Evidence map›Paper›PMID 38894099›Full record

ArticleSensors (Basel, Switzerland)2024

Impact of Insertion Speed, Depth, and Robotic Assistance on Cochlear Implant Insertion Forces and Intracochlear Pressure: A Scoping Review.

Filip Hrnčiřík, Leo Nagy, Hannah L Grimes, Haissan Iftikhar, Jameel Muzaffar, Manohar Bance

Abstract readScoping Review
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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
–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

7 citing papers in PubMed.

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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

6 authors.

Filip HrnčiříkCambridge Hearing Group, Cambridge CB2 7EF, UK.ORCID 0000-0002-2286-848X
Leo NagyClinical School, University of Cambridge, Cambridge CB2 0QQ, UK.ORCID 0009-0003-6109-2631
Hannah L GrimesClinical School, University of Cambridge, Cambridge CB2 0QQ, UK.
Haissan IftikharDepartment of Otolaryngology, University Hospitals Birmingham, Birmingham B15 2TT, UK.
Jameel MuzaffarCambridge Hearing Group, Cambridge CB2 7EF, UK.ORCID 0000-0003-3065-0269
Manohar BanceCambridge Hearing Group, Cambridge CB2 7EF, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cochlear implants are crucial for addressing severe-to-profound hearing loss, with the success of the procedure requiring careful electrode placement. This scoping review synthesizes the findings from 125 studies examining the factors influencing insertion forces (IFs) and intracochlear pressure (IP), which are crucial for optimizing implantation techniques and enhancing patient outcomes. The review highlights the impact of variables, including insertion depth, speed, and the use of robotic assistance on IFs and IP. Results indicate that higher insertion speeds generally increase IFs and IP in artificial models, a pattern not consistently observed in cadaveric studies due to variations in methodology and sample size. The study also explores the observed minimal impact of robotic assistance on reducing IFs compared to manual methods. Importantly, this review underscores the need for a standardized approach in cochlear implant research to address inconsistencies and improve clinical practices aimed at preserving hearing during implantation.

Indexed as

Cochlear ImplantationCochlear ImplantsCochleaHearing LossHumansPressureRoboticsRobotic Surgical Proceduresangular depthcochlear implantationcochlear traumaelectrode designhearing preservationinsertion approachinsertion depthinsertion forcesinsertion speedintracochlear pressurerobotic assistance

Identifiers

PMID38894099
PMCPMC11174543

What OpenQuestion holds

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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.