Evidence map›Paper›PMID 35321070›Full record

ArticleBioMed research international2022

Relationship between Arterial Stiffness and Renal Function Determined by Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) Equations in a Chinese Cohort Undergoing Health Examination.

Biwen Tang, Weichao Tu, Jiehui Zhao, Xueqing Deng, Isabella Tan, Mark Butlin, Alberto Avolio, Junli Zuo

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
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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

8 authors at 3 institutions in 2 countries.

Biwen TangDepartment of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China.ORCID https://orcid.org/0000-0002-3966-5443
Weichao TuDepartment of Urology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China.ORCID https://orcid.org/0000-0002-7276-4638
Jiehui ZhaoDaning Community Health Service Center, Shanghai, China.ORCID https://orcid.org/0000-0002-1600-2284
Xueqing DengDepartment of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China.
Isabella TanMacquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0000-0003-3123-6190
Mark ButlinMacquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0000-0002-2746-4222
Alberto AvolioMacquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia.ORCID https://orcid.org/0000-0002-8311-2010
Junli ZuoDepartment of Geriatrics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, China.ORCID https://orcid.org/0000-0002-9850-405X
Shanghai Jiao Tong University · CNMacquarie University · AUThe George Institute for Global Health · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The association between arterial stiffness and cardiovascular risk in CKD and ESRD patients is well established. However, the relationship between renal function estimation and properties of large arteries is unclear due to the four different methods used to quantify glomerular filtration. This study investigated the relationship between carotid-femoral pulse wave velocity (c-fPWV), as a measure of arterial stiffness, and accepted metrics of renal function. Methods: This cross-sectional study was conducted in 431 health examination individuals in China, enrolled from January 2017 to June 2019. c-fPWV and blood pressure were measured, and blood samples were obtained for all participants. Four different methods were used to determine the estimated glomerular filtration rate (eGFR) as described by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) and Modification of Diet in Renal Disease (MDRD) equations: (i) CKD-EPI Results: Of all of the study participants (average age 53.1 ± 13.0 years, 68.1% male), 23.7% had diabetes mellitus and 66.6% had hypertension. The average eGFR values determined by the CKD-EPI Conclusion: In a health examination population in China, c-fPWV is negatively correlated with eGFR determined by four different equations; however, only the metric of eGFR determined by the equation for CKD-EPI

Indexed as

Renal Insufficiency, ChronicVascular StiffnessAdultAgedCreatinineCross-Sectional StudiesDietFemaleGlomerular Filtration RateHumansKidneyMaleMiddle AgedPulse Wave AnalysisCreatinine

Identifiers

PMID35321070
PMCPMC8938063
OpenAlexW4220903192

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.