Maternal Age-Related Rates of Gestational Trophoblastic Disease
Bibliographic record
Abstract
OBJECTIVE: To estimate the incidence of gestational trophoblastic disease in Nova Scotia and to evaluate the effect of time and maternal age on these rates. METHODS: Information on women with a pathologically confirmed diagnosis of gestational trophoblastic disease was extracted from the Nova Scotia Gestational Trophoblastic Disease Registry between 1990 and 2005. The total numbers of deliveries and pregnancies were determined from the Nova Scotia Atlee Perinatal Database and consensus data derived from Statistics Canada. RESULTS: Four-hundred twenty-eight women were identified with gestational trophoblastic disease. Hydatidiform moles showed rates of 220/100,000 pregnancies, 264/100,000 total births, and 266/100,000 live births. Rates of partial mole were twofold higher than complete mole (P<.001). The rates of hydatidiform mole were highest in both younger (younger than 20 years old, P=.02) and older age groups (30-34 years old, P=.04, and at least 35 years old, P=.02). The rates of hydatidiform mole were highest in both younger (less than 20 years old, P=.02) and older age groups (30-34 years old, P .04, and 35 or more years old P=.02). The rates of partial moles were significantly higher in women older than 20 years of age (P<.001) and increased with increasing age (P<.001); the reverse trend was seen in complete mole (P<.001). There was no temporal change in rates or average age of hydatidiform mole during the study period. CONCLUSION: The rates of hydatidiform mole in Nova Scotia estimated by this population-based study using comprehensive validated information, are higher than most previously reported. Maternal age was a significant factor in the risk for molar pregnancies.
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 | 0.004 |
| 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) | 0.002 | 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".