ReviewNaunyn-Schmiedeberg's archives of pharmacology2026
Emerging research themes in drug resistance in osteosarcoma: a 25-year bibliometric and visualized analysis.
Review in Naunyn-Schmiedeberg's archives of pharmacology, 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug resistance is a major barrier to effective treatment in osteosarcoma, the most common primary malignant bone tumor in adolescents and young adults. Although advancements in surgical techniques and chemotherapeutic regimens have improved local control, long-term survival rates remain stagnant, largely due to intrinsic and acquired resistance mechanisms. This study aimed to perform a comprehensive bibliometric and visualized analysis of global research trends in osteosarcoma drug resistance from 2000 to 2025. A total of 927 English-language articles and reviews were retrieved from the Web of Science Core Collection and analyzed using VOSviewer, CiteSpace, Scimago Graphica, and Charticulator. Our findings reveal a steady increase in annual publications, with China and the USA leading in productivity and academic influence, respectively. Thematic evolution in this field has shifted from classical mechanisms such as P-glycoprotein and apoptosis to emerging areas including autophagy, EMT, non-coding RNAs, tumor microenvironment remodeling, and nanomedicine. Recent keyword and reference burst analyses suggest growing interest in immunotherapy, ferroptosis, metabolic vulnerabilities (e.g., methionine dependence), and exosome-mediated resistance pathways. This study provides a macroscopic view of the knowledge landscape in osteosarcoma drug resistance and highlights the importance of integrating interdisciplinary approaches such as spatial omics, immunometabolism, and precision drug delivery into future research and clinical translation. These insights may inform the development of novel and personalized therapeutic strategies to improve outcomes for osteosarcoma patients.
Indexed as
Identifiers
41055716What 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.