Evidence map›Paper›PMID 39966022›Full record

Trial reportThe journal of prevention of Alzheimer's disease2025

Eligibility for donanemab trial in a population-based study of cognitive aging.

Katherine E Jones, Jeremiah A Aakre, Anna M Castillo, Vijay K Ramanan, Walter K Kremers, Clifford R Jack, Prashanthi Vemuri, Christopher G Schwarz, Val J Lowe, David S Knopman and 3 more

Abstract readClinical Trial, Phase III
In one paragraph

Trial report in The journal of prevention of Alzheimer's disease, 2025. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Review
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

13 authors.

Katherine E JonesDepartment of Neurology, Mayo Clinic, Rochester, MN, USA; Wake Forest University, Winston-Salem, NC, USA.
Jeremiah A AakreDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Anna M CastilloDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Vijay K RamananDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Walter K KremersDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Prashanthi VemuriDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Christopher G SchwarzDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.
Val J LoweDepartment 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.
Jonathan Graff-RadfordDepartment of Neurology, Mayo Clinic, Rochester, MN, USA.
Maria VassilakiDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA. Electronic address: vassilaki.maria@mayo.edu.

Funding

SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI KEJAL KANTARCI · 2019 to 2026
$33.5M
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
Development, Validation, and Application of an Imaging based CVD ScaleR01NS097495 · NINDS · MAYO CLINIC ROCHESTER · PI VEMURI, PRASHANTHI · 2016 to 2020
$2.9M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR33AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2020 to 2022
$2.4M
Interdisciplinary Infrastructure for Aging Research: Rochester Epidemiology ProjectR21AG058738 · NIA · MAYO CLINIC ROCHESTER · PI LEBRASSEUR, NATHAN K, OLSON, JANET E · 2018 to 2019
$437k
NIA NIH HHS P30 AG062677NIA NIH HHS R01 AG041851NIA NIH HHS R21 AG058738NIA NIH HHS R33 AG058738NIA NIH HHS R37 AG011378NIA NIH HHS U01 AG006786NINDS NIH HHS R01 NS097495
6 · The paper itself

Abstract

The study aimed to assess eligibility for donanemab phase 3 trial in participants of the Mayo Clinic Study of Aging with mild cognitive impairment (MCI) or mild dementia consistent with Alzheimer's disease (AD) clinical syndrome, positive brain amyloid burden, and available tau PET. There were 817 study participants, 60-85 years old, with MCI or dementia consistent with AD clinical syndrome. Applying the Mini-Mental State Examination criteria (20 to 28) and excluding participants with imaging contraindications reduced the sample to 769; 275 participants had amyloid PET available, of whom 130 had also tau PET at the same visit; 56 participants were amyloid positive, had tau PET available at the same visit, and of those, 27 had evidence of tau pathology measured by 18F-flortaucipir PET imaging. Additional eligibility criteria reduced the eligible participants to 23 % (13 out of 56 participants). Neuroimaging findings, central nervous system exclusions, and history of malignancy were the major exclusions.

Indexed as

Alzheimer DiseaseCognitive AgingCognitive DysfunctionEligibility DeterminationPatient SelectionAgedAged, 80 and overAntibodies, Monoclonal, HumanizedBrainFemaleHumansMaleMiddle AgedPositron-Emission Tomographytau ProteinsAntibodies, Monoclonal, Humanizeddonanemabtau ProteinsClinical trialsDonanemabEligibility

Identifiers

PMID39966022
PMCPMC11970969

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.