Evidence map›Paper›PMID 35200259›Full record

ArticleAudiology research2022

Objective Detection of the Speech Frequency Following Response (sFFR): A Comparison of Two Methods.

Fan-Yin Cheng, Spencer Smith

Abstract read
In one paragraph

Article in Audiology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Fan-Yin ChengDepartment of Speech, Language and Hearing Sciences, The University of Texas at Austin, Austin, TX 78712, USA.ORCID 0000-0001-6234-0578
Spencer SmithDepartment of Speech, Language and Hearing Sciences, The University of Texas at Austin, Austin, TX 78712, USA.

Funding

Investigating the Relationship between Objective Measures of Binaural Hearing and Speech-in-Noise Performance in Middle-Aged ListenersK01DC017192 · NIDCD · UNIVERSITY OF TEXAS AT AUSTIN · PI SMITH, SPENCER · 2018 to 2020
$411k
NIDCD NIH HHS K01 DC017192NIH HHS K01DC017192
6 · The paper itself

Abstract

Speech frequency following responses (sFFRs) are increasingly used in translational auditory research. Statistically-based automated sFFR detection could aid response identification and provide a basis for stopping rules when recording responses in clinical and/or research applications. In this brief report, sFFRs were measured from 18 normal hearing adult listeners in quiet and speech-shaped noise. Two statistically-based automated response detection methods, the F-test and Hotelling's T

Indexed as

auditory electrophysiologyfrequency following response (FFR)F-testHotelling’s T2 testobjective detection

Identifiers

PMID35200259
PMCPMC8869319

What OpenQuestion holds

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LicenceCC BY
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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.