Evidence map›Paper›PMID 33240035›Full record

ArticleFrontiers in neuroscience2020

Pupillometry Assessment of Speech Recognition and Listening Experience in Adult Cochlear Implant Patients.

Francesca Yoshie Russo, Michel Hoen, Chadlia Karoui, Thomas Demarcy, Marine Ardoint, Maria-Pia Tuset, Daniele De Seta, Olivier Sterkers, Ghizlène Lahlou, Isabelle Mosnier

Registry-linked trialAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05586555 (A Monocentric Study Evaluating Pupillometry as an Objective Measurement for Cochlear Implant), which is not on this map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing 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.

NCT05586555 naterminatednot on this mapstarted 2023, after this paper: background citation

A Monocentric Study Evaluating Pupillometry as an Objective Measurement for Cochlear Implant (CI) Fittings

TypeinterventionalSponsorOticon MedicalRan2023 to 2023Enrolled13ConditionsHearing Loss, Sensorineural, Hearing Loss, Bilateral, Cochlear Hearing Loss, Hearing Loss, CochlearArmsPupillometry (Eve-tracking measurements)
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

10 authors.

Francesca Yoshie RussoINSERM U1159 Réhabilitation Chirurgicale Mini-Invasive Robotisée De l'Audition, Paris, France.
Michel HoenOticon Medical, Vallauris, France.
Chadlia KarouiOticon Medical, Vallauris, France.
Thomas DemarcyOticon Medical, Vallauris, France.
Marine ArdointOticon Medical, Vallauris, France.
Maria-Pia TusetAssistance Publique Hôpitaux de Paris Sorbonne Université, Service Oto-Rhino-Laryngologie (ORL), Unité Fonctionnelle Implants Auditifs, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.
Daniele De SetaINSERM U1159 Réhabilitation Chirurgicale Mini-Invasive Robotisée De l'Audition, Paris, France.
Olivier SterkersINSERM U1159 Réhabilitation Chirurgicale Mini-Invasive Robotisée De l'Audition, Paris, France.
Ghizlène LahlouINSERM U1120 Génétique et Physiologie de l'Audition, Paris, France.
Isabelle MosnierINSERM U1159 Réhabilitation Chirurgicale Mini-Invasive Robotisée De l'Audition, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of the present study was to investigate the pupillary response to word identification in cochlear implant (CI) patients. Authors hypothesized that when task difficulty (i.e., addition of background noise) increased, pupil dilation markers such as the peak dilation or the latency of the peak dilation would increase in CI users, as already observed in normal-hearing and hearing-impaired subjects.

methodsPupillometric measures in 10 CI patients were combined to standard speech recognition scores used to evaluate CI outcomes, namely, speech audiometry in quiet and in noise at +10 dB signal-to-noise ratio (SNR). The main outcome measures of pupillometry were mean pupil dilation, maximal pupil dilation, dilation latency, and mean dilation during return to baseline or retention interval. Subjective hearing quality was evaluated by means of one self-reported fatigue questionnaire, and the Speech, Spatial, and Qualities (SSQ) of Hearing scale.

resultsAll pupil dilation data were transformed to percent change in event-related pupil dilation (ERPD, %). Analyses show that the peak amplitudes for both mean pupil dilation and maximal pupil dilation were higher during the speech-in-noise test. Mean peak dilation was measured at 3.47 ± 2.29% noise vs. 2.19 ± 2.46 in quiet and maximal peak value was detected at 9.17 ± 3.25% in noise vs. 8.72 ± 2.93% in quiet. Concerning the questionnaires, the mean pupil dilation during the retention interval was significantly correlated with the spatial subscale score of the SSQ Hearing scale [

conclusionThe analysis of pupillometric traces, obtained during speech audiometry in quiet and in noise in CI users, provided interesting information about the different processes engaged in this task. Pupillometric measures could be indicative of listening difficulty, phoneme intelligibility, and were correlated with general hearing experience as evaluated by the SSQ of Hearing scale. These preliminary results show that pupillometry constitutes a promising tool to improve objective quantification of CI performance in clinical settings.

Indexed as

cochlear implantlistening effortpupil dilatationpupillometeryspeech in noise

Identifiers

PMID33240035
PMCPMC7677588

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Registered trials

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.