Evidence map›Paper›PMID 33589537›Full record

ArticleNeurology2021

Association of Digital Clock Drawing With PET Amyloid and Tau Pathology in Normal Older Adults.

Dorene M Rentz, Kathryn V Papp, Danielle V Mayblyum, Justin S Sanchez, Hannah Klein, William Souillard-Mandar, Reisa A Sperling, Keith A Johnson

Open access · greenAbstract read
In one paragraph

Article in Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed, 2 pooled it
8.4field-weighted citation impact, top 1% 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

58 citing papers in PubMed, 2 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Computer Vision Scoring of Figure Copy and Recall.medRxiv : the preprint server for health sciences · 2026
    Article
  6. Cognitive Trajectories from Preclinical Alzheimer's Disease to Dementia.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  16. Detecting Alzheimer's disease using digital virtual reality cognitive tests.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  17. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 2 countries.

Dorene M RentzFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA. drentz@bwh.harvard.edu.ORCID 0000-0002-6318-9213
Kathryn V PappFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA.
Danielle V MayblyumFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA.
Justin S SanchezFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA.ORCID 0000-0003-4421-3078
Hannah KleinFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA.
William Souillard-MandarFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA.
Reisa A SperlingFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA.ORCID 0000-0003-1535-6133
Keith A JohnsonFrom the Department of Neurology (D.M.R., K.V.P., D.V.M., J.S.S., H.K., R.A.S., K.A.J.) and Division of Nuclear Medicine and Molecular Imaging, Department of Radiology (K.A.J.), Massachusetts General Hospital, Harvard Medical School; Center for Alzheimer Research and Treatment, Department of Neurology (D.M.R., K.V.P., R.A.S., K.A.J.), Brigham and Women's Hospital, Harvard Medical School, Boston; Digital Cognition Technologies (W.S.-M.); and Linus Health Inc (W.S.-M.), Waltham, MA.
Brigham and Women's Hospital · US

Funding

Vascular factors, physical activity, and inflammation as modulators of neurodegenerative and cognitive trajectories (Project 2)P01AG036694 · NIA · MASSACHUSETTS GENERAL HOSPITAL · PI Rachel Frances Buckley, Keith A. Johnson · 2010 to 2026
$50.2M
Mentoring Imaging Research in Early ADK24AG035007 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI SPERLING, REISA A. · 2010 to 2020
$1.4M
NIA NIH HHS K24 AG035007NIA NIH HHS P01 AG036694
6 · The paper itself

Abstract

objectiveTo determine whether a digital clock-drawing test, DCTclock, improves upon standard cognitive assessments for discriminating diagnostic groups and for detecting biomarker evidence of amyloid and tau pathology in clinically normal older adults (CN).

methodsParticipants from the Harvard Aging Brain Study and the PET laboratory at Massachusetts General Hospital were recruited to undergo the DCTclock, standard neuropsychological assessments including the Preclinical Alzheimer Cognitive Composite (PACC), and amyloid/tau PET imaging. Receiver operating curve analyses were used to assess diagnostic and biomarker discriminability. Logistic regression and partial correlations were used to assess DCTclock performance in relation to PACC and PET biomarkers.

resultsA total of 300 participants were studied. Among the 264 CN participants, 143 had amyloid and tau PET imaging (Clinical Dementia Rating [CDR] 0, Mini-Mental State Examination [MMSE] 28.9 ± 1.2). An additional 36 participants with a diagnosis of mild cognitive impairment or early Alzheimer dementia (CDR 0.5, MMSE 25.2 ± 3.9) were added to assess diagnostic discriminability. DCTclock showed excellent discrimination between diagnostic groups (area under the receiver operating characteristic curve 0.86). Among CN participants with biomarkers, the DCTclock summary score and spatial reasoning subscores were associated with greater amyloid and tau burden and showed better discrimination (Cohen d = 0.76) between Aβ± groups than the PACC (d = 0.30).

conclusionDCTclock discriminates between diagnostic groups and improves upon traditional cognitive tests for detecting biomarkers of amyloid and tau pathology in CN older adults. The validation of such digitized measures has the potential of providing an efficient tool for detecting early cognitive changes along the AD trajectory. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that DCTclock results were associated with amyloid and tau burden in CN older adults.

Indexed as

Amyloid beta-PeptidesNeuropsychological Teststau ProteinsAdultAgedAged, 80 and overAlzheimer DiseaseBrainCognitive DysfunctionCross-Sectional StudiesFemaleHumansMaleMiddle AgedPositron-Emission TomographyAmyloid beta-Peptidestau Proteins

Identifiers

PMID33589537
PMCPMC8105970
OpenAlexW3132183957

What OpenQuestion holds

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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.