Evidence map›Paper›PMID 39995821›Full record

SynthesisFrontiers in immunology2024

Bibliometric analysis of targeted immunotherapy for osteosarcoma-current knowledge, hotspots and future perspectives.

Yunxiang Hu, Rui Yang, Shuai Ni, Zefeng Song

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–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

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yunxiang Hu *Department of Orthopaedic Trauma, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Rui Yang *School of Graduates, Dalian Medical University, Dalian, Liaoning, China.
Shuai Ni *Department of Orthopaedic Trauma, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, China.
Zefeng SongSchool of Graduates, Dalian University of Technology, Dalian, Liaoning, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The objective of this study is to conduct a bibliometric analysis on examining the current condition, areas of interest, and rising trends of immunotherapy for osteosarcoma (ITFOS), as well as its importance in associated research domains. Methods: An extensive collection of academic papers on the use of ITFOS was obtained from the Web of Science between January 1, 2000 and October 20, 2023. Then, using a variety of tools like HisCite, VOSviewer, CiteSpace, and the bibliometrix package, a bibliometric study was carried out. This study included the collection of information on country, institution, author, journal, and keywords. Results: A comprehensive analysis was undertaken on a total of 616 publications obtained from 247 journals, encompassing the contributions of 3725 authors affiliated with 831 institutes spanning across 43 countries/regions. Notably, China exhibited the highest quantity of published 277 (44.99%) articles on ITFOS. The most productive institution was Zhejiang University, with 26 (4.22%) publications. The author with the highest publication output was Tsukahara, Tomohide from Japan with 15 (2.44%) publications. The article with the most citation was "DOI: 10.1200/JCO.2014.58.0225". Frontiers in Immunology demonstrated the highest level of productivity, having published a total of 31 (5.03%) articles. The most frequently used were "osteosarcoma," "immunotherapy," and "cancer,". Meanwhile, "sequencing", "prognostic signature" and "immune microenvironment" have been identified as the research frontiers for the forthcoming years. Conclusion: This paper provides a thorough evaluation of current research trends and advancements in ITFOS. It includes relevant research findings and emphasizes collaborative efforts among authors, institutions, and countries.

Indexed as

BibliometricsBone NeoplasmsImmunotherapyOsteosarcomaHumansimmune checkpoint inhibitorimmune functionimmunotherapyosteosarcomatargeted therapy

Identifiers

PMID39995821
PMCPMC11847827

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Registered trials

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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.