Evidence map›Paper›PMID 31994774›Full record

ArticleInternational journal of geriatric psychiatry2020

Identifying delirium in Parkinson disease: A pilot study.

Rachael A Lawson, Sarah J Richardson, Alison J Yarnall, David J Burn, Louise M Allan

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in International journal of geriatric psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06809556 (Association of Processed Electroencephalography Derived Parameters with Postoperative Delirium in Patients with Parkinson's Disease Undergoing Elective Neurosurgery), which is not on this map. Cited by 14 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 17% 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.

NCT06809556 not yet recruitingnot on this mapstarted 2025, after this paper: background citation

Association of Processed Electroencephalography Derived Parameters with Postoperative Delirium in Patients with Parkinson's Disease Undergoing Elective Neurosurgery

TypeobservationalSponsorLondon Health Sciences Centre Research Institute OR Lawson Research Institute of St. Joseph'sRan2025 to 2027Enrolled40ConditionsPost Operative Delirium, Parkinson DiseaseArmsEEG (electroencephalogram) monitoring of Parkinson's patients undergoing deep brain stimulation
3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Guideline
  3. Frailty and cognitive impairment in Parkinson's disease: a systematic review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Pooled it
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Frailty in Parkinson's disease: A systematic review and meta-analysis.Clinical parkinsonism & related disorders · 2021
    Review
  14. Identifying delirium in Parkinson disease: A pilot study.International journal of geriatric psychiatry · 2020
    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 3 institutions in 1 country.

Rachael A LawsonInstitute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.ORCID 0000-0003-2608-8285
Sarah J RichardsonInstitute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Alison J YarnallInstitute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
David J BurnFaculty of Medical Science, Newcastle University, Newcastle upon Tyne, UK.
Louise M AllanInstitute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.
Newcastle College · GBNewcastle University · GBUniversity of Exeter · GB

Funding

Department of HealthParkinson's UK K-1701
6 · The paper itself

Abstract

introductionPeople with Parkinson disease (PD) may be at increased risk of delirium and associated adverse outcomes. Delirium is an acute neuropsychiatric syndrome defined by confusion and inattention and is common in older adults. Previous studies may have underestimated the prevalence of delirium in PD because of overlapping symptoms, lack of awareness, and poorly defined criteria. We aimed to identify the prevalence and incidence of delirium in inpatients with PD. MEASUREMENTS: Participants were inpatients with PD admitted over a 4-month period. Delirium prevalence was classified using a standardised assessment at a single visit on the basis of the Diagnostic and Statistical Manual of Mental Disorders fifth edition (DSM-5) criteria. To capture remaining time in hospital, incident delirium was diagnosed using detailed clinical vignettes and a validated consensus method.

resultsForty-four PD patients consented to take part in the study, accounting for 53 admissions. Delirium prevalence was 34.0% (n = 18); reviewing participants over the duration of their hospital stay identified 30 (56.6%) incident delirium cases. The admitting team screened 24.5% for delirium, and delirium was documented in eight (14.8%) patients' medical notes. Patients with delirium were significantly older, had higher frailty scores, and had a longer hospital stay (P < .05 for all).

conclusionsDelirium is common in PD inpatients at admission and incidence increases during hospital stay, but delirium is commonly missed. Our results highlight the importance of screening for delirium throughout patients' stay in hospital. Future studies should consider frequent evaluation over the duration of hospital stay to identify emergent delirium during the admission.

Indexed as

AgedAged, 80 and overCognitionDeliriumDiagnostic and Statistical Manual of Mental DisordersFemaleHumansIncidenceInpatientsLength of StayMaleMass ScreeningParkinson DiseasePilot ProjectsPrevalencedeliriumincidenceinpatientParkinson diseaseprevalence

Identifiers

PMID31994774
PMCPMC7186820
OpenAlexW3001169891

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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.