Incidence of disorders of sexual development in neonates in Ghana: prospective study
Bibliographic record
Abstract
OBJECTIVE: The incidence of disorders of sexual development (DSD) is unknown in sub-Saharan Africa. We describe the characteristics and incidence of DSD in a cohort of infants born in Ghana. DESIGN: Trained research assistants performed systematic genital examination at birth. All infants with suspected abnormal genitalia were further examined by a paediatric endocrinologist. SETTING: Komfo Anokye Teaching Hospital, Kumasi, Ghana. PATIENTS: Consecutive infants born in a single centre over a 1-year period (May 2014 to April 2015). MAIN OUTCOME MEASURES: Incidence of DSD. Micropenis was defined as a stretched length <2.1 cm and clitoromegaly as a clitoral length >8.6 mm. RESULTS: We examined 9255 infants (93% of all live births) within 72 hours of birth. Twenty-six neonates had a DSD. Nineteen infants had DSD without genital ambiguity: isolated micropenis (n=2), hypospadias (n=7), cryptorchidism (n=4) and clitoromegaly (n=6). Seven infants had DSD with ambiguity: clitoromegaly with a uterus on ultrasound and elevated 17-hydoxyprogesterone, suggesting XX DSD due to congenital adrenal hyperplasia (CAH)(n=4) and micropenis, hypospadias and gonads in a bifid scrotum or in the inguinal region, consistent with XY DSD (n=3). CONCLUSION: The incidence of atypical genitalia was 28/10,000 (95% CI 17/10 000 to 39/10 000) live births. The incidence of CAH was 4.3/10 000 (95% CI 1.2/10 000 to 11.1/10 000) and was strongly associated with consanguinity.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".