Evidence map›Paper›PMID 42317108›Full record

ArticleJournal of clinical hypertension (Greenwich, Conn.)2026

A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.

Anping Cai, Lin Liu, Xiangbing Yu, Donglong Wu, Xiang Lin, Songshan Luo, Ke Liu

Abstract read
In one paragraph

Article in Journal of clinical hypertension (Greenwich, Conn.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. A Clinical Prediction Model for Selective NT-proBNP Testing in Hypertension.Journal of clinical hypertension (Greenwich, Conn.) · 2026
    Article
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

7 authors.

Anping CaiDepartment of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, China.
Lin LiuDepartment of Medicine, School of Clinical Medicine, The University of Hong Kong, Hong Kong, China.
Xiangbing YuDepartment of Cardiology, People's Hospital of Yingde City, Yingde, Guangdong Province, China.
Donglong WuDepartment of Cardiology, People's Hospital of Yingde City, Yingde, Guangdong Province, China.
Xiang LinDepartment of Cardiology, People's Hospital of Yingde City, Yingde, Guangdong Province, China.
Songshan LuoDepartment of Cardiology, People's Hospital of Yingde City, Yingde, Guangdong Province, China.
Ke LiuDepartment of Cardiology, People's Hospital of Yingde City, Yingde, Guangdong Province, China.ORCID 0009-0003-9121-4177

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

N-terminal pro-B-type natriuretic peptide (NT-proBNP) testing is recommended for pre-heart failure (pre-HF) screening. However, universal NT-proBNP testing is infeasible and inefficient. We analyzed data from 4642 U.S. adults with hypertension in NHANES 1999-2004. Heart stress, a biomarker-defined pre-HF state, was defined using age-specific NT-proBNP cutoffs. Multivariable logistic regression was used to identify factors associated with prevalent heart stress, and a point-based score was constructed. Model discrimination and calibration were internally validated using 1000 bootstrapped samples. Heart stress was present in 31% of individuals with hypertension. Factors associated with heart stress included older age, current smoking, prior coronary heart disease/myocardial infarction, higher systolic blood pressure, lower diastolic blood pressure, and reduced estimated glomerular filtration rate. The derivation model showed acceptable discrimination (AUC 0.71; 95% CI 0.70-0.73) and good calibration. An optimal cutoff of 6 points was identified using the Youden index and was internally validated (AUC 0.71; 95% CI 0.69-0.74). Model performance was consistent across race/ethnicity and body mass index subgroups, with relatively lower discrimination in females than in males (AUC 0.66 vs. 0.78). When stratified by a predicted heart stress probability threshold of 50%, individuals in the higher-probability group had higher cumulative risk of all-cause (hazard ratio 3.90; 95% CI 3.55-4.29) and cardiovascular mortality (hazard ratio 5.18; 95% CI 4.44-6.04) than those in the lower-probability group. These findings suggest that a simple model using readily obtainable clinical variables can help identify individuals with hypertension who are likely to have prevalent heart stress, offering a practical strategy to guide selective NT-proBNP testing.

Indexed as

Heart FailureHypertensionNatriuretic Peptide, BrainPeptide FragmentsAdultAgedBiomarkersBlood PressureFemaleHumansMaleMiddle AgedNutrition SurveysPrediction AlgorithmsPredictive Value of TestsRisk FactorsBiomarkersNatriuretic Peptide, BrainPeptide Fragmentspro-brain natriuretic peptide (1-76)biomarkerdiscriminationhypertensionmortalityscreening

Identifiers

PMID42317108
PMCPMC13280469

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.