Previously Treated Metastatic NSCLC
Phase 2
NCT00238849

ELVIS: Complete Statistical Analysis of Oxaliplatin and Navelbine in Advanced NSCLC

An independent statistical review of the phase II ELVIS study evaluating oxaliplatin and Navelbine for second-line treatment of advanced non-small cell lung cancer.

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

The ELVIS study was a phase II study of oxaliplatin and Navelbine for second-line treatment of advanced NSCLC. The registry describes the study as a treatment trial with a single-group design.

FeatureELVIS
PhasePhase 2
PopulationPreviously Treated Metastatic Non-Small Cell Lung Cancer
Enrollment40
AllocationNon-randomized
Design modelSingle group
MaskingNone
Primary purposeTreatment
InterventionOxaliplatin (drug)
Lead sponsorIntegrated Community Oncology Network
ClinicalTrials.govNCT00238849

2. Clinical Question

Population

Patients with previously treated metastatic non-small cell lung cancer.

Intervention

Oxaliplatin (drug).

Comparator

No comparator arm was registered.

Primary question

The registry identified efficacy as the primary endpoint.

3. Trial Design

The ELVIS trial used a non-randomized, single-group phase II design. Because there was no randomized comparator, statistical interpretation focuses on the assessment of outcomes within the treated study population rather than a direct treatment-effect comparison.

Design elementDescription
AllocationNON_RANDOMIZED
Design modelSINGLE_GROUP
MaskingNONE
Enrollment40

4. Endpoints

EndpointRegistry definition
EfficacyPrimary endpoint

The ClinicalTrials.gov record identifies efficacy as the registered primary endpoint. Additional endpoint definitions and time frames are not reported in the registry information reviewed here.

5. Planned Analysis

The registry does not contain posted statistical analyses or efficacy results for ELVIS.

For a single-group phase II efficacy study, statistical analysis would typically summarize observed clinical outcomes and estimate uncertainty around those observations. Depending on the endpoint definition, methods could include response proportions with confidence intervals, time-to-event summaries using Kaplan-Meier estimation, or descriptive safety summaries.

Interpretation of a single-group phase II design

Without randomization or a concurrent comparator, observed outcomes cannot by themselves establish whether differences are caused by the intervention rather than patient characteristics, disease history, selection effects, or other factors.

6. Statistical Methodology

Single-group phase II analysis

Single-group studies are commonly designed to evaluate whether a treatment demonstrates sufficient activity to justify additional investigation. The statistical question is usually framed around whether observed activity meets a predefined threshold rather than whether one treatment is superior to another randomized treatment.

Confidence intervals

Confidence intervals provide information about uncertainty around estimated quantities. They are particularly important in smaller phase II studies because estimates may be imprecise when based on limited numbers of patients.

Time-to-event analysis

If efficacy outcomes involve survival or progression times, Kaplan-Meier methods are commonly used because they account for patients whose event times are not observed during follow-up.

7. Statistical Methods Explained

Why does a single-group study not provide a treatment comparison?

A single-group design measures what happened after treatment exposure but does not include a randomized control condition. A difference from historical expectations may reflect treatment effects, but it may also reflect differences in patient populations or study conduct.

Why are confidence intervals important?

A point estimate alone does not describe precision. Confidence intervals show the range of values compatible with the observed data under the statistical model.

Why is sample size important in phase II trials?

With enrollment of 40 participants, estimates may have substantial uncertainty. Smaller studies are often intended for preliminary evaluation rather than definitive confirmation.

Why is randomization important?

Randomization helps balance known and unknown prognostic factors between groups, allowing stronger causal interpretation of treatment differences.

What does an efficacy endpoint measure?

An efficacy endpoint defines the outcome used to evaluate whether a treatment demonstrates activity or benefit according to the study objectives.

8. Limitations

9. Why This Trial Matters Statistically

ELVIS illustrates the statistical role of early-phase clinical trials. Phase II studies often serve as an intermediate step between initial safety evaluation and larger comparative trials.

ConceptHow it appears in ELVIS
Phase II designEvaluation of treatment activity
Single-group designOutcomes measured without randomized comparator
Non-randomizationLimits causal comparison
Efficacy endpointPrimary registry endpoint

10. Sources