Evidence map›Paper›PMID 37718801›Full record

Trial reportJournal of Alzheimer's disease : JAD2023

Precision Medicine for Preventing Alzheimer's Disease: Analysis of the ADAPT Study.

Sid E O'Bryant, Fan Zhang, Leigh A Johnson, James Hall, Melissa Petersen, Esther S Oh, Constantine G Lyketsos, Robert A Rissman

Abstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Precision medicine for Alzheimer's disease in Down syndrome.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Review
  3. Immune modulation to treat Alzheimer's disease.Molecular neurodegeneration · 2025
    Review
  4. Article
  5. 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

8 authors at 4 institutions in 1 country.

Sid E O'BryantInstitute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA.
Fan ZhangInstitute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA.
Leigh A JohnsonInstitute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA.
James HallInstitute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA.
Melissa PetersenInstitute for Translational Research, University of North Texas Health Science Center, Fort Worth, TX, USA.
Esther S OhDepartment of Medicine, Johns Hopkins School of Medicine, Baltimore, USA.
Constantine G LyketsosDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Robert A RissmanDepartment of Neurosciences, UCSD School of Medicine, La Jolla, CA, USA.
University of North Texas · USPrecision for Medicine (United States) · USUniversity of North Texas Health Science Center · USVA San Diego Healthcare System · US

Funding

Health and Aging Brain among Latino Elders (HABLE-AT(N)) StudyR01AG058533 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI JOHNSON, LEIGH A, O'BRYANT, SID E · 2020 to 2025
$45.4M
Health Disparities in Alzheimer's Disease and Mild Cognitive Impairment among Mexican AmericansR01AG054073 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI O'BRYANT, SID E, TOGA, ARTHUR W · 2017 to 2021
$12.6M
NIA NIH HHS R01 AG054073NIA NIH HHS R01 AG058533
6 · The paper itself

Abstract

backgroundThe Alzheimer's Disease Anti-inflammatory Prevention Trial (ADAPT) was the first-ever large-scale anti-inflammatory prevention trial targeting Alzheimer's disease.

objectiveThe overall goal of this study was to evaluate predictive blood biomarker profiles that identified individuals most likely to be responders on NSAID treatment or placebo at 12 and 24 months.

methodsBaseline (n = 193) and 12-month (n = 562) plasma samples were assayed. The predictive biomarker profile was generated using SVM analyses with response on treatment (yes/no) as the outcome variable.

resultsBaseline (AUC = 0.99) and 12-month (AUC = 0.99) predictive biomarker profiles were highly accurate in predicting response on Celecoxib arm at 12 and 24 months. The baseline (AUC = 0.95) and 12-month (AUC = 0.9) predictive biomarker profile predicting response on Naproxen were also highly accurate at 12 and 24 months. The baseline (AUC = 0.93) and 12-month (AUC = 0.99) predictive biomarker profile was also highly accurate in predicting response on placebo. As with our prior work, the profiles varied by treatment arm.

conclusionsThe current results provide additional support for a precision medicine model for treating and preventing Alzheimer's disease.

Indexed as

Alzheimer DiseaseAnti-Inflammatory Agents, Non-SteroidalCelecoxibPrecision MedicineAgedAged, 80 and overBiomarkersDouble-Blind MethodFemaleHumansMaleNaproxenAnti-Inflammatory Agents, Non-SteroidalBiomarkersCelecoxibNaproxenAlzheimer’s diseasebioinformaticsbiomarkersclinical trialinflammationprecision medicinepreventionproteomics

Identifiers

PMID37718801
PMCPMC13270990
OpenAlexW4386768854

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.