Evidence map›Paper›PMID 37456599›Full record

ReviewTurkish archives of otorhinolaryngology2022

The Elderly Voice: Mechanisms, Disorders and Treatment Methods.

Süha Beton, Levent Yücel, Hazan Başak, Zahide Çiler Büyükatalay

Open access · diamondAbstract readReview
In one paragraph

Review in Turkish archives of otorhinolaryngology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.7field-weighted citation impact, top 15% of its field
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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Voice Meets Swallowing: A Scoping Review of Therapeutic Connections.American journal of speech-language pathology · 2025
    Article
  5. Article
  6. Article
  7. Voice Quality in Individuals With Acquired Immunodeficiency Syndrome.International journal of language & communication disorders
    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

4 authors at 2 institutions in 1 country.

Süha BetonDepartment of Otorhinolaryngology, Ankara University Faculty of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8195-4380
Levent YücelDepartment of Otorhinolaryngology, University of Health Sciences Turkey, Gülhane Training and Research Hospital, Ankara, Turkey.ORCID https://orcid.org/0000-0001-9045-4636
Hazan BaşakDepartment of Otorhinolaryngology, Ankara University Faculty of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-9973-7170
Zahide Çiler BüyükatalayDepartment of Otorhinolaryngology, Ankara University Faculty of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-0992-0079
Ankara University · TRSağlık Bilimleri Üniversitesi · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The elderly population is increasing globally. In Turkey, the population aged 65+ is predicted to grow to more than 15% of the whole population by 2050. Just like the rest of the body, the voice also changes with age. Voice changes throughout life have been reported in up to 52.4% of aged individuals and may have a negative impact on their quality of life. Voice is affected by various factors, including age, disease, hormones, medications, and physiological, psychological, and social conditions. A multidisciplinary approach is therefore needed to achieve the best voice outcomes. In this review, we summarize the mechanisms involved in voice changes in the elderly together with the applicable diagnostic and treatment methods.

Indexed as

elderlyphonosurgerypresbyphoniaVoicevoice disordersvoice therapy

Identifiers

PMID37456599
PMCPMC10339270
OpenAlexW4379472011

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.