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Allergic Asthma Phase 4 Randomized NCT01125748

XPORT: Complete Statistical Analysis of Omalizumab in Allergic Asthma

An independent statistical analysis of the phase 4 XPORT trial evaluating the persistency of response with or without omalizumab after long-term therapy in participants with allergic asthma.

Trial status: COMPLETED  ·  Start: 2010-05  ·  Primary completion: 2013-08  ·  Enrollment: 176
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. Numerical trial results on this page are limited to the information from the registry data for XPORT.

1. Trial at a Glance

XPORT was a randomized, double-blind, parallel phase 4 clinical trial evaluating the persistency of response with or without Xolair (omalizumab) after long-term therapy in participants with allergic asthma.

176
Enrollment
Randomized trial
2
Arms
Omalizumab vs placebo
19.3
Mean difference
Final values
95%
Confidence interval
5.0 to 33.6
FeatureXPORT
Trial nameXPORT
NCT IDNCT01125748
Brief titleA Study Evaluating the Persistency of Response With or Without Xolair (Omalizumab) After Long-term Therapy
PhasePhase 4
StatusCOMPLETED
Therapeutic areaPulmonology
ConditionAllergic Asthma
Enrollment176
AllocationRandomized
Design modelParallel
MaskingDouble
Primary purposeTreatment
Lead sponsorGenentech, Inc.
Sponsor typeIndustry
Start2010-05
Primary completion2013-08

2. Clinical Question

The central clinical-trial question was whether the persistency of response after long-term therapy differed between participants assigned to omalizumab and those assigned to placebo.

Population

Participants with allergic asthma enrolled in the XPORT randomized phase 4 study.

Intervention

Omalizumab, with asthma therapies.

Comparator

Placebo, with asthma therapies.

Primary question

Does the percentage of participants not experiencing a protocol-defined severe exacerbation differ between the omalizumab and placebo groups during the study?

3. Trial Design

01
Randomize 176 participants
02
Assign Omalizumab or placebo
03
Maintain masking Double-blind design
04
Follow Baseline to end of study
05
Assess Severe exacerbation endpoint
Allocation
Randomized allocation was used to compare the two treatment groups.
Design model
Parallel-group design with two arms.
Masking
The registry identifies the study as double-blind.
Primary purpose
Treatment.
ARM 1 · Omalizumab

Omalizumab group

  • Omalizumab (drug)
  • Asthma therapies (drug)
  • Serious adverse events: 10/121 affected/at risk
ARM 2 · Placebo

Placebo group

  • Placebo (drug)
  • Asthma therapies (drug)
  • Serious adverse events: 8/88 affected/at risk
Registry information versus reconstruction: The ClinicalTrials.gov record identifies the trial as randomized, parallel, and double-blind, but does not provide a randomization ratio, stratification factors, treatment duration details, crossover information, or an interim-analysis plan. Those design features are therefore not reconstructed here.

4. Primary Endpoint

EndpointRegistry definition / time frameTypeFormal analysis
Percentage of Participants Not Experiencing a Protocol-defined Severe Exacerbation During the Study Baseline to the end of the study (up to 52 weeks) Binary Yes

The registry defines the primary endpoint as the percentage of participants not experiencing a protocol-defined severe exacerbation during the study, assessed from baseline to the end of the study, up to 52 weeks.

5. Statistical Methodology

The posted primary analysis used the intent-to-treat population: all randomized participants. The registry reports a comparison of omalizumab versus placebo using a mean difference in final values. The hypothesis type is superiority.

Statistical featureRegistry information
Analysis populationIntent-to-treat population: All randomized participants.
Groups comparedOmalizumab vs Placebo
Endpoint typeBinary
Effect measureMean Difference (Final Values)
Estimate19.3
Confidence interval95% two-sided CI: 5.0 to 33.6
Hypothesis typeSuperiority
Named analysis conceptIntention-to-treat analysis
Method reported by registryNot reported
Method category reported by registryNot reported
Important statistical distinction: The registry identifies the endpoint as binary but reports the effect measure as a mean difference in final values. This page preserves that registry-reported effect measure rather than substituting a different binary-outcome measure such as a risk ratio, odds ratio, or risk difference.

6. Primary Result

The ClinicalTrials.gov data contain one formal statistical analysis for the primary endpoint. The analysis compares omalizumab with placebo in the intent-to-treat population.

Percentage of Participants Not Experiencing a Protocol-defined Severe Exacerbation

Mean difference in final values

19.3

95% two-sided CI: 5.0–33.6

Hypothesis type: Superiority

Primary endpointAnalysis populationComparisonEffect measureEstimate95% CI
Percentage of Participants Not Experiencing a Protocol-defined Severe Exacerbation During the Study Intent-to-treat population: All randomized participants. Omalizumab vs Placebo Mean Difference (Final Values) 19.3 5.0 to 33.6
P-value reporting: No p-value is included in the ClinicalTrials.gov record. The registry data therefore support reporting the estimate and its 95% two-sided confidence interval, but not a numerical p-value.
Clinical Biostats interpretation

The reported mean difference of 19.3 describes the registry's estimated difference in final values for the percentage of participants not experiencing a protocol-defined severe exacerbation, comparing omalizumab with placebo. Because the registry labels the effect measure as a mean difference, the number should be interpreted according to that reported analysis rather than silently converted into a different effect measure.

The estimate does not mean that every individual participant experienced a 19.3-unit improvement, nor does it provide an individual-level probability of avoiding a severe exacerbation. It is a group-level treatment comparison.

The 95% two-sided confidence interval of 5.0 to 33.6 describes statistical uncertainty around the reported estimate under the analysis framework. It does not describe the range of responses that individual participants can experience.

A confidence interval and a p-value answer different questions. The ClinicalTrials.gov record provides the confidence interval but does not provide a numerical p-value. A p-value, when reported, would quantify evidence against the null hypothesis under a specified testing framework; it would not measure the size or clinical importance of the effect.

Because the registry does not report the statistical method, stratification, missing-data handling, or a formal testing procedure beyond identifying the analysis as superiority, those features should not be inferred from the estimate alone.

7. How to Interpret the Confidence Interval

The confidence interval is particularly important because the point estimate alone does not communicate the precision of the comparison.

Reported primary estimate
Mean difference = 19.3    95% CI = 5.0 to 33.6

The interval gives a range of values compatible with the estimated treatment contrast under the statistical framework used to generate it. Its width reflects uncertainty in the estimate.

What the point estimate says

The registry's estimated mean difference in final values was 19.3 for omalizumab versus placebo.

What the interval says

The registry-reported 95% two-sided confidence interval extends from 5.0 to 33.6, showing the statistical uncertainty around the estimate.

What it does not say

It does not describe the response range for individual participants or guarantee that a future study will produce an estimate inside the same interval.

Why method matters

The registry does not identify the formal calculation method, so interpretation should remain tied to the reported mean-difference analysis rather than a reconstructed method.

8. Intention-to-Treat Analysis

The posted primary analysis used the intent-to-treat population: all randomized participants. This is a central design principle in randomized clinical trials because participants remain associated with the treatment group to which they were randomized for the efficacy comparison.

Core principle
Analyze randomized participants according to randomized assignment

The purpose is to preserve the comparison created by randomization rather than redefining treatment groups according to what participants subsequently received.

For XPORT, the registry explicitly identifies ITT as the analysis population for the posted primary endpoint. That is stronger evidence than attempting to infer the analysis population from the treatment arms or enrollment figure.

Why ITT matters for this endpoint

The primary endpoint is binary: whether a participant did or did not experience a protocol-defined severe exacerbation during the study period. Using all randomized participants as specified maintains the randomized comparison and avoids selectively excluding participants based on subsequent events or treatment exposure.

What is not reported: The ClinicalTrials.gov record does not describe the handling of missing endpoint assessments, protocol deviations, withdrawals, or other missing-data mechanisms. No imputation method is therefore presented.

9. Randomization and Blinding

XPORT was registered as a randomized, double-blind, parallel trial. These design features are directly relevant to the statistical interpretation of the treatment comparison.

Randomization

Randomized allocation is intended to create comparable groups at baseline in expectation and provides the foundation for interpreting between-group differences as treatment effects within the trial.

Double blinding

Double blinding can reduce the influence of knowledge of treatment assignment on participant behavior, investigator decisions, assessment, and other aspects of trial conduct.

Parallel design

Participants were assigned to one of two parallel study arms rather than being described in the registry as crossing between treatment sequences.

Statistical implication

The posted primary analysis compares the randomized treatment groups using the ITT population, aligning the analysis with the randomized design.

10. Results Reported Beyond the Primary Analysis

The ClinicalTrials.gov record states that 2 outcome measures were posted and that 1 statistical analysis was posted. Only one formal statistical analysis is included in the ClinicalTrials.gov record, and it corresponds to the primary endpoint.

Results componentInformation available in the ClinicalTrials.gov record
Outcome measures posted2
Statistical analyses posted1
Primary-endpoint analyses1
Primary analyses with estimate + CI1
Primary formal analysisPercentage of Participants Not Experiencing a Protocol-defined Severe Exacerbation During the Study
Additional formal statistical resultsNot contained in the ClinicalTrials.gov record

11. Safety Results

The ClinicalTrials.gov record provides serious adverse events by treatment arm as affected participants over those at risk. These counts should be reported separately from the primary efficacy analysis because safety and efficacy address different dimensions of the trial.

Safety measureOmalizumabPlacebo
Serious adverse events, affected / at risk10/1218/88

Omalizumab

Serious adverse events affected 10 participants among 121 at risk, according to the ClinicalTrials.gov record.

Placebo

Serious adverse events affected 8 participants among 88 at risk, according to the ClinicalTrials.gov record.

Safety denominator note: The registry-reported serious-adverse-event denominators are 121 and 88. They are therefore not substituted with the overall enrollment of 176, and no percentages are calculated from them because the instruction is to report registry numbers exactly as provided.

12. Statistical Methods Explained

Why was an intention-to-treat analysis used?

The registry identifies the primary analysis population as all randomized participants. An ITT analysis keeps participants associated with their randomized treatment assignment, preserving the principal comparison generated by randomization. This is especially important when treatment exposure or follow-up differs after randomization.

What does a mean difference of 19.3 mean?

The registry reports a mean difference in final values of 19.3 for omalizumab versus placebo. Because the underlying endpoint is a percentage of participants and the registry labels the effect measure as a mean difference, the safest interpretation is the reported group-level contrast. The ClinicalTrials.gov record does not provide the arm-specific final percentages, so those values are not reconstructed here.

What does the 95% confidence interval of 5.0 to 33.6 tell us?

It expresses uncertainty around the estimated mean difference. The interval is two-sided and has a 95% confidence level. It should not be interpreted as containing 95% of individual participant outcomes.

Why not report a hazard ratio?

The primary endpoint is binary and is evaluated over baseline to the end of the study, up to 52 weeks. The registry reports a mean difference rather than a hazard ratio. A hazard ratio would require a time-to-event analysis and is not an effect measure reported for the posted primary analysis.

Why not replace the mean difference with a risk ratio or odds ratio?

Different measures of binary treatment effect answer different questions and can have materially different numerical interpretations. The ClinicalTrials.gov record explicitly identify the effect measure as mean difference, so replacing it with a different measure would constitute an analysis not contained in the ClinicalTrials.gov record.

Why does the p-value matter, and why is it absent here?

A p-value would describe the evidence against a specified null hypothesis under a defined testing procedure. However, the ClinicalTrials.gov record contains no numerical p-value.

Why is the analysis population important?

The posted analysis uses all randomized participants. This connects the statistical analysis directly to the randomized design and helps preserve the comparability created by random allocation. The ClinicalTrials.gov record does not describe separate per-protocol or as-treated efficacy analyses.

13. What the Primary Estimate Does — and Does Not — Mean

Statistical interpretation

The reported mean difference of 19.3 is the estimated final-value contrast between omalizumab and placebo for the primary binary endpoint, using the intent-to-treat population.

It does not mean that every participant experienced a 19.3-unit change, nor does it establish the magnitude of benefit for any individual participant.

Confidence interval

The 95% two-sided CI of 5.0 to 33.6 describes uncertainty around the reported treatment contrast. A narrower interval would indicate greater statistical precision, while a wider interval would indicate more uncertainty.

P-value distinction

The ClinicalTrials.gov record does not report a numerical p-value.

Binary endpoint caution

The endpoint is binary, but the posted effect measure is a mean difference in final values. The registry does not provide enough methodological detail in the ClinicalTrials.gov record to determine whether the analysis used a particular regression model, covariance adjustment, or transformation.

14. Missing Data and Analysis Details

The registry data posted on ClinicalTrials.gov for XPORT identify the analysis population and effect measure but do not report several methodological details that can materially affect a binary-endpoint analysis.

Methodological topicWhat the ClinicalTrials.gov record reports
Missing-data / imputation methodNot reported
Statistical methodNot reported
Stratification factorsNot reported
Interim analysisNot reported
Multiplicity adjustmentNot reported
Non-inferiority marginNot applicable to the reported superiority hypothesis; no margin is reported
CrossoverNot reported
Bayesian methodsNot reported

These omissions are important because a point estimate cannot reveal how missing observations were handled, whether covariates were adjusted for, or whether any multiplicity or interim-monitoring procedure affected the inferential framework.

15. Superiority Hypothesis

The registry identifies the hypothesis type for the posted primary analysis as superiority. This means the statistical question is framed around whether the treatment groups differ in the specified direction under a superiority-testing framework, rather than whether one treatment is merely not unacceptably worse than another.

Superiority

The goal is to evaluate whether the randomized groups differ in the endpoint under the prespecified superiority framework.

Non-inferiority

No non-inferiority margin is reported in the ClinicalTrials.gov record, and the posted analysis is explicitly identified as superiority.

The distinction matters because confidence intervals are interpreted differently depending on the hypothesis being tested. A superiority analysis asks whether the treatment contrast is compatible with a meaningful difference under the specified null hypothesis; a non-inferiority analysis instead requires the confidence interval to be evaluated against a prespecified clinically acceptable margin.

16. Trial Timeline

2010-05

Trial start

The XPORT study began in May 2010 according to the ClinicalTrials.gov record.

Up to 52 weeks

Primary endpoint assessment period

The primary endpoint was assessed from baseline to the end of the study, up to 52 weeks.

2013-08

Primary completion

The ClinicalTrials.gov record lists August 2013 as the primary completion date.

COMPLETED

Trial status

The registry identifies the overall study status as completed.

17. Statistical Interpretation of the Trial Design

The XPORT design provides a useful example of how several core clinical-trial concepts fit together without requiring a complex time-to-event model. The study is randomized, double-blind, parallel, and superiority-focused. Its primary endpoint is binary, while the posted effect measure is a mean difference in final values.

ConceptHow it appears in XPORT
RandomizationParticipants were randomized to two parallel treatment groups.
BlindingThe registry identifies the study as double-blind.
ITT analysisThe primary analysis population was all randomized participants.
Binary endpointThe primary endpoint is whether participants did not experience a protocol-defined severe exacerbation.
Mean differenceThe posted effect measure was Mean Difference (Final Values).
Confidence intervalThe reported estimate has a 95% two-sided CI of 5.0 to 33.6.
SuperiorityThe posted hypothesis type was superiority.
Registry transparencyThe ClinicalTrials.gov record does not identify the formal statistical method used to produce the estimate.

18. Limitations

19. Why This Trial Matters Statistically

XPORT is useful as a teaching case because it demonstrates how a randomized clinical trial can produce a treatment comparison for a binary clinical endpoint while leaving important methodological questions visible in the registry record.

ConceptWhat XPORT illustrates
RandomizationTwo parallel groups were created through randomized allocation.
BlindingThe trial was double-blind.
ITT principleThe posted primary analysis included all randomized participants.
Binary outcomeThe primary endpoint classifies participants according to whether they experienced the specified event.
Mean differenceThe registry reports a mean difference in final values as the treatment effect measure.
Confidence intervalsThe 95% two-sided interval communicates uncertainty around the point estimate.
Superiority testingThe formal hypothesis type is identified as superiority.
Statistical transparencyThe registry supplies the analysis population and estimate but does not identify the statistical method.
Safety analysisSerious adverse events are reported separately by treatment arm using affected/at-risk counts.

20. Related Tutorials

Learn more about the methods used in this trial:

21. Related Calculators

22. Sources

Continue through Clinical Biostats

Explore statistical tutorials, clinical-trial methods, and practical calculators for understanding randomized-study evidence.

23. Record Summary

XPORT is a completed phase 4, randomized, double-blind, parallel clinical trial in allergic asthma. The ClinicalTrials.gov record reports a primary binary endpoint measuring the percentage of participants not experiencing a protocol-defined severe exacerbation during the study, from baseline to the end of the study, up to 52 weeks. The primary formal analysis used the intent-to-treat population and compared omalizumab with placebo using a reported mean difference in final values of 19.3, with a 95% two-sided confidence interval of 5.0 to 33.6.

The statistical record is notable not only for the reported treatment contrast but also for what the registry does and does not specify. The analysis method and method category are not reported in the ClinicalTrials.gov record, and no numerical p-value is provided. Consequently, the appropriate interpretation is to preserve the reported effect measure and confidence interval rather than reconstructing an unreported model. The ClinicalTrials.gov record separately report serious adverse events of 10/121 for omalizumab and 8/88 for placebo.

Clinical Biostats methodology: A trial-results page should distinguish documented trial evidence from statistical interpretation. For XPORT, that means retaining the registry's endpoint definition, analysis population, effect measure, estimate, confidence interval, and safety counts exactly as reported in the registry while avoiding unsupported assumptions about statistical modeling, missing-data handling, multiplicity, interim monitoring, or secondary analyses.