Evidence map›Paper›PMID 35455752›Full record

ArticleJournal of personalized medicine2022

Investigation of the Relationship between Cardiovascular Biomarkers and Brachial-Ankle Pulse Wave Velocity in Hemodialysis Patients.

Ping-Ruey Chou, Pei-Yu Wu, Ping-Hsun Wu, Teng-Hui Huang, Jiun-Chi Huang, Szu-Chia Chen, Su-Chu Lee, Mei-Chuan Kuo, Yi-Wen Chiu, Ya-Ling Hsu and 2 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. 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

12 authors.

Ping-Ruey ChouSchool of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.ORCID 0000-0003-0960-8277
Pei-Yu WuDepartment of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung 81267, Taiwan.
Ping-Hsun WuDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.ORCID 0000-0003-1021-8161
Teng-Hui HuangDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.
Jiun-Chi HuangDepartment of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung 81267, Taiwan.ORCID 0000-0002-5897-2860
Szu-Chia ChenDepartment of Internal Medicine, Kaohsiung Municipal Hsiao-Kang Hospital, Kaohsiung Medical University, Kaohsiung 81267, Taiwan.ORCID 0000-0002-1610-4184
Su-Chu LeeDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.
Mei-Chuan KuoDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.ORCID 0000-0003-0244-7685
Yi-Wen ChiuDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.
Ya-Ling HsuGraduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan.
Jer-Ming ChangDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.ORCID 0000-0003-0071-1710
Shang-Jyh HwangDivision of Nephrology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung 80708, Taiwan.ORCID 0000-0002-9404-3305

Funding

Kaohsiung Medical University Hospital, Taiwan KMUH104-4R09, KMUH105-5R16, KMUH109-9R16, KMUH110-0M12, KMUH110-0M13, KMUH-DK(B)110003-1, KMUH-DK(B)110003-3Kaohsiung Medical University, Taiwan KMU-DK(B)110003, KMU-Q108024, NPUST-KMU-111-P001, and NHRIKMU-111-I001-3Ministry of Science and Technology, Taiwan MOST 109-2314-B-037-107-MY2
6 · The paper itself

Abstract

Brachial−ankle pulse wave velocity (baPWV) and cardiovascular (CV) biomarkers are correlated with clinical cardiovascular diseases (CVDs) in patients with kidney disease. However, limited studies evaluated the relationship between baPWV and CV biomarkers in hemodialysis patients. This study investigated the relationship between circulating CV biomarkers and baPWV in patients on hemodialysis. Hemodialysis patients were enrolled between August 2016 and January 2017 for the measurement of baPWV, traditional CV biomarkers, including high-sensitivity troponin-T (hsTnT) and N-terminal pro-B-type natriuretic peptide (NT-proBNP), and novel CV biomarkers, including Galectin-3, Cathepsin D, placental growth factor, Endocan-1, and Fetuin-A. The independent association was assessed by multivariate-adjusted linear regression analysis to control for potential confounders. The final analysis included 176 patients (95 men and 81 women) with a mean age of 60 ± 11 y old. After adjusting for age and sex, hsTnT (p < 0.01), NT-proBNP (p = 0.01), Galectin-3 (p = 0.03), and Cathepsin D (p < 0.01) were significantly directly correlated with baPWV. The direct correlation with baPWV existed in multivariable linear regression models with a β of 0.1 for hsTnT and 0.1 for Cathepsin D. The direct relationship between baPWV and CV biomarkers, particularly with hsTnT and Cathepsin D, may be helpful for risk stratification of hemodialysis patients.

Indexed as

brachial–ankle pulse wave velocity (baPWV)cardiovascular (CV) biomarkershemodialysis

Identifiers

PMID35455752
PMCPMC9025475

What Socratic 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 Socratic graph.