Evidence map›Paper›PMID 41623325›Full record

ArticleGynecologic oncology reports2026

From #cervicalcancerscreening to #LEEP - Quality and accuracy of cervical cancer content on TikTok.

Harriet Rothschild, Kelsey Keverline, Sara McKinney, Maureen Farrell, Minhazur Sarker

Abstract read
In one paragraph

Article in Gynecologic oncology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Cancer Education in the Age of TikTok and Social Media: Opportunity or Misinformation?Journal of cancer education : the official journal of the American Association for Cancer Education · 2026
    Article
  2. Article
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.

Harriet RothschildDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.
Kelsey KeverlineDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.
Sara McKinneyDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.
Maureen FarrellDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.
Minhazur SarkerDepartment of Obstetrics, Gynecology, and Reproductive Sciences, University of California San Diego, La Jolla, CA, USA.

Funding

TRAINING IN REPRODUCTIVE SCIENCEST32HD007203 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PAMELA L MELLON · 1988 to 2026
$4.8M
NICHD NIH HHS T32 HD007203
6 · The paper itself

Abstract

Objectives: Many reproductive-aged individuals use social media platforms to gather medical advice or find community. TikTok is one of the fastest growing social media platforms and used by many reproductive-aged individuals. Methods: We evaluated the top 100 English-language videos on cervical cancer screening and dysplasia treatment for relevance to the hashtag and content quality and accuracy. Results: Among the included videos, most of the content highlighted patients' personal experiences and provided little medical educational value. Notably, the videos created by medical professionals were higher quality and more often contained accurate health information. Conclusions: This study highlights the need to increase content quality on TikTok to raise awareness and uptake for cervical cancer screening and treatment in reproductive-aged individuals.

Indexed as

Cervical cancer screeningSocial media

Identifiers

PMID41623325
PMCPMC12854059

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.