Evidence map›Paper›PMID 39735242›Full record

ReviewJournal of otology2024

Animal models of cochlear implant: Classification and update.

Haiqiao Du, Jianan Li, Wei Chen, Weiwei Guo, Shiming Yang

Abstract readReview
In one paragraph

Review in Journal of otology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Haiqiao DuDepartment of Otolaryngology-Head & Neck Surgery, The Sixth Medical Center of PLA General Hospital, Beijing, China.
Jianan LiDepartment of Otolaryngology-Head & Neck Surgery, The Sixth Medical Center of PLA General Hospital, Beijing, China.
Wei ChenDepartment of Otolaryngology-Head & Neck Surgery, The Sixth Medical Center of PLA General Hospital, Beijing, China.
Weiwei GuoDepartment of Otolaryngology-Head & Neck Surgery, The Sixth Medical Center of PLA General Hospital, Beijing, China.
Shiming YangDepartment of Otolaryngology-Head & Neck Surgery, The Sixth Medical Center of PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cochlear implantation (CI) is currently recognized as the most effective treatment for severe to profound sensorineural deafness and is considered one of the most successful neural prostheses. Since its inception in 1961, cochlear implantation has expanded its range of applications to encompass younger newborns, older people, and individuals with unilateral hearing loss. In addition, it has improved its surgical methods to minimize the occurrence of complications. Furthermore, notable advancements have been made in the design of electrodes, techniques for speech processing, and software for programming. Nevertheless, inflammation, fibrosis, and even ossification are observed in the cochlea of nearly all cochlear implant (CI) patients. These tissue responses might have a negative impact on the performance of the implants, residual hearing, and the results of post-operative CI rehabilitation. Animal models are significant translational tools that offer essential preclinical data for possible therapeutics. Thus, this study concentrates on the existing animal models used for cochlear implantation, highlights the advancements made in research, and offers insights into potential future research areas.

Indexed as

Animal modelsCochlear implantationFibrosisForeign body responseResidual hearing

Identifiers

PMID39735242
PMCPMC11681794

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.