Evidence map›Paper›PMID 33173908›Full record

ArticlemedRxiv : the preprint server for health sciences2020

Cognitive Practice Effects Delay Diagnosis; Implications for Clinical Trials.

Mark Sanderson-Cimino, Jeremy A Elman, Xin M Tu, Alden L Gross, Matthew S Panizzon, Daniel E Gustavson, Mark W Bondi, Emily C Edmonds, Graham M L Eglit, Joel S Eppig and 7 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 7 institutions in 1 country.

Mark Sanderson-CiminoSan Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
Jeremy A ElmanCenter for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Xin M TuDepartment of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
Alden L GrossDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MA, USA.
Matthew S PanizzonCenter for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Daniel E GustavsonDepartment of Medicine, Vanderbilt University Medical Center, Nashville TN, USA.
Mark W BondiDepartment of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
Emily C EdmondsDepartment of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
Graham M L EglitCenter for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Joel S EppigVA Puget Sound, Seattle Division, WA, USA.
Carol E FranzCenter for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Amy J JakCenter for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Michael J LyonsDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Kelsey R ThomasDepartment of Psychiatry, School of Medicine, University of California, San Diego, La Jolla, CA, USA.
McKenna E WilliamsSan Diego State University/University of California San Diego Joint Doctoral Program in Clinical Psychology, San Diego, CA, USA.
William S KremenCenter for Behavior Genetics of Aging, University of California, San Diego, La Jolla, CA, USA.
Alzheimer’s Disease Neuroimaging Initiative
University of California San Diego · USSan Diego State University · USBoston University · USJohns Hopkins University · USUniversity of California System · USVanderbilt University Medical Center · USVA Puget Sound Health Care System · US

Funding

UCSD Shiley-Marcos Alzheimer's Disease Research Center P30P30AG062429 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Steven Dyal Edland · 2019 to 2026
$34.9M
The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of AgingR01AG022381 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KREMEN, WILLIAM S. · 2003 to 2019
$22.3M
UC San Diego Clinical and Translational Research InstituteKL2TR001444 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2024
$15.4M
Urban Air Pollution and Pathological Brain Aging: A Nationwide Twin Study in MenP01AG055367 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI MACK, WILLIAM J · 2018 to 2022
$11.5M
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
Clarifying risk and protective factors for dementia with the Interplay of Genes and Environment in Multiple Studies (IGEMS) consortiumR01AG060470 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI GATZ, MARGARET, PEDERSEN, NANCY L · 2018 to 2022
$3.6M
SES health gradients in late life: testing models of gene-environment interplay in an international twin consortiumR01AG059329 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FINCH, BRIAN K., GATZ, MARGARET · 2018 to 2022
$2.9M
Gene Expression Biomarkers for Early Identification of Mild Cognitive Impairment: A Twin StudyR01AG054002 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLATT, STEPHEN J, TSUANG, MING T. · 2016 to 2019
$2.7M
Intersection of Physiologic Frailty and Cognitive Performance in Older Adults: An Integrative Data AnalysisK01AG050699 · NIA · JOHNS HOPKINS UNIVERSITY · PI GROSS, ALDEN L. · 2016 to 2020
$648k
Practice Effects in Cognitive Aging: Implications for Biomarkers and Early DiagnosisF31AG064834 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SANDERSON-CIMINO, MARK · 2020 to 2021
$78k
NCATS NIH HHS KL2 TR001444NIA NIH HHS F31 AG064834NIA NIH HHS K01 AG050699NIA NIH HHS P01 AG055367NIA NIH HHS P30 AG062429NIA NIH HHS R01 AG022381NIA NIH HHS R01 AG049810NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG054002NIA NIH HHS R01 AG059329NIA NIH HHS R01 AG060470
6 · The paper itself

Abstract

objectivePractice effects on cognitive tests obscure decline, thereby delaying detection of mild cognitive impairment (MCI). This reduces opportunities for slowing Alzheimer's disease progression and can hinder clinical trials. Using a novel method, we assessed the ability of practice-effect-adjusted diagnoses to detect MCI earlier, and tested the validity of these diagnoses based on AD biomarkers.

methodsOf 889 Alzheimer's Disease Neuroimaging Initiative participants who were cognitively normal (CN) at baseline, 722 returned at 1-year-follow-up (mean age=74.9±6.8). Practice effects were calculated by comparing returnee scores at follow-up to demographically-matched individuals who had only taken the tests once, with an additional adjustment for attrition effects. Practice effects for each test were subtracted from follow-up scores. The lower scores put additional individuals below the impairment threshold for MCI. CSF amyloid-beta, phosphorylated tau, and total tau were measured at baseline and used for criterion validation.

resultsPractice-effect-adjusted scores increased MCI incidence by 26% (p<.001). Adjustment increased proportions of amyloid-positive MCI cases (+20%) and reduced proportions of amyloid-positive CNs (-6%) (ps<.007). With the increased MCI base rate, adjustment for practice effects would reduce the sample size needed for detecting significant drug treatment effects by an average of 21%, which we demonstrate would result in multi-million-dollar savings in a clinical trial.

interpretationAdjusting for practice effects on cognitive testing leads to earlier detection of MCI. When MCI is an outcome, this reduces recruitment needed for clinical trials, study duration, staff and participant burden, and can dramatically lower costs. Importantly, biomarker evidence also indicates improved diagnostic accuracy.

Identifiers

PMID33173908
PMCPMC7654904
OpenAlexW3102944646

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.