Evidence map›Paper›PMID 27533053›Full record

ArticlePloS one2016

Premotor Symptoms as Predictors of Outcome in Parkinsons Disease: A Case-Control Study.

Yu-Hsuan Wu, Wei-Ju Lee, Yi-Huei Chen, Ming-Hong Chang, Ching-Heng Lin

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In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Prognosis in Parkinson's Disease: An Individual Patient Data Meta-Analysis of Six European Incidence Cohorts.Movement disorders : official journal of the Movement Disorder Society · 2026
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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.

Yu-Hsuan WuSection of Neurology, Taichung Veterans General Hospital, Taichung, Taiwan.
Wei-Ju LeeSection of Neurology, Taichung Veterans General Hospital, Taichung, Taiwan.
Yi-Huei ChenDepartment of Medical education and Research, Taichung Veterans General Hospital, Taichung, Taiwan.
Ming-Hong ChangSection of Neurology, Taichung Veterans General Hospital, Taichung, Taiwan.
Ching-Heng LinDepartment of Medical education and Research, Taichung Veterans General Hospital, Taichung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the association between the premotor symptoms and the prognosis of PD.

methodsA total of 1213 patients who were diagnosed of PD from January 2001 to December 2008 were selected from the Taiwan's National Health Insurance Research Database. Patients were traced back to determine the presence of premotor symptoms, including rapid eye movement sleep behavior disorder (RBD), depression, and constipation. Cox's regression analysis was used to detect the risks between the occurrence of premotor symptoms and the outcome (including death, psychosis, accidental injury, dementia and aspiration pneumonia). In addition, the association between premotor symptoms and levodopa equivalent dosage (LED) was examined.

resultsHigher occurrence of death, dementia and aspiration pneumonia were identified in PD patients with premotor symptoms than without premotor symptoms (HR 1·69, 95% CI 1·34-2·14, p <0·001 for death; HR 1·63, 95% CI 1·20-2·22, p = 0·002 for dementia; HR 2·45, 95% CI 1·42-4·21, p = 0·001 for aspiration pneumonia). In a comorbidities-stratified analysis, PD patients with premotor symptoms showed significantly high risks of mortality and morbidity (dementia and aspiration pneumonia), especially in the absence of comorbidities. Independent predictors of mortality in PD were found to be higher age, male sex, constipation, RBD, RBD with constipation and depression, and diabetes. Furthermore, no significant differences of LED and subsequent accidental injury were noted between PD patient with or without premotor symptoms.

conclusionPremotor symptoms seem to be not merely risk factors, but also prognostic factors of PD.

Indexed as

Case-Control StudiesComorbidityDatabases, FactualDementiaFemaleHumansLevodopaMaleMiddle AgedMotor ActivityParkinson DiseasePneumonia, AspirationPrognosisPsychotic DisordersRisk FactorsTaiwanLevodopa

Identifiers

PMID27533053
PMCPMC4988705

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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.