Evidence map›Paper›PMID 25566939›Full record

ArticleSleep & breathing = Schlaf & Atmung2015

Excessive fragmentary myoclonus in patients with Parkinson's disease: prevalence and clinico-polysomnographic profile.

Manoel Alves Sobreira-Neto, Márcio Alexandre Pena-Pereira, Emmanuelle Silva Tavares Sobreira, Marcos Hortes Nisihara Chagas, Vitor Tumas, Regina Maria França Fernandes, Alan Luiz Eckeli

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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2015. 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
0.7field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 14 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Manoel Alves Sobreira-NetoDepartment of Neuroscience and Sciences of Behavior, Division of Neurology, Faculty of Medicine of Ribeirão Preto, University of São Paulo, São Paulo, Brazil, manoelsobreira@yahoo.com.br.
Márcio Alexandre Pena-Pereira
Emmanuelle Silva Tavares Sobreira
Marcos Hortes Nisihara Chagas
Vitor Tumas
Regina Maria França Fernandes
Alan Luiz Eckeli
Universidade de São Paulo · BRUniversidade de Fortaleza · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

OBJECTIVE AND

backgroundExcessive fragmentary myoclonus (EFM) is characterized by subtle arrhythmic and excessive jerks that are usually asymmetric and asynchronous. EFM occurs in different areas of the body, mainly the face and distal parts of the arms and legs, and is detected by surface electromyography during sleep. The present study aimed to determine the prevalence of EFM in Parkinson's disease (PD) patients at a tertiary level outpatient clinic as well as to describe the clinical and polysomnographic profiles of these patients.

methodsA total of 62 consecutive PD patients were included in the study. Patients were evaluated using the Brazilian version of the PD Sleep Scale, Portuguese Language version of Epworth's Daytime Sleepiness Scale validated for Brazilian population, Brazilian Portuguese version of PD Quality of Life Scale, and Global Deterioration Scale. Evaluation of the sleep disorders was performed by clinical interview and polysomnography.

resultsEFM was found in 62.7% of PD patients. EFM was found to be associated with obstructive sleep apnea syndrome and advanced age.

conclusionsEFM occurs in a significantly high proportion of PD patients and is related to obstructive sleep apnea syndrome (OSAS) and advanced age, so EFM should be systematically investigated by polysomnography (PSG) in PD patients.

Indexed as

PolysomnographyAgedAge FactorsAmbulatory Care FacilitiesBrazilCross-Sectional StudiesFemaleHumansMaleMiddle AgedNocturnal Myoclonus SyndromeParkinson DiseaseSleep Apnea, Obstructive

Identifiers

PMID25566939
OpenAlexW2046479131

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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.