Evidence map›Paper›PMID 39906608›Full record

ArticleJournal of patient-centered research and reviews2025

Cross-Platform Analysis of Mammography Narratives: A Comparative Study on Social Media Engagement.

Thomas Stirrat, Jonathan Garner, Parth Tailor, Daniel Weitz, Muhammad Umair, Yusuf T Akpolat

Abstract read
In one paragraph

Article in Journal of patient-centered research and reviews, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Thomas StirratSchool of Medicine, Georgetown University, Washington, DC.
Jonathan GarnerSchool of Medicine, Georgetown University, Washington, DC.
Parth TailorIndependent Research Statistician, Kitchener, ON, Canada.
Daniel WeitzSchool of Medicine, Georgetown University, Washington, DC.
Muhammad UmairDepartment of Radiology, Johns Hopkins University, Baltimore, MD.
Yusuf T AkpolatWinchester Radiologists, Winchester, VA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study examines the representation of mammography on social media platforms, specifically, X (Twitter), Facebook, TikTok, and Instagram, from 2006 to 2023. X (Twitter) went public in 2006, Facebook in 2004, Instagram in 2012, and TikTok in 2018 (after merging with Musical.ly). The analysis starts from after the public launch years to analyze personal experiences shared online. Methods: A retrospective content analysis was conducted on 1,771 posts using specific hashtags related to mammography. Posts were categorized into themes including emotional and psychological impacts, clinical and procedural details, and social and supportive interactions. The analysis involved summarizing the distribution of themes across different social media platforms, focusing on frequency counts and percentages. Results: The analysis revealed that, among included posts, Instagram hosted the most discussions (621 posts), followed by TikTok (457 posts), X (Twitter) (403 posts), and Facebook (290 posts). Key themes identified included raising awareness (1,735 posts), spreading positivity (1,675 posts), and discussing clinical aspects, such as diagnosis (1,197 posts) and quality of life (1,011 posts). Posts often highlighted concerns about discomfort (701 posts) and anxiety (835 posts) related to mammography, while also emphasizing the importance of early detection and the support found within online communities. Conclusions: Social media serves as a powerful tool for public health communication, offering a mix of positive narratives and highlighting concerns about mammography. The significant engagement from the general public reflects a diverse array of perspectives that can inform future health communication strategies.

Indexed as

breast cancer awarenesshealth communicationmammographypublic health educationsocial media

Identifiers

PMID39906608
PMCPMC11789821

What OpenQuestion holds

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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 OpenQuestion graph.