Knowledge mapping and research trends on rehabilitation of patients with mechanical ventilation in the ICU from 2005 to 2024: a bibliometric analysis via CiteSpace and Bibliometrix
Bibliographic record
Abstract
Objective: Early rehabilitation, which refers to multidisciplinary, structured interventions initiated during the acute phase of illness, aimed at promoting physical recovery, reducing disability, and preventing complications, is essential for critically ill patients with mechanical ventilation. To review literature related to early rehabilitation in patients with mechanical ventilation in the intensive care unit, the paper aims to identify research topics and frontiers, report on current research trends, and offer valuable insights and perspectives for future development in the field. Methods: This study retrieved related publications from the Web of Science Core Collection database on March 12, 2025. After collecting the data, CiteSpace V.6.1. R6 was used to conduct a visual analysis of countries, institutions, authors, cited journals, cited references, and keywords. Bibliometrix 4.1.3 was used to generate the main information, country collaboration map, and three-field plot. The data was visualized through knowledge maps and collaborative networks. Results: We obtained a total of 375 articles on early rehabilitation in patients with mechanical ventilation. The number of annual publications has generally shown a steady growth trend in the past 20 years, with an annual growth rate of 21.59%. The United States, Brazil, Australia, and England are major contributing countries. North American and European countries have established the most intensive cooperation networks. Most of the active scholars, institutions, and journals in this field come from the United States, Canada, Australia, and England. Our research shows that ICU-acquired weakness, pulmonary dysfunction, and disorder of consciousness are important issues as well as challenges that need to be addressed urgently. Conclusion: This study analyzed the current status of early rehabilitation in patients with mechanical ventilation in the intensive care unit via CiteSpace and Bibliometrix, then identified the research hotspots and frontiers on it. While current evidence remains limited, methodologically rigorous multicenter randomized controlled trials with large cohorts are warranted to establish robust evidence regarding rehabilitation efficacy in mechanically ventilated patients. Emerging innovations in rehabilitation protocols are anticipated to progressively optimize clinical pathways as research methodologies advance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.182 | 0.216 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".