Actualización en el uso y el manejo del litio en neuropsiquiatría
Bibliographic record
Abstract
Lithium is an alkaline metal, used for more than 60 years in psychiatry, and currently considered the gold standard in the treatment of bipolar disorder (BD). According to recent evidence, this active ingredient is useful for the treatment of a wide spectrum of clinical varieties of affective disorders. In addition, it is estimated that lithium reduces the risk of suicide and suicidal behavior in people with mood disorders. On the other hand, some novel studies have shown that the cation has a potential efficacy for the treatment of other neuropsychiatric processes, such as the likelihood of reducing the risk of dementia and slowing down the development of neurodegenerative diseases. Despite the enormous evidence in favor of the use of lithium, it is known that, in Argentina, medications containing it are prescribed less than expected. In view of all this, the Asociación Argentina de Psiquiatría Biológica (Argentine Association of Biological Psychiatry) (AAPB or AABP) convened a group of experts to review the available scientific literature and prepare an updated document on the management and use of lithium in neuropsychiatry. In addition to the use of the ion in daily clinical practice, the scope of this review includes other contents that have been considered of interest for the psychiatrist, such as certain pharmacological and pharmacogenetic aspects, possible clinical predictors of response to treatment with lithium, management of ion during perinatal period, management of lithium in child and adolescent population, management of adverse effects linked to cation and interactions with drugs and other substances.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.007 |
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; both teacher heads agree on what is shown here.
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".