Evidence map›Paper›PMID 28643487›Full record

ArticleAnnals of laboratory medicine2017

Proenkephalin, Neutrophil Gelatinase-Associated Lipocalin, and Estimated Glomerular Filtration Rates in Patients With Sepsis.

Hanah Kim, Mina Hur, Seungho Lee, Rossella Marino, Laura Magrini, Patrizia Cardelli, Joachim Struck, Andreas Bergmann, Oliver Hartmann, Salvatore Di Somma and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Annals of laboratory medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 5 pooled it
5.7field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 5 syntheses or guidelines pooled it, 75 citations in OpenAlex.

  1. Pooled it
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  6. Article
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  11. Current and novel biomarkers in cardiogenic shock.European journal of heart failure · 2025
    Review
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  13. Article
  14. Article
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  16. Assessing GFR With Proenkephalin.Kidney international reports · 2023
    Article
  17. Observational
  18. Article
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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

11 authors at 3 institutions in 2 countries.

Hanah KimDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea.
Mina HurDepartment of Laboratory Medicine, Konkuk University School of Medicine, Seoul, Korea. dearmina@hanmail.net.
Seungho LeeSchool of Public Health, Seoul National University, Seoul, Korea.
Rossella MarinoDepartment of Medical-Surgery Sciences and Translational Medicine, School of Medicine and Psychology, 'Sapienza' University, Sant'Andrea Hospital, Rome, Italy.
Laura MagriniDepartment of Medical-Surgery Sciences and Translational Medicine, School of Medicine and Psychology, 'Sapienza' University, Sant'Andrea Hospital, Rome, Italy.
Patrizia CardelliDepartment of Clinical Molecular Medicine, School of Medicine and Psychology, 'Sapienza' University, Sant'Andrea Hospital, Rome, Italy.
Joachim StruckSphingotec GmbH, Hennigsdorf, Germany.
Andreas BergmannSphingotec GmbH, Hennigsdorf, Germany.
Oliver HartmannSphingotec GmbH, Hennigsdorf, Germany.
Salvatore Di SommaDepartment of Medical-Surgery Sciences and Translational Medicine, School of Medicine and Psychology, 'Sapienza' University, Sant'Andrea Hospital, Rome, Italy. salvatore.disomma@uniroma1.it.
GREAT Network
Azienda Ospedaliera Sant'Andrea · ITKonkuk University · KRSeoul National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProenkephalin (PENK) has been suggested as a novel biomarker for kidney function. We investigated the diagnostic and prognostic utility of plasma PENK in comparison with neutrophil gelatinase-associated lipocalin (NGAL) and estimated glomerular filtration rates (eGFR) in septic patients.

methodsA total of 167 septic patients were enrolled: 99 with sepsis, 37 with septic shock, and 31 with suspected sepsis. PENK and NGAL concentrations were measured and GFR was estimated by using the isotope dilution mass spectrometry traceable-Modification of Diet in Renal Disease (MDRD) Study and three Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations: CKD-EPI(Cr), CDK-EPI(CysC), and CKD-EPI(Cr-CysC). The PENK, NGAL, and eGFR results were compared according to sepsis severity, presence or absence of acute kidney injury (AKI), and clinical outcomes.

resultsThe PENK, NGAL, and eGFR results were significantly associated with sepsis severity and differed significantly between patients with and without AKI only in the sepsis group (all P<0.05). PENK was superior to NGAL in predicting AKI (P=0.022) and renal replacement therapy (RRT) (P=0.0085). Regardless of the variable GFR category by the different eGFR equations, PENK showed constant and significant associations with all eGFR equations. Unlike NGAL, PENK was not influenced by inflammation and predicted the 30-day mortality.

conclusionsPENK is a highly sensitive and objective biomarker of AKI and RRT and is useful for prognosis prediction in septic patients. With its diagnostic robustness and predictive power for survival, PENK constitutes a promising biomarker in critical care settings including sepsis.

Indexed as

Acute Kidney InjuryAgedArea Under CurveBiomarkersEnkephalinsFemaleGlomerular Filtration RateHumansImmunoassayLipocalin-2MaleMass SpectrometryMiddle AgedPrognosisProtein PrecursorsReagent Kits, DiagnosticBiomarkersEnkephalinsLCN2 protein, humanLipocalin-2proenkephalinProtein PrecursorsReagent Kits, DiagnosticAcute kidney injuryGlomerular filtration rateNeutrophil gelatinase-associated lipocalinProenkephalinSepsis

Identifiers

PMID28643487
PMCPMC5500737
OpenAlexW2664748900

What OpenQuestion holds

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LicenceCC BY-NC
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.