Bibliographic record
Abstract
Objective To analyze the current status of subsyndromal delirium in recent years, to provide information for the study of subsyndromal delirium in China. Methods Bibliometric methods were used to analyze the subsyndromal delirium related literature published in Pubmed, Embase, Web of Science, EBSCO, Cochrane Library, Wanfang and CNKI. Results A total of 68 articles were included in 48 journals, Literature was mainly published in Canada and the United States, including observational research, systematic reviews, and experimental research. The main subjects are elderly patients from ICU, Nursing Home and Orthopedics. The research content mainly focuses on the incidence, influencing factors and prognosis of subsyndromal delirium. Conclusion In recent years, the related literature of subsyndromal delirium abroad has increased step by step, but the number of studies is generally low, and the regional development is unbalanced. Chinese researchers should pay more attention to the topic of subsyndromal delirium. The early identification and nursing intervention programs for Chinese patients are the key research directions in the future. Key words: Subsyndromal delirium; Delirium; Bibliometric analysis
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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 | 0.009 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.203 | 0.191 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".