Evidence map›Paper›PMID 31231204›Full record

ArticleFrontiers in aging neuroscience2019

Precision Aging: Applying Precision Medicine to the Field of Cognitive Aging.

Lee Ryan, Meredith Hay, Matt J Huentelman, Audrey Duarte, Tatjana Rundek, Bonnie Levin, Anja Soldan, Corinne Pettigrew, Matthias R Mehl, Carol A Barnes

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Review
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  13. Aging precisely: Precision medicine through the lens of an older adult.Journal of the American Geriatrics Society · 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

10 authors.

Lee RyanDepartment of Psychology, College of Science, University of Arizona, Tucson, AZ, United States.
Meredith HayDepartment of Physiology, University of Arizona, Tucson, AZ, United States.
Matt J HuentelmanNeurobehavioral Research Unit, Division of Neurological Disorders, Translational Genomics Research Institute (TGen), Phoenix, AZ, United States.
Audrey DuarteCenter for Advanced Brain Imaging, School of Psychology, Georgia Institute of Technology, Atlanta, GA, United States.
Tatjana RundekClinical and Translational Research Division, Miller School of Medicine, University of Miami, Miami, FL, United States.
Bonnie LevinNeuropsychology Division, Miller School of Medicine, University of Miami, Miami, FL, United States.
Anja SoldanDepartment of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Corinne PettigrewDepartment of Neurology, School of Medicine, Johns Hopkins University, Baltimore, MD, United States.
Matthias R MehlDepartment of Psychology, College of Science, University of Arizona, Tucson, AZ, United States.
Carol A BarnesDepartment of Psychology, College of Science, University of Arizona, Tucson, AZ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current "one size fits all" approach to our cognitive aging population is not adequate to close the gap between cognitive health span and lifespan. In this review article, we present a novel model for understanding, preventing, and treating age-related cognitive impairment (ARCI) based on concepts borrowed from precision medicine. We will discuss how multiple risk factors can be classified into

Indexed as

agingcognitioncognitive declinecognitive impairmentrisk for Alzheimer’s disease

Identifiers

PMID31231204
PMCPMC6568195

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.