ReviewIranian journal of public health2025
A Scientometric Perspective on Stigma Research in Medicine: A Bibliometric Review.
Review in Iranian journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Stigma is a critical social determinant of health, influencing individuals' access to resources, quality of life, and overall well-being. Despite its significant implications, bibliometric studies on stigma in the medical field remain sparse. We provide a comprehensive scientometric analysis of stigma research in medicine over the past 30 years, highlighting trends, key focus areas, and evolving challenges. Methods: A bibliometric analysis was conducted using VOSviewer software, utilizing data from the Scopus database. The search included articles with the keyword "stigma*" in the title, published between 1992 and 2022, within the fields of Medicine, Nursing, and Professional Health. The initial search yielded 20,284 articles, narrowed down to 7,854 relevant publications for detailed analysis. Key metrics analyzed included co-authorship, co-occurrence of keywords, and co-citation patterns. Results: The analysis revealed a significant increase in stigma-related publications in the medical field, particularly since 2010, with a peak in 2022, largely driven by the COVID-19 pandemic. The research identified nine major keyword clusters, 40 associated diseases, and 36 target groups. Persistent diseases like HIV, mental illness, addiction, and cancer continue to be strongly associated with stigma. Conclusion: The findings underscore the evolving nature of stigma research in medicine, with an increasing focus on intersecting stigmas and their persistent impact on public health. Future research should aim to develop comprehensive models and strategies to manage and reduce stigma, particularly for diseases with enduring stigmatic associations. Collaborative efforts among policymakers, healthcare providers, and society are crucial to address the social and economic consequences of stigma and improve health outcomes.
Indexed as
Identifiers
40225252PMC11992910What OpenQuestion holds
Registered trials
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.