ArticleDiscover oncology2025
Decoding colorectal cancer targeted therapy: a bibliometric journey of the last decade (2015-2024).
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 3 papers.
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
3 citing papers in PubMed.
- Bibliometric and visualized analysis of nanomedicine research trends for gastric cancer during the early 21st century.Discover nano · 2026Review
- Research productivity and trends in gastric neuroendocrine neoplasms in the early 21st century: a bibliometric and visualized analysis.Discover oncology · 2025Article
- Web-based explainable machine-learning tool for predicting five-year recurrence of colorectal cancer after curative resection: multicentre retrospective cohort study.Discover oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Colorectal cancer remains one of the most commonly diagnosed cancers globally, with a significant impact on public health. Targeted therapies have revolutionized the treatment landscape for colorectal cancer by offering increased specificity and reduced systemic toxicity compared to conventional chemotherapy. This study provides a comprehensive bibliometric analysis of global research on targeted therapy for colorectal cancer, focusing on publications from 2015 to 2024. A total of 3213 publications were retrieved from the Web of Science Core Collection and analyzed using bibliometric tools to construct knowledge maps and visualize research trends. The regression analysis shows a strong upward trend in publications from 2015 to 2024 (P < 0.001, R
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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.