Emerging Therapies for Extracorporeal Support
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Dialytic therapies have undergone major technological developments in the last decade and emerging techniques are promoted not only for acute kidney injury, but also for sepsis, acute decompensated heart failure, and acute and acute-on-chronic liver failure. New devices specifically target the pathophysiological mechanisms involved in these conditions. In septic shock and sepsis, high-volume hemofiltration, coupled plasma filtration adsorption, cascade hemofiltration and high permeability hemofiltration enhance removal of pro-inflammatory mediators, while in liver failure, Molecular Adsorbents recycling System (MARS) and Prometheus favor the elimination of albumin-bound toxins such as bilirubin. In acute decompensated heart failure, simplified ultrafiltration machines are used to reach negative fluid balance in a minimalist setting. In the context of limited resources and growing expansion in the availability of technologies, a critical assessment is required and the use of these devices needs to be put in perspective. This article reviews the mechanisms, advantages and limitations of these techniques along with the current evidence available regarding their influence on major clinical outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it