Evidence map›Paper›PMID 39713962›Full record

ArticleJournal of clinical laboratory analysis2025

Comparative Prognostic Value of Glomerular Filtration Rate, Serum Cystatin C, Beta-2-Microglobulin and Albuminuria for Death and Chronic Kidney Disease Progression.

Isis Cerezo, Barbara Cancho, Jorge Alberto Rodriguez Sabillon, Alberto Jorge, Alvaro Alvarez Lopez, Julian Valladares, Juan Lopez Gomez, Jorge Romero, Nicolas Roberto Robles

Abstract readComparative Study
In one paragraph

Article in Journal of clinical laboratory analysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

4 citing papers in PubMed.

  1. 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

9 authors.

Isis CerezoServicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0009-0001-0856-5845
Barbara CanchoServicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0000-0003-3356-4040
Jorge Alberto Rodriguez SabillonServicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.
Alberto JorgeServicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0000-0003-4525-770X
Alvaro Alvarez LopezServicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0000-0003-3431-9469
Julian ValladaresServicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0000-0002-7371-9767
Juan Lopez GomezServicio de Bioquímica Clínica, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0000-0001-6479-4231
Jorge RomeroServicio de Medicina Interna, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0000-0002-6366-2197
Nicolas Roberto RoblesServicio de Nefrologia, Hospital Universitario de Badajoz, Universidad de Extremadura, Badajoz, Spain.ORCID https://orcid.org/0000-0003-4984-6691

Funding

Instituto de Salud Carlos III PI18/00745Instituto de Salud Carlos III PI22/00181Instituto de Salud Carlos III RD21/0005/0031Junta de Extremadura GR21026
6 · The paper itself

Abstract

aimsSerum creatinine and albuminuria are the core of most CKD prediction and progression risk models. Several biomarkers have been introduced to improve these results such as beta-2-microglobulin (B2M) and cystatin C (CysC). Nevertheless, few clinical comparisons of these biomarkers are available. We have compared serum B2M levels with albuminuria, CysC levels, and the CKD-EPI GFR equations. DESIGNS AND

methodsA sample of 434 patients were studied: 234 males and 200 females, the mean age was 58.3 ± 15.0 years, and 33.4% have diabetes mellitus. In all patients, plasma B2M, CysC, creatinine, and urinary albumin excretion were analyzed. EGFR was calculated using CKD-EPI equations for creatinine, CysC, and creatinine-CysC. The risk of death and CKD progression was evaluated using ROC curves and Cox proportional hazards survivorship models.

resultsFor mortality, the highest area under the curve (AUC) was for CysC (0.775, 0.676-0.875). The lowest sensitivity was shown by eGFR (creatinine) (0.298, 0.195-0.401, p < 0.001), eGFR (CysC) (0.216, 0.118-0.314, p < 0.001), and eGFR (creatinine + CysS) (0.218, 0.124-0.312, p < 0.001). For progression to advanced CKD, the highest AUC was for CysC (0.908, 0.862-0.954). The lowest sensitivity was shown by eGFR (creatinine) (0.184, 0.106-0.261, p < 0.001), eGFR (CysC) (0.095, 0.048-0.14, p < 0.001), and eGFR (creatinine+ CysC) (0.087, 0.040-0.134, p < 0.001). CysC, after age, was the second-best marker of life risk. Contrariwise, for CKD progression, CysC, and albuminuria were the best markers.

conclusionsThe best biomarker of mortality and risk of progression to CKD was CysC. Albuminuria and B2M were the next best options to be used. The lowest sensitivity was shown by estimated eGFR.

Indexed as

Albuminuriabeta 2-MicroglobulinCystatin CGlomerular Filtration RateRenal Insufficiency, ChronicAdultAgedBiomarkersCreatinineDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisROC Curvebeta 2-MicroglobulinBiomarkersCreatinineCystatin Calbuminuriabeta‐2‐microglobulinchronic kidney diseasecystatin Cglomerular filtration ratemortality

Identifiers

PMID39713962
PMCPMC11776497

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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.