Evidence map›Paper›PMID 42311243›Full record

SynthesisFrontiers in oncology2026

Prostate cancer research on social media platforms: a bibliometric and thematic analysis.

Yang Xie, Huining Huang, Xiurui Chen, Lihua Chen, Zhenning Guo

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Yang Xie *Department of Urology, The Second Nanning People's Hospital & The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Huining Huang *Department of Urology, The Second Nanning People's Hospital & The Third Affiliated Hospital of Guangxi Medical University, Nanning, China.
Xiurui ChenCollege of Mechanical and Electronic Engineering, China University of Petroleum (East China), Qingdao, China.
Lihua ChenDepartment of Clinical Laboratory Medicine, The First People's Hospital of Nanning & The Fifth Affiliated Hospital of Guangxi Medical University, Nanning, China.
Zhenning GuoSchool of Foreign Studies, China University of Petroleum (East China), Qingdao, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Prostate cancer is a highly prevalent malignancy among men globally, posing significant challenges in prevention, treatment, and patient management. Social media platforms, with their real-time accessibility, broad reach, and interactive features, offer novel data sources and intervention avenues for prostate cancer research. However, current studies in this field remain fragmented, lacking a systematic synthesis of the overall knowledge structure, developmental trajectory, and collaborative networks. Methods: A comprehensive search of Web of Science (WoS), PubMed, and IEEE Xplore databases was conducted to identify studies related to prostate cancer on social media platforms published between 2010 and 2025. Eligible studies were analysed using VOSviewer and R package bibliometrix to evaluate publication trends, authorship, citations, and thematic focus. Results: The search retrieved 483 studies, of which 249 met the inclusion criteria. These studies involved 1, 649 authors and were published in 155 journals. A significant increase in publications was observed from 2017 to 2025, with notable citation peaks in 2010, 2014, and 2019. Citation pathways and highly cited publications further elucidated the field's evolution. The United States contributed the most publications (n=52), while the United Kingdom led in international collaborations (Total Link Strength=66). High-frequency keywords included 'quality-of-life', 'information', 'radical prostatectomy', 'risk', 'Twitter' and 'communication'. Three major thematic areas were identified: (1) health information quality assessment, (2) patient education, and (3) personalized patient support and quality-of-life interventions. A strong correlation between prostate cancer and breast cancer research on social media was also observed. Thematic evolution revealed a shift from early foundational biological studies to patient-centred psychosocial support, and further toward integrating artificial intelligence for disease trend monitoring, prognosis prediction, and quality-of-life interventions. Conclusion: This study presents the first systematic bibliometric analysis of prostate cancer research on social media platforms, outlining the field's knowledge map and developmental trajectory. The findings highlight a paradigm shift from micro-level individual care to macro-level precision monitoring, offering evidence-based insights for researchers, healthcare professionals, and policymakers. Future efforts should prioritize interdisciplinary collaboration, optimize information quality, promote equitable access to health information, and integrate emerging technologies into health communication and public health research.

Indexed as

disease managementinformation managementpatient educationprostate cancersocial media

Identifiers

PMID42311243
PMCPMC13268919

What OpenQuestion holds

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LicenceCC BY
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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.