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Cataract Phase 3 Binary Endpoint NCT04246801

Clobetasol Propionate Ophthalmic Nanoemulsion 0.05% for the Treatment of Inflammation and Pain Associated With Cataract Surgery (CLOSE-1): Complete Statistical Analysis

The registry record describes a randomized, double-masked, placebo-controlled trial of clobetasol propionate ophthalmic nanoemulsion after cataract surgery. The posted results compare the proportion with no anterior chamber cells at Day 8 and include a secondary pain measure and adverse-event counts.

Trial start: 2020-06-10  ·  Enrollment: 250  ·  Sponsor: Salvat
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 restricted to the results posted in the ClinicalTrials.gov record; calculations added by Clinical Biostats are labelled as such.

1. Trial at a Glance

This page covers the registry results for Clobetasol Propionate Ophthalmic Nanoemulsion 0.05% for the Treatment of Inflammation and Pain Associated With Cataract Surgery (CLOSE-1) (NCT04246801), a randomized phase 3 study. The primary outcome is Anterior Chamber Cell Grade.

250
Enrollment
Phase 3
2
Arms
In the primary outcome
+21.3 pts
Risk difference
Clobetasol Propionate
7.9 to 34.8 pts
95% CI
Two-sided
FeatureRegistry value
ClinicalTrials.gov identifierNCT04246801
PhasePhase 3
ConditionCataract
AllocationRandomized
Design modelParallel
MaskingDouble
Enrollment250
Arms in the primary outcome2
Lead sponsorSalvat
Results postedYes

2. Clinical Question

Population

Participants undergoing routine unilateral cataract surgery were eligible for the comparison if they experienced postoperative inflammation on the first day after surgery and met the other eligibility criteria. The registry identifies the condition as cataract and describes screening across centers in the US. Further eligibility details are not reported in the registry record.

Intervention

The intervention was clobetasol propionate ophthalmic nanoemulsion 0.05%. The registry describes a first dose at the baseline visit, followed by self-administration of one drop four times a day. Its study summary describes treatment during 14 days after surgery.

Comparator

The comparator was placebo, described in the registry as vehicle. Its description likewise specifies a first dose at the baseline visit and self-administration of one drop four times a day during 14 days. The trial was randomized and double-masked.

Primary question

The primary outcome was the proportion of participants in the FAS population with an anterior chamber cell grade of “0,” meaning absence of cells, at Day 8. The statistical comparison asks how that observed proportion differed between clobetasol and placebo among participants with a Day 8 assessment. It addresses this defined postoperative inflammation measure, not every aspect of recovery or safety.

3. Trial Design

This was a Phase 3, multicenter, randomized, double-masked, parallel-group trial comparing clobetasol propionate ophthalmic nanoemulsion 0.05% with placebo after routine unilateral cataract surgery. The registry lists the trial as completed and identifies Salvat as the sponsor. The record gives a start date of 2020-06-10 and a primary completion date of 2021-05-19.

The study summary describes random assignment in a 2:1 ratio among eligible participants who had postoperative inflammation on the first day after surgery. It states that 140 participants were planned for clobetasol and 70 for placebo, with screening across 20 centers in the US. The registry enrollment field, however, reports 250. These are different record entries: the enrollment field and the summary's planned enrollment are not the same figure.

The summary describes six visits: screening, baseline 24 hours after surgery, Day 3, Day 8, Day 15, and Day 29. The intervention descriptions specify one drop four times a day, and the summary describes treatment for 14 days. Posted primary-outcome denominators are 139 for clobetasol and 67 for placebo; the safety at-risk counts are 140 and 71. These denominators relate to different reported results and should not be treated as interchangeable.

The registry does not report the original sample-size justification, the detailed randomization procedure, or the statistical analysis plan. The posted results therefore support a description of the design and reported comparisons, but not a reconstruction of unreported design decisions.

4. Participant Flow and Accounting

The registry reports how participants moved through each stage of the study. All counts below are exactly as posted; missing counts are not inferred from other stages.

Before assignment: Patients with at least 5 cells in anterior chamber on the first day after surgery (at Visit 1)

Overall Study

StageClobetasol PropionatePlacebo
STARTED14071
COMPLETED13565
NOT COMPLETED56

Reasons for not completing this period:

ReasonClobetasol PropionatePlacebo
Adverse Event11
Protocol Violation11
Lack of Efficacy02
Lost to Follow-up11
Withdrawal by Subject21

Analysis population for the primary outcome, as defined in the registry: FAS Population with anterior chamber cell grade assessment at Day 8

5. Baseline Characteristics

The table reproduces the baseline characteristics posted in the registry, which describe the participants analysed at baseline and help show whether the randomized groups were comparable.

Population: Safety Population

CharacteristicUnitClobetasol PropionatePlaceboTotal
Participants analysed14071211
Age, Continuousyears67.7 (SD 8.6)65.5 (SD 7.7)67.0 (SD 8.3)
Sex: Female, Male: FemaleParticipants7738115
Sex: Female, Male: MaleParticipants633396
Race (NIH/OMB): American Indian or Alaska NativeParticipants101
Race (NIH/OMB): AsianParticipants5611
Race (NIH/OMB): Native Hawaiian or Other Pacific IslanderParticipants000
Race (NIH/OMB): Black or African AmericanParticipants25732
Race (NIH/OMB): WhiteParticipants10958167
Race (NIH/OMB): More than one raceParticipants000
Race (NIH/OMB): Unknown or Not ReportedParticipants000
Region of Enrollment: United Statesparticipants14071211

6. Primary Endpoint

The registry lists the primary outcome as Anterior Chamber Cell Grade, measured over Day 8.

ElementRegistry entry
Result typeCount Of Participants
Measure of spreadnot applicable
UnitParticipants
Endpoint classificationBinary Endpoint

The primary endpoint is the proportion of participants with an anterior chamber cell grade of “0” at Day 8. The registry defines grade “0” as absence of cells and identifies the analysis population as the FAS population with an anterior chamber cell assessment at Day 8. The posted arm counts are participants meeting that endpoint among participants with the relevant assessment.

Anterior chamber cells are a measure of inflammation inside the front part of the eye. In general, an endpoint based on a prespecified clinical assessment gives a trial a concrete outcome to compare between randomized groups. A grade of zero represents the stated absence of cells; it does not, by itself, summarize all inflammatory features, pain, visual function, or safety.

The Day 8 assessment is one time point within the visit schedule described in the record. Results at other visits for this endpoint are not reported in the registry record. The record also does not describe the grading procedure, assessor training, or any threshold beyond the stated grade of “0.” Interpretation should therefore stay focused on the posted Day 8 measure and its defined assessment population.

7. Results Posted in the Registry

Risk difference: Clobetasol Propionate

+21.3

95% CI: 7.9 to 34.8 percentage points

Recalculated from the posted summary statistics

Primary outcome by arm, with 95% confidence intervals
Primary outcome by arm with 95% confidence intervals13.923.132.441.751.060.3Clobetasol Propionate (n=139)Placebo (n=67)% of participants (95% CI)
Treatment effect versus the control arm
Forest plot of risk difference (percentage points) vs control (95% CI)Clobetasol Propionate-2.795.2913213038risk difference (percentage points) vs control (95% CI)

8. Secondary Efficacy Endpoints

The registry also posts results for secondary outcomes. For each outcome below, the endpoint type, the test applied to the posted summary statistics, the result and its interpretation are given in turn. Secondary endpoints are usually not adjusted for multiple testing, so they support rather than confirm the primary finding.

Secondary outcomeTypeEffect measureEstimate (95% CI)Planning size, 80% power
Pain Visual Analogue Scale (VAS) ScoreBinary EndpointRisk difference+31.8 pts (18.1 to 45.4)38 per arm

Pain Visual Analogue Scale (VAS) Score

Treatment effect versus the control arm
Forest plot of risk difference (percentage points) vs control (95% CI)Clobetasol Propionate-3.646.9117283949risk difference (percentage points) vs control (95% CI)

The registry posts one secondary outcome, Pain Visual Analogue Scale (VAS) Score, assessed at Day 8. Its reported comparison has a positive risk difference, so the proportion meeting the recorded status was higher in the clobetasol group than in the placebo group. This direction is consistent with the primary comparison, which also has a higher proportion meeting its defined endpoint in the clobetasol group.

The secondary result is related to, but not interchangeable with, the primary result. The primary outcome is explicitly defined as absence of anterior chamber cells. The registry does not describe the secondary VAS status counted, such as a response threshold or category. Without that definition, the meaning of the secondary count cannot be interpreted as a particular change in pain or level of improvement. The record also does not report results for additional secondary time points.

The secondary comparison is unadjusted, and no secondary analyses are listed as reported analyses. The registry does not report whether this outcome was part of a prespecified testing sequence or whether adjustment for testing multiple outcomes was planned. When multiple outcomes are examined, the chance of obtaining a nominally small p-value can increase; in general, multiplicity procedures address that issue by controlling the interpretation of a family of tests. Without a reported plan, the secondary p-value should carry less weight than a result interpreted under a clearly documented testing strategy.

The consistent direction across the posted primary and secondary comparisons can be noted as a pattern in the record, but it does not remove the uncertainty about the secondary endpoint definition or multiplicity. It also does not establish that the secondary result independently confirms the primary result. The outcomes differ in what is measured, and the registry provides less interpretive detail for the secondary measure.

Secondary outcomes registered for this trial, for reference (only those above were recalculated):

9. Statistical Interpretation

Clinical Biostats interpretation

For the primary outcome at Day 8, the registry reports 67 participants with grade “0” among 139 assessed in the clobetasol group, compared with 18 among 67 assessed in the placebo group. The posted proportions are 0.482 and 0.269, respectively. The unadjusted risk difference is 0.213, with an interval from 0.079 to 0.348, and the unadjusted p-value is 0.004. The direction of the observed comparison is toward a larger proportion meeting the endpoint in the clobetasol group.

The risk difference expresses the absolute separation between the group proportions on the probability scale. It is easier to relate directly to the measured endpoint than a relative measure, while remaining limited to this specific outcome, population, and assessment time. The interval indicates that the estimated difference is not exact; the range of values is compatible with the posted estimate under the interval method. The confidence level and interval-construction method are not reported in the registry record.

The registry also gives relative measures for the primary comparison: a risk ratio of 1.794, with an interval from 1.166 to 2.761, and an odds ratio of 2.533, with an interval from 1.343 to 4.777. These describe the same binary endpoint on different scales. They should not be mistaken for a change in the underlying endpoint definition, and an odds ratio is not the same quantity as a risk difference.

The secondary pain VAS outcome is also posted as participant counts at Day 8. The comparison has a positive risk difference of 0.318, with an interval from 0.181 to 0.454, and an unadjusted p-value of <0.001. The registry does not state what VAS response or threshold defines the counted participants, so the result cannot be translated into a particular degree of pain relief from this record alone.

These are unadjusted comparisons. The registry does not report the analysis model, covariate adjustment, missing-data procedure, or multiplicity plan. The p-values should therefore be read as unadjusted evidence against a null comparison under the methods used to produce them, whose details are not reported. They do not quantify the probability that a treatment is effective, establish causation independently of the trial design, or replace consideration of endpoint definition and precision.

10. Statistical Methods Explained

The primary and secondary posted outcomes are binary participant counts: the registry reports how many participants met a recorded outcome status and how many participants were assessed in each group. For the primary outcome, the status is explicitly defined as anterior chamber cell grade “0” at Day 8. The secondary outcome is titled Pain Visual Analogue Scale (VAS) Score, but the registry does not define the status counted in the comparison. That limits interpretation of the secondary measure.

What does a risk difference describe?

In general, a risk difference subtracts the proportion meeting an outcome in one group from the proportion in the other. It measures the absolute separation on the probability scale. A positive risk difference in the posted comparisons corresponds to a higher proportion meeting the recorded status in the clobetasol group than in the placebo group. The primary risk difference is 0.213; the secondary risk difference is 0.318. These comparisons use the posted arm counts and are unadjusted.

In general, an absolute difference is tied to the outcome and its definition. It does not say whether the outcome captures every dimension of the condition being studied. Here, the primary outcome is absence of anterior chamber cells at Day 8, not a composite measure of all symptoms or clinical outcomes. For the secondary measure, the counted status is not defined in the registry record, so its meaning is less specific.

How do relative measures differ?

A risk ratio compares the group proportions as a ratio, while an odds ratio compares their odds. Both put the contrast on a relative scale rather than reporting an absolute difference. The registry posts both measures for the primary result, with intervals. They are alternative summaries of the same binary data, not separate findings. Because odds and probabilities are different quantities, an odds ratio should not be read as though it were a risk ratio or an absolute percentage-point difference.

Measures can look more or less dramatic depending on the scale used. For clinical interpretation, the outcome definition and the group proportions remain essential context. The risk difference is often useful for understanding the absolute separation, whereas relative measures describe proportional contrasts. None of these scales alone resolves concerns about missing assessments, outcome selection, or how a response was defined.

What does a p-value say?

In general, a p-value describes how incompatible the observed data are with a specified null hypothesis under a particular statistical model. Smaller p-values indicate greater incompatibility under that model; they are not the probability that the null hypothesis is true, nor the probability that chance alone caused the result. The posted p-values are unadjusted, and the detailed testing procedures are not reported in the registry record. The primary unadjusted p-value is 0.004; the secondary unadjusted p-value is <0.001.

A p-value also does not describe the size or precision of an effect. The risk difference and its interval provide complementary information about magnitude and uncertainty. For a full interpretation, those estimates need to be considered alongside the endpoint definition, analysis population, assessment time, and possible multiplicity.

What is not known about the analysis?

The primary population is described as the FAS population with a Day 8 assessment. The registry does not report the definition of FAS, analysis model, covariates, handling of missing outcome data, or whether any sensitivity analyses were planned. It does not report a statistical analysis plan or details of the interval method. No secondary analyses are listed as reported analyses. These omissions mean that the posted counts and unadjusted contrasts can be described, but the precise procedures behind the estimates cannot be independently reconstructed from the registry record.

In general, randomization is intended to make group comparisons less vulnerable to systematic differences at assignment, and masking can reduce some sources of bias in care or assessment. Those design features do not guarantee that every later measurement is complete or that analysis choices cannot affect interpretation. The record supports noting that the study was randomized and double-masked, but further operational details are not reported.

11. Confidence Intervals and Precision

For the primary risk difference, the posted estimate is 0.213 and its interval runs from 0.079 to 0.348. For the secondary risk difference, the estimate is 0.318 and the interval runs from 0.181 to 0.454. The posted intervals for the primary relative measures are 1.166 to 2.761 for the risk ratio and 1.343 to 4.777 for the odds ratio. These ranges communicate uncertainty around estimates; they are not guarantees that the true value lies within a particular range.

In general, an interval is more informative than a point estimate alone because it displays a range of values compatible with the data under a specified method. A narrower interval indicates greater precision under that method, while a wider interval indicates more uncertainty. Precision depends on factors such as the amount of outcome information and the analysis procedure. The registry does not report the confidence level or the method used to construct these intervals, so those details cannot be assessed from the record.

The primary interval remains above zero, and the posted relative-measure intervals remain above one. Those are different reference points for the different effect scales. This does not resolve the unreported interval method or change the need to interpret the results within their endpoint definitions. The observed assessment denominators are 139 and 67 for the primary comparison, and 137 and 66 for the secondary comparison. The record does not explain why denominators differ across outcomes.

Precision is distinct from clinical importance. The registry does not provide a threshold for a clinically important difference, so the intervals cannot establish whether values within their ranges would be considered important in practice. They describe statistical uncertainty in the posted comparisons, not the full uncertainty arising from unreported analysis details, endpoint definition, or missing-data handling.

12. Planning a Similar Trial: Sample Size

This is a planning illustration, not a re-evaluation of the original trial. It asks: if a new study wanted to detect a difference like the one observed, or a smaller one, how large would it need to be? It is deliberately not “observed power” of the finished trial, which is not a meaningful quantity.

Effect to detectParticipants per arm, 80% powerParticipants per arm, 90% power
100% of the observed effect80107
75% of the observed effect139185
50% of the observed effect300402
Sample size needed versus the size of the effect to detect
Sample size needed versus size of effect to detect501002005001,00040%60%80%100%80% power90% powersize of effect to detect, as % of the effect observed (log vertical scale: participants per arm)
Method and assumptions. Two-sided α = 0.05, 1:1 allocation, pooled-variance normal approximation for two proportions (control proportion held at the observed value). Calculated for the comparison: Clobetasol Propionate.

The planning figures are participants per arm, not total events. Both posted outcomes are participant-count outcomes rather than time-to-event outcomes. In general, a power column gives the number of participants per arm in a hypothetical design intended to have the stated probability of detecting the chosen effect under the listed assumptions, if the assumptions hold. The 80% and 90% columns represent those two target probabilities, not results measured in the completed trial.

The planning assumptions are a two-sided significance level of 0.05, equal allocation between the two arms, and a normal approximation. The effect to detect is set as the stated fraction of the observed effect. For the primary outcome, planning for 100% of the observed effect gives 80 participants per arm for 80% power and 107 for 90% power; planning for 75% gives 139 and 185; planning for 50% gives 300 and 402. For the secondary outcome, the corresponding figures are 38 and 50 for 100%, 66 and 88 for 75%, and 144 and 192 for 50%.

These are planning illustrations based on the observed comparisons, not the trial's original design calculations. The registry summary describes planned 2:1 allocation, whereas these illustrations assume equal allocation. Smaller effects require more participants under the same planning framework because they are harder to distinguish from sampling variation. This is not observed power: it does not describe the probability that the completed trial detected its effect, and it should not be used to judge the result as successful or unsuccessful.

13. How the Sample Size Is Derived

Power is the probability that a study of a given size rejects the null hypothesis when a specific true effect exists. It depends on four things: the effect to detect, the variability of the outcome, the significance level (here a two-sided α of 0.05, so z1−α/2 = 1.960) and the desired power (z1−β = 0.842 for 80% and 1.282 for 90%).

Formula

n = [ z1−α/2 √(2p̄(1−p̄)) + z1−β √(p0(1−p0) + p1(1−p1)) ]2 / (p1 − p0)2

n is the number of participants in each arm, p0 and p1 are the control and treatment proportions, and p̄ is their average.

Worked calculation for this trial

  1. Control proportion p0 = 0.269; treatment proportion p1 = 0.482; average p̄ = 0.375.
  2. First term: z1−α/2 × √[2p̄(1−p̄)] = 1.96 × 0.6848 = 1.3421.
  3. Second term: z1−β × √[p0(1−p0) + p1(1−p1)] = 0.842 × 0.6679 = 0.5622.
  4. n = (1.3421 + 0.5622)2 / (0.2134)2 = 79.7, rounded up to 80 participants per arm for 80% power.

The smaller-effect rows in the table above repeat the same calculation with the effect multiplied by 0.75 and 0.5 (for ratios, applied to the logarithm of the ratio).

R code

alpha <- 0.05
z_a   <- qnorm(1 - alpha / 2)          # two-sided
p0 <- 0.26865671641791                          # control proportion
p1 <- 0.482014388489209                          # treatment proportion
n_per_arm <- function(power, frac = 1) {
  q1 <- p0 + (p1 - p0) * frac               # smaller effect = fraction of the observed difference
  pbar <- (p0 + q1) / 2
  z_b <- qnorm(power)
  ceiling(round((z_a * sqrt(2 * pbar * (1 - pbar)) + z_b * sqrt(p0 * (1 - p0) + q1 * (1 - q1)))^2 / (q1 - p0)^2, 6))
}
for (f in c(1, 0.75, 0.5))
  cat(sprintf("%3.0f%% of observed effect: n per arm = %s (80%% power), %s (90%% power)\n", 100 * f,
              format(n_per_arm(0.80, f), big.mark = ","), format(n_per_arm(0.90, f), big.mark = ",")))

# Check against R's built-in function (unrounded n per arm)
cat("power.prop.test:", round(power.prop.test(p1 = p0, p2 = p1, power = 0.80)$n, 1), "\n")

# Simulation: how often does the z-test reject at the 80%-power sample size?
set.seed(4246801)
n    <- n_per_arm(0.80)
reps <- 20000
x0 <- rbinom(reps, n, p0); x1 <- rbinom(reps, n, p1)
ph <- (x0 + x1) / (2 * n)
z  <- ((x1 - x0) / n) / sqrt(ph * (1 - ph) * 2 / n)
cat(sprintf("Simulated power at n = %s per arm: %.3f (%d replicates)\n", format(n, big.mark = ","), mean(abs(z) > z_a, na.rm = TRUE), reps))

Output from running the code

100% of observed effect: n per arm = 80 (80% power), 107 (90% power)
 75% of observed effect: n per arm = 139 (80% power), 185 (90% power)
 50% of observed effect: n per arm = 300 (80% power), 402 (90% power)
power.prop.test: 79.7 
Simulated power at n = 80 per arm: 0.802 (20000 replicates)

The simulation draws many pairs of event counts at the planned sample size and counts how often the two-proportion z-test rejects the null. It should land close to the target power; at very small required sample sizes it can fall below it, because the normal approximation is rough there.

14. Multiplicity, Missing Data and Analysis Populations

Multiplicity concerns arise when a study evaluates more than one outcome, time point, subgroup, or statistical contrast. In general, repeated testing can make nominal p-values appear more compelling than they would be under a prespecified strategy that accounts for the family of tests. The registry lists a primary anterior chamber cell endpoint at Day 8 and one secondary outcome, Pain Visual Analogue Scale (VAS) Score, also at Day 8. It reports no secondary analyses as reported analyses.

The registry record does not report a multiplicity plan, hierarchy of outcomes, gatekeeping procedure, or adjusted p-values. It is therefore not possible to determine from the record whether the secondary outcome was intended as confirmatory or exploratory, or how the sponsor planned to handle testing across outcomes or time points. The posted p-values are identified as unadjusted and should be read accordingly.

Missing-data handling is also not reported. The primary endpoint applies to the FAS population with a Day 8 assessment, but the record does not define FAS or state how participants without a Day 8 assessment were handled. The primary endpoint denominators differ from the safety at-risk counts, and the secondary denominators differ from the primary assessment denominators. The record does not explain these differences, so they should not be attributed to a particular cause.

Other analysis populations, rules for incomplete observations, imputation methods, sensitivity analyses, and protocol deviations are not reported in the registry record. These gaps matter because observed-case comparisons can be affected if outcome availability differs between groups or relates to the outcome. They do not establish that such problems occurred; they mean the posted results cannot answer how those possibilities were assessed.

The record also does not report the original sample-size justification or the analysis plan. The separate planning illustrations are based on observed effects and specified assumptions; they do not recover the trial's original planning rationale. Consequently, the primary result can be described using its posted estimates and uncertainty, but claims about prespecification, missing-data robustness, or confirmatory interpretation are not supported by the registry record.

15. Safety Results

The registry reports serious adverse events as affected participants divided by participants at risk.

ArmParticipants with serious adverse eventsParticipants at riskPercentage
Clobetasol Propionate11400.7%
Placebo0710.0%
Participants with at least one serious adverse event
Serious adverse events by armClobetasol Propionate0.7%Placebo0.0%% of participants with at least one serious adverse event

Deaths

ArmDeaths (participants affected of at risk)
Clobetasol Propionate0 of 140
Placebo0 of 71

Other (non-serious) adverse events

Participants with at least one non-serious event at or above the registry's 2% reporting threshold.

ArmParticipants affected of at risk
Clobetasol Propionate1 of 140
Placebo5 of 71

Most frequent serious adverse event terms

Event termOrgan systemClobetasol PropionatePlacebo
Cystoid Macular oedemaEye disorders1 of 1400 of 71

Most frequent non-serious adverse event terms

Event termOrgan systemClobetasol PropionatePlacebo
Eye PainEye disorders0 of 1403 of 71
Lacrimation increasedEye disorders1 of 1402 of 71
PhotophobiaEndocrine disorders0 of 1403 of 71

Serious events with the highest arm-level rate: cystoid macular oedema (0.7%).

Do not overextend the safety comparison. Serious-adverse-event counts are safety observations, not efficacy outcomes, and should not be combined with the primary result into a single benefit-risk number.

For serious adverse events, the posted at-risk counts are 140 in the clobetasol group and 71 in the placebo group. The record reports 1 participant affected in the clobetasol group and 0 in the placebo group. The posted other adverse-event counts are 1 and 5, respectively. No deaths are reported in either group. The registry lists cystoid macular oedema as a top serious term at 0.7%.

These are counts, not adjusted comparisons of risk. The at-risk counts for safety are not the same as the primary endpoint assessment denominators, and the record does not provide enough detail to reconcile them. The counts are small, so they describe what was recorded in this trial but do not, by themselves, establish comparative safety or rule out uncommon events. The registry does not report adverse-event definitions, collection procedures, severity breakdowns beyond the serious-event listing, or a statistical comparison of safety outcomes.

16. What the Result Does, and Does Not, Mean

The registry record shows that, among participants with a Day 8 primary assessment, a larger proportion in the clobetasol group had an anterior chamber cell grade of “0” than in the placebo group. The posted unadjusted risk difference is 0.213, with an interval from 0.079 to 0.348, and the unadjusted p-value is 0.004. This is a statistical description of the recorded endpoint in the analyzed assessment population.

The result does not establish that every participant experienced the same outcome, nor does it describe all aspects of postoperative inflammation, pain, or recovery. A Day 8 measure is one point in the registry's visit schedule. It does not by itself show how outcomes developed at other visits, and the record does not report primary endpoint results at other time points.

The secondary pain VAS comparison points in the same direction, but the registry does not define the counted secondary status. That missing definition limits what can be concluded about the clinical meaning of the secondary result. The absence of a reported multiplicity plan and missing-data procedure also limits how strongly the posted unadjusted results can be interpreted.

The adverse-event counts are descriptive. They do not establish that one group is safer, and they cannot rule out events that are uncommon or not captured in the registry results. Likewise, a statistically separated group comparison does not by itself establish the size of a clinically important benefit; the record does not give a threshold for clinical importance.

Overall, the posted statistics describe differences between randomized groups for the outcomes and assessments reported. They should not be generalized beyond those defined measures, time points, and populations without additional evidence. The registry record alone does not support medical advice or a complete judgment of treatment benefit and risk.

17. Why This Trial Matters Statistically

This trial is statistically informative because it reports a binary primary outcome with arm-specific participant counts, an unadjusted absolute difference, relative measures, intervals, and a p-value. Seeing the group proportions alongside the risk difference helps distinguish the observed magnitude from a significance test. The Day 8 endpoint is also explicitly defined as absence of anterior chamber cells, which keeps the primary comparison tied to a stated clinical measure.

The record illustrates why endpoint definitions matter. The primary outcome has a clear grade threshold, while the secondary pain VAS result is posted as participant counts without a definition of the counted status. The two outcomes have a similar direction in the reported comparisons, but their statistical and clinical meanings cannot be treated as identical. An incomplete definition can limit interpretation even when a p-value is small.

It also demonstrates the importance of reading denominators in context. Primary assessment, secondary assessment, and safety at-risk counts are different. The registry does not explain those differences, and the enrollment field does not match the summary's planned enrollment. Noticing such record-level distinctions prevents conflating planned recruitment, outcome assessment, and safety populations.

Finally, the trial record does not report its detailed statistical plan, multiplicity handling, or missing-data methods. These omissions matter to how confidently readers can characterize the inferential framework. The posted results support a careful description of the measured group differences, while leaving important questions about the original design rationale and analysis procedures unanswered.

18. Limitations

The registry contains different enrollment figures: its enrollment field reports 250, while the study summary says 210 participants were planned and describes planned groups of 140 and 70. The posted primary outcome denominators are 139 and 67, while safety at-risk counts are 140 and 71. These figures refer to different record entries and analysis contexts; the record does not reconcile them.

The primary endpoint is reported for Day 8, and results for this endpoint at other scheduled visits are not reported in the registry record. The secondary outcome is also listed at Day 8, but the counted VAS status is not defined. This makes the clinical interpretation of the secondary comparison less specific than that of the primary outcome.

The registry does not report a detailed statistical analysis plan, the original sample-size justification, multiplicity procedures, interval methods, or missing-data handling. It also does not define the FAS population beyond specifying that the primary assessment includes participants with a Day 8 evaluation. These omissions limit assessment of prespecification and robustness.

Safety information is presented as event counts and at-risk counts, without a detailed comparison or enough reporting to assess collection and classification procedures. The available record supports describing those counts, not drawing broad conclusions about uncommon adverse events or comparative safety. These limitations are features of the available registry reporting; they do not show that a particular bias or analysis problem occurred.

19. Related Tutorials

20. Related Statistical Calculators

21. Sources

Continue through the Clinical Biostats statistical pathway

Use this trial's endpoint as a starting point for deeper study of effect measures, confidence intervals, and sample-size planning.

22. Record Summary

The registry describes a completed Phase 3, randomized, double-masked, parallel-group comparison of clobetasol propionate ophthalmic nanoemulsion 0.05% with placebo after routine unilateral cataract surgery. The primary endpoint is the proportion with anterior chamber cell grade “0” at Day 8 among the FAS population with an assessment. The posted unadjusted comparison reports a higher proportion meeting this endpoint in the clobetasol group, with a risk difference of 0.213 and p-value of 0.004.

A Day 8 pain VAS outcome is also posted, but the registry does not define its counted status. Serious and other adverse-event counts are reported descriptively. The original sample-size rationale, multiplicity plan, missing-data methods, and detailed analysis procedures are not reported in the registry record.

Clinical Biostats