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NCT06723262

Speech Perception of a Tonotopy-based Fitting for Cochlear Implant Recipients for 6 Months With Conventional Setting

Recruiting now NA Last updated 4 March 2025
What this trial tests

NA trial testing Tonotopic cochlear implant fitting FS4T in Sensorineural Hearing Loss, Bilateral in 25 participants. Currently enrolling.

Timeline
1 January 2025
Primary endpoint
30 June 2028
30 June 2028

Quick facts

Lead sponsorMED-EL Elektromedizinische Geräte GesmbH
PhaseNA
StatusRecruiting now
Study typeINTERVENTIONAL
Allocationna
Designsingle group
Maskingnone
Primary purposeother
Enrollment25
Start date1 January 2025
Primary completion30 June 2028
Estimated completion30 June 2028
Sites1 location across France

Drugs / interventions tested

Conditions studied

Sponsor

MED-EL Elektromedizinische Geräte GesmbH — full company profile →

Who can join

18 and older, any sex, with Sensorineural Hearing Loss, Bilateral. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Main objective: Compare speech recognition in noise with tonotopic fitting (FS4T) and with conventional non-tonotopic fitting (FS4noT) in adult patients implanted for 6 months with a MED-EL cochlear implant with FS4noT strategy. Secondary objectives: Comparison of FS4noT and FS4T settings * for speech recognition in quiet * for subjective auditory spatial perception

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

Verify or expand the search:

Other recruiting trials for Sensorineural Hearing Loss, Bilateral

Currently open trials in the same condition.

Other MED-EL Elektromedizinische Geräte GesmbH trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06723262.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing