Evidence map›Paper›PMID 41058629›Full record

ArticleFrontiers in medicine2025

Content accuracy and reliability of pulmonary nodule information on social media platforms: a cross-platform study of YouTube, Bilibili, and TikTok.

Yunanji Zhou, Xiang Zeng, Ting Yuan, Qian Wang, Siqi Wu, Lei Du, Lihua Wang, Jun He

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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.

Yunanji ZhouQi Huang Chinese Medicine Academy, Jiangxi University of Chinese Medicine, Nanchang, China.
Xiang ZengSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China.
Ting YuanSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China.
Qian WangQi Huang Chinese Medicine Academy, Jiangxi University of Chinese Medicine, Nanchang, China.
Siqi WuPulmonary Disease Department, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Lei DuSchool of Clinical Medicine, Jiangxi University of Chinese Medicine, Nanchang, China.
Lihua WangPulmonary Disease Department, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.
Jun HePulmonary Disease Department, Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine, Nanchang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pulmonary nodules (PNs) are often overlooked, potentially leading to health risks. Social media platforms are increasingly used for health information dissemination. This study evaluates the quality and engagement of PN-related videos on YouTube, Bilibili, and TikTok. Methods: On March 1, 2025, we searched each platform using "pulmonary nodule" or its Chinese equivalent. After screening, 271 videos were analyzed. Video characteristics were documented, and quality was assessed using PEMAT, VIQI, GQS, and mDISCERN tools. Inter-rater reliability was high ( Results: The final sample included 98 (YouTube), 74 (Bilibili), and 99 (TikTok) videos. TikTok videos were the shortest (median 114 s) yet had the highest engagement. Nonprofit organizations dominated YouTube uploads; physicians were most common on Bilibili and TikTok. Treatment was the most covered topic. YouTube scored highest in comprehensibility and actionability (PEMAT-T/A), while Bilibili and TikTok scored higher in production quality (VIQI, GQS). Video quality did not differ significantly between professional and non-professional uploaders. Most quality metrics showed weak correlation with audience engagement. Conclusion: Long-form platforms (YouTube and Bilibili) offer higher-quality PN information but lower engagement, whereas short-form platforms (TikTok) show high interaction but lower informational depth. Social media can play a supportive role in public PN education. We provide recommendations for creators, platforms, and viewers to improve the quality and reliability of medical content.

Indexed as

information qualityonline videopublic healthpulmonary nodulesocial media

Identifiers

PMID41058629
PMCPMC12499355

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.