Evidence map›Paper›PMID 31683919›Full record

ArticleMetabolites2019

Relationship between Metabolomics Profile of Perilymph in Cochlear-Implanted Patients and Duration of Hearing Loss.

Thuy-Trân Trinh, Hélène Blasco, Patrick Emond, Christian Andres, Antoine Lefevre, Emmanuel Lescanne, David Bakhos

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
1.0field-weighted citation impact, top 28% 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 21 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Untargeted Metabolomic Analysis in Endolymphatic Sac Luminal Fluid from Patients with Meniere's Disease.Journal of the Association for Research in Otolaryngology : JARO · 2023
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Review
  14. Metabolomics in Otorhinolaryngology.Frontiers in molecular biosciences · 2022
    Review
  15. Article
  16. 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 4 institutions in 1 country.

Thuy-Trân TrinhService ORL et Chirurgie Cervico-Faciale, CHRU de Tours, 37000 Tours, France. thuytran.trinh@gmail.com.
Hélène BlascoLaboratoire de Biochimie et Biologie Moléculaire, CHRU de Tours, 59037 LILLE CEDEX, France. helene.blasco@univ-tours.fr.
Patrick EmondUniversité François-Rabelais, 37000 Tours, France. patrick.emond@univ-tours.fr.
Christian AndresLaboratoire de Biochimie et Biologie Moléculaire, CHRU de Tours, 59037 LILLE CEDEX, France. andres@med.univ-tours.fr.
Antoine LefevreInserm U1253, 37000 Tours, France. antoine.lefevre@univ-tours.fr.
Emmanuel LescanneService ORL et Chirurgie Cervico-Faciale, CHRU de Tours, 37000 Tours, France. lescanne@univ-tours.fr.
David BakhosService ORL et Chirurgie Cervico-Faciale, CHRU de Tours, 37000 Tours, France. david.bakhos@univ-tours.fr.
Université de Tours · FRInserm · FRCentre Hospitalier Universitaire de Tours · FRClinical Investigation Center Plurithematic Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perilymph metabolomic analysis is an emerging innovative strategy to improve our knowledge of physiopathology in sensorineural hearing loss. This study aims to develop a metabolomic profile of human perilymph with which to evaluate the relationship between metabolome and the duration of hearing loss. Inclusion criteria were eligibility for cochlear implantation and easy access to the round window during surgery; patients with residual acoustic hearing in the ear to be implanted were excluded. Human perilymph was sampled from 19 subjects during cochlear implantation surgery. The perilymph analysis was performed by Liquid Chromatography-High-Resolution Mass and data were analyzed by supervised multivariate analysis based on Partial Least-Squares Discriminant Analysis and univariate analysis. Samples were grouped according to their median duration of hearing loss. We included the age of patients as a covariate in our models. Statistical analysis and pathways evaluation were performed using Metaboanalyst. Nineteen samples of human perilymph were analyzed, and a total of 106 different metabolites were identified. Metabolomic profiles were significantly different for subjects with ≤ 12 or > 12 years of hearing loss, highlighting the following discriminant compounds:

Indexed as

cochlear implantduration of hearing lossmetabolomicsperilymph

Identifiers

PMID31683919
PMCPMC6918144
OpenAlexW2985445723

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.