[Immune functional changes in patients of acute Henoch-Schonlein purpura and regulatory effect of integrated Traditional Chinese and Western medicine on it].
Bibliographic record
Abstract
OBJECTIVE: To observe the changes of immune function in children with acute Henoch-Schonlein purpura (AHSP) and the effects of integrated traditional Chinese and western medicine (TCM-WM) on it. METHODS: Immunological criteria in TCM-WM group (n = 35) treated by Yinfu Decoction (YFD) combined with transfer factor and 35 patients in the control group (n = 35) treated by conventional treatment were observed and compared before and after treatment. Also the criteria were compared with those of 40 healthy subjects. RESULTS: Before treatment, the levels of IgA, IgM, CD4, CD4/CD8 ratio, rosette forming rate of RBC-C3b receptor in patients were higher than those in the healthy subjects, but the levels of CD8 was obviously lower, the difference was significant (P < 0.01). The above-mentioned criteria were all improved in the two treated groups after treatment, and the improvement was more significant in the TCM-WM group than that in the control group (P < 0.05). Besides, the cure-markedly effective rate in the former was better than that in the latter significantly (P < 0.01). CONCLUSION: There exist multiple immune functional disturbance in AHSP patients. Combined treatment of YFD and transfer factor has obvious immune regulatory effect and is an effective therapy with few side-effects and low recurrence rate.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".