Kidney Replacement Therapy in Cardiorenal Syndromes
Bibliographic record
Abstract
Cardiorenal syndromes (CRS) have increasingly been recognized as distinct disorders that affect the heart and kidneys simultaneously, either with acute or chronic onset. The different types share common pathophysiological characteristics. The concept "cardiorenal" shall emphasize the inter- or even multidisciplinary approach to respective patients. Anticongestive therapy becomes mandatory in many subjects that suffer from CRS. In recent years, the role of dialysis treatment in a broader sense has been investigated in CRS in more detail. We performed a search for studies related to the topic in the following databases: MEDLINE, PROSPERO, and Web of Science. The following keywords were used for reference identification: "CRS", "cardiorenal syndrome", "dialysis", "hemodialysis", "hemofiltration", "renal replacement therapy", "kidney replacement therapy", "peritoneal dialysis", and "aquapheresis". Finally, a total number of 22 studies, partly performed as retrospective cohort studies, and partly designed as prospective investigations, were included. The selected studies evaluated different modes of peritoneal dialysis (PD) or of non-PD procedures including intermittent hemodialysis, continuous procedures, and so-called aquapheresis. Inclusion and outcome parameters were almost not comparable between selected trials. Some studies revealed dialysis as effective, with reasonable tolerability. Particularly so-called "pure" ultrafiltration (e.g., aquapheresis) was associated with higher rates of adverse events. Future studies should be designed in a more homogenous manner, particularly concerning the inclusion criteria, the respective dialysis procedure applied, and endpoints in the short- and long-term.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".