Evidence map›Paper›PMID 39078507›Full record

ArticlePediatric nephrology (Berlin, Germany)2024

TikTok and pediatric nephrology: content quality assessment of videos related to pediatric kidney disease and kidney transplant.

Hannah Sturm, Mahie Abdullah, Arshia Anand, Jonah Sethna, Rachel Frank, Laura Castellanos, Pamela Singer, Abby Basalely

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Article in Pediatric nephrology (Berlin, Germany), 2024. 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.

  1. Review
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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

8 authors.

Hannah SturmZucker School of Medicine at Northwell/Hofstra, Uniondale, NY, USA.ORCID 0009-0007-5355-0566
Mahie AbdullahDivision of Pediatric Nephrology, Cohen Children's Medical Center, 269-01 76th Avenue, New Hyde Park, NY, 11040, USA.
Arshia AnandDivision of Pediatric Nephrology, Cohen Children's Medical Center, 269-01 76th Avenue, New Hyde Park, NY, 11040, USA.
Jonah SethnaDivision of Pediatric Nephrology, Cohen Children's Medical Center, 269-01 76th Avenue, New Hyde Park, NY, 11040, USA.
Rachel FrankDivision of Pediatric Nephrology, Cohen Children's Medical Center, 269-01 76th Avenue, New Hyde Park, NY, 11040, USA.
Laura CastellanosDivision of Pediatric Nephrology, Cohen Children's Medical Center, 269-01 76th Avenue, New Hyde Park, NY, 11040, USA.
Pamela SingerDivision of Pediatric Nephrology, Cohen Children's Medical Center, 269-01 76th Avenue, New Hyde Park, NY, 11040, USA.
Abby BasalelyDivision of Pediatric Nephrology, Cohen Children's Medical Center, 269-01 76th Avenue, New Hyde Park, NY, 11040, USA. abasalely@northwell.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media platforms such as TikTok™ are key sources of health information for young patients and caregivers. Misinformation is prevalent on TikTok™ across healthcare fields, which can perpetuate false beliefs about medical care. Limited data exists on the reliability of pediatric nephrology TikTok™ content. This study aimed to describe the quality of medical content of TikTok™ Videos (TTVs), related to pediatric kidney disease and transplant.

methodsTTVs were selected using specific search terms and categorized into pediatric kidney disease and kidney transplant, excluding duplicate and adult-related content. The top 100 TTVs in each category, based on views, were analyzed. TTV characteristics were stratified by account type (physician, non-physician healthcare professional (HCP), non-HCP) and video aim (personal story, education, entertainment). DISCERN scoring, a validated questionnaire evaluating health information reliability, was conducted by 4 independent raters. Inter-rater reliability was assessed using a 2-way random effects model, and differences between content creator types were evaluated using one-way ANOVA and post-Hoc Tukey test.

resultsTTVs had a total of 12.5 million likes and 113.1 million views. Over 70% of videos were created by non-HCPs (n = 147/200). DISCERN scoring revealed low reliability of medical information across content creator types. TTVs created by physicians and non-physician HCPs about kidney disease had significantly higher mean DISCERN scores compared to those created by non-HCPs (2.85, p < 0.001 and 2.48, p = 0.005, respectively).

conclusionsEducators within the pediatric nephrology community must keep in mind the lack of reliability of medical information available on TikTok™ and coordinate collective efforts to consider utilizing TikTok™ for patient education.

Indexed as

Kidney TransplantationNephrologySocial MediaVideo RecordingChildHumansKidney DiseasesPatient Education as TopicPediatricsReproducibility of ResultsFamily-centered carePatient engagementPediatric chronic kidney diseasePediatric kidney transplantSocial media

Identifiers

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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 Socratic graph.