-event analysis
HR 0.59   ·   95% CI 0.36–0.96   ·   P = 0.0354

The estimated hazard of disabling stroke was 41% lower with dabigatran under the fitted model. The 95% confidence interval remains below 1.00, although its width indicates appreciable uncertainty in the magnitude of the estimate.

All-cause Death

Secondary mortality analysis
HR 0.96   ·   95% CI 0.66–1.38   ·   P = 0.8074

The point estimate is close to 1.00, corresponding to an estimated 4% lower hazard with dabigatran. The wide confidence interval indicates substantial uncertainty and includes both lower and higher modeled hazards.

Adjudicated Intracranial Hemorrhage

Secondary safety analysis
HR 1.03   ·   95% CI 0.58–1.83   ·   P = 0.9064

The point estimate is close to 1.00, but the confidence interval is wide. This means the estimate alone should not be interpreted as establishing equivalence or absence of an important difference.

Adjudicated Life-threatening Bleed

Secondary safety analysis
HR 0.82   ·   95% CI 0.49–1.36   ·   P = 0.4352

The point estimate corresponds to an approximately 18% lower modeled hazard with dabigatran, but the confidence interval includes 1.00 and extends over a relatively broad range.

Any Bleed (Investigator-reported)

Hazard ratio for any bleed

1.28

95% CI: 1.12–1.47   ·   P = 0.0003

Treated-set analysis from first trial medication intake to 6 days after the last trial medication intake, approximately 42 months.

Clinical Biostats interpretation

The any-bleed analysis estimates a 28% higher modeled hazard with dabigatran relative to aspirin. Unlike several other secondary endpoints, its 95% CI of 1.12–1.47 remains above 1.00, and the reported P-value is 0.0003.

That does not mean that 28% more patients bled, nor does it establish the absolute difference in bleeding probability. It also does not automatically determine the interpretation of the primary major-bleed endpoint: any bleed and first major bleed are different endpoints, and the former is investigator-reported whereas the latter is adjudicated.

The analysis is also based on the treated set and the medication-exposure window, so its analysis population and time origin differ from the primary recurrent-stroke analysis.

11. Safety Results

The ClinicalTrials.gov record provides serious adverse-event counts by treatment arm. These figures are reported as affected participants divided by participants at risk.

Safety measureDabigatran Etexilate 110 or 150 mgAcetylsalicylic Acid, Aspirin 100
Serious adverse events 724 / 2676 740 / 2674
Serious adverse events — affected participants
Dabigatran
724
ASA
740

The counts above are not themselves a time-to-event comparison and should not be substituted for the adjudicated major-bleed Cox analysis. The registry separately reports a treated-set hazard ratio for first major bleed and a treated-set hazard ratio for any investigator-reported bleed.

Safety interpretation: serious adverse-event counts, adjudicated major bleeding, intracranial hemorrhage, life-threatening bleeding, and any bleeding are distinct measures. A statistical conclusion about one should not automatically be transferred to another.

12. Primary and Secondary Results in Context

Viewed together, the posted analyses produce a heterogeneous set of hazard-ratio estimates rather than a single summary measure. The primary recurrent-stroke HR is 0.85, the primary major-bleed HR is 1.36, and secondary estimates range from 0.59 for disabling stroke to 1.28 for any investigator-reported bleed.

Outcome familyDirection of point estimateKey statistical feature
Adjudicated recurrent strokeHR 0.8595% CI 0.69–1.03
First major bleedHR 1.3695% CI 0.94–1.97
Ischaemic strokeHR 0.8495% CI 0.68–1.03
Composite vascular endpointHR 0.8895% CI 0.73–1.06
Disabling strokeHR 0.5995% CI 0.36–0.96
All-cause deathHR 0.9695% CI 0.66–1.38
Intracranial hemorrhageHR 1.0395% CI 0.58–1.83
Life-threatening bleedHR 0.8295% CI 0.49–1.36
Any investigator-reported bleedHR 1.2895% CI 1.12–1.47

This pattern demonstrates why clinical-trial interpretation should not be reduced to asking whether every individual p-value is below a threshold. Endpoints differ in definition, population, time origin, event frequency, adjudication process, and clinical meaning. The primary efficacy and primary safety endpoints also address different questions.

13. Confidence Intervals and the Meaning of Precision

The confidence intervals vary substantially in width. This is particularly visible for outcomes such as intracranial hemorrhage and all-cause death, where the intervals extend across a broad range around the point estimate.

Recurrent stroke

HR 0.85 with 95% CI 0.69–1.03. The interval crosses 1.00, so uncertainty around the estimate includes both lower and slightly higher modeled hazard.

Major bleed

HR 1.36 with 95% CI 0.94–1.97. The point estimate is above 1.00, but the interval includes 1.00 and extends to 1.97.

Disabling stroke

HR 0.59 with 95% CI 0.36–0.96. The interval is entirely below 1.00, although the lower and upper bounds still represent materially different effect magnitudes.

Intracranial hemorrhage

HR 1.03 with 95% CI 0.58–1.83. The point estimate is near 1.00, but the interval is wide enough that substantial differences remain compatible with the estimate.

A confidence interval should therefore be read as part of the estimate rather than as an accessory to a p-value. In a time-to-event trial, the combination of HR + confidence interval + endpoint definition + analysis population + time window is much more informative than any one number alone.

14. Time Frames and Censoring

Time-to-event analysis differs from a fixed-time proportion because not every participant necessarily contributes the same amount of observable follow-up. The Cox framework can incorporate participants whose event status is not observed for the entire nominal follow-up period by using their information up to the relevant censoring time.

Endpoint groupTime originFollow-up windowPopulation
Recurrent stroke and other RS outcomes Randomisation Full follow-up period, approximately 43 months / up to 43 months Randomised set
Major bleed and other TS bleeding outcomes First trial medication intake Approximately 42 months; up to 6 days after last trial medication intake Treated set

This distinction is statistically important. A hazard ratio is always tied to a defined time origin, event definition, censoring framework, and analysis population. Changing any of these can change the estimand being studied.

15. Superiority Testing

The statistical analyses posted on ClinicalTrials.gov are all identified as having a superiority hypothesis type. This means the statistical question is framed around whether the treatment groups differ, rather than whether one treatment can be shown to be no worse than another within a prespecified non-inferiority margin.

Superiority framework
H0: HR = 1    versus    HA: HR ≠ 1

This is a conceptual representation of a two-sided hazard-ratio comparison. The registry specifically identifies the posted analyses as superiority analyses and reports two-sided 95% confidence intervals.

The ClinicalTrials.gov record does not provide a non-inferiority margin, crossover specification, factorial design, Bayesian analysis, interim-analysis rule, or missing-data/imputation method. Those topics are therefore not incorporated into the trial's statistical description here.

16. Why the Analysis Population Matters

One of the most instructive aspects of RE-SPECT ESUS is that the primary efficacy and primary safety analyses do not use the same analysis population.

Primary efficacy
Randomised set. All randomized participants are included regardless of whether they took trial medication. Observation begins at randomisation.
Primary safety
Treated set. Participants who received at least 1 dose of trial medication are included. Observation begins at first medication intake.

The difference preserves an important distinction between randomized treatment comparison and treatment-exposure safety assessment. It also means that directly comparing the numerical HRs from the two primary endpoints as though they were estimates from a common population would be misleading.

17. Interpreting the Primary Endpoint Pair

The two primary endpoints can be viewed as addressing complementary dimensions of the treatment comparison: adjudicated recurrent stroke is the primary efficacy endpoint, while first major bleed is the primary safety endpoint.

Efficacy question

Does dabigatran change the hazard of adjudicated recurrent stroke relative to aspirin during the registered efficacy follow-up?

Safety question

Does dabigatran change the hazard of a first adjudicated major bleed during the registered medication-exposure safety window?

Different time origins

The stroke endpoint begins at randomisation, whereas the major-bleed endpoint begins at first trial medication intake.

Different populations

The recurrent-stroke analysis uses the randomised set; the major-bleed analysis uses the treated set.

This structure is statistically preferable to collapsing efficacy and safety into a single informal "net benefit" number that was not reported in the registry analyses.

18. Limitations

19. Why This Trial Matters Statistically

RE-SPECT ESUS is a useful teaching case because it demonstrates how a randomized clinical trial can generate several distinct statistical questions from the same treatment comparison. The core analysis is not simply "did more or fewer patients have a stroke?" Instead, the registry uses time-to-event methods, model-based adjustment, different analysis populations, and different observation windows for efficacy and safety.

ConceptHow it appears in RE-SPECT ESUS
RandomizationThe trial allocation is recorded as randomized, with two treatment arms.
Double maskingThe registry records double masking and placebo components among the interventions.
Time-to-event endpointsPrimary and posted secondary analyses are analyzed using Cox regression.
Cox proportional hazardsThe normalized statistical method for all registry-reported formal analyses.
Hazard ratioThe reported effect measure for the primary and secondary time-to-event analyses.
Covariate adjustmentModels adjust for age, creatinine clearance, and prior stroke/TIA before the index stroke.
Confidence intervalsAll registry-reported formal analyses report two-sided 95% confidence intervals.
Superiority testingAll registry-reported statistical analyses are classified as superiority analyses.
Different populationsRecurrent stroke uses the randomised set; bleeding analyses use the treated set.
Different time originsEfficacy begins at randomisation; safety begins at first medication intake.
Endpoint hierarchyTwo primary endpoints are followed by multiple secondary outcomes.

20. Statistical Interpretation vs Clinical Interpretation

Statistical interpretation

The primary recurrent-stroke analysis produced HR 0.85 with 95% CI 0.69–1.03 and P = 0.1028. The primary major-bleed analysis produced HR 1.36 with 95% CI 0.94–1.97 and P = 0.1076. Both were Cox analyses with covariate adjustment and superiority hypotheses.

Clinical interpretation

The numerical treatment effects must be considered endpoint by endpoint. Recurrent stroke, disabling stroke, major bleeding, intracranial hemorrhage, and any bleeding represent different clinical outcomes and have different statistical estimates in the registry.

A useful clinical-statistical reading therefore avoids treating a single HR as a complete description of the trial. The appropriate unit of interpretation is the specific endpoint and its prespecified analysis.

21. A Closer Look at the Hazard Ratio

Recurrent stroke

HR 0.85 means the estimated instantaneous hazard under the Cox model is 15% lower in the dabigatran group than in the aspirin group. The 95% CI of 0.69–1.03 shows that the precision around this estimate includes values below and slightly above 1.00.

Major bleeding

HR 1.36 means the estimated instantaneous hazard under the Cox model is 36% higher in the dabigatran group than in the aspirin group. The 95% CI of 0.94–1.97 shows that the uncertainty includes 1.00 and extends to a considerably higher hazard.

Any bleeding

HR 1.28 means the estimated instantaneous hazard of any investigator-reported bleed is 28% higher with dabigatran under the fitted model. Its 95% CI of 1.12–1.47 lies above 1.00, but this endpoint is not interchangeable with the primary adjudicated major-bleed endpoint.

These examples show why the phrase "lower risk" should be used carefully. A hazard ratio describes a modeled relative rate over time; it does not by itself supply the absolute number of events prevented or caused.

22. What the P-values Tell Us

The analyses posted on ClinicalTrials.gov report p-values ranging from 0.0003 for any investigator-reported bleed to 0.9064 for adjudicated intracranial hemorrhage. These numbers should be read alongside their corresponding effect estimates and confidence intervals.

EndpointP-valueWhy the HR and CI remain necessary
Adjudicated recurrent stroke0.1028HR 0.85 and CI 0.69–1.03 describe magnitude and uncertainty.
First major bleed0.1076HR 1.36 and CI 0.94–1.97 describe the estimated direction and precision.
Disabling stroke0.0354HR 0.59 and CI 0.36–0.96 quantify the estimated relative effect.
Any bleed0.0003HR 1.28 and CI 1.12–1.47 show the estimated magnitude and precision.
Intracranial hemorrhage0.9064HR 1.03 and CI 0.58–1.83 show that the point estimate is imprecise.

A p-value is not a probability that the null hypothesis is true, nor is it a measure of the clinical importance of the result. The confidence interval is essential for understanding what effect sizes remain compatible with the observed data under the model.

23. Related Statistical Concepts

Learn more about the methods used in this trial:

24. Related Statistical Calculators

25. Sources

Continue through the Clinical Biostats statistical pathway

Explore the statistical concepts behind randomized trials, time-to-event endpoints, Cox regression, hazard ratios, confidence intervals, and related analysis methods.

26. Record Summary

RE-SPECT ESUS provides a useful statistical case study in randomized time-to-event analysis. The registry records a phase 3, double-masked, randomized trial with 5390 enrolled participants and two arms. Its two primary endpoints use Cox proportional-hazards models with hazard ratios and two-sided 95% confidence intervals, while the primary efficacy and safety analyses use different populations and different time origins. The primary recurrent-stroke estimate was HR 0.85 (95% CI 0.69–1.03; P = 0.1028), while the primary first-major-bleed estimate was HR 1.36 (95% CI 0.94–1.97; P = 0.1076).

The secondary analyses further illustrate why endpoint-specific interpretation matters. Estimates ranged from HR 0.59 for disabling stroke to HR 1.28 for any investigator-reported bleed, with materially different confidence intervals, p-values, endpoint definitions, and analysis populations. The most informative reading therefore combines the hazard ratio, the confidence interval, the p-value, the endpoint definition, the time origin, and the analysis population rather than relying on any single statistic.

Clinical Biostats methodology: A trial-results page should not merely repeat a registry result. The goal is to reconstruct the statistical story of the trial while clearly separating reported evidence from educational interpretation and preserving the assumptions that give each estimate its meaning.