Evidence map›Paper›PMID 28550344›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2017

Diagnosing mild cognitive impairment in Parkinson's disease: which tests perform best in the Italian population?

Angela Federico, Michela Trentin, Giampietro Zanette, Daniela Mapelli, Alessandro Picelli, Nicola Smania, Michele Tinazzi, Stefano Tamburin

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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, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.2field-weighted citation impact, top 45% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 3 institutions in 1 country.

Angela FedericoDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Piazzale Scuro 10, 37134, Verona, Italy.
Michela TrentinNeurology Unit Pederzoli Hospital, Peschiera del Garda, Italy.
Giampietro ZanetteNeurology Unit Pederzoli Hospital, Peschiera del Garda, Italy.
Daniela MapelliDepartment of General Psychology, Human Inspired Technologies Research Center, University of Padua, Padua, Italy.
Alessandro PicelliDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Piazzale Scuro 10, 37134, Verona, Italy.
Nicola SmaniaDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Piazzale Scuro 10, 37134, Verona, Italy.
Michele TinazziDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Piazzale Scuro 10, 37134, Verona, Italy.
Stefano TamburinDepartment of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Piazzale Scuro 10, 37134, Verona, Italy. stefano.tamburin@univr.it.ORCID http://orcid.org/0000-0002-1561-2187
University of Verona · ITCasa di Cura Villa Garda · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mild cognitive impairment (MCI) is common in patients with Parkinson's disease (PD) and should be recognized early because it represents a predictor of PD-related dementia and worse disease course. Diagnostic criteria for PD-related MCI (PD-MCI) have recently been defined by a Movement Disorders Society (MDS) task force. The present study explored which neuropsychological tests perform best for a level II (i.e., comprehensive neuropsychological assessment) diagnosis of PD-MCI according to the MDS task force criteria in Italian-speaking PD patients. To this aim, we assessed a comprehensive 23-item neuropsychological battery, derived the best-performing 10-test battery (i.e., two tests per domain for each of the five cognitive domains), and explored its accuracy for diagnosing PD-MCI in comparison to the full battery in a group of PD patients. A secondary aim was to explore the role of this battery for subtyping PD-MCI according to single-domain vs. multiple-domain involvement. The 10-test battery showed 73% sensitivity and 100% specificity for diagnosing PD-MCI, and 69% sensitivity and 100% specificity for PD-MCI subtyping. In patients older than 70 years, we derived a slightly different 10-test battery with 84% sensitivity and 100% specificity for PD-MCI diagnosis, and 86% sensitivity and 100% specificity for PD-MCI subtyping. These 10-item neuropsychological batteries might represent a good trade-off between diagnostic accuracy and time of application, and their role in PD-MCI diagnosis and subtyping should be further explored in future prospective studies.

Indexed as

Activities of Daily LivingAdultAgedAged, 80 and overCognitive DysfunctionFemaleHumansItalyMaleMiddle AgedNeuropsychological TestsParkinson DiseaseROC CurveSeverity of Illness IndexStatistics, NonparametricCognitive testsDementiaMild cognitive impairmentNeuropsychologyParkinson’s disease

Identifiers

PMID28550344
OpenAlexW2620330345

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.