A stable definition of chronic kidney disease improves knowledge and patient care
Bibliographic record
Abstract
As co-chairs of the 2002 and 2012 guidelines on the definition and staging of chronic kidney disease (CKD) we wanted to clarify several areas of disagreement with the authors of the recent BMJ article.1 Firstly, the 2012 definition is the same as the 2002 one.2 Secondly, new data assembled through a global consortium including 50 cohorts and more than two million people overwhelmingly support an increased risk associated with the definition thresholds (estimated glomerular filtration rate 30 mg/g (>3 mg/mmol)) regardless of age, hypertension, and diabetes.3 Thirdly, CKD is associated not just with progression to end stage renal disease but with risk of concurrent complications (anaemia, hyperparathyroidism, hyperphosphataemia) and future events (acute kidney injury, cardiovascular disease, …
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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 | 0.018 | 0.110 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.007 | 0.018 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.052 | 0.072 |
| Insufficient payload (model declined to judge) | 0.012 | 0.010 |
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".