ArticleFrontiers in digital health2026
Quality and reliability of myelodysplastic syndromes-related health information on Chinese short-video platforms: a multi-platform cross-sectional analysis.
Article in Frontiers in digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Myelodysplastic syndromes (MDS) are common hematologic malignancies among older adults. With the rapid growth of short-video platforms, patients increasingly seek MDS-related health information online; however, the quality of MDS-related health information available on short-video platforms has not been systematically evaluated. Objective: This study assessed the quality and reliability of MDS-related short videos across three major Chinese platforms and examined the relationship between content quality and user engagement. Methods: Between June 25 and June 30, 2026, a total of 210 MDS-related videos were systematically collected from TikTok (Chinese version: Douyin), Bilibili, and Xiaohongshu (70 videos per platform). Video metadata were extracted, and content quality was independently evaluated using three validated instruments: the modified DISCERN (mDISCERN), the Journal of the American Medical Association (JAMA) benchmark criteria, and the Global Quality Scale (GQS). An overall quality score (SUM) was calculated by combining the three assessment tools. Spearman correlation analysis was performed to examine the associations between user engagement metrics and content quality. Results: Bilibili videos demonstrated the highest overall educational quality (mean SUM score: 9.79 ± 2.35), whereas TikTok generated the greatest user engagement (median number of likes: 81.00). Videos produced by professional creators achieved significantly higher scores across all quality assessment instruments than those produced by non-professional creators (mean SUM score: 8.81 vs. 5.03, Conclusions: User engagement was disconnected from information quality in MDS-related short videos. Professional creators provided greater educational value without consistently receiving commensurate engagement. Digital health communication should prioritize expert-led content, transparent source attribution, and quality-informed dissemination.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.