Evidence map›Paper›PMID 37609454›Full record

ArticleAlzheimer's & dementia (New York, N. Y.)

Improving comparability across cognitive training trials for brain aging: A focus on interoperability.

Adam Turnbull, Aaron Seitz, Feng V Lin

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (New York, N. Y.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 3 institutions in 1 country.

Adam TurnbullCogT Lab, Department of Psychiatry and Behavioral Sciences Stanford University Stanford California USA.ORCID https://orcid.org/0000-0002-1629-562X
Aaron SeitzCenter for Cognitive and Brain Health Northeastern University Boston Massachusetts USA.
Feng V LinCogT Lab, Department of Psychiatry and Behavioral Sciences Stanford University Stanford California USA.
Stanford University · USUniversity of California, Riverside · USUniversity of Rochester · US

Funding

Develop an ANS-based Personalized Cognitive Training for Mild Cognitive ImpairmentR33AG073356 · NIA · STANFORD UNIVERSITY · PI LIN, FENG VANKEE, TAPPARELLO, CRISTIANO · 2023 to 2025
$2.2M
NIA NIH HHS R33 AG073356
6 · The paper itself

Abstract

Cognitive training may promote healthy brain aging and prevent dementia, but results from individual studies are inconsistent. There are disagreements on how to evaluate cognitive training interventions between clinical and basic scientists. Individual labs typically create their own assessment and training materials, leading to difficulties reproducing methods. Here, we advocate for improved HIGHLIGHTS: Interoperability facilitates progress via resource sharing and comparability.Better interoperability is needed in cognitive training for brain aging research.We adapt an interoperability framework to cognitive training research.We suggest five guiding principles for improved interoperability.We propose an open-source pipeline to facilitate interoperability.

Indexed as

cognitive trainingdementiainteroperability

Identifiers

PMID37609454
PMCPMC10441567
OpenAlexW4386050089

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.