Evidence map›Paper›PMID 37982060›Full record

ArticleDiabetes spectrum : a publication of the American Diabetes Association2023

Usefulness of the Montreal Cognitive Assessment in Older Adults With Type 1 Diabetes.

James Choe, Rachel Kudrna, Luciana Mascarenhas Fonseca, Naomi S Chaytor

Open access · greenAbstract read
In one paragraph

Article in Diabetes spectrum : a publication of the American Diabetes Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

James ChoeElson S. Floyd College of Medicine, Washington State University, Spokane, WA.
Rachel KudrnaElson S. Floyd College of Medicine, Washington State University, Spokane, WA.
Luciana Mascarenhas FonsecaElson S. Floyd College of Medicine, Washington State University, Spokane, WA.
Naomi S ChaytorElson S. Floyd College of Medicine, Washington State University, Spokane, WA.ORCID https://orcid.org/0000-0001-8821-289X
Washington State University Spokane · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Older adults with type 1 diabetes are at high risk for cognitive impairment, yet the usefulness of common cognitive screening instruments has not been evaluated in this population. Methods: A total of 201 adults ≥60 years of age with type 1 diabetes completed a battery of neuropsychological measures and the Montreal Cognitive Assessment (MoCA). Receiver operating characteristic (ROC) curves and Youden indices were used to evaluate overall screening test performance and to select an optimal MoCA cutoff score for detecting low cognitive performance, as defined as two or more neuropsychological test performances ≥1.5 SD below demographically corrected normative data. Results: The ROC area under the curve (AUC) was 0.745 ( Conclusions: The MoCA has modest overall performance (AUC 0.745) as a cognitive screening instrument in older adults with type 1 diabetes. The standard cutoff score of <26/30 may not adequately detect individuals with neuropsychological testing-defined abnormal cognition. The optimal MoCA cutoff score (based on the Youden index) was <27/30. A score of <28 resulted in acceptable sensitivity but was accompanied by low specificity (42%). Future studies with a more diverse population are needed to confirm these findings.

Identifiers

PMID37982060
PMCPMC10654125
OpenAlexW4386533274

What OpenQuestion holds

Textmetadata
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.