Evidence map›Paper›PMID 40259991›Full record

ArticleSexual medicine2025

AI-assisted transcription of YouTube videos on penile enlargement: analysis of their text quality and readability.

Mehmet Fatih Şahin, Erdem Can Topkaç, Çağrı Doğan, Serkan Şeramet, Furkan Batuhan Tuncer, Muhammed Sencer Köroğlu, Onur Orbeği, Cenk Murat Yazici

Abstract read
In one paragraph

Article in Sexual medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

8 authors.

Mehmet Fatih ŞahinFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0000-0002-0926-3005
Erdem Can TopkaçFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0009-0002-5479-7599
Çağrı DoğanFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0000-0001-9681-2473
Serkan ŞerametFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0000-0003-3774-7979
Furkan Batuhan TuncerFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0009-0008-9175-4663
Muhammed Sencer KöroğluFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0009-0004-1942-0520
Onur OrbeğiFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0009-0002-0924-5541
Cenk Murat YaziciFaculty of Medicine Department of Urology, Tekirdağ Namık Kemal University, Süleymanpaşa, Tekirdağ 59020, Turkey.ORCID https://orcid.org/0000-0001-6140-5181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients dealing with sensitive issues like penile enlargement (PE) might benefit from YouTube videos. Therefore, it is essential that the textual content of these videos is clear, trustworthy, and of high quality. Aim: Are the AI-assisted acquired texts' qualities and comprehensibilities of YouTube videos about PE enough and suitable for the patients? Methods: On October 25, 2024, Google Trends analysis identified the 25 most searched phrases for "Penile enlargement." Non-related terms were excluded, and the relevant keywords were searched on YouTube. Only content about PE included; excluding duplicates, non-English videos, YouTube shorts, those under 30 seconds, silent, and music-only videos. Videos were transcribed using Whisper AI, and their quality was assessed by M.F.Ş, E.C.T., and Ç.D. using the GQS (global quality scale) and DISCERN, the readability was evaluated via Flesch-Kincaid (FKGL and FKRE) measures. High assessor agreement was noted (Pearson r = 0.912). Videos were categorized by uploader, and metrics such as views, likes, comments, and duration were recorded. The Chi-square test was used for categorical variable comparisons; the Kruskal-Wallis H-Test was applied when normality and homoscedasticity were not met, with Bonferroni post hoc correction for multiple comparisons. Outcomes: The mean DISCERN and GQS scores were 51.23 ± 13.1 and 3.32 ± 0.9, respectively. FKRE and FKGL scores were 73.12 ± 11.7 and 5.85 ± 2.1. Physicians (n = 67) produced the most videos, while academic institutions (n = 2) produced the least. No significant differences in text quality were found between groups ( Results: The video exhibited a high level of readability (indicating comprehensibility for almost a 6th-grade student). Text quality, view and like count of the videos uploaded by academic institutions was the highest. Clinical Implications: In PE, YouTube video's health information needs to be better quality and more trustworthy, according to our research. The language used in videos should be easier to understand. Strengths and Limitations: This study is the first scientific analysis of YouTube video transcripts on PE using AI, focusing specifically on English content, which limits its applicability to non-English speakers and other platforms. Exclusions of silent and shorter videos may result in the omission of valuable information. Conclusion: The need for better quality and trustworthiness in health-related YouTube information, especially for PE is essential. Content makers should stress clear, accessible language and minimize disinformation.

Indexed as

artificial intelligencepenile enlargementtranscriptionwhisperAIYouTube

Identifiers

PMID40259991
PMCPMC12011079

What OpenQuestion holds

Textmetadata
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.