Evidence map›Paper›PMID 28884304›Full record

ArticleAnnals of intensive care2017

Cell-cycle arrest biomarkers in urine to predict acute kidney injury in septic and non-septic critically ill patients.

M Cuartero, J Ballús, J Sabater, X Pérez, N Nin, J Ordonez-Llanos, A J Betbesé

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  14. Evaluating NephrocheckInternational journal of nephrology and renovascular disease · 2020
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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

7 authors at 3 institutions in 1 country.

M CuarteroIntensive Care Department and Institut d'Investigacions Biomèdiques, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Quintí 89, 08041, Barcelona, Spain. mireia.cuartero@gmail.com.ORCID http://orcid.org/0000-0002-5928-543X
J BallúsIntensive Care Department, Hospital Universitari Bellvitge, Hospitalet de Llobregat, Universitat de Barcelona, Feixa Llarga, 08907, L'Hospitalet de Llobregat, Barcelona, Spain.
J SabaterIntensive Care Department, Hospital Universitari Bellvitge, Hospitalet de Llobregat, Universitat de Barcelona, Feixa Llarga, 08907, L'Hospitalet de Llobregat, Barcelona, Spain.
X PérezIntensive Care Department, Hospital Universitari Bellvitge, Hospitalet de Llobregat, Universitat de Barcelona, Feixa Llarga, 08907, L'Hospitalet de Llobregat, Barcelona, Spain.
N NinIntensive Care Department, Hospital Universitario de Getafe, Km 12500 Madrid - Toledo Road, 28905, Getafe, Madrid, Spain.
J Ordonez-LlanosBiochemistry Department and Institut d'Investigacions Biomèdiques, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Quintí 89, 08041, Barcelona, Spain.
A J BetbeséIntensive Care Department and Institut d'Investigacions Biomèdiques, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Sant Quintí 89, 08041, Barcelona, Spain.
Bellvitge University Hospital · ESUniversitat Autònoma de Barcelona · ESHospital Universitario de Getafe · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo analyse the usefulness of the composite index of the tissue inhibitor of metalloproteinases-2 (TIMP-2) and insulin-like growth factor-binding protein 7 (IGFBP7) as urinary biomarkers for the early prediction of AKI in septic and non-septic patients.

methodsThis is a prospective, observational study including patients admitted to ICU from acute care departments and hospital length of stay <48 h. The main exclusion criteria were pre-existing eGFR <30 mL/min/1.73 m

resultsThe sample included 98 patients. AKI incidence during ICU stay was 50%. Sepsis was diagnosed in 40.8%. Baseline renal variables were comparable between subgroups except for a higher baseline eGFR in non-septic patients. Patients were stratified based on the presence of AKI and their highest level of [TIMP-2]·[IGFBP7] within the first 12 h of stay. [TIMP-2]·[IGFBP7] index values were dependent on the incidence of AKI but not of sepsis. [TIMP-2]·[IGFBP7] values were significantly related to AKI severity according to AKIN criteria (p < 0.0001). The AUROC curve to predict AKI of the worst [TIMP-2]·[IGFBP7] index value was 0.798 (sensitivity 73.5%, specificity 71.4%, p < 0.0001). Index values below 0.8 ruled out any need for renal replacement (NPV 100%), whereas an index >0.8 predicted a rate of AKI of 71% and AKIN ≥ 2 of 62.9%.

conclusionsIn our study, urinary [TIMP-2]·[IGFBP7] was an early predictor of AKI in ICU patients regardless of sepsis. Besides, index values <0.8(ng/mL)

Indexed as

Acute kidney injuryBiomarkersICU patientsInsulin-like growth factor-binding protein 7SepsisTissue inhibitor of metalloproteinases-2

Identifiers

PMID28884304
PMCPMC5589717
OpenAlexW2752268598

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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.