Diagnostic research in immune checkpoint inhibitor-related pneumonitis: a bibliometric analysis of research evolution, diagnostic focuses, and future priorities - Summary - MDSpire

Diagnostic research in immune checkpoint inhibitor-related pneumonitis: a bibliometric analysis of research evolution, diagnostic focuses, and future priorities

  • By

  • Luwei Han

  • Wei Zhang

  • Qi Zhang

  • Wenhao Shen

  • Ping Yang

  • Bing Fang

  • Yuanxin Meng

  • Yi Liu

  • Ziyan Ren

  • Ruiyang Fei

  • Xinran Zhang

  • Jiaxing Li

  • Kaijin Lu

  • Gaohua Han

  • July 13, 2026

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Objective:

To analyze the literature on immune checkpoint inhibitor-related pneumonitis (CIP) and its diagnostic assessment using bibliometric methods.

Approach:
  • Data Collection: Publications on CIP and diagnostic assessment were retrieved from the Web of Science Core Collection (WoSCC) and PubMed.
  • Analysis Tools: Microsoft Excel, VOSviewer, CiteSpace, Bibliometrix, and SCImago Graphica were used for bibliometric analysis.
  • Dataset: 628 WoSCC records were included for bibliometric analysis, and 74 PubMed records were used for supplementary clinical-topic assessment.
Key Findings:
  • CIP research increased significantly after 2015, with the highest output in 2023.
  • China published the most papers, while the United States had the greatest citation impact.
  • Research themes shifted from melanoma and T cells to diagnosis, imaging features, and biomarkers.
  • Key clinical diagnostic themes included imaging features, bronchoalveolar lavage, and risk prediction.
Interpretation:

Research into CIP has evolved towards diagnostic assessment and personalized risk assessment, reflecting the clinical challenges in distinguishing CIP from other pulmonary complications.

Limitations:
  • Existing evidence is scattered across multiple disciplines, complicating the understanding of research direction.
  • Current studies may lack standardized diagnostic strategies linked to prognosis.
Conclusion:

Future research should focus on developing and validating standardized, multicenter diagnostic strategies for CIP, incorporating imaging findings, bronchoalveolar lavage, and predictive models.

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