Evidence map›Paper›PMID 34239130›Full record

ReviewNature reviews. Neurology2021

Developing the ATX(N) classification for use across the Alzheimer disease continuum.

Harald Hampel, Jeffrey Cummings, Kaj Blennow, Peng Gao, Clifford R Jack, Andrea Vergallo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 205 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
205citing papers in PubMed, 9 pooled it
26.9field-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

205 citing papers in PubMed, 9 syntheses or guidelines pooled it, 289 citations in OpenAlex.

  1. Pooled it
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  4. Practical Brain MRI Guidelines for Anti-Aβ Antibody Treatment in Early Symptomatic Alzheimer's Disease.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Guideline
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  8. Systematic review ofFrontiers in aging neuroscience · 2023
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145 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 2 countries.

Harald HampelNeurology Business Group, Eisai Inc., Woodcliff Lake, NJ, USA. harald_hampel@eisai.com.ORCID http://orcid.org/0000-0003-0894-8982
Jeffrey CummingsChambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas (UNLV), Las Vegas, NV, USA.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.ORCID http://orcid.org/0000-0002-1890-4193
Peng GaoNeurology Business Group, Eisai Inc., Woodcliff Lake, NJ, USA.
Clifford R JackDepartment of Radiology, Mayo Clinic, Rochester, MN, USA.ORCID http://orcid.org/0000-0001-7916-622X
Andrea VergalloNeurology Business Group, Eisai Inc., Woodcliff Lake, NJ, USA.
Eisai (United States) · USMayo Clinic in Arizona · USSahlgrenska University Hospital · SEUniversity of Nevada, Las Vegas · US

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Paul S. Aisen · 2016 to 2026
$226.7M
The Alzheimer's Clinical Trial Consortium - Down Syndrome Network (ACTC- DSN)U24AG057437 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Paul S. Aisen, RONALD C PETERSEN · 2018 to 2026
$198.4M
DISCOVERY - Statistics and Analysis CoreU19NS115388 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI Steven M Greenberg, Natalia S Rost · 2019 to 2026
$75.4M
Early Onset AD Consortium - the LEAD Study (LEADS)U01AG057195 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI APOSTOLOVA, LIANA G, CARRILLO, MARIA C · 2018 to 2023
$70.3M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
US POINTER Neuroimaging Ancillary StudyR01AG062689 · NIA · UNIVERSITY OF CALIFORNIA BERKELEY · PI LANDAU, SUSAN M · 2019 to 2025
$47.3M
Combination anti-amyloid therapy for preclinical Alzheimer's diseaseR01AG061848 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI AISEN, PAUL S., JOHNSON, KEITH A. · 2018 to 2024
$43.9M
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
DIAN-TU Next Generation Prevention Trial - Data Request Management SupplementR01AG053267 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2017 to 2023
$34.9M
Research Education ComponentP30AG062677 · NIA · MAYO CLINIC ROCHESTER · PI NILUFER ERTEKIN-TANER · 2019 to 2026
$33.5M
NHLBI NIH HHS U01HL96812NIA NIH HHS P30AG62677NIA NIH HHS R01AG053798NIA NIH HHS R01AG40282NIA NIH HHS R01 AG41851NIA NIH HHS R01AG43392NIA NIH HHS R01AG49704NIA NIH HHS R01AG51406NIA NIH HHS R01AG53267NIA NIH HHS R01AG54029NIA NIH HHS R01AG54449NIA NIH HHS R01AG54491NIA NIH HHS R01AG54787NIA NIH HHS R01 AG55444NIA NIH HHS R01AG55469NIA NIH HHS R01 AG56366NIA NIH HHS R01AG58676NIA NIH HHS R01AG59798NIA NIH HHS R01AG60502NIA NIH HHS R01AG61848NIA NIH HHS R01AG62689NIA NIH HHS R01AG63689NIA NIH HHS R37AG11378NIA NIH HHS RF1AG50745NIA NIH HHS RF1AG55151NIA NIH HHS RF1AG58729NIA NIH HHS U01AG06786NIA NIH HHS U01 AG57195NIA NIH HHS U19AG24904NIA NIH HHS U24AG57437NIA NIH HHS U24AG67418NIA NIH HHS U29AG32438NIGMS NIH HHS P20GM109025NINDS NIH HHS R01NS92625NINDS NIH HHS R01NS97495NINDS NIH HHS U01NS093334NINDS NIH HHS U19NS115388
6 · The paper itself

Abstract

Breakthroughs in the development of highly accurate fluid and neuroimaging biomarkers have catalysed the conceptual transformation of Alzheimer disease (AD) from the traditional clinical symptom-based definition to a clinical-biological construct along a temporal continuum. The AT(N) system is a symptom-agnostic classification scheme that categorizes individuals using biomarkers that chart core AD pathophysiological features, namely the amyloid-β (Aβ) pathway (A), tau-mediated pathophysiology (T) and neurodegeneration (N). This biomarker matrix is now expanding towards an ATX(N) system, where X represents novel candidate biomarkers for additional pathophysiological mechanisms such as neuroimmune dysregulation, synaptic dysfunction and blood-brain barrier alterations. In this Perspective, we describe the conceptual framework and clinical importance of the existing AT(N) system and the evolving ATX(N) system. We provide a state-of-the-art summary of the potential contexts of use of these systems in AD clinical trials and future clinical practice. We also discuss current challenges related to the validation, standardization and qualification process and provide an outlook on the real-world application of the AT(N) system.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBiomarkersHumansNeuroimagingtau ProteinsAmyloid beta-PeptidesBiomarkerstau Proteins

Identifiers

PMID34239130
OpenAlexW3182597378

What OpenQuestion holds

Textmetadata
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.