Evidence map›Paper›PMID 35936598›Full record

ArticleAnnals of Indian Academy of Neurology

Deficits in Emotion Perception and Cognition in Patients with Parkinson's Disease: A Systematic Review.

Mohit Gothwal, Shyam Sundar Arumugham, Ravi Yadav, Pramod K Pal, Shantala Hegde

Abstract read
In one paragraph

Article in Annals of Indian Academy of Neurology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Mohit GothwalDepartment of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Shyam Sundar ArumughamDepartment of Psychiatry, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Ravi YadavDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Pramod K PalDepartment of Neurology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.
Shantala HegdeDepartment of Clinical Psychology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Funding

DBT-Wellcome Trust India Alliance IA/CPHI/17/1/503348Wellcome Trust
6 · The paper itself

Abstract

Non-motor symptoms (NMS) are common among Parkinson's disease (PD) patients and have a significant impact on quality of life. NMS such as deficits in emotion perception are gaining due focus in the recent times. As emotion perception and cognitive functions share certain common neural substrates, it becomes pertinent to evaluate existing emotion perception deficits in view of underlying cognitive deficits. The current systematic review aimed at examining studies on emotion perception PD in the last decade. We carried out a systematic review of 44 studies from the PubMed database. We reviewed studies examining emotion perception and associated cognitive deficits, especially executive function and visuospatial function in PD. This review also examines how early and advanced PD differ in emotion perception deficits and how the presence of common neuropsychiatric conditions such as anxiety, apathy, and depression as well as neurosurgical procedure such as deep brain stimulation affect emotion perception. The need for future research employing a comprehensive evaluation of neurocognitive functions and emotion perception is underscored as it has a significant bearing on planning holistic intervention strategies.

Indexed as

Cognitive deficitsemotion perceptionnon-motor symptomsParkinson's disease

Identifiers

PMID35936598
PMCPMC9350746

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.