Evidence map›Paper›PMID 33870176›Full record

ArticleSleep medicine: X2020

Retrospective analysis of sleep patterns in patients with chronic disorders of consciousness.

Julia Nekrasova, Mikhail Kanarskii, Dmitrii Yankevich, Andrey Shpichko, Ilya Borisov, Pranil Pradhan, Maria Miroshnichenko

Open access · goldAbstract read
In one paragraph

Article in Sleep medicine: X, 2020. 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
0.3field-weighted citation impact, top 50% 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, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Julia NekrasovaFederal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Mikhail KanarskiiFederal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Dmitrii YankevichFederal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Andrey ShpichkoFederal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Ilya BorisovFederal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Pranil PradhanFederal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
Maria MiroshnichenkoFederal State Budget Scientific Institution, Federal Research and Clinical Center of Intensive Care Medicine and Rehabilitology, Moscow, Russia.
V.A. Negovsky Scientific Research Institute of General Reanimatology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analysis of sleep patterns in patients with chronic disorders of consciousness attracts attention from the perspective of the diagnosis and prognosis of the disease as well as the treatment. Yet, the very existence of normal sleep in patients in a vegetative or minimally conscious state is still a matter of debate. This paper presents a retrospective analysis of overnight polysomnographic records of 40 patients with chronic disorders of consciousness aimed at the possibility of establishing the connection between the degree of impaired consciousness and the presence and organization of polysomnographic graphical elements, associated with stages of sleep in normal individuals. Specialized software based on expert system artificial intelligence was developed to calculate indices and parameters that characterize sleep. It was shown that a remarkably low percentage of patients have a rhythmic change in sleep patterns, what indicates the prevalence of violations of the Sleep-Wake cycle in a vegetative state and minimally conscious state. Sleep spindles were not found in records, however, the absence can originate from the limitations of polysomnographic method applied to patients with severe brain damage. A positive correlation between the rhythmic change of sleep patterns, better outcome and CRS-R scores was confirmed.

Indexed as

Disorders of consciousnessMinimally conscious statePolysomnographySleep patternsSleep stagesVegetative state

Identifiers

PMID33870176
PMCPMC8041117
OpenAlexW3082654561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.