Evidence map›Paper›PMID 41350644›Full record

ArticleBMC nephrology2025

External validation, recalibration, and clinical utility of the kidney failure risk equation in patients with advanced CKD: a nationwide retrospective cohort analysis in Peru.

Jessica Ivonne Bravo-Zúñiga, Percy Soto-Becerra, Edgar Juan Coila-Paricahua, Ricardo Chávez-Gómez, Eduardo Pérez-Tejada, Anselma Victoria Pardo-Villafranca, Lizbeth Carmen Arce-Gallo, Daysi Diaz-Obregón

Abstract readValidation Study
In one paragraph

Article in BMC nephrology, 2025. 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
–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

1 citing paper in PubMed.

  1. 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

8 authors.

Jessica Ivonne Bravo-Zúñiga *Nephrology Department, Hospital Edgardo Rebagliati Martins, EsSalud, Lima, Perú.ORCID 0000-0003-2528-6271
Percy Soto-Becerra *Centro de Innovación e Investigación Traslacional en Salud, Universidad Privada del Norte, Av. Tingo María 1122, Cercado de Lima, Peru. percy.soto@upn.edu.pe.ORCID 0000-0001-5332-9254
Edgar Juan Coila-ParicahuaCentro de Investigación en Salud Pública, Universidad San Martín de Porres and at Instituto de Evaluación de Tecnologías en Salud e Investigación - IETSI, EsSalud, Lima, Perú.ORCID 0000-0001-5372-6110
Ricardo Chávez-GómezNephrology Department, Hospital Edgardo Rebagliati Martins, EsSalud, Lima, Perú.ORCID 0000-0003-4919-0098
Eduardo Pérez-TejadaNational Center of Renal Health, EsSalud, Lima, Perú.ORCID 0000-0002-0019-9625
Anselma Victoria Pardo-VillafrancaNational Center of Renal Health, EsSalud, Lima, Perú.ORCID 0009-0005-8910-4934
Lizbeth Carmen Arce-GalloNational Center of Renal Health, EsSalud, Lima, Perú.ORCID 0009-0007-1319-5002
Daysi Diaz-ObregónFacultad de Salud Pública y Administración, Universidad Peruana Cayetano Heredia, Lima, Perú.ORCID 0000-0003-4878-5399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Kidney Failure Risk Equation (KFRE) is widely used for predicting kidney failure, but its external validity in Latin America is limited. A previous study in Peru found that KFRE was miscalibrated but did not evaluate its recalibration or clinical utility.

methodsWe conducted a retrospective cohort study using data from EsSalud's Renal Health Surveillance Program (2013-2022), including 30,031 patients with chronic kidney disease (CKD) stages G3-4. Kidney failure was defined by dialysis initiation or nephrologist-confirmed end-stage renal disease. Calibration was assessed using observed-to-expected (O/E) ratios and differences, calibration slope, and intercept, while discrimination was evaluated using the concordance index (C-index). Recalibrated models were developed, and decision curve analysis (DCA) was performed to evaluate clinical utility.

resultsThe original KFRE demonstrated good discrimination (C-index: 0.88 at 2 years, 0.85 at 5 years) but poor calibration in-the-large: O/E ratios indicated mean underestimation of risk at 2 years (O/E ratio: 1.84) and a slight mean overestimation at 5 years (O/E ratio: 1.06). Original KFRE also had poor weak (slope: 0.58) and poor moderate calibration. Recalibrated models improved calibration in-the-large, but none achieved good weak (all slope < 1) and moderate calibration. However, DCA showed a higher net benefit for KFRE-based nephrology referrals (in original and recalibrated by method D) compared to Peruvian and international guidelines, especially over a 5-year horizon.

conclusionsDespite miscalibration, KFRE remains valuable for guiding nephrology referrals in Peru, with recalibrated models offering potential improvements. This is the first study in Latin America to rigorously assess the clinical utility of KFRE. CLINICAL TRIAL NUMBER: Not applicable. This study is not a clinical trial.

Indexed as

Kidney Failure, ChronicRenal InsufficiencyRenal Insufficiency, ChronicAdultAgedCalibrationFemaleGlomerular Filtration RateHumansMaleMiddle AgedPeruRetrospective StudiesRisk AssessmentChronic kidney diseaseClinical utilityDecision curve analysisExternal validationKidney failure risk equationPeru

Identifiers

PMID41350644
PMCPMC12679749

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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.