A bibliometric and visual analysis of the use of ustekinumab in Crohn’s disease using CiteSpace
Bibliographic record
Abstract
Background: The novel biologic agent ustekinumab (UST), a monoclonal antibody against the p40 subunit of interleukin-12 and interleukin-23, has been applied in the treatment of Crohn’s disease (CD). With the development of relevant research, the clinical treatment and favorable prognosis of UST in CD have garnered considerable attention. However, there is a lack of reports that present the current status of UST-related studies in a comprehensive and objective manner. Consequently, this study aims to visually analyze the current status and clinical trends of UST-related research, identify leading researchers, and recognize deficiencies using bibliometrics and knowledge mapping, which might assist in understanding future research priorities in that specific field. Methods: Published articles containing the use of UST in CD were retrieved from the Web of Science core collection database between 2008 and 2022. Then, the bibliometric analysis was performed, and a knowledge map was generated and visualized using the CiteSpace software. Results: A total of 479 articles published between 2008 and 2022 were included in the bibliometric analysis. These publications were authored by 185 scholars from 51 countries or regions, among which the United States (38.3%), Canada (16.9%) and England (10.0%) were predominant in publishing. The keyword analysis indicated that UST has long been a popular biologic agent, and its clinical efficacy, safety, and indication for vulnerable populations in CD are popular research topics. The phrase “fecal calprotectin,” a biomarker reflecting the degree of disease activity and monitoring the therapeutic response, began to gain traction in 2020 and has continued to this day. Looking for UST-related biomarkers was gaining clinical attention. Conclusion: The number of clinical studies involving the outcome of UST treatment in CD patients has increased, with the current research focusing on efficacy, safety, indications for vulnerable populations, therapeutic drug monitoring, and biomarkers. As an alternative drug after the failure of traditional immunosuppressive therapies or TNF-α antagonist therapy, UST is an effective and safe therapy in real-world refractory CD patients. UST will remain an active candidate for research in the treatment of CD.
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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 arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Bibliometrics Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | Bibliometrics Domain: not available · Genre: Review About the Canadian research system: no · About a Canadian topic: no | Observational | high |
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.024 | 0.029 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".