Prevalence and Pathogenetic Mechanisms of Chronic Kidney Disease in Autoimmune-Mediated Systemic Diseases
Bibliographic record
Abstract
Chronic kidney disease (CKD) affects an estimated 15% of all adults in Central Europe. Those affected are at high risk of cardiovascular disease and death. Inflammatory rheumatic systemic diseases manifest themselves extra-articularly with varying frequency. This article summarized the prevalence and pathogenetic mechanisms of CKD in rheumatic systemic diseases. The following databases were searched for references: PubMed, Web of Science, Cochrane Library, Scopus. The search period spanned from 1975 to 2025. Kidney involvement is almost always present in systemic lupus erythematosus and certain types of systemic vasculitis. In the context of rheumatic diseases, there are additional mechanisms that can contribute to enhancing the functional and structural integrity of the kidneys. These mechanisms include inflammation and an increase in cardiovascular risk. The prevalence of CKD is disproportionately high in certain entities of the rheumatic form. Given the disproportionately high prevalence of CKD in relevant entities of the inflammatory rheumatic group and the associated increase in the risk of cardiovascular disease and death, CKD screening should be an integral part of the care of affected patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".