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Record W4408034673 · doi:10.21037/jtd-24-1451

Emerging trends and hotspots in animal experimental research on lung transplantation from 2004 to 2023: a bibliometric analysis

2025· article· en· W4408034673 on OpenAlexaboutno aff
Chen Xie, Xinchen Tao, Yuanyuan Yao, Xinqiang Wang, Min Yan

Bibliographic record

VenueJournal of Thoracic Disease · 2025
Typearticle
Languageen
FieldMedicine
TopicTransplantation: Methods and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLung transplantationTransplantationData scienceInternal medicineComputer science

Abstract

fetched live from OpenAlex

Background: Lung transplantation is the only viable option for end-stage respiratory diseases, with the global prevalence of this procedure on the rise in recent years. However, it is still plagued by various complications, for which no satisfactory therapy has yet been identified. Understanding the mechanisms underlying these post-transplant complications may be beneficial to enhance patient outcomes. This study utilized bibliometric analysis to assess present publication trends and focal points in the field of animal experimental studies on lung transplantation, aiming to provide insights into potential areas for future research. Methods: Utilizing CiteSpace software, the Online Analysis Platform of Literature Metrology, R package bibliometrix and VOSviewer, an analysis of current publication trends and hotspots in the area of animal experimental research for lung transplantation was carried out for the period spanning from 2004 to 2023. The English articles were searched in the Science Citation Index-Expanded (SCI-E) of Web of Science Core Collection (WoSCC). Results: A total of 995 articles on animal experimental research on lung transplantation over the past two decades were retrieved. Rats, mice and swine were the most commonly used animal models, with orthotopic lung transplantation, ischemia-reperfusion (IR), and ex vivo lung perfusion (EVLP) being the most frequently employed model of lung transplantation in animals. The leading contributed countries in this area were USA, Canada, Japan and China. Washington University and Shaf Keshavjee were acknowledged as the most influential institute and scholar, respectively. The top 10 main clusters identified through co-occurrence cluster analysis included, ex-vivo lung perfusion, EVLP, obliterative bronchiolitis, necroptosis, bronchiolitis obliterans, non-heart-beating donor, donation after circulatory death, xenotransplantation, hydrogen sulfide and alveolar macrophage. Current research focused on lung IR injury, lung transplant, hypoxia, and differentiation, as revealed by keyword burst detection. Conclusions: Over the past 20 years, global publications on animal experimental research for lung transplantation have grown rapidly. The current research hotspots focus on lung IR injury, hypoxia and differentiation during lung transplantation. Exploring the potential synergistic effects of EVLP and necroptosis inhibition in more depth could offer valuable information for improving lung transplant outcomes. Our analysis presents a detailed overview of the current state of animal experimental research in lung transplantation, evaluating current publication trends and focal points and providing significant insights for future research efforts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmaBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptBibliometrics
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
models agreeAgreement compares identical category sets and study designs across arms.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesBibliometrics
Consensus categoriesBibliometrics
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.957

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0780.063
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.506
Teacher spread0.448 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Labeled directly by 2 models reading the full record.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Thoracic DiseaseSame topicTransplantation: Methods and OutcomesCategoryBibliometricsFrench-language works237,207