Evidence map›Paper›PMID 27730345›Full record

ArticleSleep & breathing = Schlaf & Atmung2017

Sleep disorders in patients with multiple sclerosis in China.

Shengli Ma, Xue Rui, Peiyi Qi, Gangqiong Liu, Jing Yang

Abstract read
PubMed Publisher
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.0field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sleep Disturbances, Degree of Disability and the Quality of Life in Multiple Sclerosis Patients.International journal of environmental research and public health · 2022
    Article
  10. Review
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 at 1 institution in 1 country.

Shengli MaDepartment of Emergency, Institute of Clinic Medicine, The First Affiliated Hospital of Zhengzhou University, No. 1 Jian She Dong Avenue, Zhengzhou, 450002, People's Republic of China. msl04301617@126.com.
Xue RuiInstitute of Clinical Medicine, The First Affiliated Hospital of Zhengzhou University, No. 1 Jian She Dong Avenue, Zhengzhou, 450002, People's Republic of China.
Peiyi QiDepartment of Emergency, Institute of Clinic Medicine, The First Affiliated Hospital of Zhengzhou University, No. 1 Jian She Dong Avenue, Zhengzhou, 450002, People's Republic of China.
Gangqiong LiuDepartment of Cardiology, The First Affiliated Hospital of Zhengzhou University, No. 1 Jian She Dong Avenue, Zhengzhou, 450002, People's Republic of China.
Jing YangDepartment of neurology, The First Affiliated Hospital of Zhengzhou University, No. 1 Jian She Dong Avenue, Zhengzhou, 450002, People's Republic of China.
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor sleep is common in patients with multiple sclerosis (MS). This study assessed the prevalence of poor sleep and investigated the potential impact factors that influence sleep quality of patients with MS.

methodsA cross-sectional self-report survey of 231 patients with MS and 265 sex- and age-matched controls was conducted. Good sleepers and poor sleepers were separated by their global score on the Pittsburgh Sleep Quality Index (PSQI). Sociodemographic parameters, such as age, gender, and marital status, and clinical-demographic parameters, such as excessive daytime sleepiness (measured by the Epworth Sleepiness Scale), snoring, insomnia, obstructive sleep apnea, drugs, pain, depression, fatigue, and quality of life, were registered. Clinical and sociodemographic parameters were compared between patients with MS and controls and between good and poor sleepers among patients with MS.

resultsThe prevalence of poor sleep in patients with MS was 64.9. Univariate analysis found that gender (p < 0.001), antidepressant drugs (p < 0.001), insomnia (p < 0.001), fatigue (p < 0.001), Epworth Sleepiness Scale (ESS) (p < 0.001), pain (p < 0.001), and depression (p < 0.001) were associated with sleep disorders. Multivariate analysis revealed that female gender, antidepressant drug treatment, and a high psychological burden of MS may be risk factors for poor sleep among patients with MS.

conclusionsPoor sleep is more common in patients with MS than in the general population. Sleep disorders should routinely be evaluated in patients with MS to improve the quality of sleep among them.

Indexed as

AdultCase-Control StudiesChinaComorbidityCross-Sectional StudiesFemaleHumansMaleMiddle AgedMultiple SclerosisRisk FactorsSex FactorsSleep Wake DisordersSurveys and QuestionnairesChinaMultiple sclerosisPoor sleepSleep disorder

Identifiers

PMID27730345
OpenAlexW2530209000

What OpenQuestion holds

Textmetadata
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.