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Adaptive Design Clinical Trials for Drugs and Biologics Guidance for Industry

FinalCenter for Biologics Evaluation and Research Center for Drug Evaluation and Research12/02/2019
Trial IntegrityAdaptive DesignGroup Sequential DesignAdaptive Enrichment DesignAdaptive Dose SelectionResponse-adaptive Randomization

Description

This document provides guidance to sponsors and applicants submitting investigational new drug applications (INDs), new drug applications (NDAs), biologics licensing applications (BLAs), or supplemental applications on the appropriate use of adaptive designs for clinical trials to provide evidence of the effectiveness and safety of a drug or biologic. The guidance describes important principles for designing, conducting, and reporting the results from an adaptive clinical trial. The guidance also advises sponsors on the types of information to submit to facilitate FDA evaluation of clinical trials with adaptive designs, including Bayesian adaptive and complex trials that rely on computer simulations for their design.

Key Topics

Terms and concepts identified from this document

Scope & Applicability

Product Classes

4
Drug

Defined in section 201(g) of the FD&C Act; Articles intended for use in diagnosis, cure, mitigation, treatment, or prevention of disease; Product classification based on chemical action or specific intended uses like altering pH

preventive vaccine

Minimum sample size expected for reliable safety evaluation

Biological Product

Regulated under section 351(i) of the PHS Act; Virus, therapeutic serum, toxin, vaccine, or protein applicable to prevention or treatment; Alternative regulation category for products meeting device definition

HPV Vaccine

nine-valent human papillomavirus vaccine evaluated using adaptive dose selection

Stakeholders

6
Sponsor

Entity responsible for submitting applications under section 524B

Data Monitoring Committee

Safety oversight body for interpreting adverse events; Safety oversight body for study design

FDA review division

Early discussion is recommended when considering adaptations to endpoint selection.

Applicant

Entity submitting development data and knowledge; Entity performing the work process for change

Monitoring committee

personnel involved in the adaptive decision-making (e.g., a monitoring committee)

DMC

Data monitoring committee; Oversight body that may request interim analysis

Regulatory Context

Regulatory Activities

10
IND

Investigational New Drug submissions

Phase II/III

Adaptive seamless design for oncology trials

Phase I

Cancer clinical trials involving dose escalation

special protocol assessments

Commitments involved with SPAs for trials with complex adaptive designs

EOP2A meeting

Setting for a sponsor to obtain feedback on adaptive features

EOP2 meetings

Regulatory mechanisms for obtaining formal, substantive feedback from FDA

Type C meeting

Mechanism for applicants to discuss total nitrosamine limits with FDA.

confirmatory trials

The number of subjects in confirmatory trials should provide adequate power to evaluate the primary endpoint.

NDA

New Drug Application

BLA

Biologics License Application

Document Types

8
Clinical Trial Protocol

Document where potential trial adaptations must be pre-specified; Document where the source of external information and prior distribution should be documented.; Should contain core elements and adaptive design rationale.

Master Protocols

Innovative trial design element

package insert

User Safety Warnings section of the package insert

data access plan

Comprehensive written plan defining how trial integrity will be maintained

simulation report

Detailed report submitted when simulations are the primary technique for evaluation

adaptation committee charter

Document defining the roles of the adaptation committee

DMC charter

Should reflect the role of the DMC if allocated the responsibility of assessing safety reporting criteria.

Statistical Analysis Plan

Document for protocol execution; The sponsor should develop a statistical analysis plan that is consistent with the trial protocol; Deviations from this plan must be justified

Attributes

5
Nuisance parameters

values that are not of primary interest but may affect the statistical comparisons

Type I Error Probability

Statistical risk that can be increased by conventional analysis methods in adaptive designs; Statistical risk that must be controlled in adaptive designs; Key operating characteristic that must be controlled.

Statistical Power

adequate statistical power and accounting for planned analyses

Statistical bias

Some adaptive design features can lead to statistical bias in the estimation of treatment effects; potential for biased estimation of treatment effects; Evaluation of treatment effect estimates

Mean squared error

improve performance on measures such as the mean squared error

Technical Details

Substances

5
Eliprodil

evaluated for treatment of patients suffering from severe head injury

Angiotensin-Neprilysin Inhibition

Therapeutic intervention in heart failure study

Enalapril

Comparator drug in heart failure study

RotaTeq

rotavirus vaccine approved based on the REST trial

LCZ696

combination of sacubitril and valsartan used in PARADIGM-HF trial

Testing Methods

10
Computer Simulations

used to determine important aspects of the design and operating characteristics

Multi-arm Multi-stage Randomized Controlled Trial

Flexible trial design used in the STAMPEDE trial

Conditional Power

Basis for designed extension of studies

Sample size reassessment

includes interim looks for potential stopping of treatment arm(s) can also include a sample size reassessment

Dose Escalation Methods

Methods used in Phase I cancer clinical trials

CRM

Continual Reassessment Method used in early-phase dose-ranging trials

Group sequential designs

A type of adaptive design where asymptotic probability distributions can be derived mathematically.

Markov chain Monte Carlo

Computationally demanding algorithm used in Bayesian simulations

Clinical trial simulations

Used to integrate PK/PD aspects to aid in design with feasible sample sizes.

minimization

Example of covariate-adaptive randomization

Processes

6
Sample size re-estimation

Trial adaptation based on interim analysis

Dose-escalation

Process of increasing dosage in clinical cohorts

adaptive platform trial

Designed to compare more than one experimental treatment against a control

adaptive enrichment

Adaptive modifications to the patient population based on comparative interim results

unblinded sample size adaptation

Modifications to sample size based on comparative interim results

Adaptive Design Clinical Trials

Guidance for Industry regarding drugs and biologics; The core subject of the guidance; General topic of the guidance and referenced literature

Clinical Concepts

8
Ebola Virus Disease

treated in the PREVAIL II trial using a Bayesian adaptive design

Oncology

Therapeutic area for adaptive seamless designs

Heart Failure

Patient population for new indication

Maximum tolerated dose

the highest dose of a drug that does not cause unacceptable side effects

Secondary endpoint

additional endpoints specified in addition to the primary endpoint

Intermediate clinical endpoint

Measurement of therapeutic effect likely to predict effect on IMM

Surrogate endpoint

Marker thought to predict clinical benefit

Primary endpoint

The choice of which can be adaptively modified based on comparative interim results.; the main outcome measure used to evaluate effectiveness

Identified Hazards

Hazards

1
Intussusception

serious gastrointestinal condition evaluated in the REST trial

Standards & References

External Standards

1
BEST Resource glossary

Source for definitions of surrogate and intermediate endpoints.

Specifications

2
Confidence intervals

Statistical measure associated with performance reporting

Prespecified adaptation rule

Required for designs allowing adaptive modification to the choice of primary endpoint.; rule defined before the trial to guide adaptations; Rule used to make adaptation decisions

ICH References (1)

ICH E9

Statistical Principles for Clinical Trials; Discourages deterministic procedures due to high risk of bias; Notes that the use of Bayesian methods in clinical trials may be considered.

Related CFR Sections (1)

  • 21CFR312.21§ 312.21 Phases of an investigation.

    An IND may be submitted for one or more phases of an investigation. The clinical investigation of a previously untested drug is generally divided into three phases. Although in general the phases are conducted sequentially, they may overlap. These three phases of an investigation are a follows:Read full regulation →

See Also (8)

Adaptive Design Clinical Trials for Drugs and Biologics Guidance for Industry | Guideline Explorer | BioRegHub