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Record W2356675123

The Effect of Endogenous Estrogen on Vascular Endothelial Function

2003· article· en· W2356675123 on OpenAlexaff
Xiang Li

Bibliographic record

VenueChinese Journal of Arterial Lerosis · 2003
Typearticle
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsInternal medicineEndocrinologyAsymmetric dimethylarginineEstrogenEndogenyBrachial arteryEndothelial dysfunctionVasodilationEndotheliumMedicineChemistryArginineBlood pressure
DOInot available

Abstract

fetched live from OpenAlex

Aim To investigate the effect of endogenous estrogen levels on vascular endothelial function and its mechanism in women with coronary heart disease (CHD). Methods Flow mediated dilatation (FMD) of the brachial artery were detected by use of high resolution ultrasound in 33 women with CHD and 17 matched controls. Plasma estradiol were measured by radioimmulogy. Plasma concentrations of asymmetric dimethylarginine (ADMA) were measured by high performance liquid chromatopraphy. Results In comparison with control group, FMD significantly decreased in the CHD group (1.73%±1.26% vs 5.37%±3.20%, P0.001). Plasma estradiol levels were lower in the CHD group than in the controls (27.80±12.28 ng/L vs 43.83±14.30 ng/L, P0.01), whereas ADMA concentrations were higher in the CHD group than in the controls (3.39±1.07 μmol/L vs 1.31±0.69 μmol/L,P0.001). FMD was positively correlated with plasma estradiol levels (β=0.314, P0.05), but negatively correlated with ADMA (β=0.302, P0.05). Plasma estradiol levels inversely correlated with ADMA concentrations (r=-0.544, P0.001). Conclusions This study indicates that endothelium dependent vasodilatation is impaired in women with CHD. The decrease of endogenous estrogen levels accompanied with the increase of ADMA concentrations may involve in one of the mechanisms of endothelial dysfunction in women with CHD.

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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.274
Teacher spread0.254 · 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
Published2003
Admission routes1
Has abstractyes

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