Evidence map›Paper›PMID 23179197›Full record

ArticlePediatric nephrology (Berlin, Germany)2013

Prediction of steroid-sparing agent use in childhood idiopathic nephrotic syndrome.

Jérôme Harambat, Astrid Godron, Sandrine Ernould, Claire Rigothier, Brigitte Llanas, Sandrine Leroy

Abstract read
PubMed Publisher
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Machine learning prediction of childhood nephrotic syndrome outcomes.Pediatric nephrology (Berlin, Germany) · 2026
    Observational
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors at 2 institutions in 2 countries.

Jérôme HarambatService de Pédiatrie, Centre de référence Maladies Rénales Rares du Sud Ouest, Centre Hospitalier Universitaire de Bordeaux, Place Amélie Raba Léon, 33076, Bordeaux, France. jerome.harambat@chu-bordeaux.fr
Astrid Godron
Sandrine Ernould
Claire Rigothier
Brigitte Llanas
Sandrine Leroy
Centre Hospitalier Universitaire de Bordeaux · FRInstitut Pasteur · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbout half of children with steroid-sensitive idiopathic nephrotic syndrome (INS) will develop steroid dependency or a frequently relapsing course requiring steroid-sparing agents (SSA). Because of the adverse effects of prolonged steroid treatment, the early identification of children at high risk of requiring SSA may be a useful diagnostic tool to tailor the therapeutic strategy. The aim of this study was to identify predictors of the need for SSA and derive a predictive model.

methodsThis was a retrospective hospital-based cohort study which included all children with steroid-responsive INS followed for at least 4.5 months. Cox regression modeling and decision curve analysis were performed.

resultsA total of 120 children (81 boys) with INS were included and followed up for a median time of 6.7 (range 0.4-24.1) years. Median age at diagnosis was 3.4 years. Seventy-two (60 %) children required a SSA after a median time of 10 months following initial diagnosis. Male children, age at disease onset, methylprednisolone pulse use, and time to achieve first remission were significantly associated with the outcome. Time to achieve remission only remained significant after adjustment: hazard ratio (HR) =1.9 [95 % confidence interval (CI) 1.5-2.5] if considered as a continuous variable, and HR=4.1 (95 % CI 1.9-8.6) when dichotomized using the 9-day threshold. The area under the receiver operating curve of the related predictive model was 0.81 (95 % CI 0.74-0.89), and the decision curve analysis demonstrated that this model performed better than any other strategy.

conclusionsTime to first remission is a strong predictor of the need for SSA in pediatric INS. Further prospective and impact studies are warranted to confirm the accuracy and benefit of our prediction model.

Indexed as

Drug SubstitutionAdolescentArea Under CurveChildChild, PreschoolDecision Support TechniquesDisease-Free SurvivalFemaleHospitals, UniversityHumansImmunosuppressive AgentsInfantKaplan-Meier EstimateMaleMultivariate AnalysisNephrotic SyndromeImmunosuppressive AgentsSteroids

Identifiers

PMID23179197
OpenAlexW2049035335

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.