Evidence map›Paper›PMID 31375084›Full record

SynthesisBMC nephrology2019

Comparison of urine and blood NGAL for early prediction of delayed graft function in adult kidney transplant recipients: a meta-analysis of observational studies.

Ya Mei Li, Yi Li, Lin Yan, Han Wang, Xiao Juan Wu, Jiang Tao Tang, Lan Lan Wang, Yun Ying Shi

Abstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in BMC nephrology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Role of novel biomarkers in kidney transplantation.World journal of transplantation · 2020
    Review
  16. Recent Advances on Biomarkers of Early and Late Kidney Graft Dysfunction.International journal of molecular sciences · 2020
    Review
  17. 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

8 authors.

Ya Mei LiDepartment of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yi LiDepartment of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Lin YanDepartment of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Han WangWest China School of Medicine, West China Hospital, Sichuan University, Chengdu, China.
Xiao Juan WuDepartment of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Jiang Tao TangDepartment of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Lan Lan WangDepartment of Laboratory Medicine/Research Centre of Clinical Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China. wanglanlanhx@163.com.
Yun Ying ShiDepartment of Nephrology, West China Hospital, Sichuan University, Chengdu, China. yyshi0130@163.com.ORCID 0000-0002-0601-1275

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNeutrophil gelatinase-assoicated lipocalin (NGAL) appears to be a promising proximal tubular injury biomarker for early prediction of delayed graft function (DGF) in kidney transplant recipients. However, its predictive values in urine and blood were varied among different studies. Here, we performed the meta-analysis to compare the predictive values of urine NGAL (uNGAL) and blood NGAL (bNGAL) for DGF in adult kidney transplant recipients.

methodsWe systematically searched Medline, Cochrane library and Embase for relevant studies from inception to May 2018. The summary receiver operating characteristic (SROC) curves, the pooled sensitivity, specificity and diagnostic odds ratio (DOR) were used to evaluate the prognostic performance of uNGAL and bNGAL for the identification of DGF.

resultsA total of 1036 patients from 14 eligible studies were included in the analysis. 8 studies focused on NGAL in urine and 6 reported NGAL in serum or plasma. The composite area under the ROC (AUC) for 24 h uNGAL was 0.91 (95% CI, 0.89-0.94) and the overall DOR for 24 h uNGAL was 24.17(95% CI, 9.94-58.75) with a sensitivity of 0.88 (95% CI, 0.75-0.94) and a specificity of 0.81 (95% CI, 0.68-0.89). The composite AUC for 24 h bNGAL was 0.95 (95% CI, 0.93-0.97) and the overall DOR for 24 h bNGAL was 43.11 (95% CI, 16.43-113.12) with a sensitivity of 0.91 (95% CI, 0.81-0.96) and a specificity of 0.86 (95% CI, 0.78-0.92).

conclusionsUrine and serum/plasma NGAL were valuable biomarkers for early identification of DGF in kidney transplantation. In addition, the bNGAL was superior to uNGAL in early prediction of DGF.

Indexed as

AdultArea Under CurveBiomarkersDelayed Graft FunctionHumansKidney TransplantationLipocalin-2Observational Studies as TopicPostoperative ComplicationsPredictive Value of TestsSensitivity and SpecificityBiomarkersLCN2 protein, humanLipocalin-2Delayed graft functionKidney transplantationNGALPredictive biomarker

Identifiers

PMID31375084
PMCPMC6679493

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Registered trials

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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.