Evidence map›Paper›PMID 35529544›Full record

ArticleJournal of healthcare engineering2022

Software Application toward Accessible Hearing Care Assessment: Gap in Noise Test.

Khalid Alhussaini, Shaza Saleh, Adham Aleid, Saad Alkhalaf, Reem Badghaish, Amir Altinawi, Abdullatif Alwasel

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

7 authors.

Khalid AlhussainiDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, 10219 Riyadh, Saudi Arabia.ORCID 0000-0002-5274-084X
Shaza SalehKing Abdullah Ear Specialist Center, King Abdulaziz University, King Saud University, 10219 Riyadh, Saudi Arabia.
Adham AleidDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, 10219 Riyadh, Saudi Arabia.ORCID 0000-0003-3638-7916
Saad AlkhalafDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, 10219 Riyadh, Saudi Arabia.
Reem BadghaishKing Abdullah Ear Specialist Center, King Abdulaziz University, King Saud University, 10219 Riyadh, Saudi Arabia.
Amir AltinawiDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, 10219 Riyadh, Saudi Arabia.
Abdullatif AlwaselDepartment of Biomedical Technology, College of Applied Medical Sciences, King Saud University, 10219 Riyadh, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, several methods are being applied to assess auditory temporal resolution in a controlled clinical environment via the measurements of gap detection thresholds (GDTs). However, these methods face two issues: the relatively long time required to perform the gap detection test in such settings and the potential of inaccessibility to such facilities. This article proposes a fast, affordable, and reliable application-based method for the determination of GDT either inside or outside the soundproof booth. The proposed test and the acoustic stimuli were both developed using the MATLAB® programming platform. GDT is determined when the subject is able to distinguish the shortest silent gap inserted randomly in one of two segments of white noise. GDTs were obtained from 42 normal-hearing subjects inside and outside the soundproof booth. The results of this study indicated that average GDTs measured inside the booth (5.12 ± 1.02 ms) and outside (4.78 ± 1.16 ms) were not significantly different. The measured GDTs were also comparable to that reported in the literature. In addition, the GDT screening time of the proposed method was approximately 5 minutes, a screening time that is much less than that reported by the literature. Data show that the proposed application was fast and reliable to screen GDT compared to the standard method currently used in clinical settings.

Indexed as

HearingNoiseAcoustic StimulationHumansSoftware

Identifiers

PMID35529544
PMCPMC9076313

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.