Crohn’s disease from past to present: Research trends and global outcomes with scientometric analysis during 1980 to 2022
Bibliographic record
Abstract
Currently, there is no comprehensive bibliometric study in the literature on Crohn's disease (CD). The aim of this study was to analyze articles published on CD using bibliometric and statistical methods. The aim was to identify current research trends, show global productivity, and determine important players such as countries, journals, institutions, and authors. A total of 16,216 articles published on CD between 1980 and 2022 were analyzed using various statistical and bibliometric methods. Bibliometric network visualization maps were used to perform trend topic analysis, citation analysis, and international collaboration analysis. Spearman's correlation coefficient was used for correlation analysis. The top 3 contributing countries to the literature were the United States of America (USA) (n = 4344, 26.7%), the United Kingdom (UK) (n = 2036, 12.5%) and Germany (n = 1334, 8.2%). The most active institutions were Udice French Research Universities (n = 696), Assistance Publique Hopitaux Paris (n = 570), and Institut National de la Sante et de la Recherche Medicale Inserm (n = 479). The most productive journals were Inflammatory Bowel Diseases (n = 1100), Journal of Crohn's & Colitis (n = 579), and Gut (n = 510). The most prolific author was Colombel JF. (n = 290). The most frequently researched topics from past to present included infliximab, ulcerative colitis, surgery, pediatrics, adalimumab, magnetic resonance imaging, inflammation, perianal CD/perianal fistula, azathioprine, magnetic resonance enterography, small bowel, stricture/strictureplasty, recurrence, therapy/treatment, ustekinumab, mucosal healing, biomarkers, fistula, quality of life, ultrasonography, epidemiology, capsule endoscopy, laparoscopic surgery/laparoscopy, endoscopy, disease activity, postoperative recurrence, and the Nucleotide Binding Oligomerization Domain Containing 2 gene. We have seen an exponential increase in worldwide publications on CD. In recent years, the major research topics related to CD have been ustekinumab, vedolizumab, fecal calprotectin, therapeutic drug monitoring, biologics, biomarkers, exclusive enteral nutrition, microbiome/microbiota, magnetic resonance enterography, anti-TNF, postoperative complications, and mucosal healing. We determined that countries with large economies, particularly the United States, United Kingdom, Germany, France, Canada, Italy, Japan and China, have taken the lead in research contributions to the development of CD literature.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.009 |
| 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, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".