Evidence map›Paper›PMID 37212093›Full record

ArticleJournal of Alzheimer's disease : JAD2023

Associations of the Harvard Automated Phone Task and Alzheimer's Disease Pathology in Cognitively Normal Older Adults: Preliminary Findings.

Christopher Gonzalez, Kayden J Mimmack, Rebecca E Amariglio, J Alex Becker, Jasmeer P Chhatwal, Colleen D Fitzpatrick, Jennifer R Gatchel, Keith A Johnson, Zoe S Katz, Madeline K Kuppe and 11 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2023. 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
0.7field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Trial
  2. Article
  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

21 authors at 6 institutions in 1 country.

Christopher GonzalezDepartment of Psychology, Illinois Institute of Technology, Chicago, IL, USA.
Kayden J MimmackDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Rebecca E AmariglioDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
J Alex BeckerDepartment of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Jasmeer P ChhatwalDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Colleen D FitzpatrickDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Jennifer R GatchelDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Keith A JohnsonDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Zoe S KatzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Madeline K KuppeCognitive Neuroimaging Laboratory, Graduate Program for Neuroscience, Boston University, Boston, MA, USA.
Joseph J LocascioDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Onyinye J UdeoguDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Kathryn V PappDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Pranitha PremnathDepartment of Psychology, The Graduate Center, City University of New York, New York, NY, USA.
Michael J ProperziDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Dorene M RentzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Aaron P SchultzDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Reisa A SperlingDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Patrizia VanniniDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Sharon WangDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Gad A MarshallDepartment of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Harvard University · USMassachusetts General Hospital · USBrigham and Women's Hospital · USBoston University · USCity University of New York · USIllinois Institute of Technology · US

Funding

Novel automated performance-based ADL outcomes for early AD clinical trialsR01AG053184 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI MARSHALL, GAD ASHER · 2018 to 2023
$4.5M
Characterizing the evolution of Subjective Cognitive Decline in preclinical Alzheimer's diseaseR01AG058825 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI AMARIGLIO, REBECCA E · 2019 to 2024
$4.0M
NIA NIH HHS R01 AG053184NIA NIH HHS R01 AG058825
6 · The paper itself

Abstract

backgroundDetecting clinically meaningful changes in instrumental activities of daily living (IADL) at the earliest stages of Alzheimer's disease (AD) is critical.

objectiveThe objective of this exploratory study was to examine the cross-sectional relationship between a performance-based IADL test, the Harvard Automated Phone Task (APT), and cerebral tau and amyloid burden in cognitively normal (CN) older adults.

methodsSeventy-seven CN participants underwent flortaucipir tau and Pittsburgh Compound B amyloid PET. IADL were assessed using the three Harvard APT tasks: prescription refill (APT-Script), health insurance company call (APT-PCP), and bank transaction (APT-Bank). Linear regression models were used to determine associations between each APT task and entorhinal cortex, inferior temporal, or precuneus tau with or without an interaction with amyloid.

resultsSignificant associations were found between APT-Bank task rate and interaction between amyloid and entorhinal cortex tau, and APT-PCP task and interactions between amyloid and inferior temporal and precuneus tau. No significant associations were found between the APT tasks and tau or amyloid alone.

conclusionOur preliminary findings suggest an association between a simulated real-life IADL test and interactions of amyloid and several regions of early tau accumulation in CN older adults. However, some analyses were underpowered due to the small number of participants with elevated amyloid, and findings should be interpreted with caution. Future studies will further explore these associations cross-sectionally and longitudinally in order to determine whether the Harvard APT can serve as a reliable IADL outcome measure for preclinical AD prevention trials and ultimately in the clinic setting.

Indexed as

Alzheimer DiseaseCognitive DysfunctionActivities of Daily LivingAgedAmyloidAmyloid beta-PeptidesAmyloidogenic ProteinsEntorhinal CortexHumansPositron-Emission Tomographytau ProteinsAmyloidAmyloid beta-PeptidesAmyloidogenic Proteinstau ProteinsAlzheimer’s diseaseamyloidcognitiondementiaearly detectionimaginginstrumental activities of daily livingpositron emission tomographytau

Identifiers

PMID37212093
PMCPMC10330453
OpenAlexW4377091200

What OpenQuestion holds

Textmetadata
LicenceTDM
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.