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Record W3010288815 · doi:10.2991/artres.k.191224.122

P93 Relationship Between Central Pressure and Urinary Sodium Excretion in a Population-based Study in Salvador, Brazil, Preliminary Results

2019· article· en· W3010288815 on OpenAlexaboutno aff
Roberta de Castro, Lucélia Batista Neves Cunha Magalhães, D. Brustolim, Diorlene da Silva, Antonio Filho, Larissa Ribeiro Bessa, Grupo Vascor

Bibliographic record

VenueArtery Research · 2019
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePopulationInternal medicineUrologyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract Introduction Central pressure (CP) has shown to be more reliable than cardiovascular mortality; salt intake in the diet is directly related to the increase in CP. Methods A population-based cross-sectional study representative of a neighborhood of Salvador-BA, Brazil, distributed in 12 census tracts according to the Brazilian Institute of Geography and Statistics. The overall sample is randomized in adults from the assigned area, from December 2016 to May 2019 comprise 145 people. The central pressure, measured in the radial artery, obtained through aplanation tonometry, using the SphygmoCor ® apparatus (XCEL, AtCor Medical, Sydney, Australia, [2] with confidence ≥85%). PC is evaluated directly by the central systolic pressure and diastolic pressure. Collected blood and urine sodium 24 hours were quantified by the ADVIA 1800 ® selective ion electrode (SiemensHealthcare Japan/Canada), and all participants signed a Free and Informed Consent Form. Mean, standard deviation, Spearman’s linear correlation coefficient between CP and Na + , stratified by age and sex, using STATA v.12 software for treatment and generation of results, and the level of significance statistic of 5%. Results For both sexes, were inversely proportional, although not significant. Conclusion The results obtained aren’t adequate as evidence in the literature. A larger sample is needed for accuracy in this group.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
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 head0.099
GPT teacher head0.404
Teacher spread0.305 · 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
Published2019
Admission routes1
Has abstractyes

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