Evidence map›Paper›PMID 29354683›Full record

ArticleNPJ Parkinson's disease2018

The use of accelerometry as a tool to measure disturbed nocturnal sleep in Parkinson's disease.

Sarah McGregor, Philip Churchward, Katarzyna Soja, Denise O'Driscoll, Michelle Braybrook, Hamid Khodakarami, Andrew Evans, Parisa Farzanehfar, Garun Hamilton, Malcolm Horne

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ Parkinson's disease, 2018. 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
3.0field-weighted citation impact, top 9% 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, 82 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

10 authors at 6 institutions in 2 countries.

Sarah McGregor1St Vincent's Hospital Melbourne, Fitzroy, VIC 3065 Australia.
Philip ChurchwardGlobal Kinetics Corporation (GKC), Melbourne, VIC 3000 Australia.
Katarzyna Soja3Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052 Australia.
Denise O'Driscoll5Department of Respiratory and Sleep Medicine, Eastern Health, Box Hill, VIC 3128 Australia.
Michelle Braybrook3Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052 Australia.
Hamid KhodakaramiGlobal Kinetics Corporation (GKC), Melbourne, VIC 3000 Australia.ORCID 0000-0002-2317-704X
Andrew Evans6Eastern Health Clinical School, Monash University, Clayton, VIC 3800 Australia.
Parisa Farzanehfar3Florey Institute of Neuroscience and Mental Health, Parkville, VIC 3052 Australia.
Garun Hamilton8Department of Lung and Sleep, Monash Health, Clayton, VIC 3168 Australia.
Malcolm Horne1St Vincent's Hospital Melbourne, Fitzroy, VIC 3065 Australia.
Melbourne Water · AUMental Health Research Institute · AUEastern Health · AUMonash Health · AUSt Vincent's Hospital Melbourne · AUThe Royal Melbourne Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep disturbances are common in Parkinson's disease (PD). We used the Parkinson's KinetiGraph (PKG), an objective movement recording system for PD to assess night time sleep in 155 people aged over 60 and without PD (controls), 72 people with PD (PwP) and 46 subjects undergoing a Polysomnogram (PSG: 36 with sleep disorder and 10 with normal sleep). The PKG system uses a wrist worn logger to capture acceleration and derive a bradykinesia score (BKS) every 2 min over 6 days. The BKS ranges from 0-160 with higher scores associated with lesser mobility. Previously we showed that BKS > 80 were associated with day time sleep and used this to produce scores for night time sleep: Efficiency (Percent time with BKS > 80), Fragmentation (Average duration of runs of BKS > 80) and Sleep Quality (BKS > 111 as a representation of atonia). There was a fair association with BKS score and sleep level as judged by PSG. Using these PKG scores, it was possible to distinguish between normal and abnormal PSG studies with good Selectivity (86%) and Sensitivity (80%). The PKG's sleep scores were significantly different in PD and Controls and correlated with a subject's self-assessment (PDSS 2) of the quality, wakefulness and restlessness. Using both the PDSS 2 and the PKG, it was apparent that sleep disturbances were apparent early in disease in many PD subjects and that subjects with poor night time sleep were more likely to have day time sleepiness. This system shows promise as a quantitative score for assessing sleep in Parkinson's disease.

Identifiers

PMID29354683
PMCPMC5762674
OpenAlexW2782044039

What OpenQuestion holds

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LicenceCC BY
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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.