The many menopauses: Subjective Cognitive Decline in younger women with bilateral oophorectomy
Bibliographic record
Abstract
BACKGROUND: There are many menopauses varying in their trajectories toward aging and some, dementia. Surgical menopause from early-life bilateral ovarian removal (BSO), marked by immediate cessation of ovarian hormone production, notably 17-b-estradiol (E2), has perhaps the most severe trajectory. Large cohort data show increased late-life Alzheimer's disease risk and steeper cognitive decline compared to spontaneous menopause (SM); smaller studies within five years post-BSO show decreased verbal episodic and spatial working memory vs. age-matched controls. OBJECTIVES: To determine how younger, middle-aged women (average age 43 at BSO; 48 at study) perceive their memory after BSO. METHOD: Using qualitative interviews and body map/story-telling (BMST), we collected women with BSO's stories about their memory: if they perceived a decline, how they felt, about it, and the corporeal experiences of memory problems. RESULTS: In interviews with younger women with BSO, many told us they experience memory problems. Many of these participants also had either verbal or spatial memory decrements within five years post-BSO. They reveal those memory losses to be in word-finding, remembering people's names, and where they place things. Preliminary themes emerging from BMST were: (i) Chaos around the head; (ii) Memory Tools and (iii) Menopause affects daily life: Ovarian removal in a menopause milieu. CONCLUSION: SCD may be an immediate outcome of BSO prior to age 50. It prompts women to feel old, express concerns about their memory, and use memory tools. SCD+ generally includes women in SM and includes several risk factors; we might consider including BSO prior to age 50.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".