Evidence map›Paper›PMID 33017832›Full record

ArticleNeuroepidemiology2020

Pattern Recognition to Objectively Differentiate the Etiology of Cognitive Decline: Analysis of the Impact of Stroke and Alzheimer's Disease.

Sean A P Clouston, Lauren L Richmond, Stacey B Scott, Christian C Luhmann, Ginny Natale, Douglas Hanes, Yun Zhang, Dylan M Smith

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

Article in Neuroepidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Incidence of Mild Cognitive Impairment, Conversion to Probable Dementia, and Mortality.American journal of Alzheimer's disease and other dementias
    Article
  4. 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

8 authors at 2 institutions in 1 country.

Sean A P CloustonProgram in Public Health and Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA, sean.clouston@stonybrookmedicine.edu.
Lauren L RichmondDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.
Stacey B ScottDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.
Christian C LuhmannDepartment of Psychology, Stony Brook University, Stony Brook, New York, USA.
Ginny NataleProgram in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA.
Douglas HanesProgram in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA.
Yun ZhangProgram in Public Health, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA.
Dylan M SmithProgram in Public Health and Department of Family, Population, and Preventive Medicine, Renaissance School of Medicine at Stony Brook University, Stony Brook, New York, USA.
Stony Brook University · USStony Brook School · US

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Study Coordination and Measurement CoreP01AG043362 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI HOFER, SCOTT M. · 2013 to 2017
$7.8M
Social inequalities and the onset of Alzheimer's pathology: The role of Race/Ethnicity, cognitive reserve, and occupational complexityRF1AG058595 · NIA · STATE UNIVERSITY NEW YORK STONY BROOK · PI CLOUSTON, SEAN · 2019 to 2019
$3.3M
NIA NIH HHS P01 AG043362NIA NIH HHS RF1 AG058595NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

backgroundUndetected Alzheimer's disease (AD) and stroke neuropathology is believed to account for a large proportion of decline in cognitive performance that is attributed to normal aging. This study examined the amount of variance in age-related cognitive change that is accounted for by AD and stroke using a novel pattern recognition protocol.

methodSecondary analyses of data collected for the Health and Retirement Study (N = 17,579) were used to objectively characterize patterns of cognitive decline associated with AD and stroke. The rate of decline in episodic memory and orientation was the outcome of interest, while algorithms indicative of AD and stroke pathology were the predictors of interest.

resultsThe average age of the sample was 67.54 ± 10.45 years at baseline, and they completed, on average, 14.20 ± 3.56 years of follow-up. After adjusting for demographics, AD and stroke accounted for approximately half of age-associated decline in cognition (51.07-55.6% for orientation and episodic memory, respectively) and explained variance attributed to random slopes in longitudinal multilevel models. DISCUSSION: The results of this study suggested that approximately half of the cognitive decline usually attributed to normal aging are more characteristic of AD and stroke.

Indexed as

AgedAgingAlgorithmsAlzheimer DiseaseBrainCognitive DysfunctionDiagnosis, DifferentialFemaleFollow-Up StudiesHumansMaleMemory, EpisodicMiddle AgedOrientationStrokeUnited StatesAdaptive diagnosticsCerebrovascular diseaseNeuroepidemiologyPattern recognition

Identifiers

PMID33017832
PMCPMC7726036
OpenAlexW3089441499

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.