Evidence map›Paper›PMID 39586819›Full record

ArticleInternational journal of geriatric psychiatry2024

Validation of the Quick Mild Cognitive Impairment Screen in an American Sample of Patients With Mild Cognitive Impairment and Mild Dementia.

Dariella A Fernandez, Suzanne Schmitz, Heather Foil, Robert Brouillette, Jeffrey N Keller, Robin C Hilsabeck

Abstract readValidation Study
In one paragraph

Article in International journal of geriatric psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Validation of a Web-Based Digit Symbol Substitution Task for Detection of Mild Cognitive Impairment in Older Adults.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 2026
    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

6 authors.

Dariella A FernandezDepartment of Psychology, University of Texas at Austin, Austin, Texas, USA.
Suzanne SchmitzDell Medical School, The University of Texas at Austin, Austin, Texas, USA.
Heather FoilPennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA.
Robert BrouillettePennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA.
Jeffrey N KellerPennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, USA.
Robin C HilsabeckDell Medical School, The University of Texas at Austin, Austin, Texas, USA.ORCID 0000-0001-8386-1508

Funding

Cognitive Screening Made Easy for Primary Care ProvidersR33AG069780 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI CHANG, JOSHUA TSUKANG, HILSABECK, ROBIN C · 2023 to 2025
$1.6M
Cognitive Screening Made Easy for Primary Care ProvidersR61AG069780 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI HILSABECK, ROBIN C · 2020 to 2021
$945k
NIA NIH HHS R33 AG069780NIA NIH HHS R61 AG069780NIA NIH HHS R61AG069780Oskar Fischer Fund
6 · The paper itself

Abstract

objectiveEarly detection of cognitive impairment is critical for patient outcomes, yet cognitive impairment is under identified in primary care settings largely due to time constraints. The Quick Mild Cognitive Impairment (Qmci) screen was developed to address the need for a short cognitive screening instrument (< 5 min) that is sensitive to early cognitive change but has not been validated in the United States (US). The objective of this study was to examine the classification accuracy of the Qmci in participants from two memory specialty (e.g., secondary outpatient) clinics in the US.

methodsParticipants were 152 older adults: 87 participants were cognitively normal (CN), 48 were diagnosed with mild cognitive impairment (MCI) and 17 were diagnosed with mild dementia (DEM). Classification accuracy of the Qmci and Mini Mental State Examination (MMSE) were compared in participants with and without cognitive impairment.

resultsThe Qmci demonstrated higher classification accuracy in differentiating CN from cognitively impaired participants (i.e., MCI and DEM) (AUC = 0.82) than the MMSE (AUC = 0.77). The optimal cut-off score for the Qmci was < 67, which achieved a sensitivity of 79% and specificity of 80%. The optimal MMSE cut-off score was < 27, which achieved a sensitivity of 97% and specificity of 43%.

conclusionsThe Qmci is a valid cognitive screening instrument for detecting early stages of cognitive impairment in memory clinic samples in the US. Its short administration time and increased specificity for detecting MCI make it an attractive option for use in primary care settings. Further validation of the Qmci is needed, specifically within primary care settings.

Indexed as

Cognitive DysfunctionDementiaAgedAged, 80 and overEarly DiagnosisFemaleHumansMaleMass ScreeningMental Status and Dementia TestsMiddle AgedNeuropsychological TestsReproducibility of ResultsSensitivity and SpecificityUnited Statescognitive screeningdementiamild cognitive impairmentolder adultsprimary care

Identifiers

PMID39586819
PMCPMC11725375

What OpenQuestion holds

Textmetadata
LicenceTDM
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.