Evidence map›Paper›PMID 42376699›Full record

ArticleHuman vaccines & immunotherapeutics2026

Mapping the global landscape of research on immune checkpoint inhibitor-associated cardiotoxicity: A quantitative and visualized bibliometric study (2016-2025).

Tiecheng Liu, Xiangnv Meng, Yongsheng Li, Fu Mi, Xi Yang, Sha Sha

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 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

6 authors.

Tiecheng LiuDepartment of Cardiology, Cangzhou People's Hospital, Cangzhou, Hebei, China.ORCID 0009-0008-4405-8315
Xiangnv MengSecond Department of Medical Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Yongsheng LiSecond Department of Medical Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Fu MiSecond Department of Medical Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Xi YangSecond Department of Medical Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.
Sha ShaSecond Department of Medical Oncology, Cangzhou Central Hospital, Cangzhou, Hebei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) have transformed oncologic practice, but their expanding use has heightened concern about potentially fatal cardiovascular toxicity. This bibliometric study mapped the global research landscape and temporal evolution of ICI-associated cardiotoxicity from 2016 to 2025. Records were retrieved from the Web of Science Core Collection on January 1, 2026. After excluding letters, conference abstracts, editorials, and other non-research items, 1,127 original articles and reviews were analyzed. A thesaurus file standardized synonyms, abbreviations, spelling variants, and singular-plural forms before keyword co-occurrence analysis. VOSviewer and CiteSpace were used to evaluate publication trends, collaboration networks, citation structures, keyword clusters, temporal patterns, and burst terms. The corpus involved 67 countries, 2,430 institutions, and 8,842 authors. Annual output increased from 9 publications in 2016 to 236 in 2025, representing a 26.2-fold rise and a compound annual growth rate of 43.8%; cumulative publication output was well fitted by a quadratic polynomial model (R

Indexed as

BibliometricsCardiotoxicityImmune Checkpoint InhibitorsHumansNeoplasmsImmune Checkpoint Inhibitorsbibliometric analysiscardiotoxicityImmune checkpoint inhibitorsmyocarditis

Identifiers

PMID42376699
PMCPMC13327357

What OpenQuestion holds

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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.