Estimation of Lithium Dose Requirement by Lithium Clearance, Serum Lithium and Saliva Lithium following a Loading Dose of Lithium Carbonate
Bibliographic record
Abstract
Renal lithium clearance and the serum lithium levels following a single oral loading dose of lithium were used as measures to predict lithium dose requirement during long-term maintenance at 3 different psychiatric centers in North America. Saliva lithium values were also investigated at one of the centers. The correlation between lithium clearance and the 17-hour serum lithium level, and subsequent dosage was high; the mean correlation co-efficient from the 3 centers being 0.84 for renal lithium clearance and 0.75 for both the 17-hour and 10-hour serum lithium levels. These tests can therefore be recommended as a guide to estimate lithium dose requirement in patients starting lithium maintenance treatment although absolute reliance should not be placed on the prediction formulae obtained. The correlation between saliva lithium and eventual dosage was poor and of little predictive value.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".