Evidence map›Paper›PMID 35557837›Full record

ArticleFrontiers in aging neuroscience2022

The Key Factors Predicting Dementia in Individuals With Alzheimer's Disease-Type Pathology.

Andrew N McCorkindale, Ellis Patrick, James A Duce, Boris Guennewig, Greg T Sutherland

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Quantification of Alzheimer disease neuropathology using tissue microarrays.Journal of neuropathology and experimental neurology · 2025
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  10. Observational
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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

5 authors at 2 institutions in 2 countries.

Andrew N McCorkindaleCharles Perkins Centre and School of Medical Sciences, Faculty of Health and Medicine, The University of Sydney, Sydney, NSW, Australia.
Ellis PatrickSchool of Mathematics and Statistics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
James A DuceThe ALBORADA Drug Discovery Institute, Cambridge Biomedical Campus, University of Cambridge, Cambridge, United Kingdom.
Boris GuennewigBrain and Mind Centre and School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Greg T SutherlandCharles Perkins Centre and School of Medical Sciences, Faculty of Health and Medicine, The University of Sydney, Sydney, NSW, Australia.
University of Sydney · AUUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dementia affects millions of individuals worldwide, yet there are no effective treatments. Alzheimer's disease, the most common form of dementia, is characterized by amyloid and tau pathology with amyloid accumulation thought to precipitate tau pathology, neurodegeneration, and dementia. The Religious Orders Study and Memory and Aging Project (ROSMAP) cohort is a unique resource with quantitative pathology from multiple brain regions, RNA sequencing, and longitudinal cognitive data. Our previous work applying machine learning to the RNA sequencing data identified lactoferrin (LTF) as the gene most predictive of amyloid accumulation with a potential amyloidogenic mechanism identified

Indexed as

Alzheimer’s diseasecognitionmachine learningpathologytranscriptomics

Identifiers

PMID35557837
PMCPMC9085578
OpenAlexW4224565026

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.