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ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2025

Screening properties of the updated normative framework for the Italian MMSE in MCI and dementia.

Edoardo Nicolò Aiello, Federico Verde, Beatrice Curti, Giulia De Luca, Lorenzo Diana, Martina Andrea Sirtori, Alessio Maranzano, Chiara Curatoli, Alice Zanin, Elisa Camporeale and 5 more

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Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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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
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4 · The record

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5 · Who and what money

Authors and funding

15 authors.

Edoardo Nicolò Aiello *Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Federico Verde *Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy. f.verde@auxologico.it.ORCID http://orcid.org/0000-0002-3977-6995
Beatrice CurtiDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Giulia De LucaDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Lorenzo DianaLaboratory of Neuropsychology, Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Martina Andrea SirtoriLaboratory of Neuropsychology, Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Alessio MaranzanoDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Chiara CuratoliDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Alice ZaninDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Elisa CamporealeDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Alessandra GnesaDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Vincenzo SilaniDepartment of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Nadia BologniniLaboratory of Neuropsychology, Department of Neurorehabilitation Sciences, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Nicola Ticozzi *Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.
Barbara Poletti *Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto Auxologico Italiano, Milano, Italy.

Funding

Ministero della Salute Ministero della Salute
6 · The paper itself

Abstract

backgroundThis study aimed to assess the screening properties of Foderaro et al.s' updated normative framework for the Italian MMSE in detecting mild cognitive impairment (MCI) and dementia due to neurodegenerative, chronic cerebrovascular, and mixed etiologies, as well as in differentiating between these two syndromes.

methodsData on 234 patients with either MCI (N = 83) or dementia (N = 151) due to Alzheimer's disease (N = 112), Lewy body disease (N = 11), frontotemporal lobar degeneration (N = 20), chronic cerebrovascular disease (N = 39), or mixed (N = 47) etiologies having been administered Foderaro et al.'s version of the MMSE were retrospectively recruited. Moreover, N = 247 healthy controls (HCs) with a normal Montreal Cognitive Assessment performance were prospectively recruited. Receiver-operating characteristics analyses were run to test the capability of both raw and demographically adjusted MMSE scores to discriminate both HCs from MCI/dementia and MCI from dementia. For these comparisons, screening metrics were also computed at Foderaro et al.'s cut-off (<26.02).

resultsThe capability of demographically adjusted MMSE scores to discriminate both HCs from dementia and MCI from dementia was excellent (AUC = 0.91 and 0.93, respectively), whilst good for MCI case-finding (AUC = 0.85). Consistently, the screening metrics associated with the cut-off at hand were optimal-to-excellent for dementia case-finding (sensitivity = 0.95; specificity = 0.99) and for the differentiation between MCI and dementia (sensitivity = 0.95; specificity = 0.64), whilst imbalanced for detecting MCI (sensitivity = 0.35; specificity = 0.99). DISCUSSION: Foderaro et al.'s updated normative framework for the Italian MMSE has optimal screening properties for both dementia case-finding and the discrimination between MCI and dementia, being at variance unbalanced towards specificity when it comes to detecting MCI.

Indexed as

Cognitive DysfunctionDementiaMental Status and Dementia TestsAgedAged, 80 and overFemaleHumansItalyMaleMiddle AgedNeuropsychological TestsRetrospective StudiesROC CurveCognitive screeningDementiaMild cognitive impairmentMini-mental state examination

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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.