Evidence map›Paper›PMID 24726570›Full record

ArticleSleep medicine2014

Contextualised urinary biomarker analysis facilitates diagnosis of paediatric obstructive sleep apnoea.

Lev Becker, Leila Kheirandish-Gozal, Eduard Peris, Kelly Q Schoenfelt, David Gozal

Open access · greenAbstract read
In one paragraph

Article in Sleep medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Epigenetics of obstructive sleep apnea syndrome: a systematic review.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2021
    Pooled it
  2. Interplay between insomnia, anxiety, and depression.World journal of psychiatry · 2025
    Article
  3. Article
  4. Human serum proteomics reveals a molecular signature after one night of sleep deprivation.Sleep advances : a journal of the Sleep Research Society · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. A review of the "OMICS" for management of patients with obstructive sleep apnoea.Acta otorhinolaryngologica Italica : organo ufficiale della Societa italiana di otorinolaringologia e chirurgia cervico-facciale · 2020
    Review
  9. Article
  10. Review
  11. Sleep Disordered Breathing in Children.Indian journal of pediatrics · 2015
    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.

Lev BeckerSection of Pediatric Sleep Medicine, Department of Pediatrics, Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL, USA.
Leila Kheirandish-GozalSection of Pediatric Sleep Medicine, Department of Pediatrics, Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL, USA.
Eduard PerisSection of Pediatric Sleep Medicine, Department of Pediatrics, Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL, USA.
Kelly Q SchoenfeltSection of Pediatric Sleep Medicine, Department of Pediatrics, Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL, USA.
David GozalSection of Pediatric Sleep Medicine, Department of Pediatrics, Pritzker School of Medicine, Biological Sciences Division, The University of Chicago, Chicago, IL, USA. Electronic address: dgozal@uchicago.edu.
University of Chicago · US

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Validation of Urinary Biomarkers in Diagnosis of Pediatric OSAP50HL107160 · NHLBI · UNIVERSITY OF CHICAGO · PI GOZAL, DAVID · 2011 to 2012
$923k
NCATS NIH HHS UL1 TR000430NHLBI NIH HHS P50 HL107160
6 · The paper itself

Abstract

backgroundIntrinsic variance of the urine proteome limits the discriminative power of proteomic analysis and complicates potential biomarker detection in the context of paediatric sleep disorders. METHODS AND

resultsUsing a rigorous workflow for proteomic analysis of urine, we demonstrate that gender and diurnal effects constitute two important sources of variability in healthy children. In the context of disease, complex pathophysiological perturbations magnify these proteomic differences and therefore require contextualised biomarker analysis. Indeed, by performing biomarker discovery in a gender- and diurnal-dependent manner, we identified ∼30-fold more candidate biomarkers of paediatric obstructive sleep apnoea (OSA), a highly prevalent condition in children characterised by repetitive episodes of intermittent hypoxia and hypercapnia, and sleep fragmentation in the context of recurrent upper airway obstructive events during sleep. Remarkably, biomarkers were highly specific for gender and sampling time as poor overlap (∼3%) was observed in the proteins identified in boys and girls across morning and bedtime samples.

conclusionsAs no clinical basis to explain gender-specific effects in OSA or healthy children is apparent, we propose that implementation of contextualised biomarker strategies will be applicable to a broad range of human diseases, and may be specifically applicable to paediatric OSA.

Indexed as

BiomarkersCase-Control StudiesChildChild, PreschoolChromatography, LiquidCircadian RhythmEnzyme-Linked Immunosorbent AssayFemaleHumansMalePeptidesPolysomnographyProteinuriaProteomicsSex FactorsSleep Apnea, ObstructiveBiomarkersPeptidesBiomarkersDiagnosisGenderObstructive sleep apnoeaPaediatricUrine proteomics

Identifiers

PMID24726570
PMCPMC4247538
OpenAlexW2111734720

What OpenQuestion holds

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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.