Bibliographic record
Abstract
Contrast medium-induced nephropathy (CIN) is the third leading cause of acute renal failure in hospitalized patients. The exact mechanism by which contrast media induce renal failure is complex and not completely understood. Alteration in renal hemodynamics and direct toxicity to tubular cells have been proposed. The most important risk factor for development of CIN is preexisting renal insufficiency. Identification of patients with risk factors for development of CIN is essential, as measures for prevention of CIN can be instituted. Administration of fluids such as sodium chloride has been the traditional cornerstone of preventive therapy. Alkalization of tubular fluid with intravenous sodium bicarbonate has dramatically reduced the frequency of CIN in patients with baseline impaired renal function. Based on available evidence, use of sodium bicarbonate constitutes the most reliable and effective option. Prevention of CIN has also been achieved with periprocedural use of N-acetylcysteine, but not as consistently as with sodium bicarbonate. Although many studies evaluated different N-acetylcysteine dosages and routes of administration, the optimal regimen has yet to be determined. Combinations of these preventive therapies are just emerging and require further research.
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.
How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".