Evidence map›Paper›PMID 28979203›Full record

ArticleFrontiers in aging neuroscience2017

Parkinson's Disease Subtypes Identified from Cluster Analysis of Motor and Non-motor Symptoms.

Jesse Mu, Kallol R Chaudhuri, Concha Bielza, Jesus de Pedro-Cuesta, Pedro Larrañaga, Pablo Martinez-Martin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing papers in PubMed
6.7field-weighted citation impact, top 3% 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

68 citing papers in PubMed, 130 citations in OpenAlex.

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8 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 3 countries.

Jesse MuDepartment of Computer Science, Boston CollegeChestnut Hill, MA, United States.
Kallol R ChaudhuriDepartment of Basic and Clinical Neuroscience, The Maurice Wohl Clinical Neuroscience Institute, King's College LondonLondon, United Kingdom.
Concha BielzaComputational Intelligence Group, Department of Artificial Intelligence, Universidad Politécnica de MadridMadrid, Spain.
Jesus de Pedro-CuestaNational Center of Epidemiology, Instituto de Salud Carlos IIIMadrid, Spain.
Pedro LarrañagaComputational Intelligence Group, Department of Artificial Intelligence, Universidad Politécnica de MadridMadrid, Spain.
Pablo Martinez-MartinNational Center of Epidemiology, Instituto de Salud Carlos IIIMadrid, Spain.
Instituto de Salud Carlos III · ESUniversidad Politécnica de Madrid · ESBoston College · USKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease is now considered a complex, multi-peptide, central, and peripheral nervous system disorder with considerable clinical heterogeneity. Non-motor symptoms play a key role in the trajectory of Parkinson's disease, from prodromal premotor to end stages. To understand the clinical heterogeneity of Parkinson's disease, this study used cluster analysis to search for subtypes from a large, multi-center, international, and well-characterized cohort of Parkinson's disease patients across all motor stages, using a combination of cardinal motor features (bradykinesia, rigidity, tremor, axial signs) and, for the first time, specific validated rater-based non-motor symptom scales. Two independent international cohort studies were used: (a) the validation study of the Non-Motor Symptoms Scale (

Indexed as

cluster analysismotor symptomsnon-motor symptomsParkinson's diseasesubtypes

Identifiers

PMID28979203
PMCPMC5611404
OpenAlexW2755226788

What OpenQuestion holds

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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.