Identification of cystatin C as a new marker of glomerular filtration rate, and of shrunken pore syndrome – a new kidney disorder defining selective glomerular hypofiltration syndromes – calls for expansion of the international KDIGO guidelines
Bibliographic record
Abstract
Cystatin C was identified as a marker of glomerular filtration rate (GFR) in 1979, and the parallel analysis of cystatin C and creatinine led to the identification of shrunken pore syndrome (SPS) - a new kidney disorder - in 2015. Since then, it has been shown that cystatin C in many aspects is superior to creatinine as a marker of GFR and cardiovascular risk. SPS, an entity within the selective glomerular hypofiltration syndromes (SGHS), has been demonstrated to be associated with a strong increase in morbidity and mortality in several populations. Despite the seriousness of SPS and SGHS, and the availability of potential treatments, many patients with these conditions remain undiagnosed, due to the limitations of the international Kidney Disease Improving Global Outcomes Organization (KDIGO) guidelines. Given the significant clinical advantages of cystatin C in diagnosing and treating kidney disorders, there is a need to expand the KDIGO guidelines to include cystatin C measurements alongside creatinine at least in the initial patient evaluation but also in follow-up evaluations. This would improve the early detection and management of patients with kidney diseases, ultimately enhancing patient outcomes. The present discourse summarizes the development of this understanding from the original observations in 1979 and 2015 to the latest findings.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".