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Record W7116913808 · doi:10.1016/j.lanhl.2025.100803

Menopause hormone therapy and risk of mild cognitive impairment or dementia: a systematic review and meta-analysis

2025· article· en· W7116913808 on OpenAlexfundaboutno aff
Mel Melville, Lexi He, Roopal Desai, Primrose Nyamayaro, Chris Fox, Kavita Kothari, Patrick Condron, Martha Hickey, Aimee Spector

Bibliographic record

VenueThe Lancet Healthy Longevity · 2025
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsnot available
FundersLudwig-Maximilians-Universität MünchenAlzheimer’s Research UKPublic Health AgencyUK Research and InnovationNational Institute for Health and Care ResearchPublic Health Agency of CanadaNational Institute on Handicapped ResearchEconomic and Social Research CouncilWorld Health Organization
KeywordsCognitive impairmentMenopauseHormone therapyPublic healthEpidemiologyDiseaseCognitionRisk factor

Abstract

fetched live from OpenAlex

BACKGROUND: Globally, dementia disproportionately affects women. Changes in circulating sex steroids over the menopause transition might contribute to this sex difference. Menopause hormone therapy (MHT) is recommended by the UK National Institute for Health and Care Excellence to manage menopausal symptoms, but whether MHT use affects dementia risk and how this association might vary by age at menopause is unclear. We aimed to assess whether MHT (vs no MHT) affects the risk of mild cognitive impairment or dementia in peri-menopausal or post-menopausal women, including those with premature ovarian insufficiency or early menopause (with normal cognition or mild cognitive impairment), and whether MHT type, duration, or age at initiation influence this risk. METHODS: We systematically searched MEDLINE via OVID, Embase via Elsevier, Cochrane via OVID, and PsycINFO via OVID for systematic reviews published between Jan 1, 2000, and Dec 19, 2024. As no existing review met our quality or scope criteria, we proceeded to conduct a systematic review and meta-analysis of primary studies published from Jan 1, 2000, to Oct 20, 2025. Eligible primary studies included randomised controlled trials (RCTs), non-randomised intervention studies, and prospective observational studies examining the association between MHT-including oestrogen-only MHT, combined MHT, testosterone, and tibolone-and incident mild cognitive impairment or dementia. Two reviewers independently screened studies, extracted data, and assessed risk of bias using RoB 2 and ROBINS-E, with certainty of evidence rated using GRADE. Meta-analyses pooled relative risk estimates in a random-effects model. The protocol was preregistered on PROSPERO (CRD42025639384). FINDINGS: Of 5914 records, ten studies (one RCT and nine observational studies) with a total of 1 016 055 participants were included. Certainty of evidence ranged from moderate to very low. No included studies examined testosterone or use in premature ovarian insufficiency. No significant association was found between MHT use and risk of mild cognitive impairment or dementia. Subgroup analyses by timing, duration, and type of MHT showed no significant effects. INTERPRETATION: This review found no evidence that MHT use either increases or decreases the risk of dementia in post-menopausal women. This reinforces current clinical guidance, that MHT prescription should be based on other perceived benefits and risks and not for dementia prevention. High-quality, long-term studies are needed to clarify the role of MHT and dementia risk, particularly regarding formulation, dose, route, timing, and duration of treatment, with a focus on women with premature ovarian insufficiency, early menopause, or mild cognitive impairment. FUNDING: The Public Health Agency of Canada.

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)0.017
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.089

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.044
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0230.033
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0030.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.115
GPT teacher head0.393
Teacher spread0.278 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations14
Published2025
Admission routes2
Has abstractyes

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