Evidence map›Paper›PMID 35384606›Full record

SynthesisJournal of nephrology2022

Serum and urinary biomarkers to predict acute kidney injury in premature infants: a systematic review and meta-analysis of diagnostic accuracy.

Jenny Kuo, Lisa K Akison, Mark D Chatfield, Peter Trnka, Karen M Moritz

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
3.2field-weighted citation impact, top 7% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Neonatal acute kidney injury and the patent ductus arteriosus.Pediatric nephrology (Berlin, Germany) · 2026
    Review
  6. Review
  7. Neonatal acute kidney injury: where are we now?Pediatric nephrology (Berlin, Germany) · 2026
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Association Between Urinary Biomarkers and CKD in Extremely Low Gestational Age Neonates.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2024
    Article
  14. Urinary Concentration of Renal Biomarkers in Healthy Term Neonates: Gender Differences in GST-pi Excretion.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Article
  15. Gut microbiota and neonatal acute kidney injury biomarkers.Pediatric nephrology (Berlin, Germany) · 2023
    Review
  16. Article
  17. Lipid metabolism and renal function markers in obese adolescents.Pediatric endocrinology, diabetes, and metabolism · 2023
    Article
  18. Observational
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

5 authors at 1 institution in 1 country.

Jenny KuoChild Health Research Centre, The University of Queensland, South Brisbane, QLD, Australia.
Lisa K AkisonChild Health Research Centre, The University of Queensland, South Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-2667-3743
Mark D ChatfieldChild Health Research Centre, The University of Queensland, South Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-0004-6274
Peter TrnkaChild Health Research Centre, The University of Queensland, South Brisbane, QLD, Australia.ORCID http://orcid.org/0000-0002-5584-2622
Karen M MoritzChild Health Research Centre, The University of Queensland, South Brisbane, QLD, Australia. k.moritz@uq.edu.au.ORCID http://orcid.org/0000-0002-8085-0034
The University of Queensland · AU

Funding

Children's Hospital Foundation 50331National Health and Medical Research Council APP1078164
6 · The paper itself

Abstract

backgroundPremature infants are at high risk for acute kidney injury (AKI) and current diagnostic criteria are flawed. The objective of this study was to determine the diagnostic accuracy of urine and serum biomarkers not currently used in routine clinical practice to predict AKI in premature infants.

methodA systematic review was performed that followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses of Diagnostic Test Accuracy Studies (PRISMA-DTA). Data were extracted on the diagnostic accuracy of AKI biomarkers using serum creatinine or urine output as the reference standard. Quality and validity were assessed using modified Standards for Reporting Diagnostic Accuracy (STARD) criteria.

resultsWe identified 1024 articles, with 15 studies (791 infants) eligible for inclusion. Twenty-seven biomarkers were identified including serum cystatin C and urinary neutrophil gelatinase-associated lipocalin (uNGAL), osteopontin, kidney injury molecule-1, epidermal growth factor, and protein S100-P. However, many were only reported by one study each. A meta-analysis could only be conducted on uNGAL (288 infants from 6 studies) using a hierarchical, random-effects logistic-regression model. uNGAL had a summary sensitivity of 77% (95% CI 58-89%), specificity of 76% (95% CI 57-88%) and AUC-SROC of 0.83 (95% CI 0.80-0.86) for the diagnosis of AKI. By utilising uNGAL, the post-test probability of AKI increased to 52% (95% CI 37-66%) with a positive test and decreased to 9% (95% CI 5-16%) with a negative test if the pre-test probability was 25%.

conclusionuNGAL shows promise as a diagnostically accurate biomarker for AKI in premature infants.

Indexed as

Acute Kidney InjuryCystatin CBiomarkersCreatinineEGF Family of ProteinsHumansInfantInfant, NewbornInfant, PrematureLipocalin-2OsteopontinBiomarkersCreatinineCystatin CEGF Family of ProteinsLipocalin-2OsteopontinPaediatricSerum creatinineSerum cystatin CUrinary NGAL

Identifiers

PMID35384606
PMCPMC9584850
OpenAlexW4225710846

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.