Evidence map›Paper›PMID 31859230›Full record

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

Stratifying risk for dementia onset using large-scale electronic health record data: A retrospective cohort study.

Thomas H McCoy, Larry Han, Amelia M Pellegrini, Rudolph E Tanzi, Sabina Berretta, Roy H Perlis

Open access · bronzeAbstract 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 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 6% 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

34 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Risk factors and risk stratification approaches for delirium screening: A Geriatric Emergency Department Guidelines 2.0 systematic review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2024
    Pooled it
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  5. Predicting hospice eligibility among dementia patients using language models.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  15. Digital Neuropsychology beyond Computerized Cognitive Assessment: Applications of Novel Digital Technologies.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2024
    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

6 authors at 5 institutions in 1 country.

Thomas H McCoyCenter for Quantitative Health, Massachusetts General Hospital, Boston, MA, USA.
Larry HanDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Amelia M PellegriniCenter for Quantitative Health, Massachusetts General Hospital, Boston, MA, USA.
Rudolph E TanziGenetics and Aging Research Unit, McCance Center for Brain Health, MassGeneral Institute for Neurodegenerative Disease, Department of Neurology, Massachusetts General Hospital, Charlestown, MA, USA.
Sabina BerrettaTranslational Neuroscience Lab., Basic Neuroscience Division, McLean Hospital, Belmont, MA, USA.
Roy H PerlisCenter for Quantitative Health, Massachusetts General Hospital, Boston, MA, USA.
Massachusetts General Hospital · USHarvard University · USMaineGeneral Medical Center · USMcLean Hospital · USQuantitative BioSciences · US

Funding

Role of the Extracellular Matrix in the Pathophysiology of Alzheimer's disorder: Regulation by OTX2R01MH104488 · NIMH · MCLEAN HOSPITAL · PI BERRETTA, SABINA, WOO, TSUNG-UNG W. · 2015 to 2019
$2.8M
Natural language processing for characterizing psychopathologyR01MH106577 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2016 to 2018
$1.2M
Brain and Behavior Research FoundationNIMH NIH HHS 1R01MH106577NIMH NIH HHS R01 MH104488NIMH NIH HHS R01 MH106577
6 · The paper itself

Abstract

introductionPreventing dementia, or modifying disease course, requires identification of presymptomatic or minimally symptomatic high-risk individuals.

methodsWe used longitudinal electronic health records from two large academic medical centers and applied a validated natural language processing tool to estimate cognitive symptomatology. We used survival analysis to examine the association of cognitive symptoms with incident dementia diagnosis during up to 8 years of follow-up.

resultsAmong 267,855 hospitalized patients with 1,251,858 patient years of follow-up data, 6516 (2.4%) received a new diagnosis of dementia. In competing risk regression, an increasing cognitive symptom score was associated with earlier dementia diagnosis (HR 1.63; 1.54-1.72). Similar results were observed in the second hospital system and in subgroup analysis of younger and older patients. DISCUSSION: A cognitive symptom measure identified in discharge notes facilitated stratification of risk for dementia up to 8 years before diagnosis.

Indexed as

Disease ProgressionEarly DiagnosisDementiaElectronic Health RecordsFemaleHumansLongitudinal StudiesMaleMiddle AgedNatural Language ProcessingRetrospective StudiesAlzheimer's diseaseCognitionData miningDementiaElectronic health recordMachine learningNatural language processingPhenotypeResearch domain criteria

Identifiers

PMID31859230
PMCPMC7067642
OpenAlexW2994907641

What OpenQuestion holds

Textmetadata
LicenceTDM
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.