ArticleComplementary therapies in medicine2022
YouTube as a source of information regarding the effect of vitamin C on coronavirus disease.
Article in Complementary therapies in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed, 11 citations in OpenAlex.
- Quality, usefulness, reliability, and accuracy of YouTube™ information on dental visits for children with autism: a cross-sectional study.Clinical oral investigations · 2025Article
- The origin of YouTube videos on hereditary angioedema matters.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2025Article
- Assessment of the information provided by ChatGPT regarding exercise for patients with type 2 diabetes: a pilot study.BMJ health & care informatics · 2024Article
- Content Analysis of YouTube Videos on the Effect of Vitamin C on Common Cold.Korean journal of family medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWith the expansion of the internet, social media platforms have become a major source of medical information. However, medical information on online multimedia platforms is often inaccurate. In the current study, we evaluated the reliability, quality, and accuracy of the most viewed YouTube videos featuring the effects of vitamin C on COVID-19.
methodsA search was conducted on YouTube on January 13, 2022, using the keywords ("ascorbic acid" OR "vitamin C" OR "sodium ascorbate" OR "L-ascorbic") AND ("coronavirus" OR "COVID 19" OR "COVID-19" OR "Corona" OR "COVID" OR "SARSCoV2"). We assessed the 50 most-viewed videos using a modified DISCERN scale (mDISCERN) and Global Quality Scale (GQS). Additionally, the accuracy of the information in each video was evaluated.
resultsOut of the 50 most-viewed videos featuring the effect of vitamin C on COVID-19, 54% were not reliable. Furthermore, 62% presented poor quality, and 74% were misleading or neither accurate nor misleading. The average mDISCERN and GQS scores of the 50 included videos were 2.2 ± 1.4 (≥ 3: highly reliable) and 2.2 ± 1.1 (2: generally poor), respectively. Although the videos were made by medical doctors, their reliability, quality, and accuracy were not significantly different from those displayed in other sources, including fitness channels, television or internet-based news or programs, consumers, company channels, product advertisements, or prepared by nurses.
conclusionsThe reliability, quality, and accuracy of the 50 most-viewed videos on the effect of vitamin C on COVID-19 were not high. Video creators, especially medical doctors, should make an effort so that the videos present reliable content with high-quality and correct information is disseminated to people.
Indexed as
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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.