Documentation and prevalence of prenatal and neonatal outcomes in a cohort of individuals with <scp>KBG</scp> syndrome
Bibliographic record
Abstract
Ankyrin Repeat Domain 11 (ANKRD11) gene mutations are associated with KBG syndrome, a developmental disability that affects multiple organ systems. The function of ANKRD11 in human growth and development is not clear, but gene knockout or mutation are lethal in mice embryos and/or pups. In addition, it plays a vital role in chromatin regulation and transcription. Individuals with KBG syndrome are often misdiagnosed or remain undiagnosed until later in life. This is largely due to KBG syndrome's varying and nonspecific phenotypes as well as a lack of accessible genetic testing and prenatal screening. This study documents perinatal outcomes for individuals with KBG syndrome. We obtained data from 42 individuals through videoconferences, medical records, and emails. 45.2% of our cohort was born by C-section, 33.3% had a congenital heart defect, 23.8% were born prematurely, 23.8% were admitted to the NICU, 14.3% were small for gestational age, and 14.3% of the families had a history of miscarriage. These rates were higher in our cohort compared to the overall population, including non-Hispanic and Hispanic populations. Other reports included feeding difficulties (21.4%), neonatal jaundice (14.3%), decreased fetal movement (7.1%), and pleural effusions in utero (4.7%). Comprehensive perinatal studies about KBG syndrome and updated documentation of its phenotypes are important in ensuring prompt diagnosis and can facilitate correct management.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".