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Record W4390191909 · doi:10.1002/alz.083220

Working and episodic memory trajectories over time following bilateral oophorectomy in early midlife women

2023· article· en· W4390191909 on OpenAlexaffabout
Laura Gravelsins, Rebekah Reuben, Alana Brown, Nicole Gervais, Anne Almey, Annie Duchesne, Laurice Karkaby, Mateja Perović, Suzanne Tyson Witt, Elisabet Classon, Nina Lykke, Elvar Theodorsson, Elisabeth Åvall Lundqvist, Preben Kjølhede, Maria Engström, Michelle Jacobson, Marcus Q. Bernardini, William D. Foulkes, Elizabeth Page‐Gould, Elizabeth Hampson, Gillian Einstein

Bibliographic record

VenueAlzheimer s & Dementia · 2023
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsWestern UniversityMcGill UniversityUniversity of Northern British ColumbiaBaycrest HospitalUniversity of Toronto
Fundersnot available
KeywordsEpisodic memoryForgettingPsychologyMemory spanWorking memoryAudiologyCognitive declineCognitionDevelopmental psychologyMedicineCognitive psychologyInternal medicineDiseaseDementiaPsychiatry

Abstract

fetched live from OpenAlex

Abstract Background Early ovarian hormone deprivation due to bilateral salpingo‐oophorectomy (BSO; ovarian and fallopian tube removal) is a risk for late‐life AD, but estradiol replacement therapy (ERT) may be protective (Rocca et al., 2007). Working and episodic memory decrements have been observed without ERT soon after surgery (Sherwin et al., 1988) and on average 5 years post‐BSO in midlife compared to premenopausal controls (Gervais et al., 2020). Unknown is whether memory continues to decrease over time in early midlife, a critical period for understanding cognitive trajectories that presage AD. We investigated memory changes in early midlife over time post‐BSO, and whether those taking ERT had different trajectories than those without. Method Participants with BSO taking ERT (BSO+ERT: M age = 44.5y; n = 71) were compared to those not taking ERT (BSO: M age = 43.2y; n = 55), recruited from Toronto and Montreal, Canada, and Linköping, Sweden, and completed up to four yearly visits. Episodic memory was evaluated using Logical Memory Task (LM) percent forgetting and Rey Auditory Verbal Learning Test (RAVLT) total learning. Working memory was assessed using Spatial Working Memory Task (SPWM) trial 1 errors, Digit Ordering Task (DOT) errors, and Digit Span Backward Task (DSB) span length. Multilevel models were used to examine whether ERT influenced memory over time post‐BSO and disaggregate within‐ and between‐person effects. Estimated marginal means (Aiken and West, 1991) were calculated to delineate significant interactions. Result There were no significant changes over time post‐BSO on LM or RAVLT. The DSB showed significant within‐ and between‐person effects; the BSO group showed decreases in span length over time post‐BSO, while the BSO+ERT group showed increases and had significantly longer span lengths at seven years post‐BSO and beyond (Fig.1A&B). The SPWM Task showed a significant within‐person effect; the BSO group had stable errors over time post‐BSO, while the BSO+ERT group had working memory improvements and made fewer errors (Fig.1C). Conclusion Findings suggest that immediate verbal episodic memory declines we observed previously may stabilize. They also reveal that without ERT, most women have working memory declines post‐BSO. These data support ERT administration post‐BSO for working memory preservation. If ERT is contraindicated, cognitive training or lifestyle interventions may mitigate working memory declines.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.034
GPT teacher head0.299
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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