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HIV Infection Phase 3 Dolutegravir NCT01328041

VIKING-3: Complete Statistical Analysis of Dolutegravir in HIV Infection

An independent statistical analysis of the phase 3 VIKING-3 trial evaluating dolutegravir in HIV-infected subjects with treatment failure on an integrase inhibitor-containing regimen.

Trial status: COMPLETED  ·  Enrollment: 183  ·  Start: 2011-05  ·  Primary completion: 2012-05
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 results on this page are restricted to the trial data reported in that registry record.

1. Trial at a Glance

VIKING-3 was a phase 3, single-group trial evaluating dolutegravir in HIV-infected subjects with treatment failure on an integrase inhibitor-containing regimen. The registry reports 183 enrolled participants, one intervention arm, and three posted statistical analyses for primary endpoints.

183
Enrollment
Participants
1
Study arm
Single-group design
3
Primary analyses
Estimate + CI for all 3
3
Statistical analyses
Posted on registry
FeatureVIKING-3
Trial nameVIKING-3
NCT IDNCT01328041
PhasePhase 3
ConditionInfection, Human Immunodeficiency Virus
PopulationHIV-infected subjects with treatment failure on an integrase inhibitor-containing regimen
Design modelSingle-group
AllocationNA
MaskingNone
Primary purposeTreatment
InterventionDolutegravir
Enrollment183
Lead sponsorViiV Healthcare
Sponsor typeIndustry
StatusCompleted

2. Clinical Question

The clinical question was whether dolutegravir could produce a measurable change in plasma HIV-1 RNA shortly after treatment initiation and whether participants could achieve HIV-1 RNA less than 50 copies/mL at Week 24 and Week 48.

Population

HIV-infected subjects with treatment failure on an integrase inhibitor-containing regimen.

Intervention

Dolutegravir. The serious-adverse-event summary identifies the study arm as dolutegravir 50 mg BID.

Comparator

There was no separate comparator arm. The registry classifies the design model as single-group and allocation as NA.

Primary questions

What was the mean change in plasma HIV-1 RNA at Day 8, and what percentage of participants had HIV-1 RNA less than 50 copies/mL at Weeks 24 and 48?

3. Trial Design

01
Enroll183 participants
02
TreatDolutegravir
03
Day 8HIV-1 RNA change
04
Week 24RNA <50 copies/mL
05
Week 48RNA <50 copies/mL
Design model
Single-group
No randomized comparator arm was reported.
Masking
None
The registry identifies the study as unmasked.
Allocation
NA
The registry does not specify an allocation ratio because this was a single-group design.
Primary purpose
Treatment
The trial was registered with treatment as its primary purpose.

The statistical structure is fundamentally different from a two-arm randomized superiority trial. Because VIKING-3 has one study arm, the Week 24 and Week 48 estimates describe the observed response proportion within the treated population rather than a treatment-versus-control contrast.

Important design distinction: the registry labels the hypothesis type for the posted primary analyses as superiority, but the trial itself is registered as a single-group study with no comparator. Therefore, the reported estimates should not be interpreted as evidence of superiority over an unreported control group.

4. Endpoints

The registry lists seven primary endpoints, including the three endpoints for which formal statistical analyses are posted. The endpoint definitions and registered time frames are reproduced below in abbreviated form while preserving their statistical meaning.

Registered primary endpointTime frameEndpoint type
Mean Change From Baseline in Plasma HIV-1 RNA at Day 8 Baseline and Day 8 Other / unclear; analyzed as continuous
Number of Participants With HIV-1 RNA Less Than 50 Copies/mL at Week 24 Week 24 Binary
Number of Participants With HIV-1 RNA Less Than 50 Copies/mL at Week 48 Week 48 Binary
Number of Participants With Any Adverse Event (AE) or Any Serious Adverse Event (SAE) From the day of the first dose of study drug until end of treatment visit for each participant, up to Week 180 (median of 758 days)) Binary
Number of Participants With Adverse Events of the Indicated Severity, Per the Division of Acquired Immune Deficiency Syndrome (DAIDS) Grading Scale From the day of the first dose of study drug until end of treatment visit for each participant, up to Week 180 (median of 758 days)) Binary
Number of Participants With the Maximum Post-Baseline-emergent Clinical Chemistry Toxicities of the Indicated Grade From the day of the first dose of study drug until end of treatment visit for each participant, up to Week 180 (median of 758 days)) Binary
Number of Participants With the Maximum Post-Baseline-emergent Hematology Toxicities of the Indicated Grade From the day of the first dose of study drug until end of treatment visit for each participant, up to Week 180 (median of 758 days)) Binary

Day 8 endpoint definition

Mean change from baseline in plasma HIV-1 RNA at Day 8 was calculated as the Day 8 value minus the baseline value. The registry states that the last observation was carried forward if a participant missed the Day 8 visit, and the baseline observation was carried forward if a participant discontinued treatment before Day 8.

Week 24 and Week 48 endpoint definition

The Week 24 and Week 48 endpoints were based on the Food and Drug Administration's Snapshot algorithm. The registry states that participants without HIV-1 RNA data at the visit of interest because of missing data or discontinuation of investigational product before the visit window were treated as nonresponders. Participants who switched their treatment were also handled according to the Snapshot framework.

Why the endpoint definition matters: the Week 24 and Week 48 estimates are not simply the percentage of available laboratory measurements below 50 copies/mL. The registered Snapshot algorithm incorporates missing data, discontinuation, and treatment switching into the responder classification.

5. Analysis Populations and Missing Data

The Day 8 statistical analysis used the Intent-to-Treat-Exposed (ITT-E) Population, defined as all participants who received at least one dose of study drug. The analysis description adds that only participants who had Day 8 observations were considered for the analysis.

AnalysisPopulationImportant handling rule
Day 8 mean change ITT-E Only participants with Day 8 observations were considered; the endpoint definition specifies last-observation-carried-forward rules for missed Day 8 visits and baseline carry-forward after discontinuation before Day 8.
Week 24 HIV-1 RNA <50 copies/mL ITT-E FDA Snapshot algorithm; participants without required HIV-1 RNA data or who discontinued before the visit window were treated as nonresponders.
Week 48 HIV-1 RNA <50 copies/mL ITT-E FDA Snapshot algorithm; participants without required HIV-1 RNA data or who discontinued before the visit window were treated as nonresponders.

This distinction illustrates an important statistical point: an analysis population and a missing-data rule answer different questions. The ITT-E definition specifies who enters the analysis, while the endpoint-specific rules determine how missing or unavailable measurements affect the outcome classification.

6. Statistical Methodology

Day 8 t-test

The registry reports a 2-sided t-test for the mean change from baseline in plasma HIV-1 RNA at Day 8. The reported outcome unit is log10 copies/milliliter (mL).

Reported Day 8 estimate
Mean change = -1.432 log10 copies/mL

95% CI: -1.520 to -1.343  ·  P < 0.001

Because VIKING-3 has a single study arm, the t-test is not a treatment-versus-control comparison. The registry reports the method and the resulting mean change, but does not state the reference value or null hypothesis in the ClinicalTrials.gov record. Therefore, the safest interpretation is that the analysis evaluates the reported mean change within the single treated group rather than estimating a between-arm treatment difference.

Confidence intervals

All three posted primary statistical analyses include 95% two-sided confidence intervals. For the Day 8 continuous endpoint, the interval quantifies uncertainty around the estimated mean change. For the Week 24 and Week 48 binary endpoints, the interval quantifies uncertainty around the reported percentage of participants meeting the HIV-1 RNA threshold.

General confidence-interval interpretation
Estimate ± uncertainty associated with the sampling process

A 95% confidence interval is a statement about the statistical procedure and repeated-sampling framework; it is not a probability statement that the fixed true parameter has a 95% chance of being inside this particular interval.

Intention-to-treat analysis

The Day 8 analysis explicitly identifies the ITT-E population and the Week 24 and Week 48 analyses identify the ITT-E population as well. In a single-group trial, this preserves the prespecified study population rather than creating a treatment-versus-control comparison.

Binary responder analysis

The Week 24 and Week 48 endpoints are binary responder outcomes: each participant is classified according to whether HIV-1 RNA was less than 50 copies/mL at the specified visit under the Snapshot algorithm. The registry reports the resulting percentage and confidence interval but does not report a formal statistical-analysis method for these two endpoints.

Method-reporting limitation: the registry's normalized analysis method is "Not reported" for both Week 24 and Week 48. Accordingly, this page does not assign a binomial, normal-approximation, exact, or other inferential procedure to those estimates.

7. Results: Mean Change From Baseline in Plasma HIV-1 RNA at Day 8

The first posted primary analysis evaluates the mean change from baseline in plasma HIV-1 RNA at Day 8. The outcome was expressed in log10 copies/milliliter (mL) and was analyzed in the ITT-E population.

Mean change from baseline

-1.432

95% CI: -1.520 to -1.343   ·   P < 0.001

Outcome unit: log10 copies/milliliter (mL)

FeatureReported result
EndpointMean Change From Baseline in Plasma HIV-1 RNA at Day 8
Time frameBaseline and Day 8
Analysis populationIntent-to-Treat-Exposed (ITT-E)
GroupDolutegravir 50 mg BID
Methodt-test, 2 sided
Estimate-1.432
95% CI-1.520 to -1.343
P-value<0.001
Clinical Biostats interpretation

The reported estimate of -1.432 log10 copies/mL means that the average change from baseline in the analyzed dolutegravir group was negative 1.432 on the log10 HIV-1 RNA scale. The negative sign therefore indicates a decrease from baseline on that scale.

The estimate does not represent a percentage reduction, a hazard ratio, or a treatment effect relative to a control group. Because the trial has a single study arm, it cannot by itself establish how the observed change compares with an untreated or alternative-treatment population.

The 95% CI from -1.520 to -1.343 describes statistical uncertainty around the estimated mean change. Its relatively narrow span provides a more informative description of precision than the point estimate alone.

The P < 0.001 result is evidence against the null hypothesis used by the reported two-sided t-test, but the p-value does not measure the magnitude of the observed change. Effect size and statistical evidence are separate concepts.

The interpretation also depends on the registered Day 8 missing-data rules and the restriction to participants with Day 8 observations in the stated analysis population. Those rules should be considered when generalizing the estimate to all 183 enrolled participants.

8. Results: HIV-1 RNA Less Than 50 Copies/mL at Week 24

The second posted primary analysis reports the percentage of participants with HIV-1 RNA less than 50 copies/mL at Week 24 using the FDA Snapshot algorithm.

Week 24 response

69%

95% CI: 62% to 76%

Analysis population: ITT-E

FeatureReported result
EndpointNumber of Participants With HIV-1 RNA Less Than 50 Copies/mL at Week 24
Time frameWeek 24
Analysis populationITT-E Population
Effect measurePercentage of participants
Estimate69
95% CI62 to 76
Formal methodNot reported
Week 24 HIV-1 RNA <50 copies/mL
Dolutegravir
69%
Clinical Biostats interpretation

The reported estimate means that 69% of participants met the registered HIV-1 RNA threshold of less than 50 copies/mL at Week 24 under the FDA Snapshot algorithm.

This is a within-group response proportion. It is not a relative risk, risk difference, odds ratio, or comparison against a control treatment because no comparator arm was registered.

The 95% CI of 62% to 76% describes statistical uncertainty around the estimated percentage. It does not mean that individual participants have response probabilities confined to this interval, nor does it describe the range of responses among individual patients.

No formal analysis method is reported for this endpoint in the registry statistical-analysis record. Therefore, the confidence interval should be interpreted as the registry-reported inferential interval without assigning an unreported statistical procedure to it.

The Snapshot algorithm is especially important: participants lacking the required HIV-1 RNA data because of missing data or discontinuation before the relevant visit window were classified as nonresponders. Thus, the 69% figure is not equivalent to the percentage of evaluable laboratory measurements below 50 copies/mL.

9. Results: HIV-1 RNA Less Than 50 Copies/mL at Week 48

The third posted primary analysis reports the percentage of participants with HIV-1 RNA less than 50 copies/mL at Week 48 using the same registered FDA Snapshot framework.

Week 48 response

63%

95% CI: 56% to 70%

Analysis population: ITT-E

FeatureReported result
EndpointNumber of Participants With HIV-1 RNA Less Than 50 Copies/mL at Week 48
Time frameWeek 48
Analysis populationITT-E Population
Effect measurePercentage of participants
Estimate63
95% CI56 to 70
Formal methodNot reported
Week 48 HIV-1 RNA <50 copies/mL
Dolutegravir
63%
Clinical Biostats interpretation

The reported estimate means that 63% of participants met the HIV-1 RNA threshold of less than 50 copies/mL at Week 48 under the registered Snapshot algorithm.

Again, this is a descriptive response proportion within the single dolutegravir study arm. It does not establish a treatment difference because VIKING-3 does not contain a separate randomized comparator group.

The 95% CI of 56% to 70% provides an interval measure of precision around the reported percentage. A confidence interval is not a range of outcomes that individual participants should be expected to experience.

No formal inferential method is reported for this endpoint in the ClinicalTrials.gov record. Consequently, this page does not infer an unreported hypothesis test or confidence-interval construction method.

The Week 48 result also should not be interpreted independently of the endpoint's Snapshot definition. Missing or otherwise unavailable Week 48 HIV-1 RNA data under the specified conditions are handled as nonresponse rather than simply removed from the denominator.

10. Comparing the Three Primary Results

The three posted primary analyses address different statistical quantities and therefore should not be collapsed into a single measure of treatment effect.

EndpointEstimate95% CIP-valueMethod
Mean change from baseline in plasma HIV-1 RNA at Day 8 -1.432 log10 copies/mL -1.520 to -1.343 <0.001 2-sided t-test
HIV-1 RNA less than 50 copies/mL at Week 24 69% 62% to 76% Not reported Not reported
HIV-1 RNA less than 50 copies/mL at Week 48 63% 56% to 70% Not reported Not reported

The Day 8 endpoint is a continuous change score, whereas the Week 24 and Week 48 endpoints are binary responder outcomes. The Day 8 analysis therefore summarizes a mean change, while the later endpoints summarize the proportion classified as responders according to the registered Snapshot algorithm.

Do not interpret 69% versus 63% as a formal decline test. The registry reports separate point estimates at Week 24 and Week 48, but the statistical analyses posted on ClinicalTrials.gov do not report a formal hypothesis test comparing those two percentages. A visual difference between estimates is not, by itself, a statistical comparison.

11. Safety Results

Safety was included among the registered primary endpoints. The trial data provide a serious-adverse-event summary for the dolutegravir 50 mg BID arm: 46/183.

Serious adverse events

46/183

Dolutegravir 50 mg BID

Safety measureDolutegravir 50 mg BID
Participants with serious adverse events46/183
Study design contextSingle-group
Comparator armNone reported

The registry also lists primary safety endpoints covering any AE or SAE, AE severity according to the DAIDS grading scale, clinical chemistry toxicities, and hematology toxicities. The ClinicalTrials.gov record does not provide formal comparative analyses for these safety endpoints.

Safety interpretation: the value 46/183 describes the reported number affected and the corresponding at-risk population for the dolutegravir arm. Because there is no comparator arm, it cannot establish that the observed serious-adverse-event frequency is higher or lower than under another treatment.

12. Statistical Methods Explained

Why was a t-test used for the Day 8 endpoint?

The Day 8 outcome is a continuous mean change in plasma HIV-1 RNA, expressed in log10 copies/milliliter. The registry specifically reports a two-sided t-test. In a single-group setting, a t-test can be used to evaluate a sample mean against a specified reference value.

What does a mean change of -1.432 mean?

It means the estimated average change from baseline was negative 1.432 log10 copies/mL. The sign communicates direction on the logarithmic measurement scale. It is not itself a percentage, a hazard ratio, or a relative risk.

What does the 95% CI of -1.520 to -1.343 tell us?

It describes the uncertainty around the estimated mean change using the reported statistical framework. The interval is narrower than the set of all possible individual participant changes because it concerns the estimated population mean rather than individual variability.

Why does P < 0.001 not tell us how large the effect is?

A p-value measures evidence against a null hypothesis under the specified statistical model. It depends on both the magnitude of the observed result and its statistical uncertainty. Consequently, a small p-value does not provide a standardized measure of clinical magnitude. The estimate and its confidence interval are needed to understand the size and precision of the result.

What does the 69% Week 24 estimate represent?

It represents the percentage of participants with HIV-1 RNA less than 50 copies/mL at Week 24 under the FDA Snapshot algorithm. It is a response proportion, not a relative treatment effect, because there is only one study arm.

Why is the Snapshot algorithm important?

The endpoint definition determines who is classified as a responder. Under the registered rules, participants without the required HIV-1 RNA data because of missing data or discontinuation before the visit window are treated as nonresponders, as are participants handled as nonresponders because of treatment switching under the algorithm. Therefore, the analysis incorporates more than observed laboratory values among completers.

Why can the Week 24 and Week 48 percentages not simply be compared as a hypothesis test?

The registry reports estimates and confidence intervals for each time point, but the ClinicalTrials.gov record does not report a formal method for comparing the two percentages. The difference between two descriptive estimates should not be converted into a claim of statistically significant change without an appropriate paired or longitudinal analysis and its corresponding assumptions.

13. Understanding the Single-Group Design

One of the most important statistical features of VIKING-3 is its single-group design. In a randomized controlled trial, the central estimand is usually a contrast between treatment groups. Here, the registry instead reports outcomes within the dolutegravir group.

What the design can estimate

Mean change in HIV-1 RNA and the percentage of participants meeting the prespecified HIV-1 RNA threshold at specified time points.

What the design does not estimate

A randomized treatment-versus-control difference, relative risk versus a comparator, or hazard ratio between treatment groups.

Why this matters

Without a concurrent comparator, changes over time cannot be separated as cleanly from secular trends, background treatment effects, or other changes occurring during follow-up.

How to read the reported superiority label

The registry labels the posted analyses as superiority analyses, but the design model remains single-group. The label should therefore not be interpreted as evidence of superiority over an unreported comparator.

14. Missing Data and Carry-Forward Rules

VIKING-3 provides an unusually useful teaching example for distinguishing different approaches to missing data because the registered endpoint definitions explicitly describe different rules.

EndpointRegistered missing-data approach
Day 8 mean change Last observation was carried forward if a participant missed the Day 8 visit; baseline was carried forward if treatment was discontinued before Day 8.
Week 24 responder status FDA Snapshot algorithm; participants without HIV-1 RNA data at the visit of interest due to specified missingness/discontinuation conditions were treated as nonresponders.
Week 48 responder status FDA Snapshot algorithm; participants without HIV-1 RNA data at the visit of interest due to specified missingness/discontinuation conditions were treated as nonresponders.

These approaches have different statistical implications. Carrying forward an earlier observation substitutes an observed value for an unobserved later measurement, whereas Snapshot classification converts the absence of the required outcome into a responder/nonresponder classification. Neither should be described simply as "ignoring missing data."

Educational caution: last-observation-carried-forward is an imputation rule, not a statement that the participant's unobserved value truly remained unchanged. Its validity depends on assumptions about the relationship between observed and unobserved outcomes.

15. Confidence Intervals Across the Primary Endpoints

The three primary analyses illustrate how confidence intervals apply to different types of estimates.

EndpointEstimate95% CIWhat the interval describes
Day 8 mean change -1.432 -1.520 to -1.343 Uncertainty around the estimated mean change in log10 HIV-1 RNA.
Week 24 response 69% 62% to 76% Uncertainty around the estimated response percentage.
Week 48 response 63% 56% to 70% Uncertainty around the estimated response percentage.

The intervals should not be compared solely by their amount of overlap or width. They arise from different endpoints and different statistical quantities. A formal comparison between time points or between parameters would require its own analysis.

16. P-values and Statistical Evidence

Only the Day 8 mean-change analysis has a p-value in the ClinicalTrials.gov record: P < 0.001. The Week 24 and Week 48 analyses report estimates and 95% confidence intervals but no p-values.

What the p-value addresses

For the Day 8 analysis, the reported two-sided t-test supplies a measure of evidence relative to its unspecified null/reference value.

What it does not address

It does not quantify clinical importance, establish a treatment-versus-control difference, or describe the probability that the null hypothesis is true.

The absence of a reported p-value for Week 24 and Week 48 is not evidence that those endpoints were statistically significant or nonsignificant. It simply means the ClinicalTrials.gov record does not provide a formal p-value for those estimates.

17. Multiplicity, Interim Analysis, and Other Design Features

The ClinicalTrials.gov record identifies seven registered primary endpoints and three posted primary- endpoint statistical analyses. They do not provide a multiplicity-adjustment procedure, interim-analysis boundary, alpha-spending plan, non-inferiority margin, crossover scheme, factorial structure, stratification factors, or Bayesian analysis.

Design topicWhat the ClinicalTrials.gov record supports
MultiplicitySeven registered primary endpoints are listed; no multiplicity-adjustment method is reported in the ClinicalTrials.gov record.
Interim analysisNo interim-analysis procedure is reported in the ClinicalTrials.gov record.
Non-inferiority marginNot reported; the registry classifies the posted analyses as superiority.
CrossoverNo crossover design is reported.
Factorial designNo factorial structure is reported.
StratificationNo stratification factors are reported in the ClinicalTrials.gov record.
Bayesian methodsNo Bayesian method is reported.

These omissions are important because statistical interpretation should follow the documented analysis rather than fill gaps with assumptions. In particular, the presence of multiple registered primary endpoints does not by itself establish whether or how the type I error was controlled.

18. Statistical Analysis Summary

AnalysisPopulationMethodEstimate95% CIP-value
Day 8 mean change ITT-E; participants with Day 8 observations 2-sided t-test -1.432 -1.520 to -1.343 <0.001
Week 24 HIV-1 RNA <50 copies/mL ITT-E Not reported 69% 62% to 76% Not reported
Week 48 HIV-1 RNA <50 copies/mL ITT-E Not reported 63% 56% to 70% Not reported

19. Why the Endpoint Scale Matters

The Day 8 and later virologic endpoints use different scales. Day 8 measures a continuous change on the log10 scale, while Weeks 24 and 48 classify participants using a threshold of less than 50 copies/mL.

Continuous endpoint

The Day 8 analysis preserves quantitative information about the magnitude of change in HIV-1 RNA and summarizes it with a mean.

Binary endpoint

The Week 24 and Week 48 analyses convert viral-load information into responder versus nonresponder categories using a clinically specified threshold.

These endpoints answer complementary questions. A continuous change endpoint asks how much the measured outcome changed on average, while a binary endpoint asks how many participants crossed a prespecified threshold by a specified time.

20. Longitudinal Interpretation Without Overreach

The reported Day 8, Week 24, and Week 48 estimates can be read as three snapshots of the trial's prespecified outcomes, but they should not be treated as if they were one repeated-measures model.

Baseline → Day 8

Mean virologic change

The reported mean change was -1.432 log10 copies/mL, with a 95% CI of -1.520 to -1.343 and P < 0.001 using a 2-sided t-test.

Week 24

Threshold-based response

69% of participants were reported as having HIV-1 RNA less than 50 copies/mL, with a 95% CI of 62% to 76%.

Week 48

Threshold-based response

63% of participants were reported as having HIV-1 RNA less than 50 copies/mL, with a 95% CI of 56% to 70%.

The change in the reported percentages from Week 24 to Week 48 is descriptive. The ClinicalTrials.gov record does not provide a formal longitudinal model, paired comparison, or hypothesis test for the difference between those two time points.

21. Limitations

22. Why This Trial Matters Statistically

VIKING-3 is a useful statistical teaching case because it demonstrates how much the interpretation of a result depends on study architecture and endpoint definition. The registry contains a continuous endpoint analyzed with a t-test, binary virologic endpoints analyzed under a Snapshot framework, explicit missing-data rules, and a single-group design.

ConceptHow it appears in VIKING-3
Single-group analysisOne study arm with no separate randomized comparator.
Continuous endpointMean change from baseline in plasma HIV-1 RNA at Day 8.
Logarithmic measurement scaleDay 8 outcome reported in log10 copies/milliliter.
t-test2-sided t-test reported for the Day 8 mean change.
Confidence interval95% two-sided intervals reported for all three posted primary analyses.
P-valueP < 0.001 reported for the Day 8 analysis.
Binary endpointHIV-1 RNA less than 50 copies/mL at Weeks 24 and 48.
Snapshot algorithmMissing/discontinued participants are incorporated into responder classification according to the registered rules.
ITT-EPrimary analyses identify the Intent-to-Treat-Exposed population.
Missing-data handlingCarry-forward rules are specified for the Day 8 endpoint.
Safety endpointSerious adverse events reported as 46/183 in the dolutegravir 50 mg BID arm.

23. Statistical Methods vs Clinical Conclusions

What the statistics show

The registry reports a mean Day 8 HIV-1 RNA change of -1.432 log10 copies/mL, a Week 24 response estimate of 69%, and a Week 48 response estimate of 63%, each with a 95% confidence interval.

What they do not show

They do not provide a randomized comparison with another treatment, because VIKING-3 is a single-group study.

This distinction is central to interpreting single-arm clinical trials. A large observed response proportion can be clinically informative, but causal attribution to the intervention is stronger when a concurrent comparator establishes what would have happened under an alternative treatment or control condition.

24. Related Tutorials

Learn more about the methods used in this trial:

25. Related Statistical Calculators

26. Sources

Continue through the Clinical Biostats statistical library

Explore tutorials and calculators for confidence intervals, intention-to-treat analysis, p-values, and t-tests—the core statistical concepts illustrated by VIKING-3.

27. Record Summary

VIKING-3 illustrates how to interpret clinical-trial results when the design is single-group rather than randomized and comparative. The registry reports three primary statistical analyses: a Day 8 mean change in plasma HIV-1 RNA of -1.432 log10 copies/mL with a 95% CI of -1.520 to -1.343 and P < 0.001; a Week 24 HIV-1 RNA response estimate of 69% with a 95% CI of 62% to 76%; and a Week 48 response estimate of 63% with a 95% CI of 56% to 70%. The Day 8 analysis used a reported 2-sided t-test, while the formal methods for the Week 24 and Week 48 estimates were not reported in the ClinicalTrials.gov record.

The most important statistical lesson is that an estimate must always be interpreted in the context of its design, endpoint definition, analysis population, missing-data rules, and comparator structure. VIKING-3's single-group design means its reported percentages and mean changes describe outcomes within the treated cohort rather than randomized treatment effects.

Clinical Biostats methodology: A trial-results page should distinguish reported numerical evidence from statistical interpretation. For VIKING-3, that means preserving the registry's endpoint definitions and estimates while avoiding unsupported comparative claims, unreported statistical methods, or numerical results outside the ClinicalTrials.gov record.