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Record W7045381432

The association between vasomotor symptoms and metabolic health in peri- and postmenopausal women: A systematic review

2015· article· en· W7045381432 on OpenAlexaboutno aff

Bibliographic record

VenueEUR Research Repository (Erasmus University Rotterdam) · 2015
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsVasomotorInsulin resistanceConfoundingType 2 diabetesCohort studyCohortDiabetes mellitusObservational study
DOInot available

Abstract

fetched live from OpenAlex

The objective of this study was to systematically review studies describing the association between vasomotor symptoms and metabolic syndrome, type 2 diabetes and insulin resistance in peri- and postmenopausal women. A systematic search of studies was performed in EMBASE, MEDLINE, Webof- science, Scopus, PubMed publisher, Cochrane Library, Google scholar. To identify studies eligible for inclusion, the following criteria were defined: randomised trials, cohort, case-control, and cross-sectional studies investigating the association between vasomotor symptoms and metabolic syndrome, type 2 diabetes and insulin resistance in peri- and postmenopausal women with natural menopause. Methodological quality was assessed using a modified NewCastle Ottawa Assessment Scale. After screening 2660 titles and abstracts, four studies, of which two cohort studies met the criteria of high methodological quality, were included in the review. Because of the heterogeneity and the limited number of studies, there is no sufficient evidence on the potential role of vasomotor symptoms in metabolic health. However, both high-quality cohort studies, with large study populations and adjustment for multiple confounding variables showed positive associations between vasomotor symptoms and insulin resistance and type 2 diabetes mellitus. These findings suggest that there is an association between vasomotor symptoms and metabolic health outcomes. To confirm this and to strengthen the evidence, more high quality longitudinal research on this topic is needed.

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 imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.518

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.282
Teacher spread0.263 · 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 teacher head, 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
Published2015
Admission routes1
Has abstractyes

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