Evidence map›Paper›PMID 39829690›Full record

ArticleClinical diabetes : a publication of the American Diabetes Association2025

The Sugar-Coated Truth: The Quality of Diabetes Health Information on TikTok.

Spruhaa Vasistha, Anuhya Kanchibhatla, Julia E Blanchette, Jorden Rieke, Allyson S Hughes

Abstract read
In one paragraph

Article in Clinical diabetes : a publication of the American Diabetes Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

5 authors.

Spruhaa VasisthaDepartment of Biology, Undergraduate Studies, Denison University, Granville, OH.ORCID https://orcid.org/0009-0002-1351-3246
Anuhya KanchibhatlaDepartment of Nutrition, Undergraduate Studies, Case Western Reserve University, Cleveland, OH.
Julia E BlanchetteDiabetes and Metabolic Care Center, Division of Endocrinology, Department of Medicine, University Hospitals, Cleveland, OH.ORCID https://orcid.org/0000-0002-6714-4792
Jorden RiekeDiabetes and Metabolic Care Center, Division of Endocrinology, Department of Medicine, University Hospitals, Cleveland, OH.
Allyson S HughesOhio University Heritage College of Osteopathic Medicine, Athens, OH.ORCID https://orcid.org/0000-0003-1054-7096

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Clinical and Translational Science Collaborative of Northern Ohio, Catalyzing Linkages to Equity in Health (CLE Health)UM1TR004528 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI GRACE A MCCOMSEY · 2023 to 2026
$32.1M
Diabetes Institute Summer Interprofessional Research Experience (DISIRE) for UndergraduatesR25DK122952 · NIDDK · OHIO UNIVERSITY ATHENS · PI John Joseph Kopchick · 2022 to 2026
$421k
NCATS NIH HHS UL1 TR002548NCATS NIH HHS UM1 TR004528NIDDK NIH HHS R25 DK122952
6 · The paper itself

Abstract

This study aimed to assess diabetes health information found on TikTok and quantify misinformation on TikTok. The authors assessed 171 videos through two health literacy tools, DISCERN and the Patient Education Materials Assessment Tool for Audiovisual Materials, to rate the understandability and actionability of online medical content. The findings from this study encourage health care professionals to use social media platforms to provide factual information about diabetes and advise online health care consumers to use reputable sources such as trusted diabetes organizations' social media accounts, which tend to validate content with clinicians.

Identifiers

PMID39829690
PMCPMC11739353

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.