Assessment of management of cardiovascular risk factors in patients with thoracic aortic disease
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
BACKGROUND: Cardiovascular risk profiles and adiposity assessment data in patients with thoracic aortic disease (TAD) are sparse. HYPOTHESIS: Despite the fact that TAD patients are considered as a high-risk population, they will not be managed as aggressively as they should in terms of their cardiovascular risk profile. MATERIALS AND METHODS: Anthropometric, blood pressure (BP) data, and blood samples were collected prospectively from patients followed at our TAD dedicated clinic. The same measures have been taken in a control group initiating a cardiac rehabilitation program. RESULTS: In all, 286 patients with TAD and 116 controls were recruited. BMI was higher among the controls than the patients with TAD (30.0±6.1 vs. 27.2±4.9 kg/m(2), respectively; P<0.001). We found no statistical difference between the groups for waist circumference (TAD: 93.1±15.2 and 103.6±14.5 cm, control: 95.0±13.4 and 106.3±14.8 cm, respectively, for women and men; P=0.06). In terms of lipid profile, low-density lipoprotein cholesterol was 2.44±0.88 in patients with TAD and 2.09±0.82 mmol/l in the controls (P<0.001). A higher percentage of patients with TAD had low-density lipoprotein cholesterol values that were beyond the target (63.3% in TAD vs. 46.1% in control; P<0.01). The values of apolipoprotein-B were similar between groups (P=0.41). BP was higher in patients with TAD (135±19/76±11 mmHg) versus the controls (129±17/71±11 mmHg; P<0.01). On the basis of ambulatory BP monitoring, 49.3% of patients with TAD were not well controlled for daytime and/or night-time BP. CONCLUSION: Cardiovascular risk factors, particularly BP, are not well controlled in patients with TAD followed in a dedicated clinic when compared with another high-risk control group in a cardiac rehabilitation program.
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 | 0.000 |
| 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 | 0.000 |
| 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