Evidence map›Paper›PMID 33117225›Full record

ArticleFrontiers in psychology2020

Core Neuropsychological Measures for Obesity and Diabetes Trials: Initial Report.

Kimberlee D'Ardenne, Cary R Savage, Dana Small, Uku Vainik, Luke E Stoeckel

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in psychology, 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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Regression-based Norms for a Neuropsychological Screening Battery in the Filipino Population.Cognitive and behavioral neurology : official journal of the Society for Behavioral and Cognitive Neurology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Neuroeconomics Approach to Obesity.Biological psychiatry · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kimberlee D'ArdenneDepartment of Psychology, Arizona State University, Tempe, AZ, United States.
Cary R SavageDepartment of Psychology, University of Nebraska-Lincoln, Lincoln, NE, United States.
Dana SmallModern Diet and Physiology Research Center (MDPRC), Department of Psychiatry, Yale School of Medicine, Yale University, New Haven, CT, United States.
Uku VainikInstitute of Psychology, Faculty of Social Sciences, University of Tartu, Tartu, Estonia.
Luke E StoeckelNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and diabetes are known to be related to cognitive abilities. The Core Neuropsychological Measures for Obesity and Diabetes Trials Project aimed to identify the key cognitive and perceptual domains in which performance can influence treatment outcomes, including predicting, mediating, and moderating treatment outcome and to generate neuropsychological batteries comprised of well-validated, easy-to-administer tests that best measure these key domains. The ultimate goal is to facilitate inclusion of neuropsychological measures in clinical studies and trials so that we can gather more information on potential mediators of obesity and diabetes treatment outcomes. We will present the rationale for the project and three options for the neuropsychological batteries to satisfy varying time and other administration constraints. Future directions are discussed. Preprint version of the document is available at https://osf.io/preprints/nutrixiv/7jygx/.

Indexed as

cognitive controldecision-makingexecutive functionmemorymotivationperceptionrewardsensation

Identifiers

PMID33117225
PMCPMC7557362

What OpenQuestion holds

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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.