Evidence map›Paper›PMID 39464243›Full record

ArticleOman medical journal2024

Role of Serum and Urine Neutrophil Gelatinase-associated Lipocalin as Biomarkers for Assessing Graft Function in Kidney Transplant Recipients.

Shankar Prasad Nagaraju, Shilna Muttickal Swaminathan, Shruti Bhattacharya, Ravindra Prabhu Attur, Dharshan Rangaswamy, Indu Ramachandra Rao, Srinivas Vinayak Shenoy, Mohan Varadanayakanahalli Bhojaraja

Abstract read
In one paragraph

Article in Oman medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shankar Prasad NagarajuDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Shilna Muttickal SwaminathanDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Shruti BhattacharyaDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Ravindra Prabhu AtturDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Dharshan RangaswamyDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Indu Ramachandra RaoDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Srinivas Vinayak ShenoyDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.
Mohan Varadanayakanahalli BhojarajaDepartment of Nephrology Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The existing biomarkers used to promptly identify graft dysfunction after kidney transplantation lack consistency. Neutrophil gelatinase-associated lipocalin (NGAL) appears to be a promising biomarker but its levels measured from serum and urine have demonstrated varying predictive values. Our study aimed to explore the potential of NGAL as a biomarker in predicting graft dysfunction in kidney transplant patients, including live and deceased donor recipients. Methods: A single-centered observational cohort study with live and deceased kidney recipients as participants was conducted between 2018 and 2022 at a tertiary care hospital in Southern India. Serum creatinine levels were monitored daily; creatinine reduction on day two and day seven were calculated. The recipients were categorized based on graft recovery into three groups: delayed graft function (DGF), slow graft function (SGF), or immediate graft function (IGF). Analysis of serum and urine NGAL was conducted two hours after the transplant and their predictive values were evaluated by the area under the curves (AUC) method. Results: Of the 40 participants, 34 (85.0%) received their transplant from live-related donors, while six (15.0%) received kidneys from deceased donors. DGF occurred in four (10.0%) patients, SGF in 12 (30.0%), and 24 (60.0%) patients achieved IGF. Serum NGAL demonstrated higher sensitivity compared to urine NGAL. At a cut-off value of 678 ng/mL (AUC = 0.77), serum NGAL showed 90.0% sensitivity and 53.0% specificity. Urine NGAL had 70.0% sensitivity and 74.0% specificity at a cut-off value of 489 ng/mL (AUC = 0.72). Conclusions: Kidney recipients in SGF and DGF categories had elevated levels of serum and urine NGAL compared to those without IGF. Although serum NGAL showed higher sensitivity than urine NGAL in predicting graft dysfunction, both markers lacked the specificity needed for accurate predictions.

Indexed as

BiomarkerDelayed Graft FunctionIndiaKidney TransplantationNGAL Protein

Identifiers

PMID39464243
PMCPMC11512701

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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.