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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 65 out of 100. Getting a diagnosis

Topic: Risk, prevention and care in population studies

Background The Montreal Cognitive Assessment (MoCA) was developed to enable earlier detection of mild cognitive impairment (MCI) relative to familiar multi-domain tests like the Mini-Mental State Exam (MMSE). Clinicians need to better understand the relationship between MoCA and MMSE scores. Methods For this cross-sectional study, we analyzed 219 healthy control (HC), 299 MCI, and 100 Alzheimer's disease (AD) dementia cases from the Alzheimer's Disease Neuroimaging Initiative (ADNI)-GO/2 database to evaluate MMSE and MoCA score distributions and select MoCA values to capture early and late MCI cases. Stepwise variable selection in logistic regression evaluated relative value of four test domains for separating MCI from HC. Functional Activities Questionnaire (FAQ) was evaluated as a strategy to separate dementia from MCI. Equi-percentile equating produced a translation grid for MoCA against MMSE scores. Receiver Operating Characteristic (ROC) analyses evaluated lower cutoff scores for capturing the most MCI cases. Results Most dementia cases scored abnormally, while MCI and HC score distributions overlapped on each test. Most MCI cases scored ≥ 17 on MoCA (96.3%) and ≥ 24 on MMSE (98.3%). The ceiling effect (28-30 points) for MCI and HC was less using MoCA (18.1%) versus MMSE (71.4%). MoCA and MMSE scores correlated most for dementia (r = 0.86; versus MCI r = 0.60; HC r = 0.43). Equi-percentile equating showed a MoCA score of 18 was equivalent to MMSE of 24. ROC analysis found MoCA ≥ 17 as the cutoff between MCI and dementia that emphasized high sensitivity (92.3%) to capture MCI cases. The core and orientation domains in both tests best distinguished HC from MCI groups, whereas comprehension/executive function and attention/calculation were not helpful. Mean FAQ scores were significantly higher and a greater proportion had abnormal FAQ scores in dementia than MCI and HC. Conclusions MoCA and MMSE were more similar for dementia cases, but MoCA distributes MCI cases across a broader score range with less ceiling effect. A cutoff of ≥ 17 on the MoCA may help capture early and late MCI cases; depending on the level of sensitivity desired, ≥ 18 or 19 could be used. Functional assessment can help exclude dementia cases. MoCA scores are translatable to the MMSE to facilitate comparison.

Key findings

Why it matters

In this cross-sectional analysis of 219 healthy controls, 299 mild cognitive impairment and 100 Alzheimer's dementia cases, most dementia cases scored abnormally while mild cognitive impairment and healthy control score distributions overlapped on both tests, and the ceiling effect was less using MoCA than MMSE. This describes how two cognitive tests relate to each other for assessment, and does not test any treatment, cure or prevention.

Study details

How this study scored 65/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 2 of 4; Study design 4 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 2 of 4; Effect reported 2 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 6 of 7; Citations per year 4 of 5; Impact for its field and year 5 of 6; Cited by studies here 3 of 6; Still being cited 3 of 4; Senior author's track record 4 of 4; Institution's track record 2 of 3; Multi-centre collaboration 2 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. Total 65 of 100.65 of 100 points earned35 not earned

Published in a peer-reviewed journal, and it is a snapshot of people at one point in time. Scored zero for randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (BMC geriatrics)
Journal's citation record 2 / 4 BMC Geriatrics: journal h-index 153 (OpenAlex, 2026-10-29)
Study design 4 / 12 A snapshot of people at one point in time
Strength of evidence 1 / 5 Rated “low” in our summary
Peer-review validation 10 / 10 Peer-reviewed. Published as an article in a named peer-reviewed journal.
How recent 1 / 5 2015 — within 20 year(s) of the newest study here
Sample size 2 / 4 219 participants
Effect reported 2 / 3 Effect reported as a number, without an interval or test
Studied in people 3 / 3 Studied in people (participant count stated)
Randomised / blinded 0 / 2 No randomisation or blinding stated — scores zero (not stated in the record — scored 0)
Times cited 6 / 7 Cited 605 times (OpenAlex, 2026-10-10)
Citations per year 4 / 5 46.5 citations a year over 13 year(s) since 2015
Impact for its field and year 5 / 6 Cited 26.6× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 3 / 6 Cited by 17 other studies in this library
Still being cited 3 / 4 Cited 164 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Andrew J. Saykin: h-index 154 (OpenAlex, whole career)
Institution's track record 2 / 3 University College London: institution h-index 2,029 (OpenAlex)
Multi-centre collaboration 2 / 3 OpenAlex lists 4 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 26346644)
Free to read 2 / 2 Free to read
Total 65 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).

Cite this study APA, Vancouver, BibTeX · download .bib or .ris

Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.

APA 7th

Trzepacz, P. T., Hochstetler, H., Wang, S., Walker, B., Saykin, A. J., & Alzheimer’s Disease Neuroimaging Initiative. (2015). Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. BMC geriatrics. https://doi.org/10.1186/s12877-015-0103-3

Vancouver

Trzepacz PT, Hochstetler H, Wang S, Walker B, Saykin AJ, Alzheimer’s Disease Neuroimaging Initiative. Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults. BMC geriatrics. 2015. doi:10.1186/s12877-015-0103-3. PMID: 26346644.

BibTeX

@article{trzepacz2015-26346644,
  author  = {Trzepacz, P. T. and Hochstetler, H. and Wang, S. and Walker, B. and Saykin, A. J. and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Relationship between the Montreal Cognitive Assessment and Mini-mental State Examination for assessment of mild cognitive impairment in older adults}},
  journal = {BMC geriatrics},
  year    = {2015},
  doi     = {10.1186/s12877-015-0103-3},
  pmid    = {26346644},
  url     = {https://doi.org/10.1186/s12877-015-0103-3}
}

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