Reply: Intravenous immunoglobulin and idiopathic secondary recurrent miscarriage: methodological problems
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
Sir, We would like to address and clarify Dr Clark's comments. This study was designed to show a treatment effect, based on prior publications which suggested evidence of benefit. Since this recent randomized controlled trial (RCT) (Stephenson et al., 2010), the largest to date, found that intravenous immunoglobulin (IVIG) was of no significant benefit, the next step would be an equivalency RCT, although obtaining adequate funding would be difficult due to the large sample size required. Our RCT revealed that despite a history of 3–16 consecutive miscarriages, a clinical live birth rate of 94% can be achieved with preconception care and close first trimester monitoring in women with idiopathic secondary recurrent miscarriage, and without the addition of experimental drugs or blood derivatives. IVIG, a fractionated blood product, is expensive and not without risk, therefore, its use should be based on the best evidence available. With our meta-analysis, no significant effect of treatment with IVIG was found, which was confirmed by a subsequent systematic review of IVIG for recurrent miscarriage (Ata et al., 2011). In addition to IVIG, a systematic review of randomized trials found no significant beneficial effect of paternal or third party mononuclear cell immunization, and trophoblast membranes over placebo in improving the live birth rate in idiopathic recurrent miscarriage (Porter et al., 2006). Presently, mononuclear cell immunization requires Food and Drug Administration approval under an investigational new drug application.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.023 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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