Evidence map›Paper›PMID 38476563›Full record

ArticleIranian journal of otorhinolaryngology2024

Accuracy and Pitfalls in the Smartphone-Based Audiometry Examination.

Ramtry Waldi Berampu, Indri Adriztina, Ferryan Sofyan, Yetty Machrina, Ichwanul Adenin

Abstract read
In one paragraph

Article in Iranian journal of otorhinolaryngology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

5 authors.

Ramtry Waldi BerampuDepartment of Otorhinolaryngology, Head and Neck Surgery , Faculty of Medicine , Universitas Sumatera Utara, Medan, Indonesia.
Indri AdriztinaDepartment of Otorhinolaryngology, Head and Neck Surgery , Faculty of Medicine , Universitas Sumatera Utara, Medan, Indonesia.
Ferryan SofyanDepartment of Otorhinolaryngology, Head and Neck Surgery , Faculty of Medicine , Universitas Sumatera Utara, Medan, Indonesia.
Yetty MachrinaDepartment of Physiology, Faculty of Medicine, Universitas Sumatera Utara, Medan, Indonesia.
Ichwanul AdeninFaculty of Medicine, Universitas Sumatera Utara.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Approximately 466 million people suffer from hearing loss worldwide, with Indonesia ranking fourth in Southeast Asia. However, conventional pure-tone audiometry is not yet available in many areas because of its high cost. Numerous available smartphone-based audiometry applications are potential alternative screening tools for hearing loss, especially in Indonesia. This study examined the findings on the validation of smartphone-based audiometry applications to assess hearing functions available in Indonesia. Materials and Methods: Based on the established eligibility criteria, this study was conducted by browsing the relevant literature validating smartphone-based audiometry applications in Indonesia. Relevant study data, such as the author, year, location, implementation procedures, and outcomes, were extracted and summarized. Results: This systematic review found 17 relevant and eligible publications. Of the six applications tested, 5 were found to have good validity, such as uHear Conclusion: Because smartphone-based audiometry is inexpensive, simple, and more accessible than conventional audiometric testing, it can be useful as a screening modality or alternative approach to assess hearing function. Unfortunately, smartphone-based audiometry cannot replace conventional audiometry in diagnosing hearing impairment.

Indexed as

AudiometryHearing LossHearing testSmartphoneSmartphone-based

Identifiers

PMID38476563
PMCPMC10925966

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Registered trials

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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.