Evidence map›Paper›PMID 29896409›Full record

ArticleAging and disease2018

Urinary Neutrophil Gelatinase-Associated Lipocalin Is Excellent Predictor of Acute Kidney Injury in Septic Elderly Patients.

Erica Pires da Rocha, Lais Gabriela Yokota, Beatriz Motta Sampaio, Karina Zanchetta Cardoso Eid, Dayana Bitencourt Dias, Fernanda Moreira de Freitas, Andre Luis Balbi, Daniela Ponce

Open access · goldAbstract read
In one paragraph

Article in Aging and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.4field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Erica Pires da RochaUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Lais Gabriela YokotaUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Beatriz Motta SampaioUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Karina Zanchetta Cardoso EidUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Dayana Bitencourt DiasUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Fernanda Moreira de FreitasUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Andre Luis BalbiUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Daniela PonceUniversity Sao Paulo State-UNESP, Distrito de Rubiao Junior, without number, Botucatu, Sao Paulo, Brazil.
Universidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elderly is the main age group affected by acute kidney injury (AKI). There are no studies that investigated the predictive properties of urinary (u) NGAL as an AKI marker in septic elderly population. This study aimed to evaluate the efficacy of uNGAL as predictor of AKI diagnosis and prognosis in elderly septic patients admitted to ICUs. We prospectively studied elderly patients with sepsis admitted to ICUs from October 2014 to November 2015. Assessment of renal function was performed daily by serum creatinine and urine output. The level of uNGAL was performed within the first 48 hours of the diagnosis of sepsis (NGAL1) and between 48 and 96 hours (NGAL2). The results were presented using descriptive statistics and area under the receiver operating characteristic curve (AUC-ROC) and

Indexed as

acute kidney injurybiomarkerelderlyNGAL

Identifiers

PMID29896409
PMCPMC5963341
OpenAlexW2789362789

What OpenQuestion holds

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LicenceCC BY
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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.