The influences of paroxetine modified Xiaoyao pill therapy on subjective well-beingfor type 2 diabetes patients with anxiety
Bibliographic record
Abstract
Objective To explore the influence of integrated Chinese and western medicine therapy on anxiety,sugar metabolism and subjective well-being for type 2 diabetes Patients associated with anxiety.Methods Use glycated hemoglobin (HbAlc),trait anxiety inventory(TAI),and Memorial University of Newfoundland Scale of Happiness (MUNSH) to evaluate the condition of 60 patients with type 2 diabetes associated with anxiety.The patients participated in the study were randomly divided into Western medicine therapy group(control group)and integrated traditional Chinese and Western medicine therapy group (experimental group),with 30 cases in each group.The control group was treated with paroxetine while the experimental group was treated with paroxetine plus Jiawei-Xiaoyaowan.6 weeks after treatment,we tested the HbAlc level.TAI score and MUNSH score of those patients.Results After 6 weeks,the TAI score of patients in both experimental group and control group have obviously decreased (before treatment:54.07±6.41 and 56.33 ±6.01,respectively; after treatment:38.89±6.70 and 45.29±6.55,respectively) and the difference was statistically significant (P<0.05).And the TAI score of the two groups after treatment was significantly different (P<0.05).For both experimental and control groups,the HbA1e level were not obviously changed before and after the study with P>0.05 (before treatment:8.14±2.69 and 8.07±2.11,respectively; after treatment:8.21±2.07 and 7.92± 1.90,respectively).Comparison between groups also showed no significant difference.MUNSH score have obviously increased in experimental group (before treatment:40.49±5.22; after treatment:44.53 ± 6.28,P<0.05).The result of comparison between the two groups after treatment shows that MUNSH score of patients in the experimental group were obviously improved compared with patients in the control group (57.56 ±6.39),and the difference was statistically significant (P<0.05).Conclusion The integrated traditional Chinese and western medicine therapy can obviously release anxiety and enhance subjective well-being in patients with cerebral infarction associated with anxiety. Key words: Type 2 diabetes; Anxiety; Glycated hemoglobin; Subjective well-being
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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".