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Record W4408405653 · doi:10.1097/hjh.0000000000003997

Sex differences in the association between hypertension, cerebral small vessel disease and cognitive decline: a narrative review

2025· review· en· W4408405653 on OpenAlexaff
Amanpreet Kaur, Sofia Ricciardelli, Natasha Rajah, Louise Pilote

Bibliographic record

VenueJournal of Hypertension · 2025
Typereview
Languageen
FieldMedicine
TopicCerebrovascular and Carotid Artery Diseases
Canadian institutionsToronto Metropolitan UniversityMcGill University Health Centre
Fundersnot available
KeywordsCognitive declineMedicineCognitionDiseaseAssociation (psychology)Incidence (geometry)GerontologyInternal medicinePsychiatryDementiaPsychology

Abstract

fetched live from OpenAlex

The objective of this study was to review how cerebral small vessel disease (CSVD) is associated with hypertension and cognitive decline, specifically regarding sex differences in this association. Strong evidence supports the associations between hypertension and cognitive decline, hypertension and CSVD, as well as CSVD and cognitive decline in both women and men. Sex-stratified analyses show that compared to men, hypertension leads to worse cognitive decline in women likely due to its stronger association with CSVD in women. Indeed, compared to men, prevalence of CSVD and CSVD lesion progression is also higher in women and later in life, the incidence of hypertension is higher in women. Moreover, the association between hypertension and CSVD was found to be stronger in women, as was the association between hypertension and cognitive decline. Therefore, focus on hypertension and CSVD as an important pathophysiological mechanism for cognitive decline may uncover novel sex-specific therapeutic avenues.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.052
GPT teacher head0.306
Teacher spread0.255 · 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 designNot applicable
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

Citations3
Published2025
Admission routes1
Has abstractyes

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