The Complexity of Peripheral Arterial Disease and Coronary Artery Disease in Diabetic Patients: An Observational Study
Bibliographic record
Abstract
Background: Atherosclerosis is a systemic disease that causes luminal narrowing. Patients with peripheral arterial disease (PAD) also exhibit an increased risk of death from cardiovascular complications. This risk is the same for symptomatic or asymptomatic patients. Over a 5-year period, patients with PAD have a 20% chance of suffering from a stroke or myocardial infarction. Additionally, their mortality rate is 30%. This study aimed to assess the relationship between coronary artery disease (CAD) complexity using SYNTAX score and PAD complexity using Trans-Atlantic Inter-Society Consensus II (TASC II) score. Methods: The study was designed as single-center cross-sectional observational and included 50 diabetic patients referred for elective coronary angiography and peripheral angiography was done. Results: Most of the patients were males (80%) and smokers (80%) with mean age of 62 years. The mean SYNTAX score was 19.88. There was a significant negative correlation between SYNTAX score and ankle brachial index (ABI) (r = -0.48, P = 0.001) and a significant positive correlation with glycated hemoglobin (HbA1c) level (R 2 = 26, P = 0.004). Complex PAD was found in nearly half of the patients with 48% having TASC II C or D classes. Those with TASC II classes C and D had higher SYNTAX scores (P = 0.046). Conclusions: Diabetic patients with more complex CAD had more complex PAD. In diabetic patients with CAD, those with worse glycemic control had higher SYNTAX scores and the higher the SYNTAX score, the lower the ABI. Cardiol Res. 2023;14(1):54-62 doi: https://doi.org/10.14740/cr1463
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".