Evidence map›Paper›PMID 42761708›Full record

ArticleSaudi medical journal2026

Plasma VGF as a Predictive Biomarker for Early Acute Kidney Injury in Critically Ill Elderly Patients:

XianYang Guo, Yu Hao, RuJie Chenn, BenJi Wang, ShengWei Jin

Abstract read
In one paragraph

Article in Saudi medical journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

XianYang GuoDepartment of Critical Care Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang Province, China.ORCID 0000-0002-0634-0917
Yu HaoDepartment of Critical Care Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang Province, China.ORCID 0000-0002-8351-1206
RuJie ChennDepartment of Critical Care Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang Province, China.ORCID 0009-0001-6274-9223
BenJi WangDepartment of Critical Care Medicine, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang Province, China.ORCID 0000-0002-7638-8166
ShengWei JinDepartment of Anesthesia and Critical Care, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Zhejiang Province, China.ORCID 0000-0002-4734-8114

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To assess whether VGF nerve growth factor inducible (VGF) can serve as a reliable predictor of acute kidney injury (AKI) among patients requiring intensive care. Methods: We first conducted a Mendelian randomization (MR) analysis to explore the potential causal link between plasma VGF levels and AKI risk. Subsequently, 128 critically ill individuals admitted to our intensive care unit were prospectively enrolled. Within 24 hours of either hospital admission or clinical decline, both blood and urine specimens were obtained. We measured VGF concentrations in plasma and urine, along with plasma cystatin C (pCysC), plasma and urinary neutrophil gelatinase-associated lipocalin (NGAL), and urinary N-acetyl-β-D-glucosaminidase (NAG). Kidney function was assessed using serum creatinine and hourly urine output. Receiver operating characteristic (ROC) curve analysis was employed to evaluate each biomarker 's predictive capacity for AKI. Results: The inverse-variance weighted (IVW) method revealed a statistically significant positive association between plasma VGF levels and AKI development. The area under the ROC curve (AUC) values for individual markers were as follows: pVGF (0.651), uVGF (0.483), pCysC (0.750), pNGAL (0.804), uNGAL (0.803), and uNAG (0.632). When pVGF, pCysC, and pNGAL were combined, the AUC increased to 0.861, indicating substantially better predictive performance than any single biomarker. Conclusions: Plasma VGF shows promise as a predictive biomarker for AKI in critically ill populations. Its diagnostic utility is considerably strengthened when measured alongside pCysC and pNGAL.

Indexed as

Acute Kidney InjuryCritical IllnessNerve Growth FactorsAgedBiomarkersCystatin CFemaleHumansMaleMendelian Randomization AnalysisProspective StudiesBiomarkersCystatin CNerve Growth FactorsAcute kidney injuryCritically illElderlyMendelian randomizationVGF

Identifiers

PMID42761708
PMCPMC13588299

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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.