Impact of lifestyle education for type 2 diabetes mellitus
Bibliographic record
Abstract
OBJECTIVE: To explore the influence of the education of lifestyle in the type 2 diabetes mellitus (T2DM) patients with microalbuminuria as a part of the enhanced multifactorial intervention. METHODS: This study will be conducted from May 2021 to August 2022 at Ningbo No.6 hospital. The experiment was granted through the Research Ethics Committee of Ningbo No.6 hospital (539D035). The patients will be included if they are between 18 and 65 years old and are diagnosed with T2DM with microalbuminuria and the patients who have signed the written informed consent. While the patients will be excluded if they have serious physical comorbidities and patients who are unwilling to offer the informed consent to take part in this experiment. We measure the clinical examination (fasting blood-glucose, glycosylated hemoglobin and routine urine test) timely. Detail of daily dietary intake and lifestyle factors are also recorded. RESULTS: Table 1 reflects the comparison of the biochemical and clinical variables and the lifestyle factors. CONCLUSION: Lifestyle education is effective in facilitating the control of T2DM and reducing microalbuminuria. TRIAL REGISTRATION NUMBER: researchregistry6348.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".