PP.09.05
Bibliographic record
Abstract
Objective: Subclinical hypothyroidism is associated with an increased risk of cardiovascular morbidity and mortality among older adults. The cardio-ankle vascular index (CAVI) is a sensitive non-invasive marker of arterial stiffness and atherosclerosis. Objective of our prospective study was to assess the impact of thyroid hormone replacement therapy with low doses of L-thyroxine (6.25–25 μg/day) on CAVI index in patients with subclinical hypothyroidism. Design and method: The study involved 232 patients with subclinical hypothyroidism (73 males, 159 females, mean age 52.34 ± 3.67 years) and 207 healthy controls (79 males, 128 females, mean age 49.93 ± 4.32 years). CAVI was measured in all participants using the system VaSera® 1500, adopting the oscillometric method for blood pressure measurement. Blood pressure, ECG and phonocardiography were monitored during the measurement. All patients with subclinical hypothyroidism received thyroxine replacement therapy (mean doses 21.75 ± 3.43 μg) during 12 months in order to establish euthyroid state. After this period, all patients from studied group underwent CAVI measurement. Results: CAVI was significantly higher in patients with hypothyroidism (8.75, 95% CI 6.13–10.52) than in controls (7.03, 95% CI 5.73–9.03; p < 0.01). After 12 months of L-thyroxine substitution, patients with subclinical hypothyroidism had significantly lower CAVI than at baseline (8.75, 95% CI 6.13–10.52 vs 7.10, 95% CI 6.05–9.37; p < 0.01). Conclusions: Hormone replacement therapy with low dosed L-thyroxine may improve vascular function in patients with subclinical hypothyroidism. Patients with cardiovascular risk factors as well as elderly should be closely monitored for the symptoms of iatrogenic hyperthyroidism during the dose titration process.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.946 | 0.958 |
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".