Recombinant human luteinizing hormone, lutropin alfa, for the induction of follicular development and pregnancy in profoundly gonadotrophin‐deficient women
Bibliographic record
Abstract
OBJECTIVE: To provide evidence of efficacy and safety for use of lutropin alfa in inducing follicular development and pregnancy in hypogonadotrophic hypogonadal women with profound gonadotrophin deficiency. DESIGN: An open-label, noncomparative extension of a randomized, double-blind, placebo-controlled study PATIENTS: A total of 31 hypogonadotrophic hypogonadal women with profound gonadotrophin deficiency in 23 medical centres in four countries were studied. INTERVENTIONS: Lutropin alfa 75 IU and follitropin alfa (75-225 IU), individually based on each patient's response as is consistent with usual medical practice. MEASUREMENTS: Follicular development as defined by (i) at least one follicle >or= 17 mm; (ii) preovulatory serum oestradiol level >or= 109 pg/ml on the day of hCG administration; and (iii) midluteal phase P(4) level >or= 7.9 ng/ml. Pregnancy and over-response leading to cycle cancellation were considered treatment successes. Pregnancy rates were assessed. RESULTS: In a total of 54 cycles, 27 of 31 (87.1%) profoundly gonadotrophin-deficient patients achieved follicular development within three cycles. Twenty of 27 patients (74.1%) who achieved follicular development and received hCG became pregnant; 16 (59.3%) continued to clinical pregnancy. One patient was hospitalized for severe ovarian hyperstimulation syndrome. Lutropin alfa was well tolerated. CONCLUSIONS: Coadministration of lutropin alfa 75 IU and follitropin alfa is safe and effective in inducing follicular development and pregnancy in hypogonadotrophic hypogonadal women with profound gonadotrophin deficiency in a setting consistent with established medical practice.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 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".