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Record W2404706218 · doi:10.1016/s0140-6736(16)30467-6

Associations of urinary sodium excretion with cardiovascular events in individuals with and without hypertension: a pooled analysis of data from four studies

2016· review· en· W2404706218 on OpenAlexafffund
Andrew Mente, Martin O’Donnell, Sumathy Rangarajan, Gilles R. Dagenais, Scott A. Lear, Matthew McQueen, Rafael Díaz, Álvaro Avezum, Patricio López‐Jaramillo, Fernando Laņas, Wei Li, Yin Lu, Yi Sun, Lei Rensheng, Romaina Iqbal, Prem Mony, Rita Yusuf, Khalid Yusoff, Andrzej Szuba, Aytekin Oğuz, Annika Rosengren, Ahmad Bahonar, Afzalhussein Yusufali, Aletta E. Schutte, Jephat Chifamba, Johannes F.E. Mann, Sonia S. Anand, Koon Teo, Salim Yusuf

Bibliographic record

VenueThe Lancet · 2016
Typereview
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsMcMaster UniversitySimon Fraser UniversityProvidence Health CarePopulation Health Research InstituteUniversité LavalHamilton Health Sciences
FundersFaculty of Community and Health Sciences, University of the Western CapeCanadian Institutes of Health ResearchIndependent University, BangladeshServierSerbian Academy of Sciences and ArtsUniwersytet Medyczny im. Piastów Slaskich we WroclawiuUniversiti Kebangsaan MalaysiaAstraZenecaMinistério da Ciência, Tecnologia e InovaçãoMedical Research CouncilIndian Council of Medical ResearchHamilton Health SciencesSvenska Forskningsrådet FormasNational Research FoundationNorth-West UniversitySouth Africa Netherlands research Programme on Alternatives in DevelopmentPublic Health Agency of CanadaHamilton Health Sciences FoundationDepartamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)McMaster UniversitySanofiVetenskapsrådetHeart and Stroke Foundation of CanadaUniversidad de La FronteraPublic Health AgencyGlaxoSmithKline
KeywordsMedicineExcretionUrinary systemSodiumInternal medicineEndocrinologyPhysiologyUrologyChemistry

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.007
metaresearch head score (Gemma)0.015
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: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0110.020
Bibliometrics0.0050.006
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0020.001
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 head0.235
GPT teacher head0.393
Teacher spread0.158 · 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

Citations481
Published2016
Admission routes2
Has abstractno

Explore more

Same venueThe LancetSame topicSodium Intake and HealthFrench-language works237,207