Evidence map›Paper›PMID 42397601›Full record

ArticleHNO2026

[The digits-in-noise test in audiological cochlear implant aftercare].

A Müller, T Hocke, L Clausen, M Herzog, P Mir-Salim

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In one paragraph

Article in HNO, 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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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

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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.

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3 · Its place in the literature

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

A MüllerHörzentrum Berlin (HZB), Klinik für Hals‑, Nasen-, und Ohrenheilkunde, Kopf- und Halschirurgie, Plastische Operationen, Zentrum für Hörimplantate, Vivantes Klinikum im Friedrichshain, Landsberger Allee 49, 10249, Berlin, Deutschland. alexander.mueller@vivantes.de.ORCID http://orcid.org/0000-0002-8778-3647
T HockeResearch, Cochlear Deutschland GmbH & Co. KG, Hannover, Deutschland.
L ClausenHörzentrum Berlin (HZB), Klinik für Hals‑, Nasen-, und Ohrenheilkunde, Kopf- und Halschirurgie, Plastische Operationen, Zentrum für Hörimplantate, Vivantes Klinikum im Friedrichshain, Landsberger Allee 49, 10249, Berlin, Deutschland.
M HerzogKlinik für HNO-Krankheiten, Kopf- und Halschirurgie, Medizinische Universität Lausitz - Carl Thiem, Cottbus, Deutschland.
P Mir-SalimHörzentrum Berlin (HZB), Klinik für Hals‑, Nasen-, und Ohrenheilkunde, Kopf- und Halschirurgie, Plastische Operationen, Zentrum für Hörimplantate, Vivantes Klinikum im Friedrichshain, Landsberger Allee 49, 10249, Berlin, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA wide range of methods for speech audiometry to evaluate the outcome after cochlear implant (CI) fitting exist in German-speaking countries. Various procedures are used to determine the speech recognition threshold in noise (SRT). As an adaptive test with a simple lexical structure, the digits-in-noise (DiN) test offers an alternative to list-based speech tests or matrix tests. The aim of this study was to evaluate the clinical relevance of DiN in postoperative follow-up, particularly in comparison to the Freiburg speech test (FBS) and the Oldenburg sentence test (OlSa), as well as for supporting individualized CI settings. MATERIALS AND

methodsIn a prospective study, 73 adult CI users were examined. Speech comprehension was assessed monaurally in a free field using the FBS, OlSa, and DiN. The participants were divided into three groups based on their hearing loss for numbers (HVZ). The OlSa in noise was only performed if speech comprehension was sufficient. The evaluation was carried out using descriptive statistics, the Kruskal-Wallis test, and Bland-Altman analysis.

resultsThe test-retest reliability of the DiN was high and independent of the time of measurement. The SRTs differed significantly between groups, with better audibility showing lower thresholds. Speech tests in quiet and noise confirmed these differences. The DiN could be performed in all participants.

conclusionThe DiN can be used in all phases of audiological CI follow-up care and enables early differentiation and progress monitoring, provides information on audibility, complements the FBS, and may be used in future studies on optimal fitting of CI systems.

Indexed as

AftercareAudiometry, SpeechCochlear ImplantsSpeech PerceptionSpeech Reception Threshold TestAdultAgedFemaleHumansMaleMiddle AgedNoiseProspective StudiesReproducibility of ResultsCIDiNHearing diagnosticsSpeech audiometrySpeech intelligibility

Identifiers

PMID42397601

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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.