Evidence map›Paper›PMID 36471449›Full record

Trial reportTrials2022

A novel Bayesian adaptive design incorporating both primary and secondary endpoints for randomized IIB chemoprevention study of women at increased risk for breast cancer.

Byron J Gajewski, Bruce F Kimler, Devin C Koestler, Dinesh Pal Mudaranthakam, Kate Young, Carol J Fabian

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Trials, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04821141 (Randomized IIB Study of the Effect of Bazedoxifene Plus Conjugated Estrogens on Breast Imaging and Tissue Biomarkers in Peri or Post-Menopausal Women at Increased Risk for Development of Breast Cancer), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% of its field
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.

NCT04821141 phase2active not recruitingnot on this map

Randomized IIB Study of the Effect of Bazedoxifene Plus Conjugated Estrogens on Breast Imaging and Tissue Biomarkers in Peri or Post-Menopausal Women at Increased Risk for Development of Breast Cancer

TypeinterventionalSponsorUniversity of Kansas Medical CenterRan2021 to 2027Enrolled120ConditionsRisk Reduction, Breast CancerArmsBazedoxifene and Conjugated Estrogens
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
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

6 authors at 2 institutions in 1 country.

Byron J GajewskiDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA. bgajewski@kumc.edu.
Bruce F KimlerThe University of Kansas Cancer Center, Kansas City, USA.
Devin C KoestlerDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA.
Dinesh Pal MudaranthakamDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA.
Kate YoungDepartment of Biostatistics & Data Science, The University of Kansas Medical Center, Mail Stop 1026, 3901 Rainbow Blvd, Kansas City, KS, 66160, USA.
Carol J FabianThe University of Kansas Cancer Center, Kansas City, USA.
The University of Kansas Cancer Center · USUniversity of Kansas Medical Center · US

Funding

Transgenic & Gene-Targeting Shared ResourceP30CA168524 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI ROY A. JENSEN · 2012 to 2026
$40.1M
Biomarker-Based Phase IIB Trial of (Bazedoxifene-Conjugated Estrogen) to Reduce Risk for Breast CancerR01CA249437 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI FABIAN, CAROL J. · 2021 to 2025
$4.1M
NCI NIH HHS P30 CA168524NCI NIH HHS R01 CA249437NCI NIH HHS R01CA249437
6 · The paper itself

Abstract

backgroundOur randomized controlled clinical trial will explore the potential of bazedoxifene plus conjugated estrogen to modulate breast tissue-based risk biomarkers as a surrogate for breast cancer risk reduction. This paper investigates the statistical design features of the trial and the rationale for the final choice of its design. Group sequential designs are a popular design approach to allow a trial to stop early for success or futility, potentially saving time and money over a fixed trial design. While Bayesian adaptive designs enjoy the same properties as group sequential designs, they have the added benefit of using prior information as well as inferential interpretation conditional on the data. Whether a frequentist or Bayesian trial, most adaptive designs have interim analyses that allow for early stopping, typically utilizing only the primary endpoint. A drawback to this approach is that the study may not have enough data for adequate comparisons of a single, key secondary endpoint. This can happen, for example, if the secondary endpoint has a smaller effect than the primary endpoint.

methodsIn this paper, we investigate a trial design called two-endpoint adaptive, which stops early only if a criterion is met for primary and secondary endpoints. The approach focuses the final analysis on the primary endpoint but ensures adequate data for the secondary analysis. Our study has two arms with a primary (change in mammographic fibroglandular volume) and secondary endpoint (change in mammary tissue Ki-67).

resultsWe present operating characteristics including power, trial duration, and type I error rate and discuss the value and risks of modeling Bayesian group sequential designs with primary and secondary endpoints, comparing against alternative designs. The results indicate that the two-endpoint adaptive design has better operating characteristics than competing designs if one is concerned about having adequate information for a key secondary endpoint. DISCUSSION: Our approach balances trial speed and the need for information on the single, key secondary endpoint.

Indexed as

Breast NeoplasmsBayes TheoremChemopreventionFemaleHumansMedical FutilityResearch DesignBayesian adaptive designBreast Cancer preventionEarly phaseFibroglandular volume, Ki-67Group sequential monitoring

Identifiers

PMID36471449
PMCPMC9721008
OpenAlexW4310679737

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.