ArticleDiscover oncology2025
Global research trends in PARP inhibitors for ovarian cancer: a bibliometric analysis.
Article in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This bibliometric analysis maps global research trends on PARP inhibitors (PARPis) in ovarian cancer from January 2021 to May 2025, utilizing 1,434 publications retrieved from the Web of Science Core Collection. Employing Bibliometrix, VOSviewer, and CiteSpace, the study quantifies contributions across countries, institutions, authors, and research foci. Key findings reveal the United States (440 publications) and China (352) as leading producers, with UNICANCER (287 publications) and Memorial Sloan Kettering Cancer Center (61) as top institutions. Keyword clustering identified six research themes: PARPi resistance mechanisms (Cluster 1, red) emerged as the dominant focus, followed by immunotherapy combinations for platinum-resistant disease (Cluster 2, green), maintenance therapy (Cluster 3, blue), BRCA mutations (Cluster 4, yellow), applications beyond ovarian cancer (Cluster 5, purple), and anti-angiogenic mechanisms (Cluster 6, light blue). Temporal analysis highlighted an evolution from foundational research (e.g., DNA repair pathways) toward clinical translation (e.g., maintenance therapy optimization). Notable citation bursts surrounded clinical milestones, including the SOLO1 trial's 7-year overall survival data (burst strength: 23.99), underscoring the field's emphasis on survival outcomes. Critical gaps persist in understanding resistance mechanisms and developing immuno-combination strategies, which constituted only 4.8% of keyword frequency. The study underscores the need for intensified research into resistance mitigation and transnational collaboration, particularly between established Euro-American networks and emerging East Asian hubs, to address therapeutic challenges and optimize clinical impact.
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.