Growth hormone for in vitro fertilization
Bibliographic record
Abstract
BACKGROUND: In an effort to improve outcomes of in-vitro fertilisation cycles the use of growth hormone has been considered. Improving the outcomes of in-vitro fertilisation is especially important for subfertile women who are considered 'poor responders'. OBJECTIVES: To assess the effectiveness of adjuvant growth hormone in in-vitro fertilisation protocols. SEARCH STRATEGY: We searched the Cochrane Menstrual Disorders and Subfertility Groups trials register (June 2009), the Cochrane Central Register of Controlled Trials (Cochrane Library Issue 2, 2009), MEDLINE (1966 to June 2009), EMBASE (1988 to June 2009) and Biological Abstracts (1969 to June 2009). SELECTION CRITERIA: All randomised controlled trials were included if they addressed the research question and provided outcome data for intervention and control participants. DATA COLLECTION AND ANALYSIS: Assessment of trial risk of bias and extraction of relevant data was performed independently by two reviewers. MAIN RESULTS: Ten studies (440 subfertile couples) were included. Results of the meta-analysis demonstrated no difference in outcome measures and adverse events in the routine use of adjuvant growth hormone in in-vitro fertilisation protocols. However, meta-analysis demonstrated a statistically significant difference in both live birth rates and pregnancy rates favouring the use of adjuvant growth hormone in in-vitro fertilisation protocols in women who are considered poor responders without increasing adverse events, OR 5.39, 95% CI 1.89 to 15.35 and OR 3.28, 95% CI 1.74 to 6.20 respectively. AUTHORS' CONCLUSIONS: Although the use of growth hormone in poor responders has been found to show a significant improvement in live birth rates, we were unable to identify which sub-group of poor responders would benefit the most from adjuvant growth hormone. The result needs to be interpreted with caution, the included trials were few in number and small sample size. Therefore, before recommending growth hormone adjuvant in in-vitro fertilisation further research is necessary to fully define its role.
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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 | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 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".