Evidence map›Paper›PMID 42516133›Full record

SynthesisFrontiers in oncology2026

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

Luwei Han, Wei Zhang, Qi Zhang, Wenhao Shen, Ping Yang, Bing Fang, Yuanxin Meng, Yi Liu, Ziyan Ren, Ruiyang Fei and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Luwei HanDalian Medical University, Dalian, China.
Wei ZhangDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Qi ZhangDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Wenhao ShenDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Ping YangDalian Medical University, Dalian, China.
Bing FangDalian Medical University, Dalian, China.
Yuanxin MengDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Yi LiuDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Ziyan RenDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Ruiyang FeiDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Xinran ZhangDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Jiaxing LiDepartment of Oncology, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Kaijin LuDepartment of Thoracic Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University, Taizhou, China.
Gaohua HanDalian Medical University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immune checkpoint inhibitor-related pneumonitis (CIP) is an important pulmonary toxicity in cancer immunotherapy. Its diagnostic assessment is difficult because symptoms and imaging overlap with infection, radiation pneumonitis, tumor progression, pre-existing interstitial lung disease, and other drug-induced lung injuries. Although publications on CIP have increased in recent years, research on diagnostic assessment remains insufficiently described. Methods: Publications on CIP and diagnostic assessment were retrieved from the Web of Science Core Collection (WoSCC) and PubMed. After screening, 628 WoSCC records were included as the main dataset for bibliometric analysis, and 74 PubMed records were used for supplementary clinical-topic assessment. Microsoft Excel, VOSviewer, CiteSpace, Bibliometrix, and SCImago Graphica were used to examine publication trends, country and institutional contributions, author collaboration, journal distribution, keyword co-occurrence, clustering, burst terms, and PubMed-based diagnostic topic classification. Results: CIP research was sparse before 2015, increased after 2015, and accelerated after 2019, with the highest annual output observed in 2023. China published the highest number of papers, while the United States has the greatest citation impact. Institutional and author analysis identified active research groups mainly from China, the United States and Japan. Research is mainly published in oncology, immunology, thoracic medicine and respiratory journals. Keyword analysis shows a shift from melanoma, T cells and immune checkpoint inhibition towards clinically focused themes, including diagnosis, differential diagnosis, imaging features, bronchoalveolar lavage (BAL), biomarkers, risk factors and nomogram-based prediction. A supplementary PubMed analysis similarly highlights imaging features, BAL, bronchoscopy or pathological assessment, and risk prediction as the primary clinical diagnostic themes. Conclusion: Research into CIP has evolved from the recognition of immune-related pulmonary toxicity to diagnostic assessment, differential diagnosis and personalised risk assessment. Current diagnostic studies reflect the clinical challenge of distinguishing CIP from other pulmonary complications in patients receiving immunotherapy. Future research should focus on developing and validating standardised, multicenter diagnostic strategies linked to prognosis. Current research trends suggest that imaging findings, bronchoalveolar lavage fluid or histopathological assessment, biomarkers, baseline lung function, and predictive models may form key components of such strategies; however, their clinical utility requires validation through prospective studies.

Indexed as

biomarkersbronchoalveolar lavagediagnostic assessmentdifferential diagnosisimaging featuresimmune checkpoint inhibitor-related pneumonitisrisk prediction

Identifiers

PMID42516133
PMCPMC13402123

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.