Evidence map›Paper›PMID 32918697›Full record

ArticleAging clinical and experimental research2021

Clinical and demographic parameters predict the progression from mild cognitive impairment to dementia in elderly patients.

Giovanni Zuliani, Michele Polastri, Tommaso Romagnoli, Lisa Marabini, Davide Seripa, Carlo Cervellati, Amedeo Zurlo, Angelina Passaro, Gloria Brombo

Open access · hybridAbstract read
In one paragraph

Article in Aging clinical and experimental research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Cognitive markers of resilience to dementia in mild Neurocognitive Impairment: a meta- analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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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

9 authors at 3 institutions in 1 country.

Giovanni ZulianiDepartment of Morphology, Surgery, and Medical Sciences, University of Ferrara, Azienda Ospedaliero-Universitaria S. Anna, 44100, Ferrara, Italy. zlngnn@unife.it.
Michele PolastriDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Tommaso RomagnoliDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Lisa MarabiniDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Davide SeripaResearch Laboratory, Complex Structure of Geriatrics, Department of Medical Sciences, Fondazione IRCCS Casa Sollievo Della Sofferenza, San Giovanni Rotondo, Italy.
Carlo CervellatiDepartment of Biomedical and Specialist Surgical Sciences, University of Ferrara, Ferrara, Italy.
Amedeo ZurloDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Angelina PassaroDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
Gloria BromboDepartment of Medical Sciences, University of Ferrara, Ferrara, Italy.
University of Ferrara · ITArcispedale Sant'Anna · ITCasa Sollievo della Sofferenza · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the possibility of predicting the risk of progression from mild cognitive impairment (MCI) to dementia using a combination of clinical/demographic parameters.

methodsA total of 462 MCI elderly patients (follow-up: 33 months). Variable measured included cognitive functions, age, gender, MCI type, education, comorbidities, clinical chemistry, and functional status.

resultsAmnestic type (aMCI) represented 63% of the sample, non-amnestic (naMCI) 37%; 190 subjects progressed to dementia, 49% among aMCI, and 28% among naMCI. At Cox multivariate regression analysis, only MMSE (one point increase HR 0.84; 95% CI 0.79-0.90), aMCI (HR 2.35; 95% CI 1.39-3.98), and age (1 year increase HR 1.05; 95% CI 1.01-1.10) were independently associated with progression to dementia. A score was created based on these dichotomized variables (score 0-3): age (≥ or < 78 years), MMSE score (≥ or < 25/30) and aMCI type. The conversion rate progressed from 6% in subjects with score 0 (negative predictive value: 0.94), to 31% in individuals with score 1, to 53% in subjects with score 2, to 72% in individuals with score 3 (positive predictive value: 0.72). ROC curve analysis showed an area under the curve of 0.72 (95% CI 0.66-0.75, p 0.0001).

conclusionsWe have described a simple score, based on previously recognized predictors such as age, MMSE, and MCI type, which may be useful for an initial stratification of the risk of progression to dementia in patients affected by MCI. The score might help the clinicians to evaluate the need for more expansive/invasive examinations and for a closer follow-up in MCI patients.

Indexed as

Cognitive DysfunctionDementiaAgedDemographyDisease ProgressionHumansNeuropsychological TestsPredictive Value of TestsAgingCox regressionDementiaFollow-upMild cognitive impairment

Identifiers

PMID32918697
PMCPMC8249246
OpenAlexW3085893483

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.