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

Predictor model for mild cognitive impairment in Parkinson's disease using visual rating scales.

Chiara Fornari, Claudia Meli, Giuseppe Rabini, Giulia Funghi, Chiara Speranza, Enrica Pierotti, Sebastian Hubner, Donatella Ottaviani, Raffaella Di Giacopo, Maria Chiara Malaguti and 9 more

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In one paragraph

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 1 paper.

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

19 authors.

Chiara FornariCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Claudia MeliCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Giuseppe RabiniCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Giulia FunghiCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Chiara SperanzaCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Enrica PierottiCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Sebastian HubnerCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Donatella OttavianiNeurology Unit, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Rovereto, TN, Italy.
Raffaella Di GiacopoNeurology Unit, Rovereto Hospital, Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Rovereto, TN, Italy.
Maria Chiara MalagutiNeurology Unit, Trento Hospital, Azienda Provinciale per i Servizi Sanitari (APSS) di Trento, Trento, Italy.
Francesca ZappiniCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Selene SchintuCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Francesca GrassivaroCognitive Impairment Center, Local Health Authority n. 2 Marca Trevigiana, Treviso, 31100, Italy.
Andrada IanusChampalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Costanza PapagnoCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Jorge JovicichCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Alessandra DodichCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Luca TurellaCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy.
Giorgio Giulio FumagalliCenter for Mind/Brain Sciences-CIMeC, University of Trento, Corso Bettini 31, Rovereto, 38068, TN, Italy. giorgio.fumagalli@unitn.it.

Funding

Fondazione Cassa Di Risparmio Di Trento E Rovereto Fondazione Cassa Di Risparmio Di Trento E RoveretoHORIZON EUROPE Marie Sklodowska-Curie Actions No 847648, fellowship code CF/BQ/PI20/11760029'la Caixa' Foundation 100010434
6 · The paper itself

Abstract

backgroundEarly detection of cognitive impairment in Parkinson's disease (PD) may reduce the risk of developing dementia. The assessment of brain atrophy may be a biomarker to differentiate between PD patients with Mild Cognitive Impairment (PD-MCI) from the unimpaired patients (PD-CU). The study aims to investigate the detection of MCI in PD through the visual rating scales of atrophy.

methodTwenty-nine PD patients underwent a cognitive assessment and a structural magnetic resonance scan. Based on the cognitive assessment, PD patients were classified as PD-CU (n = 16) and PD-MCI (n = 13). Furthermore, 12 healthy adults (HC) were included as a control group. Brain atrophy was evaluated by two raters using a protocol of visual rating scales and the inter-rater agreement was computed using the weighted Kappa. ANCOVAs and post-hoc tests were used to determine the difference in atrophy between the three groups. Logistic regression analyses were performed to identify the best predictors in the differentiation between the groups.

resultThe agreement between the raters was good to excellent. Higher scores of both the Medial Temporal lobe Atrophy (MTA) and the Occipital lobe (OC) scales were found in PD-MCI as compared to the PD-CU patients and HC. Lastly, MTA seemed a good predictor for differentiating the cognitive profile between the PD groups, while the OC between PD-MCI and HC.

conclusionVisual assessment of MTA and OC may be a useful index to support the presence of cognitive impairment in PD patients, particularly as OC atrophy also discriminates between HC and cognitively impaired PD patients.

Indexed as

BrainCognitive DysfunctionParkinson DiseaseAgedAtrophyFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuropsychological TestsBrain atrophyCognitive performanceMagnetic resonance imagingMild cognitive impairmentParkinson’s diseaseVisual rating scale

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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.