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
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].
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".