Phenotypic features of 46, XX females with StAR protein mutations.
Bibliographic record
Abstract
OBJECTIVE: To understand the basis of the phenotypic variations of 46, XX girls with mutations in the gene for Steroidogenic Acute Regulatory (StAR) Protein. The patients with mutation in both the alleles of the StAR gene result in deficiency of all the steroidal hormones and severe adrenal insufficiency. The majority of the 46, XX females spontaneously undergo puberty but the underlying defect ultimately leads to the development of ovarian cysts and premature menopause. The mechanism of the lesion in the ovary remains to be understood completely. DESIGN: We compiled the description of the clinical information and biochemical data of patients with StAR mutation from published manuscripts. These articles were collected from the NCBI website (www.pubmed.org) and from the subsequent reference searches of retrieved articles. The data of the 46,XX patients with proven StAR mutation were included for the review. RESULTS: The majority of StAR 46,XX females developed irregular menses and ovarian cysts. The ovarian cyst enlargement progressively led to torsion and presented as a life-threatening emergency. The fertility of 46,XX StAR patients is severely compromised as ultimately premature menopause ensued. CONCLUSIONS: Early hormonal replacement is warranted to prevent the progressive ovarian cyst formation. Newer techniques to preserve the fertility of these patients can be implied early in the pubertal developmental process if patients desire pregnancy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".