Evidence map›Paper›PMID 32920625›Full record

ArticleThe journal of prevention of Alzheimer's disease2020

The Trial-Ready Cohort for Preclinical and Prodromal Alzheimer's Disease (TRC-PAD): Experience from the First 3 Years.

S Walter, O G Langford, T B Clanton, G A Jimenez-Maggiora, R Raman, M S Rafii, E J Shaffer, R A Sperling, J L Cummings, P S Aisen

Open access · diamondAbstract read
In one paragraph

Article in The journal of prevention of Alzheimer's disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

14 citing papers in PubMed, 19 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.

S WalterS. Walter, Alzheimer's Therapeutic Research Institute, University of Southern California, San Diego, CA, USA, waltersa@usc.edu.
O G Langford
T B Clanton
G A Jimenez-Maggiora
R Raman
M S Rafii
E J Shaffer
R A Sperling
J L Cummings
P S Aisen
University of Southern California · USHarvard University · USLou Ruvo Brain Institute · US

Funding

Trial-Ready Cohort for Preclinical/Prodromal Alzheimer's DiseaseR01AG053798 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AISEN, PAUL S., CUMMINGS, JEFFREY L. · 2017 to 2022
$39.4M
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 R01 AG053798
6 · The paper itself

Abstract

backgroundThe Trial-Ready Cohort for Preclinical and Prodromal Alzheimer's disease (TRC-PAD) aims to accelerate enrollment for Alzheimer's disease (AD) clinical trials by remotely identifying and tracking individuals who are at high risk for developing symptoms of AD, and referring these individuals to in-person cognitive and biomarker evaluation with the purpose of engaging them in clinical trials. A risk algorithm using statistical modeling to predict brain amyloidosis will be refined as TRC-PAD advances with a maturing data set.

objectivesTo provide a summary of the steps taken to build this Trial-Ready cohort (TRC) and share results of the first 3 years of enrollment into the program.

designParticipants are remotely enrolled in the Alzheimer Prevention Trials (APT) Webstudy with quarterly assessments, and through an algorithm identified as potentially at high risk, referred to clinical sites for biomarker confirmation, and enrolled into the TRC.

settingBoth an online study and in-clinic non-interventional cohort study.

participantsAPT Webstudy participants are aged 50 or older, with an interest in participation in AD therapeutic trials. TRC participants must have a study partner, stable medical condition, and elevated brain amyloid, as measured by amyloid positron emission tomography or cerebrospinal fluid analysis. Additional risk assessments include apolipoprotein E genotyping. MEASUREMENTS: In the APT Webstudy, participants complete the Cognitive Function Index and Cogstate Brief Battery. The TRC includes the Preclinical Alzheimer's Cognitive Composite, comprised of the Free and Cued Selective Reminding Test, the Delayed Paragraph Recall score on the Logical Memory IIa test from the Wechsler Memory Scale, the Digit-Symbol Substitution test from the Wechsler Adult Intelligence Scale-Revised, and the Mini Mental State Examination total score (1).

resultsDuring the first 3 years of this program, the APT Webstudy has 30,650 consented participants, with 23 sites approved for in person screening, 112 participants have been referred for in-clinic screening visits with eighteen enrolled to the TRC. The majority of participants consented to APT Webstudy have a family history of AD (62%), identify as Caucasian (92.5%), have over twelve years of formal education (85%), and are women (73%). Follow up rates for the first quarterly assessment were 38.2% with 29.5% completing the follow up Cogstate Battery.

conclusionsAfter successfully designing and implementing this program, the study team's priority is to improve diversity of participants both in the APT Webstudy and TRC, to continue enrollment into the TRC to our target of 2,000, and to improve longitudinal retention, while beginning the process of referring TRC participants into clinical trials.

Indexed as

Patient SelectionAgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesBiomarkersClinical Trials as TopicFemaleHumansLongitudinal StudiesMaleMiddle AgedNeuropsychological TestsProdromal SymptomsProgram DevelopmentAmyloid beta-PeptidesBiomarkersAlzheimer’s diseasepreventionremote studywebstudy

Identifiers

PMID32920625
PMCPMC7767585
OpenAlexW3081025304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.