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Thrombolysis Phase 3 Randomized NCT03785678

TIMELESS: Complete Statistical Analysis of Tenecteplase in Stroke Patients

An independent statistical analysis of the randomized phase 3 TIMELESS trial evaluating tenecteplase versus placebo in stroke patients between 4.5 and 24 hours, with the Day 90 ordinal modified Rankin Scale (mRS) score as the registered primary endpoint.

Trial period: March 2, 2019  ·  Primary completion: February 28, 2023  ·  Enrollment: 458
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

TIMELESS was a randomized, parallel, quadruple-masked phase 3 trial evaluating tenecteplase versus placebo in stroke patients between 4.5 and 24 hours. The registry identifies the ordinal modified Rankin Scale (mRS) score at Day 90 as the single registered primary endpoint.

458
Enrollment
Randomized trial
2
Arms
Tenecteplase vs placebo
3
Phase
Phase 3
90
Primary time point
Day 90
FeatureTIMELESS
Trial nameTIMELESS
ClinicalTrials.gov identifierNCT03785678
Brief titleTenecteplase in Stroke Patients Between 4.5 and 24 Hours
Therapeutic areaNeurology
ConditionThrombolysis
PhasePhase 3
StatusCompleted
AllocationRandomized
Design modelParallel
MaskingQuadruple
Primary purposeTreatment
Enrollment458.0
Arms2
InterventionsTenecteplase (biological); Placebo (other)
Lead sponsorGenentech, Inc.
Sponsor typeIndustry

2. Clinical Question

The clinical question can be expressed directly from the registered population, interventions, and primary endpoint: in stroke patients between 4.5 and 24 hours, what is the difference between tenecteplase and placebo in the ordinal modified Rankin Scale score at Day 90?

Population

Stroke patients between 4.5 and 24 hours, according to the trial's brief title.

Intervention

Tenecteplase, classified in the registry as a biological intervention.

Comparator

Placebo, classified in the registry as an other intervention.

Primary question

How do the randomized groups differ in ordinal mRS score at Day 90?

Registry scope matters. The ClinicalTrials.gov record identifies the condition as "THROMBOLYSIS" and provide the brief title "Tenecteplase in Stroke Patients Between 4.5 and 24 Hours." The ClinicalTrials.gov record does not provide additional eligibility criteria or a more detailed stroke-population description, so this page does not add them.

3. Trial Design

01
Enroll458.0 patients
02
Randomize2 parallel arms
03
MaskQuadruple masking
04
TreatTenecteplase or placebo
05
AssessOrdinal mRS at Day 90
Allocation
Randomized
Patients were allocated to the study arms using randomization.
Design model
Parallel
The registry identifies a parallel-group design with 2 arms.
Masking
Quadruple
The ClinicalTrials.gov record identifies the trial as quadruple-masked.
Primary purpose
Treatment
The registered primary purpose is treatment.
ARM 1

Tenecteplase

  • Intervention type: biological
  • Randomized comparison arm
ARM 2

Placebo

  • Intervention type: other
  • Randomized comparison arm

Trial timeline

March 2, 2019

Trial start

The registry lists March 2, 2019 as the study start date.

February 28, 2023

Primary completion

The registry lists February 28, 2023 as the primary completion date.

Completed

Study status

The ClinicalTrials.gov record identifies the study status as completed.

4. Primary Endpoint

EndpointTime frameRegistry definition
Ordinal Modified Rankin Scale (mRS) Score at Day 90 Day 90 the modified Rankin score (mRS) is a 6-point scale commonly used to assess disability due to stroke, with higher values indicating worse outcomes. 0 = No symptoms 1. = No significant disability 2. = Slight disability 3. = Moderate disability 4. = Moderately severe disability 5. = Severe disability 6. = Death

The endpoint is ordinal rather than simply binary. The possible mRS values progress from 0 through 6, with higher values indicating worse outcomes. That structure contains more information than a single yes/no endpoint because it preserves the ordering of disability categories.

Ordinal endpoint structure
0 < 1 < 2 < 3 < 4 < 5 < 6

The numerical values are ordered categories. The difference between adjacent scores should not automatically be treated as an equal quantitative distance.

5. Results

What the registry currently reports: The ClinicalTrials.gov record states that results have been posted and that 11 outcome measures are posted. However, no formal statistical analyses were posted. Accordingly, this page does not report a treatment-effect estimate, confidence interval, or p-value for the primary endpoint.

The available trial data identify the registered primary endpoint as ordinal mRS at Day 90, but they do not provide a formal between-group statistical analysis for that endpoint. No hazard ratio, odds ratio, confidence interval, p-value, median, event count, or category-specific mRS result is reported in the ClinicalTrials.gov record used for this page.

What would normally be analysed?

For a randomized trial with an ordinal mRS endpoint, an appropriate primary analysis can use an ordinal regression framework that respects the ordering of the mRS categories. A commonly used approach is a proportional-odds ordinal logistic model. Depending on the prespecified statistical analysis plan, the treatment effect can be summarized as an odds ratio for being at or below a given level of disability across the ordered categories.

Conceptual proportional-odds model
logit[P(Y ≤ k)] = αk + β·Treatment

Here, k represents an mRS threshold and the model uses the ordered nature of the outcome. The proportional-odds assumption means that the treatment coefficient is shared across the cumulative thresholds.

This is a description of a typical statistical approach for an ordinal endpoint, not a claim about the exact analysis used in TIMELESS. The ClinicalTrials.gov record does not report the formal statistical-analysis method.

6. Safety Results

The ClinicalTrials.gov record reports serious adverse events by randomized arm using affected patients over the corresponding at-risk denominator.

Safety measureTenecteplasePlacebo
Serious adverse events, affected / at risk91/218102/214

The denominators posted on ClinicalTrials.gov for the serious-adverse-event measure are 218 and 214, respectively. They are not the same as the overall enrollment of 458.0, so the safety figures should be interpreted using the reported affected/at-risk denominators rather than treating them as percentages of total enrollment.

Tenecteplase

Serious adverse events were reported in 91 of 218 patients at risk.

Placebo

Serious adverse events were reported in 102 of 214 patients at risk.

Safety interpretation: The ClinicalTrials.gov record establishes the reported serious-adverse-event counts and denominators, but do not provide a formal statistical comparison. No p-value, confidence interval, risk ratio, odds ratio, or other comparative safety estimate is included here.

7. Statistical Methodology

Randomization

Randomization is central to the design because the treatment assignment is determined before the outcome is observed. In a parallel randomized trial, the randomized groups provide the basis for comparing outcomes while reducing systematic allocation differences that could otherwise confound treatment comparisons.

Ordinal outcome analysis

The Day 90 mRS is an ordered categorical endpoint. Its defining feature is that the categories have a meaningful order, but the numerical labels 0 through 6 should not automatically be interpreted as measurements on an interval scale.

Why the scale is ordinal
mRS 0 < mRS 1 < mRS 2 < mRS 3 < mRS 4 < mRS 5 < mRS 6

The ordering is meaningful, while the numerical spacing between categories does not necessarily represent equal changes in disability.

Proportional-odds model

A proportional-odds model is one standard framework for analysing an ordinal endpoint such as mRS. Rather than collapsing the endpoint into one threshold, it models the cumulative probability of being at or below each possible threshold.

If a treatment odds ratio were reported from such a model, interpretation would depend on the direction used for the cumulative outcome. The precise definition of the reported effect measure therefore matters: an odds ratio cannot be interpreted correctly without knowing which outcome category is being modelled and which group is in the numerator.

Confidence intervals

A confidence interval around an ordinal treatment-effect estimate would quantify statistical uncertainty under the specified model and sampling framework. It would not describe the range of individual patient responses and would not establish that every threshold of the mRS has the same treatment effect.

Missing outcome data

Ordinal outcomes measured at a fixed time point require careful handling of patients whose Day 90 assessment is unavailable. The ClinicalTrials.gov record does not describe the missing-data strategy or any imputation method used in TIMELESS. Consequently, no specific imputation method is attributed to this trial.

Analysis population

The ClinicalTrials.gov record identifies randomized allocation but do not specify the statistical analysis population used for the primary endpoint. An analysis based on randomized assignment would preserve the principal advantages of the randomized design, but the exact analysis population and any exclusions should be taken from the prespecified statistical analysis plan before making that claim about TIMELESS.

8. Statistical Methods Explained

Why is mRS analysed as an ordinal endpoint?

The mRS categories have a natural order from no symptoms through increasingly severe disability and death. Treating the endpoint as ordinal allows the analysis to use that ordering rather than reducing the outcome to a single arbitrary cutoff.

What does an ordinal regression model estimate?

An ordinal regression model evaluates the relationship between treatment assignment and the probability distribution across ordered categories. In a proportional-odds formulation, the same treatment coefficient is used across cumulative mRS thresholds, subject to the proportional-odds assumption.

What is the proportional-odds assumption?

The proportional-odds assumption states that the treatment effect on the cumulative odds is constant across the outcome thresholds represented in the model. If that assumption does not hold, a single odds ratio may not adequately describe the treatment effect across the full mRS distribution.

Why is a binary analysis potentially less informative?

A binary analysis requires selecting a cutoff, such as defining a favorable outcome below a particular mRS value. That can be clinically useful, but it discards information from the other categories. An ordinal analysis can retain more of the observed disability distribution.

Why does randomization matter for the analysis?

Randomization establishes treatment assignment independently of patients' observed and unobserved characteristics in expectation. This makes the between-group outcome comparison the principal basis for estimating the treatment effect, subject to the trial's conduct and analysis assumptions.

Why should the registry result and the statistical interpretation be separated?

The ClinicalTrials.gov record identifies the endpoint and report that results are posted, but they do not provide a formal statistical-analysis record. A statistically appropriate method can therefore be explained educationally without presenting an unreported estimate as though it were an observed TIMELESS result.

9. Blinding and Randomization

TIMELESS is described in the ClinicalTrials.gov record as randomized and quadruple-masked. These design features are particularly relevant when interpreting an outcome such as the mRS, which involves assessment of functional status after stroke.

Randomization

Randomization provides the design framework for comparing the tenecteplase and placebo groups without assigning treatment according to observed prognosis.

Quadruple masking

The registry identifies the study as quadruple-masked. Masking can reduce the influence of treatment knowledge on trial conduct and outcome assessment.

The ClinicalTrials.gov record does not identify the four parties covered by the quadruple-masking designation. This page therefore does not assign specific roles to the masked groups.

10. Endpoint Interpretation

What the primary endpoint measures

The Day 90 mRS measures functional disability on an ordered scale. Lower values represent better outcomes under the registry definition, while a score of 6 represents death.

What the primary endpoint does not measure

The mRS is not a direct measurement of thrombolytic activity, infarct volume, treatment exposure, or mortality alone. It is a functional outcome that combines disability states into an ordered clinical scale.

Why the full distribution matters

Two treatment groups can have the same proportion below one chosen mRS threshold while having different distributions across the remaining categories. Ordinal analysis is designed to preserve information across those ordered categories.

11. Important Statistical Interpretation Issues

12. What the Available Results Can and Cannot Establish

QuestionSupported by the ClinicalTrials.gov record?Reason
Was TIMELESS randomized?Yesthe ClinicalTrials.gov record specifies randomized allocation.
Was the design parallel?YesThe registry design model is parallel.
Was the study quadruple-masked?YesThe registry masking field specifies quadruple masking.
What was the enrollment?Yesthe ClinicalTrials.gov record reports 458.0.
What was the registered primary endpoint?YesOrdinal mRS Score at Day 90.
What were the primary-endpoint effect estimates?NoNo statistical analyses are reported.
What were the primary-endpoint confidence intervals?NoNo statistical analyses are reported.
What were the primary-endpoint p-values?NoNo statistical analyses are reported.
Were serious adverse events reported?Yes91/218 for tenecteplase and 102/214 for placebo.
Was a formal comparative safety analysis reported?NoNo statistical analysis is included in the ClinicalTrials.gov record.

13. Why This Trial Matters Statistically

TIMELESS is useful as a teaching case because it illustrates a common situation in clinical-trial statistics: the scientific question and endpoint can be clearly defined even when a registry extract does not provide the formal statistical comparison needed to quantify the treatment effect.

ConceptHow it appears in TIMELESS
RandomizationThe trial uses randomized allocation.
Parallel-group designThe registry identifies a parallel design with 2 arms.
BlindingThe trial is described as quadruple-masked.
Ordinal outcomeThe primary endpoint is ordinal mRS at Day 90.
Functional outcomeThe mRS is used to assess disability after stroke.
Ordinal regressionA proportional-odds model is a standard framework that can be considered for an ordered endpoint of this type.
Missing dataFixed-time functional assessment makes incomplete Day 90 measurements analytically important.
Safety analysisSerious adverse events are reported by arm using affected/at-risk counts.
Registry interpretationResults are posted, but the registry-reported statistical-analysis field contains no formal analyses.

14. Limitations

15. Clinical Interpretation vs Statistical Interpretation

Clinical interpretation

The registered clinical outcome is functional status at Day 90, measured using the modified Rankin Scale. Lower mRS values correspond to better functional outcomes under the registry definition.

Statistical interpretation

The endpoint is ordinal and therefore calls for an analysis that respects ordering. The ClinicalTrials.gov record does not identify the formal TIMELESS treatment-effect estimate or its inferential statistics.

Keeping these two levels separate is important. The clinical endpoint tells us what patient outcome the trial was designed to evaluate. The statistical analysis determines how the randomized comparison is quantified and how uncertainty around that comparison is assessed.

16. Serious Adverse Events: Statistical Perspective

The reported serious-adverse-event data are presented as affected patients divided by the number at risk:

Reported safety counts
Tenecteplase: 91/218   ·   Placebo: 102/214

These are the exact affected/at-risk counts reported in the ClinicalTrials.gov record.

A comparative safety analysis could express the difference using a risk ratio, risk difference, odds ratio, or another prespecified estimand. The appropriate choice depends on the analysis plan, follow-up definition, and denominator convention. None of those formal comparative estimates is reported here, so they are not calculated on this page.

Why no derived percentage is shown:The affected/at-risk values are therefore retained in their reported form.

17. Statistical Concepts in This Trial

Learn more about the methods and design concepts most relevant to understanding TIMELESS:

18. Related Statistical Calculators

19. Sources

Source discipline: The numerical trial information on this page is restricted to the registry-reported TIMELESS trial data. The linked publications are provided as source navigation, but no additional numerical results from those publications are incorporated into this analysis.

Continue through the Clinical Biostats library

Explore statistical tutorials and calculators related to randomized trials, ordinal outcomes, blinding, randomization, and clinical safety analysis.

20. Record Summary

TIMELESS is a completed randomized, parallel, quadruple-masked phase 3 trial with 458.0 enrolled participants evaluating tenecteplase versus placebo in stroke patients between 4.5 and 24 hours. Its registered primary endpoint is the ordinal modified Rankin Scale score at Day 90. The statistical structure of that endpoint is important: mRS is an ordered categorical outcome, making ordinal methods such as proportional-odds regression a natural framework for consideration when specified by the statistical analysis plan.

The ClinicalTrials.gov record also report serious adverse events as 91/218 for tenecteplase and 102/214 for placebo. However, the ClinicalTrials.gov record is empty. Consequently, this page deliberately separates the documented trial design and reported safety counts from statistical quantities that are not provided, rather than reconstructing an unreported treatment effect, confidence interval, or p-value.

Clinical Biostats methodology: A trial-results page should distinguish what the registry reports from what statistical methodology would ordinarily be appropriate for the endpoint. For TIMELESS, that distinction is especially important because the registered primary outcome is clearly defined, while the ClinicalTrials.gov record does not include its formal statistical comparison.