Evidence map›Paper›PMID 40386093›Full record

ArticleDigital health

TikTok's cardiopulmonary exercise testing videos: A content analysis of quality and misinformation.

Xun Gong, Zhineng Zhang, Bo Dong, Hongwei Pan

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Xun GongDepartment of Cardiology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, China.ORCID https://orcid.org/0000-0002-1212-2334
Zhineng ZhangDepartment of Cardiology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, China.
Bo DongDepartment of Cardiology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, China.
Hongwei PanDepartment of Cardiology, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University), Changsha, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiopulmonary exercise testing (CPET) is conducted globally. On TikTok, CPET-related content serves as a key source of information for the public. However, the quality of these videos has not been systematically evaluated. This study aims to assess whether CPET videos on TikTok meet the informational needs of users. Methods: A cross-sectional analysis was performed on TikTok videos about CPET in China. Video sources were identified and analyzed. Content evaluation focused on CPET principles, indications, procedures, and indicator interpretation. The reliability and quality of the videos were assessed using four standardized tools: modified DISCERN, Global Quality Scale (GQS), JAMA benchmarks, and Patient Education Materials Assessment Tool for Audiovisual Materials (PEMAT-A/V). Misinformation was summarized, and the relationship between video quality and characteristics was examined. Results: Of the video sources, 43.8% were from physicians, 12.5% from nonphysicians, 12.5% from general users, 14.5% from news agencies, 12.5% from nonprofit organizations, and 4.2% from for-profit organizations. Median scores for modified DISCERN, GQS, JAMA, PEMAT-A/V understandability, and actionability were 1.00, 1.00, 2.00, 33.00, and 29.00, respectively. Videos by physicians had significantly higher modified DISCERN and JAMA scores compared to those by nonphysicians ( Conclusions: The quality and reliability of CPET videos on TikTok are uncertain, with many containing significant misinformation. This problem largely stems from content creators' insufficient understanding of CPET. To address this, implementing standardized training and certification is necessary. Videos produced by physicians generally exhibit higher quality, highlighting the importance of strengthening their leadership in CPET teams. Furthermore, social media platforms should work with CPET providers and video creators to develop a certification system for medical information. These steps could improve video quality, reduce misinformation, and promote accurate CPET knowledge, ultimately benefiting public health.

Indexed as

Cardiopulmonary exercise testingcontent qualitymisinformationpublic healthTikTok

Identifiers

PMID40386093
PMCPMC12081985

What Socratic 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 Socratic graph.