Evidence map›Paper›PMID 41450569›Full record

ArticleFrontiers in cellular and infection microbiology2025

Cross-platform assessment of short-form video quality on the gut-liver axis: informational integrity and engagement disparity.

Man Sun, Dan Zang, Jun Chen

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Man Sun *Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Dan Zang *Department of Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.
Jun ChenDepartment of Oncology, The Second Hospital of Dalian Medical University, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The gut-liver axis has emerged as a pivotal focus in hepatology and metabolic disease research. However, the quality of public-facing health information, particularly in short-form video content, remains largely unexamined. Methods: Between January 2021 and October 2025, we systematically screened and analyzed 210 short videos (70 per platform) on the gut-liver axis. Basic metadata were extracted, and video quality was assessed using three validated tools: the modified DISCERN instrument, JAMA Benchmark Criteria, and Global Quality Score (GQS). Pearson correlation was used to explore associations between video metrics and quality scores. Results: Bilibili videos showed the highest educational quality (mean GQS: 3.79), while TikTok videos had greater engagement (median likes: 74.00). Videos uploaded by healthcare professionals scored significantly higher across all quality measures (SUM score: 9.03 Conclusion: A misalignment exists between user engagement and informational quality in gut-liver-related short videos. Content from verified health professionals delivers superior educational value yet remains algorithmically underprioritized. Efforts to enhance digital health communication should focus on promoting expert-led content, verifying source credentials, and integrating quality-weighted algorithms.

Indexed as

Gastrointestinal TractLiverVideo RecordingHumansgut-liver axisgut microbiotahealth information qualityliver diseaseshort-form videossocial media platforms

Identifiers

PMID41450569
PMCPMC12727577

What OpenQuestion holds

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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.