Maternal Genetic Skeletal Disorders: Lessons Learned From Cases of Maternal Osteogenesis Imperfecta and Fibrodysplasia Ossificans Progressiva
Bibliographic record
Abstract
Due to advances in neonatal care, prenatal diagnostics, and artificial reproductive techniques, women affected by skeletal disorders now survive into their reproductive years, desire fertility, and become pregnant. Osteogenesis imperfecta (OI) is a disease of brittle bones prone to fracture and is one of the most common of the skeletal dysplasias. Fibrodysplasia ossificans progressiva (FOP) is a rare debilitating genetic condition characterized by congenital malformations of the great toes and progressive, disabling heterotopic ossification (HO) in which bone forms outside of the skeleton. Here we report two cases of viable pregnancies with severe maternal skeletal disorders. This is only the fourth reported case of a viable pregnancy in a woman with FOP. These cases highlight the complexity of caring for women during pregnancy affected by severe skeletal disorders, the formidable risks when these women become pregnancy, and how these high-risk pregnancies can be successfully managed by a collaborative multidisciplinary care team. J Clin Gynecol Obstet. 2015;4(1):184-187 doi: http://dx.doi.org/10.14740/jcgo306w
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".