Evidence map›Paper›PMID 37995024›Full record

ArticleBreast cancer (Tokyo, Japan)2024

A novel system to provide information via online YouTube videos and an evaluation of current online information about hereditary breast cancer.

Asumi Iesato, Atsushi Fushimi, Rie Tahara, Mitsuo Terada, Madoka Iwase, Chihiro Kawamura, Nami Yamashita

Open access · hybridAbstract read
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Guideline
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Quality of Japanese Cancer Websites by Type of Information Provider.Journal of cancer education : the official journal of the American Association for Cancer Education · 2025
    Article
  8. Article
  9. Article
  10. Article
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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

7 authors at 5 institutions in 1 country.

Asumi IesatoGeneral Incorporated Association BC Tube, 1-5-6 Kudan-minami, Chiyoda-ku, Tokyo, 102-0074, Japan. asumi.iesato@jfcr.or.jp.ORCID http://orcid.org/0000-0002-5277-0678
Atsushi FushimiGeneral Incorporated Association BC Tube, 1-5-6 Kudan-minami, Chiyoda-ku, Tokyo, 102-0074, Japan.ORCID http://orcid.org/0000-0003-1328-8835
Rie TaharaGeneral Incorporated Association BC Tube, 1-5-6 Kudan-minami, Chiyoda-ku, Tokyo, 102-0074, Japan.ORCID http://orcid.org/0000-0002-5558-0335
Mitsuo TeradaGeneral Incorporated Association BC Tube, 1-5-6 Kudan-minami, Chiyoda-ku, Tokyo, 102-0074, Japan.ORCID http://orcid.org/0000-0002-1304-2619
Madoka IwaseGeneral Incorporated Association BC Tube, 1-5-6 Kudan-minami, Chiyoda-ku, Tokyo, 102-0074, Japan.ORCID http://orcid.org/0000-0002-4423-4023
Chihiro KawamuraGeneral Incorporated Association BC Tube, 1-5-6 Kudan-minami, Chiyoda-ku, Tokyo, 102-0074, Japan.
Nami YamashitaGeneral Incorporated Association BC Tube, 1-5-6 Kudan-minami, Chiyoda-ku, Tokyo, 102-0074, Japan.ORCID http://orcid.org/0000-0001-7182-1090
Japan Chemical Industry Association · JPJapanese Foundation For Cancer Research · JPJikei University School of Medicine · JPNagoya City University · JPNagoya University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe internet, especially YouTube, has become a prominent source of health information. However, the quality and accuracy of medical content on YouTube vary, posing concerns about misinformation. This study focuses on providing reliable information about hereditary breast cancer on YouTube, given its importance for decision-making among patients and families. The study examines the quality and accessibility of such content in Japanese, where limited research has been conducted.

methodsA nonprofit organization called BC Tube was established in May 2020 to create informative videos about breast cancer. The study analyzed 85 YouTube videos selected using the Japanese keywords "hereditary breast cancer" and "HBOC", categorized into six groups based on the source of upload: BC Tube, hospitals/governments, individual physicians, public-interest organizations/companies, breast cancer survivors, and others. The videos were evaluated based on various factors, including content length, view counts, likes, comments, and the presence of advertisements. The content was evaluated using the PEMAT and DISCERN quality criteria.

resultsBC Tube created high-quality videos with high scores on PEMAT understandability, significantly outperforming other sources. Videos from public-interest organizations/companies received the most views and likes, despite their lower quality. Videos from medical institutions and governments were of superior quality but attracted less attention.

conclusionsOur study emphasizes the importance of promoting accessible, easy-to-understand, and widely recognized medical information online. The popularity of videos does not always correspond to their quality, emphasizing the importance of quality evaluation. BC Tube provides a peer-reviewed platform to disseminate high-quality health information. We need to develop high-quality online health information and encourage the promotion of evidence-based information on YouTube.

Indexed as

Breast NeoplasmsSocial MediaFemaleHumansInformation DisseminationReproducibility of ResultsVideo RecordingHereditary breast cancerOnline health informationPatient and public involvement (PPI)Peer reviewYouTube

Identifiers

PMID37995024
PMCPMC10764382
OpenAlexW4388943847

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.