Evidence map›Paper›PMID 38229680›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2024

Estimated pulse wave velocity added additional prognostic information in general population: Evidence from National Health and Nutrition Examination Survey (NHANES) 1999-2018.

Zhe Zhou, Xiaoling Liu, Wanyong Xian, Yan Wang, Jun Tao, Wenhao Xia

Abstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

6 authors.

Zhe ZhouDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Xiaoling LiuDepartment of Cardiology, Shantou Central Hospital, China.
Wanyong XianThe Fourth People's Hospital of Nanhai District of Foshan City, Foshan, China.
Yan WangHealth Management Center of the First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Jun TaoDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Wenhao XiaDepartment of Hypertension and Vascular Disease, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: As an indicator of arterial stiffness, there is controversy over whether estimated pulse wave velocity (ePWV) add additional prognostic information other than cardiovascular risk factors or traditional risk estimation model in general population. Methods: Data from National Health and Nutrition Examination Survey in 1999-2018 was analyzed. Cardiovascular risk factors were collected and Framingham Risk Score (FRS) was calculated. Using all-cause and cardiovascular mortality as outcomes, Cox and restricted cubic spline (RCS) analysis was performed. Receiver operator characteristic (ROC) curves, Harrell's C-statistic and net reclassification index (NRI) analysis were used to assess whether ePWV adds additional predictive value. Results: The association between ePWV and outcomes was independent of cardiovascular risk factors (HR = 1.23 [95%CI 1.23-1.50] per m/s for all-cause mortality, and 1.52 [1.30-1.78] for cardiovascular mortality) and FRS (1.22 [1.12-1.32] for all-cause mortality, and 1.32 [1.10-1.59] for cardiovascular mortality). Except for ePWV and all-cause mortality adjusted by FRS, a liner association was found between ePWV and outcomes. For predictive value, the area under ROC and Conclusions: In general population, the present study demonstrated the association between ePWV and all-cause, cardiovascular mortality is independent of cardiovascular risk factors and traditional risk estimated model. ePWV also added additional information to them in predicting clinical outcomes.

Indexed as

Cardiovascular risk factorClinical outcomeEstimated pulse wave velocityFramingham risk ScoreNational Health and Nutrition examination Survey

Identifiers

PMID38229680
PMCPMC10789630

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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.