Evidence map›Paper›PMID 41988993›Full record

ArticleThoracic cancer2026

Quality and Reliability of Lung Cancer Treatment Short Videos on Chinese Social Media: A Cross-Sectional Analysis for Cancer Education Improvement (January 1, 2020-October 30, 2025).

Zengrui Wang, Zhuang Luo, Le Wang, Jiefu Tang, Zhi Zhang, Xinli Fan

Abstract read
In one paragraph

Article in Thoracic cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Zengrui WangKunming Medical University, Kunming, China.ORCID https://orcid.org/0009-0006-2819-4662
Zhuang LuoKunming Medical University, Kunming, China.
Le WangKunming Medical University, Kunming, China.
Jiefu TangKunming Medical University, Kunming, China.
Zhi ZhangKunming Medical University, Kunming, China.
Xinli FanKunming Medical University, Kunming, China.

Funding

Discipline Leader Program of the First Affiliated Hospital of Kunming Medical University grantNo.2022535D01Young and Middle-Aged Leaders and Reserve Candidates of Kunming Medical University - "Cheng Feng" Talent Training ProgramYunnan Xingdian Talent Support Program grantNo.RLMY20220004
6 · The paper itself

Abstract

backgroundShort-form videos have become the common source of cancer information for Chinese patients and caregivers. We evaluated the content, quality, and reliability of lung cancer treatment videos on TikTok, Bilibili, and Kwai and generated evidence-based recommendations for cancer health education.

methodsWe conducted a cross-sectional study of lung cancer treatment short videos on TikTok, Bilibili, and Kwai. The top 200 most-liked videos per platform posted between January 1, 2020 and October 30, 2025, were retrieved on November 1, 2025. After screening, 300 videos (100 per platform) were analyzed. Two oncologists rated quality using GQS (1-5) and DISCERN (1-5); creator identity was classified. Comment sentiment (SnowNLP) and engagement metrics were analyzed.

resultsTikTok had the highest engagement and quality (GQS 3.0, DISCERN 3.0) versus Bilibili/Kwai (2.0) (p < 0.001). Professionals achieved the highest quality (GQS 3.0) versus institutions (1.0) (p < 0.001). However, absolute quality was low across all platforms: only 6% of videos met high-quality criteria (GQS ≥ 4), and 5% met DISCERN ≥ 4. Engagement showed a weak negative correlation with quality (ρ = -0.13 to -0.21).

conclusionsOverall quality is low; professional content is more reliable but less viral. Embedding quality indicators in algorithms and promoting certified creators could improve patient cancer education.

Indexed as

Health EducationLung NeoplasmsSocial MediaVideo RecordingChinaCross-Sectional StudiesDigital MediaHumansReproducibility of Resultshealth educationlung cancersocial mediaTikTokvideo quality

Identifiers

PMID41988993
PMCPMC13084701

What OpenQuestion holds

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LicenceCC BY
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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.