Evidence map›Paper›PMID 35018875›Full record

ArticleTrends in hearing

The Relationship Between Impedance, Programming and Word Recognition in a Large Clinical Dataset of Cochlear Implant Recipients.

Benjamin Caswell-Midwinter, Elizabeth M Doney, Meisam K Arjmandi, Kelly N Jahn, Barbara S Herrmann, Julie G Arenberg

Abstract read
In one paragraph

Article in Trends in hearing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Electrode impedance in cochlear implantation: determinants, dynamics, and clinical implications.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Robot-assisted vs. manual cochlear implant electrode array insertion in four children.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. 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

6 authors.

Benjamin Caswell-MidwinterDepartment of Otolaryngology - Head and Neck Surgery, 1811Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-3386-3860
Elizabeth M DoneyMassachusetts Eye and Ear, 1866Audiology Division, Boston, MA, USA.
Meisam K ArjmandiDepartment of Otolaryngology - Head and Neck Surgery, 1811Harvard Medical School, Boston, MA, USA.
Kelly N JahnDepartment of Otolaryngology - Head and Neck Surgery, 1811Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5832-5137
Barbara S HerrmannDepartment of Otolaryngology - Head and Neck Surgery, 1811Harvard Medical School, Boston, MA, USA.
Julie G ArenbergDepartment of Otolaryngology - Head and Neck Surgery, 1811Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-5511-211X

Funding

The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Auditory Neuroscience Traning ProgramT32DC005361 · NIDCD · UNIVERSITY OF WASHINGTON · PI Adrian KC Lee, DAVID J PERKEL · 2002 to 2026
$8.8M
Perceptual implications of cochlear implant electrode-neuron interfacesR01DC012142 · NIDCD · UNIVERSITY OF WASHINGTON · PI JULIE G Arenberg · 2012 to 2026
$6.5M
NCATS NIH HHS UL1 TR002541NIDCD NIH HHS R01 DC012142NIDCD NIH HHS T32 DC005361
6 · The paper itself

Abstract

Cochlear implant programming typically involves measuring electrode impedance, selecting a speech processing strategy and fitting the dynamic range of electrical stimulation. This study retrospectively analyzed a clinical dataset of adult cochlear implant recipients to understand how these variables relate to speech recognition. Data from 425 implanted post-lingually deafened ears with Advanced Bionics devices were analyzed. A linear mixed-effects model was used to infer how impedance, programming and patient factors were associated with monosyllabic word recognition scores measured in quiet. Additional analyses were conducted on subsets of data to examine the role of speech processing strategy on scores, and the time taken for the scores of unilaterally implanted patients to plateau. Variation in basal impedance was negatively associated with word score, suggesting importance in evaluating the profile of impedance. While there were small, negative bivariate correlations between programming level metrics and word scores, these relationships were not clearly supported by the model that accounted for other factors. Age at implantation was negatively associated with word score, and duration of implant experience was positively associated with word score, which could help to inform candidature and guide expectations. Electrode array type was also associated with word score. Word scores measured with traditional continuous interleaved sampling and current steering speech processing strategies were similar. The word scores of unilaterally implanted patients largely plateaued within 6-months of activation. However, there was individual variation which was not related to initially measured impedance and programming levels.

Indexed as

Cochlear ImplantationCochlear ImplantsSpeech PerceptionAdultElectric ImpedanceHumansRetrospective Studieselectrical stimulationelectrodefittingplateauretrospective

Identifiers

PMID35018875
PMCPMC8761885

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.