Effect of “Tongdu Tiaoshen” needling on cognitive dysfunction in patients with sepsis associated encephalopathy and its mechanism
Bibliographic record
Abstract
ObjectiveTo observe the efficacy of"Tongdu Tiaoshen"(dredging Governor Vessel and regulating mind,needling on the cognitive function of patients with sepsis associated encephalopathy(SAE).MethodsA total of 64 patients with SAE were enrolled in the present study,and randomly and equally divided into a control group and a treatment group. Patients in the control group received conventional medicines and conventional needling treatment. The patients of the treatment group received conventional medicines and"Tongdu Tiaoshen"needling treatment. The treatment was conducted once daily for 10 days. The Montreal Cognitive Assessment(MoCA)scale was used to assess the therapeutic effect after the treatment. Serum interleukin-6(IL-6)was detected by radioimmunoassay,serum C-reactive protein(CRP)was detected by immuno-scattering method,and arterial blood lactic acid(Lac)content was detected by blood gas analyzer.ResultsThe effective rate in the treatment group was obviously higher than that in the control group(P<0. 01). After the treatment,the MoCA scores were considerably increased in both groups compared with their own pre-treatment(P<0. 01),and the MoCA scores in the treatment group were obviously higher than those of the control group in the visual space and executive function,attention and computational power,language,abstraction and delayed recall dimensions(P<0. 01). The contents of IL-6,CRP and Lac in both groups were significantly decreased after the treatment relevant to those of their own pre-treatment(P<0. 01),and were obviously lower in the treatment group than those in the control group(P<0. 01).Conclusion"Tongdu Tiaoshen"needling can significantly improve the cognitive function of SAE patients,which may be associated with its effect in reducing inflammatory reaction of sepsis.
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
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.001 | 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 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".