Evidence map›Paper›PMID 37713394›Full record

ArticlePloS one2023

Gene mutations as a non-invasive measure of adult cochlear implant performance: Variable outcomes in patients with select TMPRSS3 mutations.

Justin Cottrell, Peter Dixon, Xingshan Cao, Alex Kiss, Kari Smilsky, Kassandra Kaminskas, Amy Ng, David Shipp, Andrew Dimitrijevic, Joseph Chen and 3 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

13 authors.

Justin CottrellDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8434-5262
Peter DixonDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Xingshan CaoDepartment of Research Design and Biostatistics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Alex KissDepartment of Research Design and Biostatistics, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada.
Kari SmilskyDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Kassandra KaminskasDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Amy NgDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
David ShippDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Andrew DimitrijevicDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Joseph ChenDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Vincent LinDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.
Lianna KyriakopoulouDepartment of Laboratory Medicine & Pathology-Clinical Chemistry, Hospital for Sick Children, Toronto, Ontario, Canada.
Trung LeDepartment of Otolaryngology-Head and Neck Surgery, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-1989-1977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe cochlear implant (CI) has proven to be a successful treatment for patients with severe-to-profound sensorineural hearing loss, however outcome variance exists. We sought to evaluate particular mutations discovered in previously established sensory and neural partition genes and compare post-operative CI outcomes. MATERIALS AND

methodsUtilizing a prospective cohort study design, blood samples collected from adult patients with non-syndromic hearing loss undergoing CI were tested for 54 genes of interest with high-throughput sequencing. Patients were categorized as having a pathogenic variant in the sensory partition, pathogenic variant in the neural partition, pathogenic variant in both sensory and neural partition, or with no variant identified. Speech perception performance was assessed pre- and 12 months post-operatively. Performance measures were compared to genetic mutation and variant status utilizing a Wilcoxon rank sum test, with P<0.05 considered statistically significant.

resultsThirty-six cochlear implant patients underwent genetic testing and speech understanding measurements. Of the 54 genes that were interrogated, three patients (8.3%) demonstrated a pathogenic mutation in the neural partition (within TMPRSS3 genes), one patient (2.8%) demonstrated a pathogenic mutation in the sensory partition (within the POU4F3 genes). In addition, 3 patients (8.3%) had an isolated neural partition variance of unknown significance (VUS), 5 patients (13.9%) had an isolated sensory partition VUS, 1 patient (2.8%) had a variant in both neural and sensory partition, and 23 patients (63.9%) had no mutation or variant identified. There was no statistically significant difference in speech perception scores between patients with sensory or neural partition pathogenic mutations or VUS. Variable performance was found within patients with TMPRSS3 gene mutations.

conclusionThe impact of genetic mutations on post-operative outcomes in CI patients was heterogenous. Future research and dissemination of mutations and subsequent CI performance is warranted to elucidate exact mutations within target genes providing the best non-invasive prognostic capability.

Indexed as

Cochlear ImplantationCochlear ImplantsAdultGenetic TestingHumansMembrane ProteinsMutationNeoplasm ProteinsProspective StudiesSerine EndopeptidasesMembrane ProteinsNeoplasm ProteinsSerine EndopeptidasesTMPRSS3 protein, human

Identifiers

PMID37713394
PMCPMC10503761

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.