Evidence map›Paper›PMID 38495777›Full record

ArticleFrontiers in psychiatry2023

Prediction of cognitive impairment using higher order item response theory and machine learning models.

Lihua Yao, Yusuke Shono, Cindy Nowinski, Elizabeth M Dworak, Aaron Kaat, Shirley Chen, Rebecca Lovett, Emily Ho, Laura Curtis, Michael Wolf and 2 more

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

12 authors.

Lihua YaoDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Yusuke ShonoSchool of Community and Global Health, Claremont Graduate University, Claremont, CA, United States.
Cindy NowinskiDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Elizabeth M DworakDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Aaron KaatDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Shirley ChenTransitional Year Residency, Aurora St. Luke's Medical Center, Milwaukee, WI, United States.
Rebecca LovettDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Emily HoDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Laura CurtisDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Michael WolfDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Richard GershonDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.
Julia Yoshino BenaventeDepartment of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, United States.

Funding

The MobileToolbox for Monitoring Cognitive Function - Technical CoreU2CAG060426 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI RICHARD GERSHON · 2018 to 2026
$35.0M
ToolBox Detect: Low Cost Detection of Cognitive Decline in Primary Care SettingsR01AG069762 · NIA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD, NOWINSKI, CINDY J. · 2020 to 2025
$6.4M
MyCog - Rapid detection of cognitive impairment in everyday clinical settingsUG3NS105562 · NINDS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI GERSHON, RICHARD, WOLF, MICHAEL S · 2017 to 2017
$552k
NIA NIH HHS R01 AG069762NIA NIH HHS U2C AG060426NINDS NIH HHS UG3 NS105562
6 · The paper itself

Abstract

Timely detection of cognitive impairment (CI) is critical for the wellbeing of elderly individuals. The MyCog assessment employs two validated iPad-based measures from the NIH Toolbox

Indexed as

cognitive impairmentdeep learninghigher order item response theoryimpairmentIRTmachine learningMyCogNIH Toolbox

Identifiers

PMID38495777
PMCPMC10940331

What OpenQuestion holds

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LicenceCC BY
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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.