Evidence map›Paper›PMID 36293662›Full record

ArticleInternational journal of environmental research and public health2022

Sleep Respiratory Disturbances in Girls with Rett Syndrome.

Xinyan Zhang, Marcel Smits, Leopold Curfs, Karen Spruyt

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Sleep Disorders in Children with Rett Syndrome.Children (Basel, Switzerland) · 2025
    Review
  4. Review
  5. Review
  6. Review
  7. 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

4 authors at 2 institutions in 2 countries.

Xinyan ZhangNeuroDiderot-INSERM, Université de Paris, 75019 Paris, France.
Marcel SmitsDepartment of Sleep-Wake Disorders and Chronobiology, Hospital Gelderse Vallei Ede, Governor Kremers Centre, Maastricht University Medical Centre, 6716 RP Gelderland, The Netherlands.ORCID 0000-0001-9854-9402
Leopold CurfsGovernor Kremers Centre, Maastricht University Medical Centre, 6200 MD Maastricht, The Netherlands.
Karen SpruytNeuroDiderot-INSERM, Université de Paris, 75019 Paris, France.ORCID 0000-0002-2914-9074
Inserm · FRMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Individuals with Rett Syndrome (RTT), a rare neurodevelopmental disorder, present disordered breathing during wakefulness. Whilst findings on breathing during sleep are contradictory, the relation between sleep breathing and their clinical features, genetic characteristics, age, and sleep phase is rarely investigated, which is the objective of this study. Overnight polysomnography (PSG) was performed. Sleep macrostructure parameters were compared between the RTT subjects with and without sleep-disordered breathing (SDB). The association between the apnea-hypopnea index (AHI) with age at PSG was tested. Particularly for RTT subjects with SDB, the respiratory indexes in REM and NREM sleep were compared. Stratified analyses per clinical characteristics, genetic characteristics, and clinical features' severity were performed. Non-parametric statistics were applied. A sample of 11 female RTT subjects, aged 8.69 ± 5.29 years with ten confirmed with

Indexed as

Rett SyndromeSleep Apnea, ObstructiveSleep Apnea SyndromesFemaleHumansPolysomnographySleepMECP2polysomnographyRett Syndromesleep-disordered breathing

Identifiers

PMID36293662
PMCPMC9602589
OpenAlexW4304689622

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.