Pharmacokinetics of Digoxin in Low-Birth-WeightInfants
Bibliographic record
Abstract
Digoxin pharmacokinetics were studied in 13 low-birth-weight infants requiring digoxin therapy. Their weights ranged from 820 to 2,710 g (mean = 1,440 g) and gestational ages ranged from 26 to 38 weeks (mean = 30.9 weeks). The distribution and elimination of digoxin can be described by an open two-compartment model. Poor correlation between volume of distribution Vd beta 95.7 +/- 1.0 liters/kg) and gestational age (GA) or weight (Wt) was observed. Digoxin half-life (47 +/- 21 h) was inversely related to GA and Wt (r = 0.69 and 0.66, respectively), but total body digoxin clearance (29.8 +/- 14.7 ml/min/1.73 m2) was found to be highly dependent on these two variables (r = 0.87 and 0.88, respectively). According to the results of this study and our previous investigation, digitalizing and maintenance dosages of digoxin were recommended.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 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".