Evidence mapPaperPMID 41216478Full record

ReviewJournal of multidisciplinary healthcare2025

Global Trends and Research Hotspots in Social Isolation Among Cancer Patients: A Bibliometric Analysis (2005-2024).

Ge-Ling Lu, Chun-Rao Zheng, Yu-Fan Hu, Qun-Fang Li, Ting Huang, Yu-Chang Mai, Peng-Yan Zhang, Wei-Xiang Luo

Abstract readReview
In one paragraph

Review in Journal of multidisciplinary healthcare, 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

8 authors.

Ge-Ling Lu *Division of Breast Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.ORCID 0000-0002-2315-1691
Chun-Rao Zheng *Division of Breast Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.
Yu-Fan HuDepartment of Oncology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.
Qun-Fang LiDivision of Breast Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.
Ting HuangDivision of Breast Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.
Yu-Chang MaiDivision of Breast Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.
Peng-Yan ZhangDivision of Breast Surgery, Department of General Surgery, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.
Wei-Xiang LuoDepartment of Nursing, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The psychosocial impact of cancer, particularly social isolation, has gained increasing recognition in oncology research. This bibliometric analysis maps the global research landscape and evolving trends in social isolation among cancer patients over two decades. Methods: We retrieved original research articles and review papers on cancer research associated with social isolation from Web of Science database between 2005 and 2024. Utilizing bibliometric platforms such as CiteSpace, VOSviewer, and bibliometric websites, we analyzed the annual publication trends, leading journals, countries, institutions, and authors in this field. Additionally, by analyzing keyword visualizations and keyword bursts, we identified the emerging and popular research areas related to social isolation in cancer research. Results: We systematically analyzed 1219 publications from 2005 to 2024. Globally, the United States accounted for the highest proportion of research output (34.78%), ahead of England (16.57%) and China (7.71%). In terms of institutional contributions, the top three positions were held by the University of London (58 publications), the University of California System (54 publications) and French National Institute of Health and Medical Research (Institut National de la Santé et de la Recherche Médicale, INSERM; 52 publications). Conclusion: This study reveals accelerating global interest in cancer-related social isolation and highlights the need for multidisciplinary approaches that integrate biological and psychosocial perspectives in cancer survivorship care, particularly through targeted interventions for vulnerable populations.

Indexed as

bibliometriccancerhotspotslonelinesssocial isolation

Identifiers

PMID41216478
PMCPMC12596869

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.