Evidence map›Paper›PMID 37387489›Full record

ArticleAnnals of laboratory medicine2023

Effect of Two Cystatin C Reagents and Four Equations on Glomerular Filtration Rate Estimations After Standardization.

Hyun-Seung Lee, Go-Eun Bae, Jung Eun Lee, Hyung-Doo Park

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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

4 authors at 3 institutions in 1 country.

Hyun-Seung LeeDepartment of Laboratory Medicine, School of Medicine, Wonkwang University, Iksan, Korea.ORCID 0000-0003-4590-4989
Go-Eun BaeDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0001-5966-5566
Jung Eun LeeDivision of Nephrology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0002-4387-5291
Hyung-Doo ParkDepartment of Laboratory Medicine and Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.ORCID 0000-0003-1798-773X
Samsung Medical Center · KRSamsung (South Korea) · KRWonkwang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Serum cystatin C (cysC), which is less affected by sex, race, and muscle mass than creatinine, is a useful biomarker of the estimated glomerular filtration rate (eGFR). The standardization of cysC measurements remains controversial, although a certified reference material (ERM-DA471/IFCC) is available. Moreover, the effect of combinations of cysC reagents and equations for eGFR is unclear. Methods: We conducted a simulation analysis of cysC measured using two reagents standardized against ERM-DA471/IFCC-Gentian cystatin C immunoassay (Gentian Results: A total of 148 participants (mean age, 60.5±14.5 years; 43% female) were enrolled. The mean cysC was 1.72±1.44 mg/L for Gentian Conclusions: The equivalence of cysC values at low concentrations (<0.85 mg/L) between the two reagents was unsatisfactory. Results obtained with different measurement systems could lead to larger differences in eGFR varying with the combination.

Indexed as

Cystatin CAgedChildCreatinineFemaleGlomerular Filtration RateHumansMaleMiddle AgedReference StandardsCreatinineCystatin CAsianCaucasianChronic Kidney Disease Epidemiology CollaborationCystatin CEstimated glomerular filtration rateEuropean Kidney Function Consortium

Identifiers

PMID37387489
PMCPMC10345172
OpenAlexW4382631782

What OpenQuestion holds

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LicenceCC BY-NC
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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.