Evidence map›Paper›PMID 41538590›Full record

ArticleArquivos brasileiros de cardiologia2025

Association of Plasma Osmolality with Cardiovascular Disease Risk: Evidence from the National Health and Nutrition Examination Survey Database.

Feng Gao, Yicheng Shi, Yi Chen, Shu Lu

Erratum issuedAbstract read
In one paragraph

Article in Arquivos brasileiros de cardiologia, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Feng GaoNanjing University of Traditional Chinese Medicine Affiliated Wuxi Hospital - Cardiovascular, Wuxi - China.
Yicheng ShiNanjing University of Traditional Chinese Medicine Affiliated Wuxi Hospital - Cardiovascular, Wuxi - China.
Yi ChenNanjing University of Traditional Chinese Medicine Affiliated Wuxi Hospital - Cardiovascular, Wuxi - China.
Shu LuNanjing University of Traditional Chinese Medicine Affiliated Wuxi Hospital - Cardiovascular, Wuxi - China.ORCID 0009-0002-8358-3792

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) remains the world's leading cause of death. Because of its substantial public health burden, further research is needed to define risk factors that are both modifiable and measurable.

objectiveWe examined the association between plasma osmolality (Osm) and CVDs - namely, heart failure, coronary heart disease, angina, and myocardial infarction - using data from the National Health and Nutrition Examination Survey (NHANES).

methodsWe analyzed nine NHANES cycles (1999-2018). Associations between Osm and CVD were assessed with weighted logistic regression. Odds ratios (ORs) and 95% CIs were estimated, and subgroup analyses were conducted. Restricted cubic spline (RCS) models were used to evaluate potential nonlinear relationships. Statistical significance was set at p < 0.05.

resultsHigher Osm was associated with increased odds of heart failure, coronary heart disease, angina, and myocardial infarction in unadjusted and partially adjusted models. After full adjustment, the associations remained significant for all outcomes except angina. RCS analyses indicated a significant U-shaped relationship for heart failure and angina across all models, with the lowest risk around 278 mmol/kg. Subgroup analyses were consistent with the primary results.

conclusionIncreased Osm is significantly associated with CVD risk. Osm may serve as a useful biomarker for assessment and management of CVD risk in clinical practice, pending confirmation in prospective cohort studies.

Indexed as

Cardiovascular DiseasesPlasmaAgedBiomarkersFemaleHeart Disease Risk FactorsHeart FailureHumansLogistic ModelsMaleMiddle AgedMyocardial InfarctionNutrition SurveysOdds RatioOsmolar ConcentrationReference ValuesBiomarkers

Identifiers

PMID41538590
PMCPMC12711222

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.