Evidence map›Paper›PMID 38698828›Full record

ArticleDigital health

YouTube as a source of information for cryptococcal infection: A cross-sectional study.

Kaijun Liao, Zhiqiang Feng, Dongli Lu, Jianping Xia, Zhaochun Wu, Zhenghua Jiang, Kun Chen, Hongqiang Qiu

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. 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

8 authors.

Kaijun LiaoDepartment of Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Zhiqiang FengDepartment of Urology, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Dongli LuDepartment of Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Jianping XiaDepartment of Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Zhaochun WuDepartment of Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Zhenghua JiangDepartment of Pharmacy, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Kun ChenRespiratory Department, Nanping First Hospital Affiliated to Fujian Medical University, Nanping, China.
Hongqiang QiuDepartment of Pharmacy, Fujian Medical University Union Hospital, Fuzhou, China.ORCID https://orcid.org/0000-0003-3285-8768

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Immunocompromised individuals, particularly HIV patients, worldwide are at risk from cryptococcal infection. There are a number of videos of cryptococcal infection and more and more individuals may search these videos, but the quality of videos on YouTube is unclear. This study set out to assess the content and quality of YouTube videos regarding cryptococcal infection. Methods: The keywords " Results: A total of 46 videos were located, and the ratings provided by the two raters were identical. Our scoring algorithm determined that 54.3% (n = 25), 32.6% (n = 15) and 13.0% (n = 6) of the videos were poor, decent and exceptional, respectively. Regarding quality, no difference was identified between the various video categories. The global quality scale, number of views, days posted, content score and DISCERN showed a significant positive relationship. Conclusions: Professional individuals or healthcare organizations should be encouraged to submit high-quality videos for the expanding internet population, as only a small proportion of available videos had exceptional quality.

Indexed as

cross-sectional studyCryptococcal infectionhealthcare informationInternetYouTube videos

Identifiers

PMID38698828
PMCPMC11064749

What OpenQuestion holds

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LicenceCC BY-NC
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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.