Evidence map›Paper›PMID 38308766›Full record

ArticleIrish journal of medical science2024

Biological variation in the estimated glomerular filtration rate of healthy individuals within 24 h calculated using 2021CKD-EPI equations.

ChaoQiong Zhou, QianRong Xie, HuaLi Wang, Feng Wu, DaHai He, Ying Huang, Ying He, ShiRong Dai, Jie Chen, LiRui Kong and 1 more

Abstract read
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In one paragraph

Article in Irish journal of medical science, 2024. 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
0.3field-weighted citation impact, top 42% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Association Between Renal Dysfunction and Lipid Ratios in Rural Black South Africans.International journal of environmental research and public health · 2025
    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

11 authors at 2 institutions in 1 country.

ChaoQiong Zhou *Department of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
QianRong Xie *Department of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
HuaLi WangDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
Feng WuDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
DaHai HeDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
Ying HuangDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
Ying HeDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
ShiRong DaiDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
Jie ChenDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China.
LiRui KongDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China. 524392472@qq.com.
Yan ZhangDepartment of Clinical Laboratory, Traditional Chinese Medicine Hospital of Pidu District, No. 342, South Street, Pidu District, Chengdu, Sichuan, 611730, China. 114612396@qq.com.
Chengdu University of Traditional Chinese Medicine · CNThird People's Hospital of Chengdu · CN

Funding

Chengdu Medical Scientific 2021178Chengdu Medical Scientific 2021192Chengdu Medical Scientific 2022376Chengdu University of Traditional Chinese Medicine XJ2022000801Chengdu University of Traditional Chinese Medicine YYZX2021136
6 · The paper itself

Abstract

BACKGROUND AND

aimsUse the MDRD (Modification of Diet in Renal Disease) and 2021 CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) equation void of race coefficients (CKD-EPI

methodsBlood samples were collected from 30 healthy subjects at six time points within 24 h. Serum creatinine (S-Crea) and serum cystatin C (S-Cys-C) were measured, and the BV of eGFR was calculated. Outlier and variance homogeneity analyses were performed, followed by CV-ANOVA on trend-corrected data.

resultsThe eGFR CV

conclusionsWe present data on the 24 h BV eGFR of the 2021 CKD-EPI equations. The presence of BV has impact on the interpretation of GFR results, affecting CKD disease grading. The RCV

Indexed as

CreatinineCystatin CGlomerular Filtration RateRenal Insufficiency, ChronicAdultAgedFemaleHealthy VolunteersHumansMaleMiddle AgedYoung AdultCreatinineCystatin CBiological variation(BV)Chronic kidney disease (CKD)Estimated GFR(eGFR)Healthy SubjectIndividuality index (II)Reference change value (RCV)

Identifiers

PMID38308766
OpenAlexW4391513940

What OpenQuestion holds

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Registered trials

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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.