Evidence map›Paper›PMID 26030716›Full record

ArticlePloS one2015

Clinical impact of kidney function on presepsin levels.

Takanobu Nagata, Yoshinari Yasuda, Masahiko Ando, Tomoko Abe, Takayuki Katsuno, Sawako Kato, Naotake Tsuboi, Seiichi Matsuo, Shoichi Maruyama

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04840940 (Presepsin as an Early Biomarker for Ventilator-associated Pneumonia), which is not on this map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
7.4field-weighted citation impact, top 2% 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.

NCT04840940 unknown statusnot on this mapstarted 2020, after this paper: background citation

Presepsin as an Early Biomarker for Ventilator-associated Pneumonia (VAP) Diagnosis in COVID-19 Patients: a Prospective Double Blind Observational Study

TypeobservationalSponsorSan Luigi Gonzaga HospitalRan2020 to 2021Enrolled50ConditionsVentilator Associated Pneumonia, Covid19
3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 134 citations in OpenAlex.

  1. Pooled it
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  4. Evaluation of presepsin dynamics in septic patients with and without liver cirrhosis.Journal of critical care medicine (Universitatea de Medicina si Farmacie din Targu-Mures) · 2026
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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

9 authors at 2 institutions in 1 country.

Takanobu NagataDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoshinari YasudaDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Masahiko AndoCenter for Advanced Medicine and Clinical Research, Nagoya University Hospital, Nagoya, Japan.
Tomoko AbeDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Takayuki KatsunoDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Sawako KatoDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Naotake TsuboiDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Seiichi MatsuoDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Shoichi MaruyamaDepartment of Nephrology, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nagoya University · JPNagoya University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePresepsin is highlighted as a diagnostic and prognostic marker of sepsis. Little information is available regarding the accurate association between presepsin levels and the degree of kidney function. We analyzed presepsin levels in patients with a glomerular filtration rate (GFR) in the categories G1 to G5, evaluated via inulin renal clearance test, and receiving hemodialysis (HD).

methodsPatients who were not receiving HD were included if they had undergone inulin renal clearance measurements for the accurate measurement of GFR (measured GFR), and patients who were receiving hemodialysis (HD) were included if they had anuria. Exclusion criteria were infection, cancer, liver disease, autoimmune disorders, or steroid or immunosuppressant use. GFR category was defined as follows; G1: GFR ≥ 90 ml/min/1.73 m2, G2: GFR = 60 to 90 ml/min/1.73 m2, G3: GFR = 30 to 60 ml/min/1.73 m2, G4: GFR = 15 to 30 ml/min/1.73 m2, G5: GFR ≤ 15 ml/min/1.73 m2.

resultsSeventy-one patients were included. The median (IQR) presepsin values of patients in each GFR category were as follows: G1 + G2: 69.8 (60.8-85.9) pg/ml; G3: 107.0 (68.7-150.0) pg/ml; G4: 171.0 (117.0-200.0) pg/ml; G5: 251.0 (213.0-297.5) pg/ml; and HD: 1160.0 (1070.0-1400.0) pg/ml. The log-transformed presepsin values, excluding patients receiving HD, inversely correlated with the measured GFR (Pearson's correlation coefficient = -0.687, P < 0.001). The multivariate analysis revealed that measured GFR and hemoglobin levels significantly correlated with elevated presepsin levels.

conclusionPresepsin levels were markedly high in patients receiving HD, similar to values seen in patients with severe sepsis or septic shock. In patients who were not receiving HD, presepsin levels increased as GFR decreased. Thus, the evaluation of presepsin levels in patients with chronic kidney disease requires further consideration, and a different cutoff value is needed for diagnosing sepsis in such patients.

Indexed as

AgedBiomarkersCross-Sectional StudiesFemaleGlomerular Filtration RateHumansKidney Function TestsLipopolysaccharide ReceptorsMaleMiddle AgedPeptide FragmentsRenal DialysisRenal Insufficiency, ChronicRetrospective StudiesSepsisBiomarkersLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, human

Identifiers

PMID26030716
PMCPMC4451771
OpenAlexW566348055

What OpenQuestion holds

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LicenceCC BY
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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.