Meta-analysis of risk factors for carotid plaque formation in type 2 diabetes mellitus
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 risk factors of carotid artery plaque formation in type 2 diabetes mellitus in China through meta-analysis. Methods: The literature on the risk factors of carotid plaque formation in type 2 diabetes mellitus in China was retrieved from China Journal Full-text Database (CNKI), Wanfang Digital Journal Full-text Database (Wanfang), VIP journal Resource integration Service platform (VIP) and PubMed database. Newcastle-Ottawa Scale(NOS) used the most comprehensive case-control trial data collection to evaluate the quality of the literature excerpts combined with inclusion and exclusion criteria.Literatures with scores ≥7 were included in the study, and finally meta-analysis was conducted by RevMan5.4. Results: 32 literatures met the inclusion criteria, and the cumulative number of cases and controls were 5710 and 5405, respectively. The results of meta-analysis showed that the risk factors of carotid plaque formation in type 2 diabetes mellitus in China were as follows: Triglyceride (TG) (OR= 2.74, 95%CI: 2.25-3.33), total cholesterol (TC) (OR=2.50, 95%CI: 2.22-2.83), glycosylated hemoglobin (HbA1c) (OR=1.41, 95%CI:1.33 ~ 1.50), history of hypertension (OR=2.03, 95%CI:1.69 ~ 2.44), low density lipoprotein (LDL-C) (OR=1.64, 95%CI:1.31 ~ 2.06), age (OR=1.12, 95%CI:1.09 ~ 1.14), diabetes duration (OR=1.04, 95%CI:1.03 ~ 1.06), smoking (OR=1.30, 95%CI:1.18 ~ 1.44), systolic blood pressure (SBP) (OR=1.04, 95%CI:1.02 ~ 1.05). Conclusion: TG, TC, HbA1c, hypertension history, LDL-C, age, diabetes course, smoking and SBP are independent risk factors for carotid plaque formation in type 2 diabetes mellitus. Smoking cessation, balanced diet, prevention and active treatment of hypertension have great significance for the formation of carotid plaque in type 2 diabetes mellitus.
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.010 |
| Science and technology studies | 0.000 | 0.001 |
| 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