Evidence map›Paper›PMID 36117568›Full record

ArticleContemporary clinical trials communications2022

Effects of dose change on the success of clinical trials.

Guogen Shan, Aaron Ritter, Justin Miller, Charles Bernick

Open access · goldAbstract read
In one paragraph

Article in Contemporary clinical trials communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.7field-weighted citation impact, top 9% 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.

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

11 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Sample size determination for a study with variable follow-up time.Journal of biopharmaceutical statistics · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Continuity corrected Wilson interval for the difference of two independent proportions.Journal of statistical theory and applications : JSTA · 2023
    Article
  11. 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

4 authors at 3 institutions in 1 country.

Guogen ShanDepartment of Biostatistics, University of Florida, Gainesville, FL 32611, United States of America.
Aaron RitterCleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, 89106, United States of America.
Justin MillerCleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, 89106, United States of America.
Charles BernickDepartment of Neurology, University of Washington, Seattle, WA, 98195, United States of America.
Cleveland Clinic · USUniversity of Florida · USUniversity of Washington · US

Funding

Alzheimer's Disease: New Trial Designs for Emerging ChallengesR01AG070849 · NIA · UNIVERSITY OF NEVADA LAS VEGAS · PI SHAN, GUOGEN · 2021 to 2025
$1.5M
Adaptive randomized designs for cancer clinical trials by using integer algorithms and exact Monte Carlo methodsR03CA248006 · NCI · UNIVERSITY OF FLORIDA · PI SHAN, GUOGEN · 2021 to 2022
$153k
NCI NIH HHS R03 CA248006NIA NIH HHS R01 AG070849
6 · The paper itself

Abstract

The search for disease modifying therapies in Alzheimers disease (AD) has recently led to promising results but also revealed design issues in clinical trials themselves. Of particular importance is the potential statistical challenges that can arise when dosages change after an interim analysis, which is not uncommon in contemporary AD trials. Following the recent Aducanumab trials, we sought to study the implications of dose changes on the statistical power of an AD trial. We conducted extensive simulations to calculate statistical power when the relationship between treatment effect size and time is linear or non-linear, and the investigated drug has delayed treatment effect or not. Statistical power depends on many design factors including the dose change time, correlation, population homogeneity, and treatment effect time. We recommend that researchers conduct simulation studies at the interim analysis to justify the modified sample size and/or follow-up time modification meanwhile the type I and II error rates are controlled.

Indexed as

Aducanumab trialAlzheimer’s diseaseDose changeStatistical power

Identifiers

PMID36117568
PMCPMC9478360
OpenAlexW4294664310

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.