Evidence map›Paper›PMID 27605390›Full record

Observational studyScientific reports2016

Impact of clinical context on acute kidney injury biomarker performances: differences between neutrophil gelatinase-associated lipocalin and L-type fatty acid-binding protein.

Toshifumi Asada, Rei Isshiki, Naoki Hayase, Maki Sumida, Ryota Inokuchi, Eisei Noiri, Masaomi Nangaku, Naoki Yahagi, Kent Doi

Open access · goldAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 24% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Review
  11. Observational
  12. Article
  13. Article
  14. Review
  15. 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

9 authors at 2 institutions in 1 country.

Toshifumi AsadaDepartment of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan.
Rei IsshikiDepartment of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
Naoki HayaseDepartment of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan.
Maki SumidaDepartment of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
Ryota InokuchiDepartment of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan.
Eisei NoiriDepartment of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
Masaomi NangakuDepartment of Nephrology and Endocrinology, The University of Tokyo, Tokyo, Japan.
Naoki YahagiDepartment of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan.
Kent DoiDepartment of Emergency and Critical Care Medicine, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPJapan International Cooperation Agency · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Application of acute kidney injury (AKI) biomarkers with consideration of nonrenal conditions and systemic severity has not been sufficiently determined. Herein, urinary neutrophil gelatinase-associated lipocalin (NGAL), L-type fatty acid-binding protein (L-FABP) and nonrenal disorders, including inflammation, hypoperfusion and liver dysfunction, were evaluated in 249 critically ill patients treated at our intensive care unit. Distinct characteristics of NGAL and L-FABP were revealed using principal component analysis: NGAL showed linear correlations with inflammatory markers (white blood cell count and C-reactive protein), whereas L-FABP showed linear correlations with hypoperfusion and hepatic injury markers (lactate, liver transaminases and bilirubin). We thus developed a new algorithm by combining urinary NGAL and L-FABP with stratification by the Acute Physiology and Chronic Health Evaluation score, presence of sepsis and blood lactate levels to improve their AKI predictive performance, which showed a significantly better area under the receiver operating characteristic curve [AUC-ROC 0.940; 95% confidential interval (CI) 0.793-0.985] than that under NGAL alone (AUC-ROC 0.858, 95% CI 0.741-0.927, P = 0.03) or L-FABP alone (AUC-ROC 0.837, 95% CI 0.697-0.920, P = 0.007) and indicated that nonrenal conditions and systemic severity should be considered for improved AKI prediction by NGAL and L-FABP as biomarkers.

Indexed as

Acute Kidney InjuryAgedArea Under CurveBiomarkersC-Reactive ProteinCritical IllnessFatty Acid-Binding ProteinsFemaleHumansIntensive Care UnitsLactic AcidLeukocyte CountLipocalin-2MaleMiddle AgedProspective StudiesBiomarkersC-Reactive ProteinFABP1 protein, humanFatty Acid-Binding ProteinsLactic AcidLCN2 protein, humanLipocalin-2

Identifiers

PMID27605390
PMCPMC5015077
OpenAlexW2510753472

What OpenQuestion 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 OpenQuestion graph.