Trial reportPediatric nephrology (Berlin, Germany)2018
Impact of processing methods on urinary biomarkers analysis in neonates.
Trial report in Pediatric nephrology (Berlin, Germany), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01378273 (Preterm Erythropoietin Neuroprotection Trial), which is not on this map. Cited by 6 papers.
What it found
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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.
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.
Preterm Erythropoietin Neuroprotection Trial (PENUT Trial)
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Testing the waters: the potential of urinary proteomics in congenital diaphragmatic hernia and Tetralogy of Fallot.Pediatric research · 2026Article
- Urinary biomarkers of acute kidney injury in neonates < 25 weeks' gestation: a pilot study.Pediatric nephrology (Berlin, Germany) · 2026Article
- Comparison of clean catch and bag urine using LC-MS/MS proteomics in infants.Pediatric nephrology (Berlin, Germany) · 2024Article
- Premature infants born <28 weeks with acute kidney injury have increased bronchopulmonary dysplasia rates.Pediatric research · 2023Article
- Association between Elevated Urine Neutrophil Gelatinase-Associated Lipocalin and Postoperative Acute Kidney Injury in Neonates.The Journal of pediatrics · 2021Observational
- Changes in urinary kidney injury molecule-1 levels after blood transfusions in preterm infants.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundIn neonates, the validation of urinary biomarkers to diagnose acute kidney injury is a rapidly evolving field. The neonatal population poses unique challenges when assessing the collection, storage, and processing of urinary samples for biomarker analysis. Given this, establishing optimal and consistent sample processing in this population for meaningful use in ongoing clinical trials is important.
methodsUrine from a cohort of 19 hospitalized neonatal intensive care unit patients enrolled in the Preterm Erythropoietin Neuroprotection Trial (Clinical Trial NCT01378273) was collected for biomarker analysis by indirect techniques using Fisher-brand cotton balls placed in the diapers. Fourteen urinary biomarkers were measured using commercially available kits via electrochemiluminescence on multiarray plates and compared between paired samples processed with centrifugation prior to storage versus prior to analysis.
resultsNone of the biomarker concentrations differed between samples undergoing centrifugation prior to storage versus prior to analysis. The difference between samples was within 2% of the estimated concentration for the protein in 12 of 14 biomarkers (86%), and all paired biomarker concentrations were within 4%. The percentage error analysis did not show a difference between paired samples, with biomarker percentage errors smaller than the stated immunoassay coefficient of variance.
conclusionsThe urinary concentrations of biomarkers were comparable between paired samples, demonstrating that indirectly collected neonatal urine samples do not require centrifugation after collection and before storage. The ability to use routine urine collection and storage methods to obtain samples for subsequent quantitative immunoassay analysis should facilitate studies of newborns and young children.
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What OpenQuestion holds
Registered trials
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.