Evidence map›Paper›PMID 32741841›Full record

ReviewJournal of Parkinson's disease2020

Multimorbidity and Frailty: Tackling Complexity in Parkinson's Disease.

Emma Tenison, Emily J Henderson

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of Parkinson's disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 8% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. COVID-19 and Parkinson's Disease: What Do We Know So Far?Journal of Parkinson's disease · 2021
    Pooled it
  2. Review
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  20. Prevalence and associated factors of frailty and sarcopenia in multiple system atrophy and progressive supranuclear palsy: a cross-sectional study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    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

2 authors at 1 institution in 1 country.

Emma TenisonDepartment of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Emily J HendersonDepartment of Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
University of Bristol · GB

Funding

Department of Health 16/31/13
6 · The paper itself

Abstract

Parkinson's disease (PD) is a condition that predominantly affects older people. It is imperative that clinical management considers the other significant illnesses that people with PD accumulate as they age in conjunction with their resilience to cope with physiological change. Multimorbidity and frailty act synergistically to heighten the risk of adverse outcomes for older people with PD. These states are associated with increased likelihood of hospitalization, polypharmacy, adverse drug effects including the anticholinergic burden of medications, drug-disease and drug-drug interactions. Management should be integrated, holistic and individualised to meticulously balance the risks of interventions considering the vulnerability of the individual to recover from disturbance to their environmental, physical and cognitive equilibrium.

Indexed as

Frail ElderlyMultimorbidityPolypharmacyAgedAntiparkinson AgentsDrug-Related Side Effects and Adverse ReactionsFrailtyHospitalizationHumansParkinson DiseaseAntiparkinson AgentsAgingcomorbidityfrailtyintegrated caremultimorbidityParkinson’s diseasepolypharmacy

Identifiers

PMID32741841
PMCPMC7592667
OpenAlexW3046722656

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.