Evidence map›Paper›PMID 36204175›Full record

ArticleInnovations in clinical neuroscience

Abnormality of Contingent Negative Variation Correlates with Parkinson's Disease Severity.

Plamen Tzvetanov, Ivan Lisichkov, Rossen T Rousseff, Vishwajit Hegde, Sergey Kostadinov

Open access · greenAbstract read
In one paragraph

Article in Innovations in clinical neuroscience. 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
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

5 authors at 4 institutions in 2 countries.

Plamen TzvetanovProf. Tzvetanov is with the Department of Clinical Neurophysiology, Broomfield Hospital Mid Essex Hospital Trust in Broomfield, United Kingdom.
Ivan LisichkovDr. Lisichkov is with the Department of Neurology, Multiprofile Hospital for Active Treatment of Russe in Ruse, Bulgaria.
Rossen T RousseffDr. Rousseff is with the Medical University of Pleven, Bulgaria.
Vishwajit HegdeDr. Hegde is a Consultant Neurologisy and Neurophysiologist, University Hospitals of Coventry and Warwickshire in Conventry, United Kingdom.
Sergey KostadinovDr. Kostadinov is an Assistant Professor, Department of General Medicine, Forensic Medicine and Deontology, Faculty of Public Health, Medical University in Pleven, Bulgaria.
Medical University Pleven · BGBroomfield Hospital · GBNational Institute of Emergency Medicine "Pirogov" · BGUniversity Hospitals Coventry and Warwickshire NHS Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: We sought to assess the influence of Parkinson's disease (PD) on contingent negative variation (CNV). Patients and Methods: This prospective study included 49 patients with PD (69.7±16.5; 35 male) and 35 age- and sex-matched controls. The PD cohort was subdivided, according to the Hoehn-Yahr Scale, Unified Parkinson's Disease Rating Scale (UPDRS), and UPDRS Part III, into 30 cases of uncomplicated PD and 19 cases of advanced PD. CNV was recorded over the frontal and central vertex with a linked bimastoid reference using a dual-stimulus paradigm with interstimulus intervals (ISIs) of 1.7 and 2.0 seconds. Results: In advanced PD, the amplitude of the late CNV over the central vertex was markedly reduced ( Conclusion: Late CNV amplitude was significantly abnormal in PD and correlated with the severity of the motor manifestations.

Indexed as

CNVParkinson’s diseaseslow cortical potentials

Identifiers

PMID36204175
PMCPMC9507138
OpenAlexW4303503289

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.