Evidence map›Paper›PMID 37775738›Full record

ArticleCardiovascular diabetology2023

Association of cardio-renal biomarkers and mortality in the U.S.: a prospective cohort study.

Fan Yang, Mingsi Wang, Yuzhu Chen, Jianjun Wu, Yilan Li

Open access · goldAbstract read
In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.6field-weighted citation impact, top 3% of its field
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

22 citing papers in PubMed, 28 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Fan Yang *Department of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Mingsi Wang *College of Health Management of Harbin Medical University, Harbin, 150076, China.
Yuzhu ChenThe Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China.
Jianjun WuDepartment of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China. drwujianjun@sina.com.ORCID http://orcid.org/0000-0001-6037-3229
Yilan LiDepartment of Cardiology, the Second Affiliated Hospital of Harbin Medical University, Harbin, 150086, China. lyl@hrbmu.edu.cn.ORCID http://orcid.org/0000-0001-5706-0088
Ministry of Education of the People's Republic of China · CNHarbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDiabetes poses a significant threat to human health. There is a lack of large-scale cohort studies to explore the association between mortality risk and indicators beyond blood glucose monitoring in diabetic populations.

methodsMultivariable Cox proportional hazards regression models were performed to investigate the association of 13 blood biomarkers with mortality risk in the National Health and Nutrition Examination Survey (NHANES) and biomarker levels were log-transformed and correlated with mortality.

resultsDuring a median follow-up of 7.42 years, 1783 diabetic patients were enrolled. Compared to traditional risk factors, the addition of hs-cTnT, hs-cTnI, NT-proBNP, creatinine, cystatin C, and β-2 microglobulin biomarkers increased the predictive ability for all-cause mortality by 56.4%, 29.5%, 38.1%, 18.8%, 35.7%, and 41.3%, respectively. However, the inclusion of blood glucose monitoring had no impact on the prediction of all-cause mortality. Compared with the 1st quartiles of creatinine and Cystatin C, the risk of diabetes mortality were higher in the highest quartiles (HR: 5.16, 95% CI: 1.87-14.22; HR: 10.06, 95% CI: 4.20-24.13).

conclusionsIn the diabetic population, elevated plasma levels of hs-cTnT, hs-cTnI, NT-proBNP, creatinine, cystatin C, and β-2 microglobulin serve as robust and straightforward predictors of long-term mortality compared to blood glucose levels and HbA1c values. Creatinine and cystatin C stand out as more precise markers for predicting diabetes mortality prior to blood glucose monitoring.

Indexed as

Cystatin CDiabetes MellitusBiomarkersBlood GlucoseBlood Glucose Self-MonitoringCohort StudiesCreatinineHumansNatriuretic Peptide, BrainNutrition SurveysPeptide FragmentsPrognosisProspective StudiesTroponin TBiomarkersBlood GlucoseCreatinineCystatin CNatriuretic Peptide, BrainPeptide FragmentsTroponin TCardiovascular mortalityDeath burdenDiabetesNHANESPredict risk model

Identifiers

PMID37775738
PMCPMC10542251
OpenAlexW4387163957

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.