Serum Neutrophil Gelatinase-Associated Lipocalin Levels In Early Detection Of Contrast-Induced Nephropathy
Bibliographic record
Abstract
PURPOSE: The purpose of this study was to investigate the role of serum neutrophil gelatinase-associated lipocalin (NGAL) levels in the early detection of contrast-induced nephropathy (CIN). METHODS: This prospective study enrolled 74 patients undergoing abdominal tomography with contrast (1 November 2014 - 28 February 2015). Demographic properties (age and sex), symptoms and CT examination results were analysed. Sodium, potassium, urea, creatinine and NGAL levels were measured at 0th, 6th, and 72nd hours. P value < 0.05 was considered statistically significant. RESULTS: CIN developed in 16.2% of the study patients. The mean age was significantly higher in the patients who developed CIN (p0.05). Urea levels did not differ significantly between the groups at 0th and 6th hours (p>0.05) but was significantly higher in the patients with CIN at 72nd hour (p0.05). Creatinine level was not significantly different between the groups (p>0.05) but increased significantly over time (p>0.05). There were no significant differences between the groups with respect to NGAL levels at 0th and 72nd hours (p>0.05) whereas the group with CIN had a significantly higher NGAL level at 6th hour (p.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 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".