Evidence map›Paper›PMID 26084617›Full record

ArticlePediatric nephrology (Berlin, Germany)2015

A predictive model of progressive chronic kidney disease in idiopathic nephrotic syndrome.

Ana Carmen Quaresma Mendonça, Eduardo Araújo Oliveira, Brunna Pinto Fróes, Lauro Damasceno Carvalho Faria, Juliana Silva Pinto, Maira Melo Ibrahim Nogueira, Gabriella Oliveira Lima, Priscila Isa Resende, Natália Silva Assis, Ana Cristina Simões E Silva and 1 more

Abstract read
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In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
  2. Review
  3. Nephrotic Syndrome: Current Management.Indian journal of pediatrics · 2026
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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

11 authors at 1 institution in 1 country.

Ana Carmen Quaresma MendonçaPediatric Nephrology Unit, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Eduardo Araújo OliveiraPediatric Nephrology Unit, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Brunna Pinto FróesPediatric Nephrology Unit, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Lauro Damasceno Carvalho FariaFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Juliana Silva PintoFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Maira Melo Ibrahim NogueiraFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Gabriella Oliveira LimaFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Priscila Isa ResendeFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Natália Silva AssisFaculty of Medicine, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Ana Cristina Simões E SilvaPediatric Nephrology Unit, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Sérgio Veloso Brant PinheiroPediatric Nephrology Unit, Federal University of Minas Gerais, Belo Horizonte, Brazil. svbpinheiro@gmail.com.
Universidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere are limited data on the risk factors for chronic kidney disease (CKD) in children with idiopathic nephrotic syndrome (INS). This retrospective cohort study aimed to develop a predictive model for CKD progression in children with INS.

methodsBetween 1970 and 2012, a total of 294 patients with INS were followed up. The primary outcome was progression to CKD stage 3 or higher. A predictive model was developed using a Cox proportional hazards model. A score was calculated using b-coefficients and summing up points assigned to each significant variable. Prognostic score was grouped into categories: low risk, medium risk, and high risk.

resultsMedian follow-up was 6.9 years. Median renal survival was 26.1 years and probability of CKD stage 3 or higher was 8% in 10 years. Multivariate analysis showed that the most accurate model included initial age, hematuria, and steroid resistance. Accuracy was high with a c-statistic of 0.95 (95% confidence interval [CI] 0.91-0.99), 0.92 (95% CI 0.88-0.96), and 0.92 (95% CI 0.87-0.97) at 2, 5, and 10 years of follow-up respectively. By survival analysis, 10-year renal survival was 100% for the low-risk and 95% for the medium-risk group, while 40% of high-risk patients would exhibit CKD stage 3 or higher (P < 0.001).

conclusionsOur predictive model of CKD may contribute to the early identification of a subgroup of INS patients at a high risk of renal dysfunction.

Indexed as

Models, StatisticalChildChild, PreschoolCohort StudiesDisease ProgressionFemaleHumansMaleNephrotic SyndromeRenal Insufficiency, ChronicRetrospective StudiesRisk FactorsChronic kidney diseaseEnd-stage renal diseaseFocal segmental glomerulosclerosisMinimal change nephrotic syndromeNephrotic syndromePredictive model

Identifiers

PMID26084617
OpenAlexW638566618

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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.