Evidence map›Paper›PMID 41509604›Full record

ReviewThe archives of bone and joint surgery2025

Osteosarcoma Management in the Precision Medicine Era: Bibliometric Analysis and Clinical Progress (2015-2024).

Khodamorad Jamshidi, Sam Hajialiloo Sami, Hamed Naghizadeh, Khalil Kargar Shooroki, Reza Ahmadi, Seyyed Saeed Khabiri

Abstract readReview
In one paragraph

Review in The archives of bone and joint surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Khodamorad Jamshidi
Sam Hajialiloo Sami
Hamed Naghizadeh
Khalil Kargar Shooroki
Reza Ahmadi
Seyyed Saeed Khabiri

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Osteosarcoma, the most common high-grade malignant bone tumor, has experienced only limited progress in therapeutic options, highlighting the urgent need for more effective treatments. This review examines bibliometric trends and clinical developments in osteosarcoma research from 2015 to 2024, with a particular focus on precision medicine and personalized therapy. Methods: A search in the Web of Science Core Collection identified 17,476 osteosarcoma-related publications for bibliometric analysis. Key metrics, including publication trends, international collaborations, and emerging research topics, were evaluated using the Bibliometrix R package. Additionally, a clinical review examined recent innovations in diagnostic imaging, prognostic biomarkers, chemotherapy resistance, targeted therapies, immunotherapies, and surgical techniques. Results: Research publications on osteosarcoma steadily increased, peaking at 2,009 in 2021, with significant contributions from China, the United States, Japan, India, and Italy. Key research themes encompassed apoptosis, metastasis, chemotherapy resistance, and immunotherapy. Advances in imaging techniques, such as dynamic MRI and PET/CT, have significantly enhanced tumor staging and prediction of treatment response. Emerging biomarkers, including genetic alterations (TP53, RB1, MYC) and inflammatory markers, have become important prognostic tools. Surgical innovations, including patient-specific instrumentation and limb-sparing techniques, have improved patient outcomes. Furthermore, targeted therapies (kinase inhibitors, antibody-drug conjugates) and immunotherapies (CAR T-cell therapy, immune checkpoint inhibitors) have demonstrated promising results in clinical trials. Conclusion: Integrating bibliometric insights with clinical advancements underscores the importance of personalized approaches in osteosarcoma management. Predictive imaging biomarkers and precision-targeted therapies play a crucial role, and future research should focus on their clinical validation to enhance patient outcomes.

Indexed as

Bibliometric reviewBiomarkersImmunotherapyOsteosarcomaTherapeutic innovations

Identifiers

PMID41509604
PMCPMC12777663

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.