Evidence map›Paper›PMID 34526025›Full record

Observational studyWorld journal of surgical oncology2021

Skin autofluorescence as a novel predictor of acute kidney injury after liver resection.

Maciej Krasnodębski, Karolina Grąt, Marcin Morawski, Jan Borkowski, Piotr Krawczyk, Andriy Zhylko, Michał Skalski, Piotr Kalinowski, Krzysztof Zieniewicz, Michał Grąt

Abstract readObservational Study
In one paragraph

Observational study in World journal of surgical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Maciej KrasnodębskiDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland. mwkrasn@gmail.com.ORCID http://orcid.org/0000-0002-6234-615X
Karolina GrątSecond Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland.
Marcin MorawskiDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Jan BorkowskiDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Piotr KrawczykDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Andriy ZhylkoDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Michał SkalskiDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Piotr KalinowskiDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Krzysztof ZieniewiczDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.
Michał GrątDepartment of General, Transplant and Liver Surgery, Medical University of Warsaw, Warsaw, Poland.

Funding

Narodowe Centrum Nauki (PL) 2017/26/D/NZ5/00733
6 · The paper itself

Abstract

backgroundSkin autofluorescence (SAF) reflects accumulation of advanced glycation end-products (AGEs). The aim of this study was to evaluate predictive usefulness of SAF measurement in prediction of acute kidney injury (AKI) after liver resection.

methodsThis prospective observational study included 130 patients undergoing liver resection. The primary outcome measure was AKI. SAF was measured preoperatively and expressed in arbitrary units (AU).

resultsAKI was observed in 32 of 130 patients (24.6%). SAF independently predicted AKI (p = 0.047), along with extent of resection (p = 0.019) and operative time (p = 0.046). Optimal cut-off for SAF in prediction of AKI was 2.7 AU (area under the curve [AUC] 0.611), with AKI rates of 38.7% and 20.2% in patients with high and low SAF, respectively (p = 0.037). Score based on 3 independent predictors (SAF, extent of resection, and operative time) well stratified the risk of AKI (AUC 0.756), with positive and negative predictive values of 59.3% and 84.0%, respectively. In particular, SAF predicted AKI in patients undergoing major and prolonged resections (p = 0.010, AUC 0.733) with positive and negative predictive values of 81.8%, and 62.5%, respectively.

conclusionsAGEs accumulation negatively affects renal function in patients undergoing liver resection. SAF measurement may be used to predict AKI after liver resection, particularly in high-risk patients.

Indexed as

Acute Kidney InjuryGlycation End Products, AdvancedBiomarkersHumansLiverPrognosisSkinBiomarkersGlycation End Products, AdvancedAcute kidney injuryLiver resectionSkin autofluorescence

Identifiers

PMID34526025
PMCPMC8444415

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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.