ReviewOncology and therapy2026
A Comprehensive Mapping of Real-World Studies and Data Sources for Oncology in China: Insights into Landscape, Challenges, and Future Direction.
Review in Oncology and therapy, 2026. 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionCancer remains a major public health concern in China, with approximately 2.57 million cancer-related deaths reported in 2022. Real-world studies (RWS), which leverage high-quality real-world data (RWD), can generate robust real-world evidence (RWE) to enhance clinical decision-making and improve patient outcomes across diverse oncology settings.
methodsA comprehensive literature search of four bibliographic databases (PubMed, Embase, China National Knowledge Infrastructure, and Wanfang) was conducted to identify oncology-related RWS articles and RWD sources covering Chinese populations from 2015 to 2025.
results2606 RWS articles were identified. The findings indicate a growing trend in RWS publications, with a predominant focus on disease epidemiology. A total of 126 databases were extracted. Registries were observed as the main source of RWD. The top three investigated cancer types were digestive system, thoracic, and breast neoplasms. RWD sources are predominantly concentrated in coastal regions, reflecting disparities in the geographical distribution of oncology research.
conclusionEnhancing data quality and promoting the aggregation of RWD are essential for maximizing the utility of RWD in advancing oncology care in China. Moving forward, standardized regulatory procedures, improved data accessibility, and collaboration across the healthcare ecosystem are essential to unlock the value of RWD and improve patient outcomes.
Indexed as
Identifiers
What Socratic 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 Socratic graph.