ArticleAdvanced biomedical research2025
A Bibliometric Analysis of Drug Resistance in Pediatric Acute Lymphoblastic Leukemia.
Article in Advanced biomedical research, 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
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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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Despite the improved outcomes in acute lymphoblastic leukemia (ALL), drug resistance remains a major challenge. This study provides the first overview of global research trends in pediatric ALL drug resistance, highlighting emerging directions. Materials and Methods: In this bibliometric study, related keywords such as acute lymphoblastic leukemia, pediatric, and drug resistance were searched in the Web of Science (WOS) Core Collection. The retrieved papers were subjected to bibliometric analysis and visualization using Biblioshiny and VOSviewer. Results: A total of 432 original papers and 94 review articles by 2546 researchers from 48 countries were analyzed. The United States contributed 148 articles, which received 9569 citations. Bradford's law identified nine core sources, with Conclusion: Medical researchers have been attracted to different aspects of drug resistance in pediatric ALL. This bibliometric analysis reflects the current state of research on drug resistance in pediatric ALL and draws attention to critical concerns that require further investigation.
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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.