ReviewFrontiers in oncology2023
The research landscape of the quality of life or psychological impact on gynecological cancer patients: A bibliometric analysis.
Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled 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.
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
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review on the effects of logotherapy and meaning-centered therapy on psychological and existential symptoms in women with breast and gynecological cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Pooled it
- Structural and functional evolution of IL-1 targeting: From systemic neutralization to bioengineered nanotherapies.Materials today. Bio · 2026Review
- Research trends in depression associated with gynecologic cancers from 2006 to 2025: a multidatabase bibliometric and visual analysis.Frontiers in oncology · 2026Review
- A Bibliometric Analysis and Visualization of the Current Status and Future Perspectives of Adrenal Cortical Adenoma.Cureus · 2025Review
- Review
- Epigenetic regulation in female reproduction: the impact of m6A on maternal-fetal health.Cell death discovery · 2025Review
- The pig as a medical model for gynecological diseases: an applied perspective.Frontiers in veterinary science · 2025Review
- Global landscape of COVID-19 research: a visualization analysis of randomized clinical trials.Clinical and experimental medicine · 2024Article
- Beyond the diagnosis: gender disparities in the social and emotional impact of cancer.Revista da Associacao Medica Brasileira (1992) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Gynecological cancer is one of the most common cancers in women. The quality of life (QoL) or psychological impact has emerged as an outcome indicator in many clinical trials of gynecological cancer and gained much concern in the clinical setting at the start of the 21st century. Our paper conducted a bibliometric analysis of QoL or psychological impact on gynecological cancer patients to show the status and hotspots. Methods: Related publications from 2000 to 2022 were included by screening from the Web of Science Core Collection (WOSCC) on 26 June 2022. The bibliometrics was analyzed and visualized by bibliometrix R-package, VOSviewer, and CiteSpace V. Results: A total of 6,479 publications were included in our study. The publications in this field were increased annually. The United States (n = 2,075) was the country with the most published papers. Sydney University (n = 167) was the most productive affiliation. Conclusion: Our study provides an overall analysis of QoL or psychological impact on gynecological cancer patients, which can serve as a reference in future research.
Indexed as
Identifiers
What 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.