Systematic review and meta-analysis assessing the status of carotid intima–media thickness and lipid profiles in type 2 diabetes mellitus
Bibliographic record
Abstract
Objectives Carotid intima–media thickness (CIMT) is a measurement for subclinical atherosclerosis and has been associated with overall cardiovascular diseases, especially in type 2 diabetes mellitus (T2DM). We aimed to assess the status of carotid health and lipid profile in T2DM. Design This systematic review and meta-analysis synthesised data published from clinical studies. Data sources Google Scholar, PubMed and Scopus were searched from inception to 18 January 2024. Eligibility criteria for selecting studies Studies conducted in patients with T2DM and those without T2DM were included. Studies conducted in T2DM adults evaluating carotid status and lipid profile were considered. Data extraction and synthesis Two authors independently used standardised methods to comprehensively search, screen and extract data from all relevant studies. The risk of bias was assessed using the Newcastle-Ottawa checklist. Meta-analysis was conducted using Review Manager and metaHun through random effects models. The random effect model was used due to high heterogeneity. Results Evidence was analysed from 57 studies with a sample size of 29 502 (8254 T2DM and 21 248 people without T2DM). There was a significantly higher CIMT, with a standardised mean difference (SMD) of 1.01 (95% CI 0.75, 1.26, p<0.00001). Additionally, there was an elevated triglyceride (TG) (SMD=1.12, 95% CI 0.82, 1.41, p<0.00001), total cholesterol (TC), (SMD=0.24, 95% CI 0.02, 0.46, p=0.03) and low-density lipoprotein-cholesterol (LDL-C), (SMD=0.35, 95% CI 0.11, 0.59, p=0.004) in patients with T2DM compared with those without T2DM. Furthermore, a significant decrease in high-density lipoprotein cholesterol (HDL-C) was observed in the T2DM compared with people without T2DM, SMD= − 0.79, 95% CI − 0.96, –0.62, p<0.00001). Age, body mass index and hypertension were associated with increased CIMT and TG and decreased HDL-C in T2DM. Additionally, age, gender and hypertension were associated with an increased LDL-C in T2DM. Conclusion Our findings suggest that an increased CIMT is accompanied by increased TG, TC, LDL-C and HDL-C reduction in patients with T2DM. PROSPERO registration number CRD42023451731.
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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 | 0.021 | 0.065 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.027 | 0.036 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".