MétaCan
Menu
Back to cohort
Record W4406232484 · doi:10.1097/hjh.0000000000003959

Formulas to estimate dietary sodium intake from spot urine lead to misleading associations with cardiovascular disease risk and mortality

2025· article· en· W4406232484 on OpenAlexaff
Jing Song, Changqiong Wang, Sonia Pombo-Rodrigues, Graham A. MacGregor, Norm R.C. Campbell, Feng J. He

Bibliographic record

VenueJournal of Hypertension · 2025
Typearticle
Languageen
FieldNursing
TopicSodium Intake and Health
Canadian institutionsLibin Cardiovascular Institute of AlbertaUniversity of Calgary
Fundersnot available
KeywordsMedicineHazard ratioProportional hazards modelUrineInternal medicineSodiumIncidence (geometry)Linear regressionConfidence intervalGastroenterologyStatisticsMathematics

Abstract

fetched live from OpenAlex

OBJECTIVES: To test the hypothesis that the association of formula-estimated sodium intake from spot urine with cardiovascular disease is independent of spot urinary sodium concentration. METHODS: We included 435 336 participants in the UK Biobank whose sodium intake was estimated from spot urine using INTERSALT, Kawasaki, and Tanaka formulas. Hazard ratios for cardiovascular disease (CVD) events and deaths were estimated using Cox proportional-hazard model adjusted for multiple covariates. Penalized Cox regression was used to assess nonlinear relations. Hazard ratios were recalculated after replacement of the sodium concentration term with sex-specific mean values (women: 67.5 mmol/l; men: 89.8 mmol/l) to assess how other components of the formulas influenced these associations. RESULTS: Forty-four thousand two hundred and sixty-eight CVD events and 3251 CVD deaths occurred during a median follow-up of 12 years. The mean estimated sodium intake was 143 (SD = 35), 178 (52), and 147 (33) mmol/day based on INTERSALT, Kawasaki, and Tanaka formulas, respectively. For CVD incidence, linear inverse associations were observed for INTERSALT and Tanaka estimates [hazard ratios (95% CIs) for every 50 mmol increase in estimated sodium intake: 0.9 (0.83-0.97) and 0.93 (0.89- 0.97); P -linear = 0.0047 and 0.0021], and a U-shaped association for the Kawasaki estimates ( P -nonlinear = 0.0026). When the sodium concentration term was fixed, inverse associations were seen for all formulas [0.86 (0.77-0.95), 0.96 (0.93-0.99) and 0.94 (0.89-0.99) for INTERSALT, Kawasaki, and Tanaka; P linear = 0.0054, 0.0166 and 0.0188]. For CVD mortality, no association was observed, but a nonlinear association was identified for the INTERSALT equation ( P -nonlinear = 0.0287) after fixing the sodium concentration. CONCLUSION: These formula-estimated sodium intakes were associated with CVD incidence and mortality independently of spot urinary sodium concentration. We recommend these formulas not be used in studies associating sodium intake with CVD outcomes to avoid generating misleading evidence.

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)0.013
metaresearch head score (Gemma)0.060
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 score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.060
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.040
GPT teacher head0.306
Teacher spread0.265 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of HypertensionSame topicSodium Intake and HealthFrench-language works237,207