Evidence map›Paper›PMID 32489019›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2020

Sequences of cognitive decline in typical Alzheimer's disease and posterior cortical atrophy estimated using a novel event-based model of disease progression.

Nicholas C Firth, Silvia Primativo, Emilie Brotherhood, Alexandra L Young, Keir X X Yong, Sebastian J Crutch, Daniel C Alexander, Neil P Oxtoby

Open access · hybridAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Staging and Pseudotime Inference of Alzheimer's Disease Progression using Multimodal Imaging Data.Proceedings. IEEE International Conference on Healthcare Informatics · 2026
    Article
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  7. Stage-Aware Event-Based Modeling (SA-EBM) for Disease Progression.Proceedings of machine learning research · 2025
    Article
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  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. sEBM: Scaling Event Based Models to Predict Disease Progression via Implicit Biomarker Selection and Clustering.Information processing in medical imaging : proceedings of the ... conference · 2023
    Article
  16. Article
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  19. Review
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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

8 authors at 4 institutions in 3 countries.

Nicholas C FirthCentre for Medical Image Computing, Department of Computer Science, UCL, London, WC1E 6BT, UK.
Silvia PrimativoDepartment of Human Science, LUMSA University, Rome, Italy.
Emilie BrotherhoodDementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
Alexandra L YoungCentre for Medical Image Computing, Department of Computer Science, UCL, London, WC1E 6BT, UK.
Keir X X YongDementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
Sebastian J CrutchDementia Research Centre, UCL Queen Square Institute of Neurology, UCL, London, WC1N 3BG, UK.
Daniel C AlexanderCentre for Medical Image Computing, Department of Computer Science, UCL, London, WC1E 6BT, UK.
Neil P OxtobyCentre for Medical Image Computing, Department of Computer Science, UCL, London, WC1E 6BT, UK.
University College London · GBKing's College London · GBLibera Università Maria SS. Assunta · ITNational Hospital for Neurology and Neurosurgery · GB

Funding

Medical Research Council MR/S03546X/1Medical Research Council MR/T027800/1UKRI MRC MR/S03546X/1
6 · The paper itself

Abstract

introductionThis work aims to characterize the sequence in which cognitive deficits appear in two dementia syndromes.

methodsEvent-based modeling estimated fine-grained sequences of cognitive decline in clinically-diagnosed posterior cortical atrophy (PCA) (

resultsExperiments revealed differences and similarities in the fine-grained ordering of cognitive decline in PCA (vision first) and tAD (memory first). Simulation experiments reveal that our new model equals or exceeds performance of the classic event-based model, especially for highly non-Gaussian data. DISCUSSION: Our model recovered realistic, phenotypical progression signatures that may be applied in dementia clinical trials for enrichment, and as a data-driven composite cognitive end-point.

Indexed as

Models, TheoreticalAlzheimer DiseaseAtrophyBrainCognitive DysfunctionDisease ProgressionHumansMagnetic Resonance ImagingAlzheimer's diseaseceilingcognitive declinedementiadisease progression modeleffectfloorkernel density estimatenon-Gaussiannonparametric mixture modelposterior cortical atrophy

Identifiers

PMID32489019
PMCPMC8432168
OpenAlexW3031318751

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.