Calcified carotid artery atheroma on standard dental radiographs: A public health opportunity for cardiovascular risk reduction
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: Calcified carotid artery atheroma (CCAA) can be identified incidentally on standard dental panoramic radiographs (DPRs). We sought to (1) determine the prevalence of CCAA on DPRs in a general dental population and (2) establish the proportion of patients in whom this would represent a new statin-indicated condition. Methods: We identified patients aged ≥30 with DPRs from 2019 to 2021 from the University of British Columbia Dental Clinic. Patient charts were reviewed for use of lipid-lowering therapies (LLT) and existing statin-indicated conditions. DPRs for each patient were evaluated for the presence and characteristics of CCAA. Results: Of 921 patients with a DPR and documented medical history, 548 (59.5 %) were diagnostic for evaluation of CCAA. Although 116/548 (21.2 %) of these patients had evidence of CCAA, only 25.9 % (30/116) were already on LLT; another 20.7 % (24/116) of patients with CCAA had a pre-existing statin-indicated condition but were not on LLT. Therefore, in 53.4 % (62/116) of patients with CCAA-positive DPRs, this constituted a new diagnosis of atherosclerosis not yet treated with LLT, representing 6.7 % (62/921) of the clinic population and 11.3 % of individuals with DPRs of diagnostic quality (62/548). Dyslipidemia, hypertension, coronary artery disease, diabetes, atrial fibrillation, stroke/transient ischemic attack, older age, and male sex were all found to be significant predictors of CCAA. Conclusion: CCAA is a common finding among patients with DPRs and in over half of cases, the presence of CCAA represents a new diagnosis of atherosclerosis. The high prevalence of new, untreated atherosclerosis in this population indicates an opportunity for risk factor modification and collaboration between dentists and physicians to optimize patient care.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.001 | 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