Evidence map›Paper›PMID 41730806›Full record

ArticleThe Laryngoscope2026

Early Spectral Resolution Predicts Later Speech Recognition in Adult Cochlear Implant Recipients.

Katelyn A Berg, Jillian B Roberts, Michael Z Burchesky, René H Gifford

Abstract read
In one paragraph

Article in The Laryngoscope, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Katelyn A BergDepartment of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Jillian B RobertsDepartment of Audiology, Hearts for Hearing Foundation, Oklahoma City, Oklahoma, USA.
Michael Z BurcheskyDepartment of Otolaryngology, Audiology Division, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
René H GiffordDepartment of Audiology, Hearts for Hearing Foundation, Oklahoma City, Oklahoma, USA.

Funding

Cochlear Implants: Combined Electric and Binaural Acoustic StimulationR01DC009404 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GIFFORD, RENE H · 2010 to 2019
$3.4M
NIDCD NIH HHS R01 DC009404NIDCD NIH HHS R01 DC13117
6 · The paper itself

Abstract

objectivesTo investigate the trajectory of spectral resolution in adult cochlear implant (CI) recipients and determine whether early spectral resolution measures can predict later speech recognition outcomes.

methodsProspective, longitudinal study of 531 postlingually deafened adult CI recipients. Spectral resolution (EasyQSMD) and speech recognition (CNC words, AzBio sentences in quiet and noise) were evaluated from activation through 1-year post-activation. Growth curve models were fit to EasyQSMD thresholds across all timepoints to generate mode-based estimates of early spectral resolution at 1-month post-activation. These model-derived early thresholds were then used to predict later speech recognition outcomes (best of 6-months and 1-year) through linear regression analyses.

resultsEasyQSMD thresholds improved from activation to 1-week post-activation, then stabilized through the first year. Model-derived early EasyQSMD thresholds significantly predicted later speech recognition outcomes, explaining 3%-8% of the variance in performance.

conclusionSpectral resolution rapidly stabilizes, reaching asymptotic performance by 1-week post-activation. The EasyQSMD provides a non-linguistic assessment tool that demonstrates significant predictive value for subsequent speech recognition outcomes. This early predictive capability enables the identification of poor performers during a critical window when speech recognition skills are still developing and the brain's neuroplasticity is at peak potential. Integrating spectral resolution assessment into early post-activation clinical protocols could improve individualized realistic expectations counseling and guide targeted interventions-potentially leading to improved overall CI adoption rates. The brief administration time and independence from linguistic content make the EasyQSMD particularly valuable for multilingual populations and during the earliest stages of auditory rehabilitation post-CI. LEVEL OF EVIDENCE: 3:

Indexed as

Cochlear ImplantsDeafnessSpeech PerceptionAdultAgedAuditory ThresholdFemaleHumansLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsProspective StudiesTime Factorscochlear implantsEasyQSMDlongitudinal outcomespredictive valuespectral resolutionspeech recognition

Identifiers

PMID41730806
PMCPMC13253172

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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 OpenQuestion graph.