← Clinical Trials
Multiple Myeloma Phase 3 Randomized NCT04162210

DREAMM-3: Complete Statistical Analysis of Belantamab Mafodotin in Relapsed/Refractory Multiple Myeloma

An independent statistical analysis of the randomized phase 3 DREAMM-3 trial comparing single-agent belantamab mafodotin with pomalidomide plus low-dose dexamethasone in participants with relapsed/refractory multiple myeloma.

DREAMM-3  ·  Phase 3  ·  Randomized parallel design  ·  Results posted
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 and the linked publication record identified in that data.

Registry context: 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

DREAMM-3 was a randomized, parallel, phase 3 trial comparing single-agent belantamab mafodotin with pomalidomide plus low-dose dexamethasone in participants with relapsed/refractory multiple myeloma. The registered primary endpoint was progression-free survival based on investigator-assessed response according to International Myeloma Working Group criteria.

325
Enrollment
Participants
2
Arms
Parallel design
1.03
Primary PFS HR
95% CI 0.72–1.47
0.98
OS HR
95% CI 0.73–1.30
FeatureDREAMM-3
Trial nameDREAMM-3
PhasePhase 3
ConditionMultiple Myeloma
PopulationParticipants with relapsed/refractory multiple myeloma
DesignRandomized, parallel, unmasked
AllocationRandomized
Primary purposeTreatment
Enrollment325
Primary endpointProgression-Free Survival (PFS) Based on Investigator-Assessed Response as Per International Myeloma Working Group (IMWG)
Primary endpoint time frameUp to 27 months
Trial statusActive, not recruiting
Start2020-04-02
Primary completion2022-09-12
Lead sponsorGlaxoSmithKline
Sponsor typeIndustry
ClinicalTrials.govNCT04162210

2. Clinical Question

The primary statistical question was whether time from randomization to progression or death differed between participants assigned to single-agent belantamab mafodotin and those assigned to pomalidomide plus low-dose dexamethasone.

Population

Participants with relapsed/refractory multiple myeloma.

Intervention

Belantamab mafodotin.

Comparator

Pomalidomide plus low-dose dexamethasone (Pom/dex).

Primary question

How does progression-free survival compare between the two randomized treatment groups?

The registry identifies the primary endpoint as a time-to-event outcome and reports the primary comparison using a log-rank test with a hazard ratio as the effect measure. The efficacy analysis population was the intention-to-treat population, defined as all randomized participants whether or not randomized treatment was administered.

3. Trial Design

01
Randomize 325 enrolled
02
Arm A Belantamab mafodotin
03
Arm B Pom/dex
04
Assess Investigator-assessed IMWG response
05
Analyze Time-to-event outcomes
INTERVENTION

Belantamab mafodotin

  • Single-agent belantamab mafodotin.
  • Primary comparison against Pom/dex.
  • Primary endpoint analyzed using the ITT population.
COMPARATOR

Pomalidomide plus dexamethasone

  • Pomalidomide plus low-dose dexamethasone.
  • Comparator treatment group for the randomized analysis.
  • Primary endpoint analyzed using the ITT population.
Allocation
Randomized
Design model
Parallel
Masking
None
Primary purpose
Treatment

4. Randomization and Analysis Population

The primary efficacy analysis used the intention-to-treat (ITT) population. The registry defines this population as including all randomized participants whether or not randomized treatment was administered.

This distinction is important for causal interpretation. Once randomization occurs, retaining participants in their assigned groups preserves the treatment comparison created by the randomization process. Treatment discontinuation or failure to receive randomized treatment does not automatically remove a participant from the primary efficacy population.

Population / conceptRegistry information
Primary efficacy populationIntent-to-treat (ITT)
ITT definitionAll randomized participants whether or not randomized treatment was administered
Primary comparisonBelantamab Mafodotin vs Pomalidomide Plus Dexamethasone
Secondary OS populationITT Population

5. Endpoints

Primary Endpoint: Progression-Free Survival

ElementRegistered information
EndpointProgression-Free Survival (PFS) Based on Investigator-Assessed Response as Per International Myeloma Working Group (IMWG)
Time frameUp to 27 months
Endpoint typeTime-to-event
DefinitionPFS is time from randomization until earliest date of progressive disease (PD), or death due to any cause per investigator-assessed response per IMWG.
Progressive disease definitionPD is ≥25% increase from nadir in any of the following: serum M-protein (absolute increase ≥0.5 gram per deciliter [g/dL]), urine M-protein (absolute increase ≥200 mg/24hr), or difference between involved/uninvolved FLC levels (absolute increase >10 mg/dL).

The endpoint therefore combines two possible event pathways: documented progressive disease or death from any cause. Participants who have not experienced either event by their last evaluable observation contribute censored follow-up to the time-to-event analysis.

Secondary Endpoint: Overall Survival

ElementRegistered analysis information
EndpointOverall Survival (OS)
Time frameUp to approximately 263 weeks
Endpoint typeTime-to-event
Analysis populationITT Population
ComparisonBelantamab Mafodotin vs Pomalidomide Plus Dexamethasone

PFS and OS are related but distinct endpoints. PFS counts progression or death as the event, whereas OS uses death as the event. Consequently, a treatment comparison can produce different hazard-ratio estimates for the two endpoints even though both are analyzed as time-to-event outcomes.

6. Statistical Methodology

Log-rank test

The registry reports the log-rank test as the statistical method for both the primary PFS analysis and the secondary OS analysis. The log-rank test compares the observed pattern of event occurrence over follow-up between randomized groups rather than reducing the data to a single time point.

Conceptual survival comparison
Compare the observed event pattern over time between randomized treatment groups

The log-rank framework is designed for censored time-to-event data and therefore uses information contributed by participants throughout follow-up.

Hazard ratio

The effect measure reported for both analyses was the hazard ratio (HR). A hazard ratio compares the estimated instantaneous event rates between treatment groups within the statistical framework used for the analysis.

Interpretation of the hazard ratio
HR = estimated hazard in the belantamab mafodotin group ÷ estimated hazard in the Pom/dex group

An HR below 1 indicates a lower estimated event hazard in the numerator group; an HR above 1 indicates a higher estimated event hazard. The HR is not itself an absolute probability or a difference in median survival.

Stratified analysis and covariate adjustment

The primary and secondary analyses are described as incorporating covariate adjustment and stratification. The registry notes that the one-sided p-value from the stratified log-rank test was adjusted for previous treatment with anti-CD38, ISS staging, and number of prior lines of therapy.

Adjustment / stratification factorRole identified in the registry analysis
Previous treatment with anti-CD38Adjustment / stratification factor
ISS stagingAdjustment / stratification factor
Number of prior lines of therapyAdjustment / stratification factor

One-sided testing with a two-sided confidence interval

The registry analysis notes specify a one-sided p-value from the stratified log-rank test, while the reported hazard-ratio confidence intervals are explicitly 95% two-sided intervals. These quantities should be read according to their stated constructions rather than treating the p-value and confidence interval as if they were necessarily generated from identical tail conventions.

7. Results: Primary Progression-Free Survival

The primary endpoint analysis compared investigator-assessed progression-free survival between belantamab mafodotin and pomalidomide plus dexamethasone over the registered time frame of up to 27 months.

Hazard ratio for progression or death

1.03

95% CI: 0.72–1.47   ·   P = 0.558

Analysis: stratified log-rank test  ·  Analysis population: ITT

Primary endpointBelantamab mafodotin vs Pom/dex
Progression-free survivalHR 1.03
95% confidence interval0.72–1.47
Confidence interval95%, two-sided
P-value0.558
Statistical methodLog-rank test
Analysis populationIntent-to-treat
AdjustmentPrevious treatment with anti-CD38, ISS staging and number of prior lines of therapy
Clinical Biostats interpretation

The estimated hazard ratio of 1.03 means that the estimated instantaneous rate of progression or death was approximately 3% higher in the belantamab mafodotin group than in the Pom/dex group within the fitted comparison. Because the estimate is close to 1, the estimated relative difference in event hazard is small.

The HR does not mean that 3% more participants progressed, nor does it mean that the treatment caused a 3% increase in an individual's probability of progression or death. A hazard ratio is a relative time-to-event measure, not an absolute risk difference.

The 95% CI of 0.72–1.47 is relatively broad around the point estimate. It includes values below 1 and above 1, so the interval is compatible with a range of possible relative event hazards under the statistical model and sampling framework. It should not be interpreted as a range containing the individual treatment effects experienced by patients.

The P = 0.558 value describes the evidence against the statistical null within the stated testing framework; it does not measure the size or clinical importance of the observed effect. A p-value of 0.558 is not a probability that the null hypothesis is true, and it does not establish equivalence between treatments.

Because this is a time-to-event analysis using a hazard ratio, interpretation also depends on the behavior of hazards over follow-up. A single HR can be an incomplete summary if the relative hazards vary substantially with time. The ClinicalTrials.gov record does not provide enough information to independently assess that assumption.

8. Results: Overall Survival

Overall survival was reported as a secondary time-to-event endpoint with a time frame of up to approximately 263 weeks. The analysis used the ITT population and the same broad stratified log-rank framework described for the primary endpoint.

Hazard ratio for overall survival

0.98

95% CI: 0.73–1.30   ·   P = 0.440

Analysis: stratified log-rank test  ·  Analysis population: ITT

Secondary endpointBelantamab mafodotin vs Pom/dex
Overall survivalHR 0.98
95% confidence interval0.73–1.30
Confidence interval95%, two-sided
P-value0.440
Statistical methodLog-rank test
Analysis populationITT Population
AdjustmentPrevious treatment with anti-CD38, ISS staging and number of prior lines of therapy
Clinical Biostats interpretation

The estimated OS hazard ratio of 0.98 is very close to 1. Within the model-based framework, this corresponds to an estimated instantaneous rate of death that is approximately 2% lower in the belantamab mafodotin group than in the Pom/dex group.

That does not mean that mortality was reduced by exactly 2% for every participant, nor does it represent an absolute survival difference. The HR summarizes relative event rates over the analyzed follow-up.

The 95% CI of 0.73–1.30 spans both below and above 1. The interval therefore reflects uncertainty that encompasses both a lower and a higher estimated death hazard for belantamab mafodotin relative to the comparator.

The P = 0.440 value is evidence from the specified hypothesis-testing framework, not a measure of treatment effect size. A larger p-value does not quantify how clinically important an observed difference is, and a p-value alone cannot establish that two treatments are equivalent.

As with PFS, the interpretation of an HR requires attention to censoring and the time-varying behavior of hazards. The ClinicalTrials.gov record does not report enough additional information to independently reconstruct the survival curves or evaluate proportional-hazards behavior.

9. Comparing the Two Time-to-Event Results

EndpointHR95% CIP-valueMethod
Primary PFS1.030.72–1.470.558Stratified log-rank
Secondary OS0.980.73–1.300.440Stratified log-rank

The two estimates are close to the null value of 1, but they describe different event processes. The PFS analysis counts either investigator-assessed progression or death, whereas OS counts death. It is therefore not statistically contradictory for the two hazard ratios to differ.

The confidence intervals also illustrate why point estimates should not be interpreted in isolation. The PFS interval extends from 0.72 to 1.47, while the OS interval extends from 0.73 to 1.30. Both intervals contain 1, and both indicate uncertainty around the respective point estimates.

Important distinction: the reported results do not justify replacing a formal comparison with the statement that the treatments are "the same." Failure to demonstrate a statistically significant difference is not, by itself, a non-inferiority or equivalence finding. The ClinicalTrials.gov record does not report a non-inferiority margin or an equivalence framework.

10. Secondary Endpoint Results

The ClinicalTrials.gov record contains one posted secondary statistical analysis: overall survival. No additional secondary endpoint statistical analyses are included in the posted results.

EndpointRoleHR95% CIP-value
Overall Survival (OS)Secondary0.980.73–1.300.440

The registry reports 25 outcome measures overall, but the ClinicalTrials.gov record contains only the formal primary PFS analysis and the secondary OS analysis. The page therefore does not infer additional numerical efficacy results from the existence of other registered outcome measures.

11. Safety

The ClinicalTrials.gov record reports serious adverse events by treatment arm as affected participants divided by participants at risk. These figures should be kept separate from the efficacy analyses because the safety denominator and analysis context can differ from the ITT efficacy population.

Safety measureBelantamab MafodotinPomalidomide Plus Dexamethasone
Serious adverse events101 / 217 affected / at risk45 / 102 affected / at risk

The ClinicalTrials.gov record does not provide a statistical comparison, confidence interval, or p-value for serious adverse events. Accordingly, the figures are reported descriptively rather than treated as evidence of a formal between-group hypothesis test.

Safety interpretation: the serious-adverse-event figures are presented exactly as reported in the registry by the registry data: 101/217 for belantamab mafodotin and 45/102 for pomalidomide plus dexamethasone. No additional safety rates or event-specific conclusions are inferred.

12. Statistical Methods Explained

Why was a log-rank test used?

PFS and OS are time-to-event endpoints, so participants can contribute different amounts of follow-up and can be censored before an event occurs. The log-rank test is designed to compare the event experience of randomized groups across follow-up while incorporating this censored time-to-event structure.

What does a hazard ratio of 1.03 mean?

An HR of 1.03 indicates an estimated instantaneous event hazard approximately 1.03 times that of the comparator under the analysis framework. Put differently, the estimated relative hazard is about 3% higher. It does not represent a 3% absolute increase in the probability of progression or death.

What does an HR of 0.98 mean?

An HR of 0.98 corresponds to an estimated instantaneous death hazard approximately 0.98 times that of the comparator. This is an estimated relative difference of about 2% lower in the belantamab mafodotin group. Again, this is not an absolute survival difference.

Why does the confidence interval matter?

A point estimate summarizes the observed comparison, but the confidence interval describes uncertainty around that estimate. For PFS, the 95% CI is 0.72–1.47; for OS, it is 0.73–1.30. The widths of these intervals show that the point estimates should not be treated as exact measurements.

Why doesn't the p-value measure effect size?

The p-value measures how compatible the observed data are with a specified null hypothesis under the stated statistical framework. It is affected by the effect estimate, variability, sample information, censoring, and other features of the analysis. It therefore cannot be read as a direct measure of clinical magnitude.

Why does ITT analysis matter?

The ITT principle keeps randomized participants in their assigned groups for efficacy analysis. This preserves the comparison generated by randomization and avoids redefining treatment groups based on events that occur after randomization.

Why was stratification used?

The registry analysis notes identify previous treatment with anti-CD38, ISS staging, and number of prior lines of therapy as adjustment factors. Stratified analysis allows the comparison to account for these prespecified factors rather than treating the randomized population as completely unstructured with respect to them.

13. Interpreting the Hazard Ratio Carefully

What the PFS HR does mean

The PFS HR of 1.03 is a relative time-to-event estimate comparing the instantaneous rate of progression or death between the two randomized treatment groups under the reported analysis.

What the PFS HR does not mean

It does not mean that 3% of participants had progression, that 3% more participants progressed, or that each participant experienced a 3% increase in individual risk. Those would require different measures.

What the OS HR does mean

The OS HR of 0.98 indicates an estimated death hazard approximately 0.98 times that of the comparator in the reported analysis.

What neither HR tells you

Neither HR directly gives the probability that an individual participant will survive to a specified time, the absolute number of additional months lived, or the proportion of patients who benefit. Those quantities require absolute survival estimates, median event times, or other clinically interpretable summaries that are not contained in the ClinicalTrials.gov record.

14. Confidence Intervals and Statistical Uncertainty

The PFS and OS confidence intervals provide an important complement to their point estimates.

EndpointPoint estimate95% two-sided CIIncludes HR = 1?
PFS1.030.72–1.47Yes
OS0.980.73–1.30Yes

For a hazard ratio, 1 represents equal estimated hazard between the groups. Because both confidence intervals include 1, neither interval excludes the null hazard ratio at the corresponding 95% confidence level.

The confidence interval should not be interpreted as saying that there is a 95% probability that the true hazard ratio lies inside this particular interval. Rather, it is an interval produced by a procedure with a stated long-run coverage property under its statistical assumptions.

15. One-Sided P-Values and Two-Sided Confidence Intervals

The registry analysis notes explicitly state that the p-value was a one-sided p-value from a stratified log-rank test, adjusted for previous treatment with anti-CD38, ISS staging, and number of prior lines of therapy. The reported confidence intervals for the hazard ratios are specified as 95% two-sided.

This distinction matters because one-sided and two-sided procedures allocate their reference probability differently. A reader should therefore preserve the registry's reported test convention rather than silently converting the p-value into a different testing framework.

Interpretive caution: a one-sided p-value does not mean that the analysis can only produce one possible direction of treatment effect. The estimated HR and its confidence interval still describe the observed comparison in both directions. The one-sided specification concerns the hypothesis-testing procedure.

16. Censoring and Time-to-Event Data

PFS and OS require methods that can accommodate incomplete follow-up. If a participant has not experienced the relevant event by the last observation, the participant's follow-up is censored rather than treated as if the event had occurred at that time.

This is one reason a time-to-event analysis cannot generally be replaced by a simple comparison of the proportions of participants who experienced events. Participants contribute information for the amount of time they remain under observation, and the statistical analysis uses the timing of events and censoring.

Core time-to-event structure
Randomization → follow-up → event or censoring

For PFS, the event is progressive disease or death. For OS, the event is death. The registry's primary PFS definition begins the clock at randomization.

17. Trial Timeline

2020-04-02

Trial start

The registered DREAMM-3 study began on April 2, 2020.

2022-09-12

Primary completion

The registry lists September 12, 2022 as the primary completion date.

Current registry status

Active, not recruiting

The ClinicalTrials.gov record identifies the trial status as ACTIVE_NOT_RECRUITING.

18. What the Results Do and Do Not Establish

What is directly reported

The registry reports a PFS HR of 1.03 with a 95% CI of 0.72–1.47 and P = 0.558, and an OS HR of 0.98 with a 95% CI of 0.73–1.30 and P = 0.440.

What is not directly reported here

The ClinicalTrials.gov record does not provide median PFS, median OS, Kaplan-Meier survival probabilities, subgroup estimates, or additional efficacy estimates.

What the p-values do not establish

The p-values do not establish that the treatments are equivalent, nor do they quantify the magnitude of any treatment difference.

What the confidence intervals add

The confidence intervals show the statistical uncertainty surrounding the reported hazard-ratio estimates and include the null value of 1 for both endpoints.

19. Multiplicity, Interim Analysis, and Other Design Features

The ClinicalTrials.gov record does not report a non-inferiority margin, factorial design, crossover scheme, formal multiplicity hierarchy, or interim-analysis alpha-spending procedure. Those design features are therefore not inferred from the reported PFS and OS analyses.

Design topicInformation supported by the ClinicalTrials.gov record
Non-inferiority marginNot reported in the ClinicalTrials.gov record
CrossoverNot reported in the ClinicalTrials.gov record
Factorial designNot reported; the registered design model is parallel
Multiplicity hierarchyNot reported in the ClinicalTrials.gov record
Interim analysisNot reported in the ClinicalTrials.gov record
Missing-data / imputation methodNot reported in the ClinicalTrials.gov record
Bayesian methodsNot reported in the ClinicalTrials.gov record

20. Important Limitations and Interpretation Issues

21. Why This Trial Matters Statistically

DREAMM-3 is a useful teaching case because its registry results illustrate how a randomized phase 3 comparison can be summarized through time-to-event methods without reducing the analysis to a single p-value.

ConceptHow it appears in DREAMM-3
RandomizationParticipants were assigned using a randomized parallel design.
ITT analysisThe primary PFS analysis included all randomized participants whether or not randomized treatment was administered.
Time-to-event endpointPFS was defined from randomization to progression or death.
Log-rank testUsed for the reported PFS and OS comparisons.
Hazard ratioUsed as the effect measure for PFS and OS.
Confidence interval95% two-sided intervals quantify uncertainty around both HR estimates.
Stratified analysisAnalyses were adjusted for previous treatment with anti-CD38, ISS staging and number of prior lines of therapy.
One-sided testingThe analysis notes identify a one-sided p-value from the stratified log-rank test.
Composite endpointPFS combines progressive disease and death as events.
Safety analysisSerious adverse events are reported separately by treatment arm.

22. Statistical Concepts in This Trial

Learn more about the methods used in this trial:

23. Related Statistical Calculators

Use related tools to explore the statistical concepts underlying this trial:

24. Sources

Continue through the Clinical Biostats statistical pathway

Connect this trial's time-to-event endpoints and statistical methods to deeper tutorials, calculators, and clinical-trial analysis workflows.

25. Record Summary

DREAMM-3 provides a focused example of randomized time-to-event analysis. The trial used a randomized parallel phase 3 design with 325 participants enrolled and compared belantamab mafodotin with pomalidomide plus low-dose dexamethasone. Its primary endpoint was investigator-assessed progression-free survival according to IMWG criteria, analyzed in the ITT population using a stratified log-rank test and hazard ratio.

The reported primary PFS analysis produced an HR of 1.03 with a 95% two-sided CI of 0.72–1.47 and P = 0.558. The reported secondary OS analysis produced an HR of 0.98 with a 95% two-sided CI of 0.73–1.30 and P = 0.440. Both intervals include the null hazard ratio of 1, emphasizing why the point estimate, confidence interval, p-value, analysis population, and endpoint definition should be interpreted together.

Clinical Biostats methodology: A trial-results page should distinguish reported statistical evidence from interpretation. For DREAMM-3, the most informative framework is to understand the randomized ITT comparison, the time-to-event endpoint definitions, the stratified log-rank methodology, the hazard-ratio estimates, their confidence intervals, and the limitations of interpreting p-values and hazard ratios in isolation.