Evidence map›Paper›PMID 29067290›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)2016

Design of a Bayesian adaptive phase 2 proof-of-concept trial for BAN2401, a putative disease-modifying monoclonal antibody for the treatment of Alzheimer's disease.

Andrew Satlin, Jinping Wang, Veronika Logovinsky, Scott Berry, Chad Swanson, Shobha Dhadda, Donald A Berry

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Trial
  4. Lecanemab appropriate use recommendations for clinical practice in the UK.Journal of neurology, neurosurgery, and psychiatry · 2026
    Review
  5. Alzheimer Combination Therapies: Overview and Scenarios.The journal of prevention of Alzheimer's disease · 2025
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Amyloid-Directed Antibodies: Past, Present, and Future.Journal of Alzheimer's disease : JAD · 2024
    Review
  13. Review
  14. Review
  15. Lecanemab: Appropriate Use Recommendations.The journal of prevention of Alzheimer's disease · 2023
    Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Andrew SatlinNeuroscience & General Medicine, Eisai Inc., Woodcliff Lake, NJ, USA.
Jinping WangNeuroscience & General Medicine, Eisai Inc., Woodcliff Lake, NJ, USA.
Veronika LogovinskyNeuroscience & General Medicine, Eisai Inc., Woodcliff Lake, NJ, USA.
Scott BerryBerry Consultants, LLC, Austin, TX, USA.
Chad SwansonNeuroscience & General Medicine, Eisai Inc., Woodcliff Lake, NJ, USA.
Shobha DhaddaNeuroscience & General Medicine, Eisai Inc., Woodcliff Lake, NJ, USA.
Donald A BerryBerry Consultants, LLC, Austin, TX, USA.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
6 · The paper itself

Abstract

introductionRecent failures in phase 3 clinical trials in Alzheimer's disease (AD) suggest that novel approaches to drug development are urgently needed. Phase 3 risk can be mitigated by ensuring that clinical efficacy is established before initiating confirmatory trials, but traditional phase 2 trials in AD can be lengthy and costly.

methodsWe designed a Bayesian adaptive phase 2, proof-of-concept trial with a clinical endpoint to evaluate BAN2401, a monoclonal antibody targeting amyloid protofibrils. The study design used dose response and longitudinal modeling. Simulations were used to refine study design features to achieve optimal operating characteristics.

resultsThe study design includes five active treatment arms plus placebo, a clinical outcome, 12-month primary endpoint, and a maximum sample size of 800. The average overall probability of success is ≥80% when at least one dose shows a treatment effect that would be considered clinically meaningful. Using frequent interim analyses, the randomization ratios are adapted based on the clinical endpoint, and the trial can be stopped for success or futility before full enrollment. DISCUSSION: Bayesian statistics can enhance the efficiency of analyzing the study data. The adaptive randomization generates more data on doses that appear to be more efficacious, which can improve dose selection for phase 3. The interim analyses permit stopping as soon as a predefined signal is detected, which can accelerate decision making. Both features can reduce the size and duration of the trial. This study design can mitigate some of the risks associated with advancing to phase 3 in the absence of data demonstrating clinical efficacy. Limitations to the approach are discussed.

Indexed as

Adaptive trialAlzheimer's diseaseBayesian analysisClinical trial simulationInterim analysisMonoclonal antibody

Identifiers

PMID29067290
PMCPMC5644271

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.