Research on Mechanism and Effect of Vitamin C on Mild Cognitive Impairment in Type 2 Diabetes Mellitus Patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective To investigate the effects and possible mechanism of Vitamin C on mild cognitive impairment(MCI) in type 2 diabetes mellitus(T2DM) patients.Methods Senile T2DM patients with MCI were randomly divided into control group(30 cases) and experimental group (30 cases).Patients from control group were given routine treatment,while patients from experimental group took additional Vitamin C 0.2g,3/d despite the routine treatment,with the course of treatment lasting one year.MMSE Scale and MoCA Scale were used and 8-iso-PGF2α was tested before and after the treatment respectively.Results Before treatment,there were no significant differences between control group and treatment group in MMSE scale,MoCA scale test and serum 8-iso-PGF2α 〔with MMSE (26.7±1.0) score,MoCA (24.9±1.6) score and 8-iso-PGF2α(49.5±19.9 )ng/L in control group,and MMSE (26.0±0.6) score,MoCA (25.2±1.1)score and 8-iso-PGF2α(50.8±21.9) ng/L in treatment group,t=-0.511,-0.625 and 0.455,all P0.05〕;after treatment,significant differences was found between the two groups 〔with MMSE (26.3±1.2) score,MoCA (26.2±1.4)score and 8-iso-PGF2α(46.7±21.2) ng/L in control group,and MMSE (28.0±1.1)score,MoCA(28.3±1.2) score and 8-iso-PGF2α(31.5±12.4) ng/L in treatment group,t= 2.095,2.014 and 3.184,(all P0.01)〕.Conclusion Vitamin C could ameliorate the MCI of Senile T2DM patients,probably by alleviating oxidative-stress.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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) | 0.000 | 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 it