Evidence map›Paper›PMID 38196332›Full record

ArticleJournal of the American Geriatrics Society2024

Is the Montreal cognitive assessment culturally valid in a diverse geriatric primary care setting? Lessons from the Bronx.

Marnina B Stimmel, Ariela R Orkaby, Emmeline Ayers, Joe Verghese, Celeste K Nsubayi, Erica F Weiss

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Marnina B StimmelDepartments of Neurology and Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.ORCID 0000-0001-8880-4510
Ariela R OrkabyNew England GRECC, VA Boston Healthcare System, Boston, Massachusetts, USA.
Emmeline AyersDepartments of Neurology and Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.
Joe VergheseDepartments of Neurology and Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.
Celeste K NsubayiDepartments of Neurology and Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.
Erica F WeissDepartments of Neurology and Medicine, Montefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.
Albert Einstein College of Medicine · USBrigham and Women's Hospital · US

Funding

5-Cog Paradigm to Improve Detection of Cognitive Impairment in Primary Care: Pragmatic Clinical TrialU01NS105565 · NINDS · STATE UNIVERSITY NEW YORK STONY BROOK · PI MALAZ BOUSTANI, JOE VERGHESE · 2022 to 2026
$6.3M
5-Cog Battery to improve detection of cognitive impairment and dementiaUG3NS105565 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI VERGHESE, JOE · 2017 to 2018
$1.4M
Statins for Primary Prevention of Cardiovascular Disease and FrailtyIK2CX001800 · VA · VA BOSTON HEALTH CARE SYSTEM · PI ORKABY, ARIELA R · 2019 to 2023
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CSRD VA IK2 CX001800NIA NIH HHS U01NS105565NIA NIH HHS UG3NS105565NINDS NIH HHS U01 NS105565NINDS NIH HHS UG3 NS105565
6 · The paper itself

Abstract

backgroundEfficacy and validity of the MoCA for cognitive screening in ethnoculturally and linguistically diverse settings is unclear. We sought to examine the utility and discriminative validity of the Spanish and English MoCA versions to identify cognitive impairment among diverse community-dwelling older adults.

methodsParticipants aged ≥65 with cognitive concerns attending outpatient primary care in Bronx, NY, were recruited. MoCA and neuropsychological measures were administered in Spanish or English, and a neuropsychologist determined cognitive status (normal with subjective cognitive concerns [SCC], mild cognitive impairment [MCI], and dementia). One-way ANOVA compared cognitive statuses. ROC analyses identified optimal MoCA cutpoints for discriminating possible cognitive impairment.

resultsThere were 231 participants, with mean age 73, 72% women, 43% Hispanic; 39% Black/African American; 113 (49%) completed testing in English and 118 (51%) in Spanish. Overall MoCA mean was 17.7 (SD = 4.3). Neuropsychological assessment identified 90 as cognitively normal/SCC, average MoCA 19.9 (SD = 4.1), 133 with MCI, average MoCA 16.6 (SD = 3.7), and 8 with dementia, average MoCA 10.6 (SD = 3.1). Mean English MoCA average was 18.6 (SD = 4.1) versus Spanish 16.7 (SD = 4.3). The published cutpoint ≤23 for MCI yielded a high false-positive rate (79%). ROC analyses identified ≤18.5 as the score to identify MCI or dementia using the English MoCA (65% sensitivity; 77% specificity) and ≤16.5 for the Spanish MoCA (64% sensitivity;73% specificity) in this sample of older adults with cognitive concerns.

conclusionsCurrent MoCA cutpoints were inappropriately high in a culturally/linguistically diverse urban setting, leading to a high false-positive rate. Lower Spanish and English MoCA cutpoints may improve diagnostic accuracy for identifying cognitive impairment in this group, highlighting the need for the creation and validation of accurate cognitive screeners for ethnoculturally and linguistically diverse older adults.

Indexed as

Cognitive DysfunctionDementiaAgedFemaleHumansMaleMental Status and Dementia TestsNeuropsychological TestsPrimary Health CareReproducibility of ResultsSensitivity and Specificitycognitive screeningdementia screeningdiverse older adultsMontreal Cognitive Assessment; MoCA

Identifiers

PMID38196332
PMCPMC10947962
OpenAlexW4390701127

What OpenQuestion holds

Textmetadata
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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.