Evidence map›Paper›PMID 41797865›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)

Comparative methods for determining MoCA, MMSE, and CDR cut-offs in Alzheimer's disease: insights from the ADNI study.

Samir Atiya, Briseis Aschebrook-Kilfoy, Sreenivas Konda, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Samir AtiyaUniversity of Chicago Medical Center University of Chicago Chicago Illinois US.ORCID https://orcid.org/0000-0002-1838-2946
Briseis Aschebrook-KilfoyUniversity of Chicago Biologic Sciences Division University of Chicago Chicago Illinois US.
Sreenivas KondaUniversity of Chicago Biologic Sciences Division University of Chicago Chicago Illinois US.
Alzheimer's Disease Neuroimaging Initiative

Funding

Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
NIEHS NIH HHS P30 ES027792
6 · The paper itself

Abstract

introductionAccurate cut-off values for the Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), and Clinical Dementia Rating (CDR) are essential for detecting and staging Alzheimer's disease-related cognitive impairment. Prior studies often relied on a single statistical method, potentially misaligning thresholds with clinical priorities.

methodsWe analyzed cognitive assessments from 883 Alzheimer's Disease Neuroimaging Initiative participants classified as cognitively normal, mild cognitive impairment (MCI), or clinical impairment (CI). Optimal thresholds were identified using Euclidean distance, Index of Union, maximum product of sensitivity and specificity, and Youden's J Index. Sensitivity, specificity, and area under the curve were calculated.

resultsFor MCI, MoCA cut-offs were 24 (three methods) and 25 (Youden's J Index). For CI, MoCA cut-offs were 17 (Youden's J Index) and 18 (others). MMSE (28, 24) and CDR (0.5, 1) cut-offs were consistent. DISCUSSION: MoCA thresholds vary by method, requiring context-specific selection, while MMSE and CDR cut-offs remain stable.

Indexed as

ADNIAlzheimer's diseaseCDRcognitive impairmentcut‐off methodsdiagnostic thresholdsMMSEMoCA

Identifiers

PMID41797865
PMCPMC12961348

What OpenQuestion holds

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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.