Evidence map›Paper›PMID 31792573›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2020

The A/T/N model applied through imaging biomarkers in a memory clinic.

Alessandra Dodich, Aline Mendes, Frédéric Assal, Christian Chicherio, Barinjaka Rakotomiaramanana, Paulina Andryszak, Cristina Festari, Federica Ribaldi, Max Scheffler, Roger Schibli and 8 more

Abstract read
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In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
  2. Investigating AD and non-AD [European journal of nuclear medicine and molecular imaging · 2026
    Article
  3. Article
  4. Article
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  6. Article
  7. Resilience in Alzheimer's disease: Impact of operationalization and methodological choices.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  8. Establishing tau-PET cut-points for cognitive diagnosis withImaging neuroscience (Cambridge, Mass.) · 2025
    Article
  9. Article
  10. A deep learning model for generating [European journal of nuclear medicine and molecular imaging · 2024
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. The impact of tau deposition and hypometabolism on cognitive impairment and longitudinal cognitive decline.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  19. Review
  20. Plasma biomarkers for Alzheimer's disease: a field-test in a memory clinic.Journal of neurology, neurosurgery, and psychiatry · 2023
    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

18 authors.

Alessandra DodichNIMTlab, Neuroimaging and Innovative Molecular Tracers Laboratory, University of Geneva, 4 rue Gabrielle-Perret-Gentil, CH-1211, Geneva 14, Switzerland. alessandra.dodich@unige.ch.ORCID 0000-0001-9140-0699
Aline MendesDepartment of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Frédéric AssalCognitive Neurology Unit, Department of Neurology, Geneva University Hospitals, Geneva, Switzerland.
Christian ChicherioMemory Center - Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Barinjaka RakotomiaramananaLANVIE - Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland.
Paulina AndryszakMemory Center - Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Cristina FestariLANE - Laboratory of Alzheimer's Neuroimaging and Epidemiology, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy.
Federica RibaldiLANVIE - Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland.
Max SchefflerRadiology Division, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
Roger SchibliDepartment of Chemistry and Applied Biosciences, Institute of Pharmaceutical Sciences, ETH Zurich, Zurich, Switzerland.
Adam J SchwarzTakeda Pharmaceutical Company Ltd, Cambridge, MA, USA.
Dina ZekryDepartment of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Karl-Olof LövbladNeurodiagnostic and Neurointerventional Division, Diagnostic Department, Geneva University Hospitals, Geneva, Switzerland.
Marina BoccardiLANVIE - Laboratory of Neuroimaging of Aging, University of Geneva, Geneva, Switzerland.
Paul G UnschuldHospital for Psychogeriatric Medicine, Psychiatric University Hospital Zurich (PUK), Zurich, Switzerland.
Gabriel GoldDepartment of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Giovanni B FrisoniMemory Center - Department of Rehabilitation and Geriatrics, Geneva University Hospitals, Geneva, Switzerland.
Valentina GaribottoNIMTlab, Neuroimaging and Innovative Molecular Tracers Laboratory, University of Geneva, 4 rue Gabrielle-Perret-Gentil, CH-1211, Geneva 14, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe A/T/N model is a research framework proposed to investigate Alzheimer's disease (AD) pathological bases (i.e., amyloidosis A, neurofibrillary tangles T, and neurodegeneration N). The application of this system on clinical populations is still limited. The aim of the study is to evaluate the topography of T distribution by 18F-flortaucipir PET in relation to A and N and to describe the A/T/N status through imaging biomarkers in memory clinic patients.

methodsEighty-one patients with subjective and objective cognitive impairment were classified as A+/A- and N+/N- through amyloid PET and structural MRI. Tau deposition was compared across A/N subgroups at voxel level. T status was defined through a global cut point based on A/N subgroups and subjects were categorized following the A/T/N model.

resultsA+N+ and A+N- subgroups showed higher tau burden compared to A-N- group, with A+N- showing significant deposition limited to the medial and lateral temporal regions. Global cut point discriminated A+N+ and A+N- from A-N- subjects. On A/T/N classification, 23% of patients showed a negative biomarker profile, 58% fell within the Alzheimer's continuum, and 19% of the sample was characterized by non-AD pathologic change.

conclusionMedial and lateral temporal regions represent a site of significant tau accumulation in A+ subjects and possibly a useful marker of early clinical changes. This is the first study in which the A/T/N model is applied using 18F-flortaucipir PET in a memory clinic population. The majority of patients showed a profile consistent with the Alzheimer's continuum, while a minor percentage showed a profile suggestive of possible other neurodegenerative diseases. These results support the applicability of the A/T/N model in clinical practice.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBiomarkersHumansNeurofibrillary TanglesPositron-Emission TomographyBiomarkers18F-flortaucipirAlzheimer’s diseaseA/T/N modelPET

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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.