Contemporary data on low-density lipoprotein cholesterol target value attainment and distance to target in a cohort of 57,885 statin-treated patients by country and region across the world
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
Data presented here refer to 57,885 patients on lipid-lowering statin therapy from the Dyslipidaemia International Study (DYSIS) registry. Subjects were divided into 3 discrete subsets: those at very high-risk, high-risk, and non-high-risk for cardiovascular events, with assigned low density lipoprotein cholesterol (LDL-C) targets of 70 mg/dl, 100 mg/dl and 115 mg/dl, respectively. Overall, the highest proportion of patients meeting their LDL-C target was seen in the UAE and Kuwait (49.5%), while the lowest was seen in Germany (14.3%). The smallest median distance to target was documented in Canada (18.8 mg/dl), and the largest in the Baltics (42.1 mg/dl). Interpretation and discussion of this data can be found in the manuscript entitled "Low-density lipoprotein cholesterol in a global cohort of 57,885 statin-treated patients" (Gitt et al., 2016) [1].
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 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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