Evidence map›Paper›PMID 32538841›Full record

ArticleJournal of Alzheimer's disease : JAD2020

Diagnostic and Prognostic Accuracy of the Cogstate Brief Battery and Auditory Verbal Learning Test in Preclinical Alzheimer's Disease and Incident Mild Cognitive Impairment: Implications for Defining Subtle Objective Cognitive Impairment.

Nikki H Stricker, Emily S Lundt, Sabrina M Albertson, Mary M Machulda, Shehroo B Pudumjee, Walter K Kremers, Clifford R Jack, David S Knopman, Ronald C Petersen, Michelle M Mielke

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 42 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Nikki H StrickerDepartment of Psychiatry and Psychology, Division of Neurocognitive Disorders, Mayo Clinic, Rochester, MN, USA.
Emily S LundtDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Sabrina M AlbertsonDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Mary M MachuldaDepartment of Psychiatry and Psychology, Division of Neurocognitive Disorders, Mayo Clinic, Rochester, MN, USA.
Shehroo B PudumjeeDepartment of Psychiatry and Psychology, Division of Neurocognitive Disorders, Mayo Clinic, Rochester, MN, USA.
Walter K KremersDepartment of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
David S KnopmanDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Ronald C PetersenDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Michelle M MielkeDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Florida · USMayo Clinic · USMayo Clinic in Arizona · US

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI BU, GUOJUN · 1999 to 2018
$36.9M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI Walter K. Kremers · 2019 to 2026
$33.5M
PREDICTING ALZHEIMERS DISEASE WITH MAGNETIC RESONANCER01AG011378 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R. · 1993 to 2017
$12.1M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
Disease pathways in the population determined by amyloid, tau, and neurodegeneration imaging biomarkersR37AG011378 · NIA · MAYO CLINIC ROCHESTER · PI CLIFFORD R. JACK · 2018 to 2026
$6.8M
Validating the New Criteria for Preclinical Alzheimer's diseaseR01AG041851 · NIA · MAYO CLINIC ROCHESTER · PI JACK, CLIFFORD R., KNOPMAN, DAVID S · 2012 to 2021
$6.3M
Reproductive risk factors for Alzheimer's disease dementia and pathologyRF1AG055151 · NIA · MAYO CLINIC ROCHESTER · PI MIELKE, MICHELLE M, ROCCA, WALTER A · 2017 to 2017
$4.0M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
NIA NIH HHS P30 AG062677NIA NIH HHS P50 AG016574NIA NIH HHS R01 AG011378NIA NIH HHS R01 AG034676NIA NIH HHS R01 AG041851NIA NIH HHS R33 AG058738NIA NIH HHS R37 AG011378NIA NIH HHS RF1 AG055151NIA NIH HHS U01 AG006786
6 · The paper itself

Abstract

backgroundThere are detectable cognitive differences in cognitively unimpaired (CU) individuals with preclinical Alzheimer's disease (AD).

objectiveTo determine whether cross-sectional performance on the Cogstate Brief Battery (CBB) and Auditory Verbal Learning Test (AVLT) could identify 1) CU participants with preclinical AD defined by neuroimaging biomarkers of amyloid and tau, and 2) incident mild cognitive impairment (MCI)/dementia.

methodCU participants age 50+ were eligible if they had 1) amyloid (A) and tau (T) imaging within two years of their baseline CBB or 2) at least one follow-up visit. AUROC analyses assessed the ability of measures to differentiate groups. We explored the frequency of cross-sectional subtle objective cognitive impairment (sOBJ) defined as performance ≤-1 SD on CBB Learning/Working Memory Composite (Lrn/WM) or AVLT delayed recall using age-corrected normative data.

resultsA+T+ (n = 33, mean age 79.5) and A+T- (n = 61, mean age 77.8) participants were older than A-T- participants (n = 146, mean age 66.3), and comparable on sex and education. Lrn/WM did not differentiate A + T+or A+T- from A-T- participants. AVLT differentiated both A+T+ and A+T- from A-T- participants; 45% of A+T+ and 25% of A+T- participants met sOBJ criteria. The follow-up cohort included 150 CU individuals who converted to MCI/dementia and 450 age, sex, and education matched controls. Lrn/WM and AVLT differentiated between stable and converter CU participants.

conclusionAmong CU participants, AVLT helped differentiate A+T+ and A+T- from A-T- participants. The CBB did not differentiate biomarker subgroups, but showed potential for predicting incident MCI/dementia. Results inform future definitions of sOBJ.

Indexed as

Neuropsychological TestsAgedAged, 80 and overAlzheimer DiseaseAuditory PerceptionCognitive DysfunctionCross-Sectional StudiesDisease ProgressionFemaleHumansMaleMiddle AgedPositron-Emission TomographyPrognosisProspective StudiesVerbal LearningAmyloidCognigramconversionmemoryneuropsychologyone backone card learningsensitivity and specificitysubtle cognitive declinetau

Identifiers

PMID32538841
PMCPMC7546579
OpenAlexW3034468188

What OpenQuestion holds

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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.