Evidence map›Paper›PMID 28755073›Full record

ArticlePediatric nephrology (Berlin, Germany)2017

Urinary biomarkers of cell cycle arrest are delayed predictors of acute kidney injury after pediatric cardiopulmonary bypass.

Liqun Dong, Qing Ma, Michael Bennett, Prasad Devarajan

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Pediatric nephrology (Berlin, Germany), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 4 pooled it
3.9field-weighted citation impact, top 6% 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

31 citing papers in PubMed, 4 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Biomarkers of acute kidney injury in pediatric cardiac surgery.Pediatric nephrology (Berlin, Germany) · 2022
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Review
  8. Review
  9. Early Diagnosis of Pediatric Acute Kidney Injury: An Achievable Goal?Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
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  15. Article
  16. Review
  17. Involvement of Inflammasome Components in Kidney Disease.Antioxidants (Basel, Switzerland) · 2022
    Review
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Liqun DongNephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Qing MaNephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Michael BennettNephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Prasad DevarajanNephrology and Hypertension, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA. prasad.devarajan@cchmc.org.
University of Cincinnati · USCincinnati Children's Hospital Medical Center · US

Funding

Proteomics CoreP50DK096418 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI DEVARAJAN, PRASAD · 2012 to 2021
$8.4M
NIDDK NIH HHS P50 DK096418
6 · The paper itself

Abstract

backgroundSeveral novel biomarkers that predict acute kidney injury (AKI) have recently been proposed. We have evaluated the sequential patterns of biomarker elevation after pediatric cardiopulmonary bypass (CPB) and determined their diagnostic accuracy.

methodsWe measured the ability of neutrophil gelatinase-associated lipocalin (NGAL), interleukin-18 (IL-18), liver type fatty-acid binding protein (L-FABP), kidney injury molecule-1 (KIM-1), tissue inhibitor of metalloproteinase-2 (TIMP-2), and insulin-like growth factor binding protein 7 (IGFBP7), to predict AKI (≥50% increase in serum creatinine from baseline). Areas under the receiver-operator characteristic curves (AUCs) were calculated for each biomarker and for various biomarker combinations at multiple time points after CPB.

resultsOf 150 patients examined, AKI had developed in 50 patients by 24 h after CPB, with an elevated NGAL concentration first noted at 2 h post-CPB, increases in IL-18, L-FABP, and the product of TIMP-2 and IGFBP7 first noted at 6 h, and an elevated KIM-1 level noted at 12 h. At each time point, urine NGAL remained the marker with the highest predictive ability (AUC > 0.9). The addition of any other biomarker did not increase the predictive accuracy of NGAL alone at 2 and 6 h. At 12 h, when compared to NGAL alone, the combination of NGAL, IL-18, and TIMP2 improved the AUC for AKI prediction (from 0.938 to 0.973).

conclusionsWhile urine NGAL remains a superior stand-alone test at the 2 and 6 h time points after pediatric CPB, a panel of carefully selected biomarkers may prove optimal at later time points.

Indexed as

Cell Cycle CheckpointsAcute Kidney InjuryArea Under CurveBiomarkersCardiopulmonary BypassCase-Control StudiesChildChild, PreschoolCreatinineEnzyme-Linked Immunosorbent AssayFatty Acid-Binding ProteinsFemaleHepatitis A Virus Cellular Receptor 1HumansInfantInsulin-Like Growth Factor Binding ProteinsBiomarkersCreatinineFABP1 protein, humanFatty Acid-Binding ProteinsHAVCR1 protein, humanHepatitis A Virus Cellular Receptor 1IL18 protein, humaninsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding ProteinsInterleukin-18LCN2 protein, humanLipocalin-2TIMP2 protein, humanTissue Inhibitor of Metalloproteinase-2Acute kidney injuryAcute renal failureBiomarkersCardiac surgeryNeutrophil gelatinase-associated lipocalin

Identifiers

PMID28755073
PMCPMC7441589
OpenAlexW2741441199

What OpenQuestion holds

Textmetadata
LicenceTDM
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.