Evidence map›Paper›PMID 29304176›Full record

ArticlePloS one2018

Prediction of delayed graft function and long-term graft survival by serum and urinary neutrophil gelatinase-associated lipocalin during the early postoperative phase after kidney transplantation.

Herbert Thomas Maier, Muhammad Imtiaz Ashraf, Christian Denecke, Sascha Weiss, Florian Augustin, Franka Messner, Natalie Vallant, Matthias Böcklein, Christian Margreiter, Georg Göbel and 3 more

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. A Statistical Prediction Model for Survival After Kidney Transplantation from Deceased Donors.Medical science monitor : international medical journal of experimental and clinical research · 2022
    Article
  8. Review
  9. Article
  10. Article
  11. Recent Advances on Biomarkers of Early and Late Kidney Graft Dysfunction.International journal of molecular sciences · 2020
    Review
  12. Article
  13. 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

13 authors.

Herbert Thomas MaierDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.ORCID 0000-0002-9455-4092
Muhammad Imtiaz AshrafDaniel-Swarovski-Research Laboratory, Innsbruck Medical University, Innsbruck, Austria.
Christian DeneckeDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Sascha WeissDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Florian AugustinDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Franka MessnerDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Natalie VallantDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Matthias BöckleinDaniel-Swarovski-Research Laboratory, Innsbruck Medical University, Innsbruck, Austria.
Christian MargreiterDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Georg GöbelDepartment of Medical Statistics, Informatics and Health Economics, Innsbruck Medical University, Innsbruck, Austria.
Johann PratschkeDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Dietmar Öfner-VelanoDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.
Felix AignerDepartment of Visceral, Transplant and Thoracic Surgery, Innsbruck Medical University, Innsbruck, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophil gelatinase-associated lipocalin (NGAL) has emerged as an early marker protein for kidney dysfunction in various clinical settings. In this prospective study we evaluated serial changes of serum and urinary NGAL within the first 7 days after kidney transplantation in 170 consecutive recipients. The main focus of this study was to assess the performance of serum and urinary NGAL in the prediction of delayed graft function (DGF) and two-year graft and patient survival. Serum and urine samples of 170 patients undergoing primary kidney transplantation from October 2010 to December 2012 were prospectively collected from day 0 to 7. NGAL was analyzed by ELISA. Multivariate regression models, receiver-operating characteristics (ROC), and areas under ROC curves (AUC) were used to identify predictors of DGF. DGF occurred in 52 patients (30.6%). Serum (AUC = 0.869) and urinary NGAL (AUC = 0.872) on postoperative day (POD) 2 could accurately predict DGF compared to serum creatinine (AUC = 0.619). Multivariate analyses revealed donor age, serum and urinary NGAL significantly associated with DGF (p<0.001). Recipient age was the only significant factor in a cox regression model influencing two-year graft and patient survival. In conclusion, serum and urinary NGAL are early predictors of DGF after kidney transplantation.

Indexed as

Delayed Graft FunctionGraft SurvivalKidney TransplantationAdultAgedEnzyme-Linked Immunosorbent AssayFemaleHumansLipocalin-2MaleMiddle AgedPostoperative PeriodProspective StudiesSurvival AnalysisLCN2 protein, humanLipocalin-2

Identifiers

PMID29304176
PMCPMC5755755

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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.