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Atopic Dermatitis Phase 3 Three-Arm, Placebo-Controlled NCT03349060

JADE Mono-1: Complete Statistical Analysis of PF-04965842 in Moderate to Severe Atopic Dermatitis

An independent statistical review of the randomized, quadruple-masked phase 3 JADE Mono-1 trial comparing PF-04965842 100 mg and 200 mg with placebo in participants aged 12 years and older with moderate to severe atopic dermatitis, with a focus on stratified risk differences, the Cochran-Mantel-Haenszel framework, repeated-measures modelling and missing-data handling.

Sponsor: Pfizer  ·  Study start: December 2017  ·  Primary completion: March 2019  ·  Status: Completed
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. Reported results are separated from statistical interpretation, and each estimate is labelled with its comparison, analysis population and time point.

1. Trial at a Glance

JADE Mono-1 was a randomized, parallel-group, quadruple-masked phase 3 trial testing whether two oral doses of PF-04965842 (100 mg and 200 mg) produced higher rates of skin clearance and extent-of-disease improvement than placebo after 12 weeks in adolescents and adults with moderate to severe atopic dermatitis.

387
Enrolled
156 / 154 / 77 at risk for AEs
3
Arms
100 mg, 200 mg, placebo
36
IGA response diff.
200 mg vs placebo, 95% CI 26.2–45.7
51
EASI-75 diff.
200 mg vs placebo, 95% CI 40.5–61.5
FeatureJADE Mono-1
PhasePhase 3
PopulationParticipants aged 12 years and older with moderate to severe atopic dermatitis
DesignRandomized, parallel-group, quadruple-masked, placebo-controlled
ArmsPF-04965842 100 mg; PF-04965842 200 mg; placebo
Enrollment387 participants
Primary endpointsIGA response of clear (0) or almost clear (1) with ≥2-point improvement at Week 12; EASI-75 response at Week 12
Primary analysis methodCochran-Mantel-Haenszel risk difference, adjusted for randomization strata
Key datesStart 2017-12-07; primary completion 2019-03-26
ClinicalTrials.govNCT03349060
SponsorPfizer (industry)

2. Clinical Question

The trial asked whether once-daily oral PF-04965842, at either of two doses, increased the proportion of participants achieving clinically meaningful skin improvement at Week 12, measured by both a global physician rating (IGA) and a composite extent-and-severity index (EASI), compared with placebo.

Population

Participants aged 12 years and older with moderate to severe atopic dermatitis.

Intervention

PF-04965842 100 mg or PF-04965842 200 mg, given as monotherapy in two separate randomized arms.

Comparator

Matching placebo.

Primary question

Does each PF-04965842 dose increase the Week 12 IGA response rate and the Week 12 EASI-75 response rate relative to placebo?

3. Trial Design

01
ScreenModerate to severe AD, age ≥12
02
Randomize387 participants, stratified
03
Treat100 mg, 200 mg or placebo
04
AssessWeeks 2, 4, 8
05
PrimaryIGA and EASI-75 at Week 12
ARM 1 · 156 at risk

PF-04965842 100 mg

  • Oral PF-04965842 100 mg
  • Compared with placebo for each endpoint
ARM 2 · 154 at risk

PF-04965842 200 mg

  • Oral PF-04965842 200 mg
  • Compared with placebo for each endpoint
ARM 3 · 77 at risk

Placebo

  • Matching placebo
  • Shared control group for both dose comparisons
MASKING

Quadruple masking

  • Participants, care providers, investigators and outcome assessors masked
  • Important because IGA and EASI are clinician-rated scales
A shared placebo arm. Both active doses are compared against the same placebo group. The two dose-versus-placebo comparisons are therefore positively correlated: any chance imbalance in the placebo group's response rate moves both estimated differences in the same direction. The placebo group, with 77 participants at risk in the adverse-event tables, is also roughly half the size of each active arm, so the placebo response rate is the less precisely estimated component of every difference.

4. Randomization, Stratification, and Analysis Populations

The registry identifies the randomization strata as baseline disease severity and age category. These strata were carried into the analyses: the binary endpoints were analysed with a Cochran-Mantel-Haenszel risk difference that weights stratum-specific differences, and the continuous pruritus-symptom score was analysed with a mixed model that included the strata as fixed factors.

Analysis populationRegistry definitionRole
Full analysis set (FAS)All randomized participants who received at least 1 dose of study medicationPrimary and most secondary efficacy analyses
Per-protocol analysis set (PPAS)All randomized participants who received at least 1 dose and had no major protocol violationsSupportive analyses for pruritus endpoints
Adverse-event populationParticipants at risk: 156 (100 mg), 154 (200 mg), 77 (placebo)Safety summaries

The FAS is a modified intention-to-treat population: it keeps participants in their randomized arm but requires at least one dose. Because 156 + 154 + 77 equals the enrollment of 387, the at-risk counts suggest that essentially all enrolled participants contributed to safety, which limits the practical gap between the FAS and a strict all-randomized population.

5. Endpoints

Primary endpoints (registry wording, shortened)

EndpointDefinitionTime frame
IGA responsePercentage of participants achieving Investigator's Global Assessment of clear (0) or almost clear (1) and ≥2-point improvement from baseline. IGA is a 5-point scale (0–4; higher = more severe); sole, palms and scalp excluded.Baseline, Week 12
EASI-75 responsePercentage of participants achieving ≥75% improvement from baseline in the Eczema Area and Severity Index. EASI combines severity of erythema, induration/papulation, excoriation and lichenification with % body surface area across four body regions; total range 0.0–72.0 (higher = more severe); scalp, palms and soles excluded.Baseline, Week 12
EASI construction (registry definition)
EASI = 0.1·Ah(E+I+Ex+L)h + 0.2·Au(E+I+Ex+L)u + 0.3·At(E+I+Ex+L)t + 0.4·Al(E+I+Ex+L)l

Each sign (E, I, Ex, L) is scored 0–3 per region; area score A is 0–6; region weights reflect head and neck (h), upper limbs (u), trunk (t) and lower limbs (l). EASI-75 dichotomizes the percentage change from baseline at a 75% threshold.

Secondary endpoints with posted analyses

EndpointTypeTime framePopulation
≥4-point improvement in pruritus Numerical Rating Scale (NRS)Binary responderWeeks 2, 4, 8, 12 (FAS); Weeks 2, 4, 12 (PPAS)FAS and PPAS
Change from baseline in Pruritus and Symptoms Assessment for Atopic Dermatitis (PSAAD) total scoreContinuousWeeks 2, 4, 8, 12 (FAS); Week 12 (PPAS)FAS and PPAS
EASI-75 response at earlier visitsBinary responderWeeks 2, 4, 8FAS
IGA response at earlier visitsBinary responderWeeks 2, 4, 8FAS

The ClinicalTrials.gov record contains many further secondary and other analyses beyond those summarized here.

6. Primary Endpoint Results: IGA Response at Week 12

Both doses were compared with placebo using a Cochran-Mantel-Haenszel approach. The registry describes the estimate and confidence interval as a weighted average of the stratum-specific differences in response percentage, using the normal approximation to binomial proportions. Arm-level response percentages are not reproduced here; the effect measure is the difference in percentage points.

IGA response difference vs placebo, Week 12

15.8  ·  36.0

100 mg: 15.8 percentage points (95% CI 6.8–24.8)  ·  P = 0.0037

200 mg: 36.0 percentage points (95% CI 26.2–45.7)  ·  P < 0.0001

Week 12 IGA response, difference from placebo (percentage points)
PF-04965842 200 mg
36
PF-04965842 100 mg
15.8
Clinical Biostats interpretation

What the estimate means. A difference of 36.0 for 200 mg means that, after weighting across randomization strata, the estimated proportion of participants reaching IGA clear/almost clear with ≥2-point improvement was 36.0 percentage points higher than with placebo. This is an absolute difference; for 100 mg the corresponding figure is 15.8 percentage points.

What it does not mean. It is not a 36% relative increase, and it does not mean that 36% of participants responded. Without the arm-level rates, the ratio of response rates cannot be read from this number. It also does not describe how much an individual's IGA score changed, because the endpoint is a dichotomy.

Precision. The 100 mg interval (6.8 to 24.8) is roughly 18 points wide and the 200 mg interval (26.2 to 45.7) roughly 19.5 points wide. Both exclude zero, but they are wide relative to the estimates, largely reflecting the smaller placebo arm. The intervals do not overlap, which is consistent with a dose gradient, though a formal dose-versus-dose comparison is not among the posted analyses.

Why the p-value is not the effect size. P = 0.0037 and P < 0.0001 indicate how incompatible the data are with a zero difference under the model; they do not rank clinical importance. The effect size is carried by the 15.8 and 36.0 point estimates and their intervals.

Cautions. There are four primary comparisons (two doses × two endpoints). The registry lists each as a superiority test but does not describe the multiplicity procedure, so each p-value should be read as part of a family of tests. The analysis population is the FAS (randomized and dosed), and the normal approximation for a stratified difference may be less accurate in small strata with low response counts.

7. Primary Endpoint Results: EASI-75 at Week 12

EASI-75 response difference vs placebo, Week 12

27.9  ·  51.0

100 mg: 27.9 percentage points (95% CI 17.4–38.3)  ·  P < 0.0001

200 mg: 51.0 percentage points (95% CI 40.5–61.5)  ·  P < 0.0001

Week 12 EASI-75 response, difference from placebo (percentage points)
PF-04965842 200 mg
51
PF-04965842 100 mg
27.9
Primary endpointComparisonDifference (pp)95% CIP-value
IGA response, Week 12100 mg vs placebo15.86.8 to 24.80.0037
IGA response, Week 12200 mg vs placebo3626.2 to 45.7<0.0001
EASI-75, Week 12100 mg vs placebo27.917.4 to 38.3<0.0001
EASI-75, Week 12200 mg vs placebo5140.5 to 61.5<0.0001
Clinical Biostats interpretation

What the estimate means. For 200 mg, the stratum-weighted proportion achieving at least a 75% reduction in EASI was estimated to be 51.0 percentage points higher than with placebo; for 100 mg, 27.9 points higher.

What it does not mean. It does not mean that participants' EASI scores fell by 51% on average, nor that 51% of treated participants responded. EASI-75 is a threshold on percentage change, so a participant improving by 74% counts the same as one improving by 0%.

Precision. Each interval spans roughly 21 percentage points. Even the lower bounds (17.4 for 100 mg and 40.5 for 200 mg) are well above zero, so the direction of effect is clearly estimated, but the magnitude is only known to within about ±10 points.

Why the p-value is not the effect size. Three of the four primary comparisons are reported as P < 0.0001. That shared label hides large differences in magnitude (27.9 vs 51.0 for EASI-75); the estimates and intervals, not the p-values, describe how much benefit was observed.

Cautions. EASI-75 and IGA response are both clinician-rated and are likely to be strongly correlated within participants, so the two primary endpoints are not independent confirmations. EASI-75 differences are numerically larger than IGA differences partly because the two thresholds define success differently; the two numbers are not directly comparable measures of the same quantity.

8. Secondary Results: Time Course of IGA and EASI-75 Response

The registry posts the same CMH risk-difference analysis at Weeks 2, 4 and 8. Read together with the Week 12 primary results, these describe how quickly the treatment differences emerged.

EndpointWeek100 mg vs placebo: diff. (95% CI), P200 mg vs placebo: diff. (95% CI), P
IGA response23.9 (−0.7 to 8.5), P = 0.08029.8 (4.0 to 15.7), P = 0.0045
IGA response45.2 (−1.9 to 12.4), P = 0.188821.7 (13.0 to 30.5), P < 0.0001
IGA response813.8 (5.2 to 22.4), P = 0.007129.3 (19.8 to 38.7), P < 0.0001
IGA response12 (primary)15.8 (6.8 to 24.8), P = 0.003736.0 (26.2 to 45.7), P < 0.0001
EASI-7526.5 (−0.3 to 13.3), P = 0.086920.3 (12.0 to 28.6), P = 0.0001
EASI-75413.1 (2.6 to 23.6), P = 0.025933.0 (21.7 to 44.2), P < 0.0001
EASI-75825.0 (14.2 to 35.8), P = 0.000144.6 (33.6 to 55.6), P < 0.0001
EASI-7512 (primary)27.9 (17.4 to 38.3), P < 0.000151.0 (40.5 to 61.5), P < 0.0001

For 200 mg, every posted difference has a confidence interval excluding zero from Week 2 onward. For 100 mg, the Week 2 IGA and EASI-75 intervals and the Week 4 IGA interval include zero. This pattern is consistent with a slower or smaller early response at the lower dose; it should not be read as evidence that the 100 mg dose "did not work" at those visits, because a non-significant result is not a demonstration of no effect.

EASI-75 difference from placebo by week, 200 mg (percentage points)
Week 2
20.3
Week 4
33
Week 8
44.6
Week 12
51

9. Secondary Results: Pruritus NRS Responders (≥4-Point Improvement)

For the pruritus NRS responder endpoint the registry describes a different analysis path from the skin endpoints: missing values were multiply imputed, each completed dataset was analysed with the CMH risk-difference method adjusting for randomization strata, separately for each week, and the results were combined with Rubin's rules to obtain the treatment difference, 95% CI and p-value. Results are posted for both the FAS and the PPAS.

WeekPopulation100 mg vs placebo: diff. (95% CI), P200 mg vs placebo: diff. (95% CI), P
2FAS18.0 (10.2 to 25.8), P = 0.000442.5 (33.6 to 51.4), P < 0.0001
4FAS15.0 (1.9 to 28.0), P = 0.025141.1 (27.8 to 54.4), P < 0.0001
8FAS20.0 (7.4 to 32.7), P = 0.001945.3 (32.7 to 57.8), P < 0.0001
12FAS22.5 (10.3 to 34.8), P = 0.000341.7 (29.6 to 53.9), P < 0.0001
2PPAS16.3 (7.4 to 25.2), P = 0.005543.3 (33.1 to 53.6), P < 0.0001
4PPAS12.5 (−3.0 to 28.0), P = 0.113841.8 (26.2 to 57.4), P < 0.0001
12PPAS28.7 (15.3 to 42.1), P < 0.000147.8 (34.6 to 61.1), P < 0.0001
FAS versus PPAS at Week 4: the 100 mg comparison is 15.0 (1.9 to 28.0), P = 0.0251 in the FAS but 12.5 (−3.0 to 28.0), P = 0.1138 in the PPAS. The point estimates are similar; the PPAS interval is wider and crosses zero. This illustrates why the crossing of a 0.05 threshold is a fragile summary: a modest change in the analysis population shifts the p-value across the threshold while the estimated effect changes by only 2.5 percentage points.

Notably, the 200 mg pruritus difference is already 42.5 percentage points at Week 2 in the FAS, a larger early separation than either skin endpoint at the same visit. Itch is a patient-reported outcome, so this endpoint adds a dimension the clinician-rated primary endpoints cannot capture.

10. Secondary Results: PSAAD Total Score (MMRM)

The PSAAD total score is a continuous, patient-reported symptom measure, and the effect measure is a difference in least squares (LS) mean change from baseline. The registry describes a mixed model for repeated measures (MMRM) with fixed factors for treatment, week, treatment-by-week interaction, randomization strata (baseline disease severity and age category) and baseline value, using an unstructured covariance matrix. Negative differences favour PF-04965842 (greater symptom reduction).

WeekPopulation100 mg vs placebo: LS mean diff. (95% CI), P200 mg vs placebo: LS mean diff. (95% CI), P
2FAS−1.0 (−1.4 to −0.6), P < 0.0001−1.6 (−2.0 to −1.2), P < 0.0001
4FAS−1.1 (−1.6 to −0.6), P < 0.0001−2.2 (−2.8 to −1.7), P < 0.0001
8FAS−0.9 (−1.5 to −0.3), P = 0.0035−1.9 (−2.5 to −1.3), P < 0.0001
12FAS−1.1 (−1.7 to −0.4), P = 0.0010−2.1 (−2.7 to −1.4), P < 0.0001
12PPAS−1.3 (−2.0 to −0.6), P = 0.0002−2.3 (−3.0 to −1.6), P < 0.0001

These differences are in scale units, not percentage points, and the registry entries here do not state the PSAAD scale range or a minimal clinically important difference. Their magnitude therefore cannot be judged from the numbers alone; what can be said is that the 200 mg differences are consistently about twice the 100 mg differences at each visit, and the intervals for both doses exclude zero at every posted week.

11. Safety: Serious Adverse Events

ArmParticipants with serious adverse eventsParticipants at risk
PF-04965842 100 mg5156
PF-04965842 200 mg5154
Placebo377

Serious adverse events were infrequent in all three arms. With only 5, 5 and 3 affected participants, any between-arm comparison of serious adverse event rates is extremely imprecise; a 12-week trial of this size is not designed to detect differences in uncommon serious events, and the absence of an apparent imbalance should not be read as evidence of equivalent safety.

12. Statistical Methodology

Cochran-Mantel-Haenszel risk difference

The binary endpoints were analysed with a CMH approach adjusting for the randomization strata. Within each stratum k, the difference in response proportions is computed, and these are combined into a weighted average. The registry specifies that the confidence interval uses the normal approximation to binomial proportions.

Conceptual form
RDCMH = Σk wk (p̂T,k − p̂P,k) / Σk wk,    wk = nT,k nP,k / (nT,k + nP,k)

where p̂T,k and p̂P,k are the response proportions in the treatment and placebo groups within stratum k. The weights shown are the commonly used CMH weights; they give more influence to strata with more balanced and larger sample sizes.

Mixed model for repeated measures

The PSAAD analysis used an MMRM with treatment, week, treatment-by-week, strata and baseline score as fixed effects, and an unstructured covariance matrix for the within-participant correlation across visits. Including baseline value is an ANCOVA-style adjustment that improves precision; the treatment-by-week interaction allows a separate treatment effect at each visit.

Conceptual form
ΔYij = μ + τtrt + ωweek j + (τω)trt×week + γstrata + β·Yi0 + εij,   εi ~ N(0, Σunstructured)

MMRM uses all observed visits for each participant and is valid under a missing-at-random assumption without explicit imputation.

Multiple imputation with Rubin's rules

For the pruritus NRS responder endpoint, missing responses were multiply imputed. Each completed dataset was analysed with the stratified CMH method, and estimates were pooled. Rubin's rules combine the average within-imputation variance with the between-imputation variance, so the final confidence interval reflects uncertainty due to missing data.

Rubin's rules
Q̄ = (1/m) Σ Qi;   T = Ū + (1 + 1/m)·B

Qi is the estimate from imputed dataset i, Ū is the mean within-imputation variance, and B is the between-imputation variance across the m datasets.

Analysis populations and hypotheses

All posted comparisons are labelled as superiority tests with two-sided 95% confidence intervals. Primary efficacy used the FAS; the PPAS served as a supportive sensitivity population for pruritus endpoints. The registry does not describe interim analyses, and the multiplicity strategy for the four primary comparisons and the secondary endpoints is not described in the record.

13. Statistical Methods Explained

Why use a Cochran-Mantel-Haenszel risk difference rather than a simple difference in proportions?

Randomization was stratified by baseline disease severity and age category. Response rates may differ substantially between strata (for example, between more and less severe disease), and the CMH approach estimates the treatment difference within each stratum before combining them. This respects the design, protects against chance imbalance across strata, and typically gives a more precise estimate than an unstratified comparison.

What does a risk difference of 51.0 percentage points mean?

It is an absolute difference in the proportion of responders. If the weighted EASI-75 response rate in the 200 mg arm exceeded placebo by 51.0 percentage points, then, on average, about 51 additional participants per 100 treated reached EASI-75 compared with placebo. Its reciprocal gives an approximate number needed to treat, but this should be computed with care because the interval for the difference also implies an interval for that number.

Why do the pruritus responder analyses use multiple imputation while the PSAAD analyses use MMRM?

A responder endpoint is a yes/no outcome at a single visit; a participant with a missing diary value has no observed response, so the analysis must either impute it or assign an outcome by rule. Multiple imputation generates plausible values several times, reflecting uncertainty. A continuous repeated outcome such as PSAAD can instead be modelled directly with MMRM, which uses all available visits and handles missing data under a missing-at-random assumption without imputing.

Why can the same effect be "significant" in the FAS but not in the PPAS?

At Week 4, the 100 mg pruritus difference was 15.0 in the FAS (P = 0.0251) and 12.5 in the PPAS (P = 0.1138). The PPAS excludes participants with major protocol violations, reducing sample size and widening the interval, and the point estimate itself moved slightly. Neither population is "the truth": the FAS better preserves randomization, while the PPAS asks what happens among participants who followed the protocol. Consistency of direction and magnitude across both is more informative than the 0.05 threshold in either.

Why does a smaller placebo arm matter?

The variance of a difference in proportions is the sum of the variances in each arm. With 77 participants at risk in the placebo arm versus about twice that in each active arm, the placebo rate contributes disproportionately to the uncertainty. Unequal allocation gives more participants access to active treatment and more information about the active drug's safety, at some cost in precision for each comparison.

Do four primary comparisons require a multiplicity adjustment?

With two doses and two co-primary endpoints, testing each at an unadjusted two-sided 0.05 level would inflate the chance of at least one false-positive claim. A trial of this design would ordinarily prespecify a procedure such as hierarchical testing or alpha splitting; the ClinicalTrials.gov record does not describe it. Because all four p-values are 0.0037 or smaller, the conclusions here are unlikely to be sensitive to reasonable adjustment, but formal conclusions should rest on the prespecified procedure.

14. Limitations and Interpretation Issues

15. Why This Trial Matters Statistically

JADE Mono-1 is a compact illustration of how modern dermatology trials analyse binary responder endpoints alongside continuous patient-reported outcomes, and how analysis choices are tied to the randomization design.

ConceptHow it appears in JADE Mono-1
Stratified randomizationStrata for baseline disease severity and age category carried into every posted analysis
Risk differencePrimary effect measure: difference in percentage of responders versus placebo
Cochran-Mantel-HaenszelStratum-weighted risk difference with normal-approximation confidence intervals
Mixed model for repeated measuresPSAAD change from baseline with treatment-by-week interaction and unstructured covariance
Baseline adjustmentBaseline value included as a covariate in the MMRM
Multiple imputationMissing pruritus responses imputed and pooled with Rubin's rules
Analysis populationsFull analysis set for primary efficacy; per-protocol set for supportive pruritus analyses
Multi-arm designTwo doses against a shared placebo arm with unequal group sizes
MultiplicityFour primary comparisons and many secondary analyses across weeks and populations

16. Related Tutorials

Learn more about the methods used in this trial:

17. Related Calculators

18. Sources

Explore the methods behind the results

Each trial's endpoints and analyses connect to deeper statistical tutorials and to calculators for working through the same methods.

19. Record Summary

In JADE Mono-1, both PF-04965842 doses produced higher Week 12 IGA and EASI-75 response rates than placebo, with stratum-weighted risk differences of 15.8 and 36.0 percentage points for IGA and 27.9 and 51.0 percentage points for EASI-75 (100 mg and 200 mg respectively), and confidence intervals excluding zero for all four primary comparisons. Secondary pruritus and symptom endpoints moved in the same direction, with consistently larger differences at 200 mg. The most useful interpretation combines absolute risk differences, their confidence intervals, the time course across visits, the sensitivity to analysis population, and the design features — stratification, a shared placebo arm and missing-data methods — that shape how these numbers should be read.

Clinical Biostats methodology: A trial-results page should not merely repeat the registry entry. The goal is to reconstruct the statistical story of the trial in a standardized format while clearly separating reported evidence from educational interpretation.