Aortic Arch Calcification and Vascular Disease: The Guangzhou Biobank Cohort Study
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 examine the association between aortic arch calcification (AAC) and vascular disease in an older Chinese sample. METHODS: For this study, 30,203 Chinese aged 50-85 years were recruited with baseline information on socioeconomic position, lifestyle and vascular risk factors. The presence and severity of AAC were diagnosed independently from chest X-ray by two radiologists. RESULTS: The age-adjusted prevalence of AAC was significantly higher in women than men [34.6% (95% CI 33.9-35.3) vs. 27.9% (95% CI 26.8-28.8), p < 0.001]. Severity of AAC was significantly associated with physician-diagnosed ischemic heart disease (adjusted OR = 1.55, 95% CI 1.35-1.79) and combined vascular disease (OR = 1.48, 95% CI 1.30-1.69) after adjusting for multiple potential confounders. Increasing severity of AAC was associated with increased risk for ischemic heart disease and vascular disease (p for trend = 0.02 to <0.001). No association between AAC and stroke was found. CONCLUSIONS: AAC was strongly and independently associated with vascular disease, suggesting that assessment of AAC from chest X-ray, which is noninvasive and relatively inexpensive, can provide useful information for risk stratification of vascular disease, and should be routinely incorporated in chest X-ray examination.
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