O-214 Incidence and factors associated with premature ovarian insufficiency: a population-based cohort study
Bibliographic record
Abstract
Abstract Study question What is the incidence and associated risk factors for premature ovarian insufficiency (POI) in Ontario, Canada between 1995 and 2019? Summary answer The incidence of POI has been rising since 2011; those with history of endometriosis had the highest incidence of POI compared to other associated factors. What is known already Recent estimates of POI suggest a global prevalence of 3.7% with increased rates over time. The underlying etiology of POI is variable and can range from genetic, to autoimmune, to infectious or iatrogenic. Nonetheless, in about 70% of cases, the etiology of spontaneous POI remains unknown. Prior studies on the incidence of POI are limited by study designs that may lead to recall bias, including self-report and cross-sectional data on age at menopause, small sample size, and inability to assess factors associated with POI. Study design, size, duration Population-based cohort study including all females in Ontario ≤ 39 years between 1995 and 2019. Follow-up was until development of POI, age 40, death, loss of Insurance Plan, or end of the study period. The primary outcome was a diagnosis of POI from a minimum of one of two sources occurring before the age of 40: a) records of surgical menopause, or b) 1 or more physician consultations billed as menopause diagnosis (ICD-9 627). Participants/materials, setting, methods Annual incidence rates (IR) of POI diagnosis were calculated using census data with the whole female Ontario population aged 39 years or younger as the denominator. Diagnosis type were defined as non-iatrogenic, surgical, post-chemotherapy and/or radiotherapy, or post-surgery in combination with chemotherapy and/or radiotherapy. Potential associated factors in relation to POI were quantified by incidence rate ratios (IRR) derived by modified Poisson regression. Main results and the role of chance Of all 3,635,702 eligible women, 168,173 had newly diagnosed POI due to any etiology (IR 389.4 per 100,000 person-years). Participants were followed for a median (IQR) of 11 (6-18) years. The mean (IQR) age at POI diagnosis was 31 (25-26) years. IRs by type of POI diagnosis were: 351.4 per 100,000 person-years for non-iatrogenic, 30.2 per 100,000 person-years for surgical, 5.5 per 100,000 person-years post-chemotherapy and/or radiotherapy, and 2.3 per 100,000 person-years post-surgery in combination with chemotherapy and/or radiotherapy. Overall incidence of POI decreased from 2002 to 2008, followed by an increase to 2019, primarily driven by non-iatrogenic POI which followed this trend. The IR of surgically induced POI decreased from 60 per 100,000 person-years in 1995 to 20 per 100,000 person-years in 2019. The IR of POI related to chemotherapy and radiation +/- surgery show a steady increase 1995 to 2019. Age adjusted IRR of POI by potential associated factors were 1.19 (1.17-1.22) for autoimmune disorders, 1.50 (1.42 - 1.59) for genetic disorders, 1.59 (1.51-1.67) for drug/tobacco use, 2.01 (1.89 -2.14) for cancer, chemotherapy or radiotherapy, and 3.45 (3.39 - 3.52) for endometriosis. Limitations, reasons for caution This study is limited by the use of administrative health data, namely misclassification and residual confounding. Wider implications of the findings These results may help guide clinician counselling for those with co-morbidities associated with POI, particularly patients with endometriosis. These results also indicate that ovarian-preserving surgical approaches have led to greatly reduced incidence of surgically-induced POI since 1995 in Ontario, Canada. Trial registration number No
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".