Intravenous Immunoglobulin for Repeated <scp>IVF</scp> Failure and Unexplained Infertility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PROBLEM: We set out to determine whether intravenous immunoglobulin (IVIG) improves in vitro fertilization (IVF) success rates in women with a difficult history of multiple (≥ 2) prior IVF failures and /or 'unexplained' infertility. METHOD OF STUDY: A total of 229 women with multiple IVF failures (3.3 ± 2.1) and/or unexplained infertility (3.8 ± 2.7 years) were given IVIG on the day of egg retrieval, and the subsequent IVF success rates were compared with published success rates from the Canadian database (CARTR). RESULTS: The pregnancy rate per IVIG-treated cycle was 60.3% (138/229), and the live birth rate per IVIG-treated cycle was 40.2% (92/229). This is a significantly higher success rate compared to the Canadian average (30% live birth rate; CARTR statistics from 2010; P = 0.0012). In cases where a single embryo was transferred, pregnancy rate using IVIG was almost twofold the CARTR pregnancy rate [(61%(20/33) to 34.9% (428/1225)]. In cases where two high quality (≥ Grade 3) day 5 blastocysts were transferred, nearly a 100% pregnancy rate was achieved using IVIG (30/31). CONCLUSION: IVIG may be a useful treatment option for patients with previous IVF failure and/ or unexplained infertility. The data confirm previously published studies at other centers.
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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 | 0.001 | 0.004 |
| 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) | 0.000 | 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 it