Evidence map›Paper›PMID 33343337›Full record

ArticleFrontiers in aging neuroscience2020

A 5-min Cognitive Task With Deep Learning Accurately Detects Early Alzheimer's Disease.

Ibrahim Almubark, Lin-Ching Chang, Kyle F Shattuck, Thanh Nguyen, Raymond Scott Turner, Xiong Jiang

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Ibrahim AlmubarkDepartment of Electrical Engineering and Computer Science, Catholic University of America, Washington, DC, United States.
Lin-Ching ChangDepartment of Electrical Engineering and Computer Science, Catholic University of America, Washington, DC, United States.
Kyle F ShattuckDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.
Thanh NguyenDepartment of Electrical Engineering and Computer Science, Catholic University of America, Washington, DC, United States.
Raymond Scott TurnerDepartment of Neurology, Georgetown University Medical Center, Washington, DC, United States.
Xiong JiangDepartment of Neuroscience, Georgetown University Medical Center, Washington, DC, United States.

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
Georgetown-Howard Universities Center for Clinical and Translational Science (GHUUL1TR000101 · NCATS · GEORGETOWN UNIVERSITY · PI MELLMAN, THOMAS A, VERBALIS, JOSEPH G · 2012 to 2015
$19.3M
Georgetown-Howard Universities Center for Clinical and Translational Science (GHUUL1RR031975 · NCRR · GEORGETOWN UNIVERSITY · PI VERBALIS, JOSEPH G · 2010 to 2011
$14.6M
NCATS NIH HHS UL1 TR000101NCATS NIH HHS UL1 TR001409NCRR NIH HHS UL1 RR031975
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Alzheimer's diseaseartificial neural networksinhibition of returnmachine learningneuropsychological test

Identifiers

PMID33343337
PMCPMC7744695

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.