The Role of Recombinant Human Growth Hormone Biosimilars in the Management of Growth Disorders
Bibliographic record
Abstract
Since ancient times plant and animal tissues have been used as medicines. In the 20th century growth hormone as a purified extraction from human pituitaries was still used to treat growth disorders. Since the genetic engineering of host cells became possible, a new generation of medicines obtained using recombinant DNA (rDNA) technology has emerged. These medicines have been named ‘biopharmaceuticals’. The first biopharmaceutical growth hormones were patented in the 1980s, so already over two decades of clinical experience support the development of a new, off-patent growth hormone preparation obtained by rDNA technology. The European Medicines Agency (EMEA) has put in place a centralised procedure for the approval of new biopharmaceuticals. This procedure includes testing comparability with a reference product and demands post-approval pharmacovigilance. Omnitrope® was the first off-patent recombinant human growth hormone (rhGH) approved on the basis of the biosimilar pathway; it underwent a very demanding approval procedure in 2006 and is now used for several indications in Europe, the US, Canada, Japan, Australia and other countries where it has received marketing approval.
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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 | 0.006 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".