Evidence map›Paper›PMID 40564976›Full record

ArticleInternational journal of molecular sciences2025

Comprehensive Anatomical Staging Predicts Clinical Progression in Mild Cognitive Impairment: A Data-Driven Approach.

Raghav Tandon, Yajun Mei, James J Lah, Cassie S Mitchell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Raghav TandonLaboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA.ORCID 0000-0003-2603-4930
Yajun MeiDepartment of Biostatistics, School of Global Public Health, New York University, New York, NY 10003, USA.
James J LahAlzheimer's Disease Research Center, Department of Neurology, Emory University School of Medicine, Atlanta, GA 30329, USA.ORCID 0000-0002-8810-620X
Cassie S MitchellLaboratory for Pathology Dynamics, Department of Biomedical Engineering, Georgia Institute of Technology and Emory University School of Medicine, Atlanta, GA 30332, USA.ORCID 0000-0002-5472-6355

Funding

Regulatory and Human Study Operations (RHSO) Core CU19AG065169 · NIA · UNIVERSITY OF ARIZONA · PI SCHORK, NICHOLAS JOSEPH · 2021 to 2025
$59.8M
The Emory Healthy Brain Study: Discovering Predictive Biomarkers for Alzheimer's DiseaseR01AG070937 · NIA · EMORY UNIVERSITY · PI LAH, JAMES J · 2021 to 2025
$35.2M
Integrative predictive medicine to identify disease causes, develop cures, and optimize patient careR35GM152245 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI Cassie S Mitchell · 2024 to 2026
$1.1M
Chan Zuckerberg Initiative 253558National Science Foundation 194427NIA NIH HHS R01 AG070937NIA NIH HHS U19 AG065169NIGMS NIH HHS R35 GM152245NIH HHS R01 AG070937NIH HHS R35GM152245NIH HHS RD004723NIH HHS U19 AG056169
6 · The paper itself

Abstract

Alzheimer's disease (AD) presents significant challenges in clinical practice due to its heterogeneous manifestation and variable progression rates. This work develops a comprehensive anatomical staging framework to predict progression from mild cognitive impairment (MCI) to AD. Using the ADNI database, the scalable Subtype and Stage Inference (s-SuStaIn) model was applied to 118 neuroanatomical features from cognitively normal (

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAged, 80 and overAmyloid beta-PeptidesBiomarkersBrainDisease ProgressionFemaleHumansMaleMiddle AgedNeuropsychological TestsPositron-Emission TomographyPrognosisAmyloid beta-PeptidesBiomarkersagingAlzheimer’s disease progressionartificial intelligencebehavioral neurologycognitive decline predictiondisease heterogeneitymild cognitive impairmentneurodegeneration

Identifiers

PMID40564976
PMCPMC12193007

What Socratic 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 Socratic graph.