Nuevas Insulinas en el tratamiento de la Diabetes Tipo 1
Bibliographic record
Abstract
Insulin therapy is complex in pediatric patients because they present greater variations in insulin requirements. Traditional insulins have limitations related to time of onset of action and duration of effect, which has led to the development of new insulins, seeking to reduce chronic complications, severe or nocturnal hypoglycemia, and to improve adherence to therapy. This review updates the information on new insulins, their mechanisms of action and the benefits they provide in the treatment of diabetes. Insulin analogues attempt to mimic the physiological secretion of the hormone, including time of action and duration of effect. The most used prandial analogs are the so-called rapid-acting insulins, including Faster Aspartic and the new basal insulins, glargine U300 and degludec, which have a prolonged action of more than 24 hours and therefore require a daily dose. New technologies under development include biosimilar insulins such as the glargine biosimilar, already available in the clinic. New formulations are being developed for the future, as well as novel ways of dispersing them, mimicking the action of pancreatic cells, which will allow a more physiological and personalized management of the disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".