Evidence map›Paper›PMID 40936998›Full record

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

Implications of practice effects for the design of Alzheimer clinical trials.

Jasmin A Duehring, Diane M Jacobs, Michael L Thomas, Hiroko H Dodge, Howard H Feldman, Steven D Edland

Abstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Trial
  2. Trial
  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.

Jasmin A DuehringDivision of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science University of California San Diego La Jolla California USA.
Diane M JacobsDepartment of Neurosciences School of Medicine University of California San Diego La Jolla California USA.
Michael L ThomasDepartment of Psychology Colorado State University Fort Collins Colorado USA.
Hiroko H DodgeDepartment of Neurology Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA.
Howard H FeldmanDepartment of Neurosciences School of Medicine University of California San Diego La Jolla California USA.
Steven D EdlandDivision of Biostatistics, Herbert Wertheim School of Public Health and Human Longevity Science University of California San Diego La Jolla California USA.

Funding

RECRUITMENT COREU19AG010483 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FELDMAN, HOWARD · 2013 to 2020
$80.6M
Research Education ComponentP30AG062421 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI STEVEN E ARNOLD · 2019 to 2026
$36.5M
UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Mark W Bondi · 2019 to 2026
$34.9M
Re-visiting Methods for MCI Diagnosis to Improve Biomarker and Trial FindingsR01AG049810 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BONDI, MARK W, EDLAND, STEVEN DYAL · 2016 to 2020
$3.7M
NIA NIH HHS P30 AG062421NIA NIH HHS P30 AG062429NIA NIH HHS R01 AG049810NIA NIH HHS U19 AG010483
6 · The paper itself

Abstract

introductionPractice effects (PEs) are a well-known potential confound in natural history studies of longitudinal cognitive decline in aging and early-stage Alzheimer's disease. The implication of PEs on Alzheimer's disease clinical trials is less well understood, although we have previously speculated that a "run-in" period of repeated cognitive assessments prior to randomization may improve the efficiency of clinical trials [Jacobs et al.

methodsTo investigate this, we used the cognitive battery within the National Alzheimer's Coordinating Center (NACC) Uniform Data Set to characterize the potential impact of PEs on clinical trial design and outcome measures. The analysis restricted to

resultsPEs were large, often exceeding the magnitude of annual rate of change observed in later assessments. Annualized rate of change, and therefore target treatment effect sufficient to achieve a specified percentage reduction in rate of decline, was larger after run-in. Sample size projections for the run-in design were a fraction of those required for trials without run-in. Weighting parameters that optimize composite outcome performance were also different for the two designs, underscoring the importance of considering design in the construction of composite outcomes. DISCUSSION: Clinical trials randomizing after a run-in period measure treatment efficacy relative to decline unbiased by PEs, and require smaller sample size. Highlights: In the National Alzheimer's Coordinating Center (NACC), amnestic mild cognitive impairment (aMCI) cohort practice effects often exceed annualized rate of change.Run-in clinical trial designs can be used to extinguish practice effects.Rate of decline after run-in is faster and unbiased by practice effects.Run-in designs correctly target the most clinically relevant outcome signal.Practice effects also impact weighting of optimal composite measures.

Indexed as

clinical trial designclinical trial efficiencycomposite measuresoptimal weightspractice effects

Identifiers

PMID40936998
PMCPMC12420670

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Registered trials

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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.