Evidence map›Paper›PMID 35812272›Full record

ArticleKidney international reports2022

Urinary Trace Elements Are Biomarkers for Early Detection of Acute Kidney Injury.

David S Gardner, Jennifer C Allen, Deborah Goodson, Daniel Harvey, Andrew Sharman, Henry Skinner, Adam Szafranek, John S Young, Elizabeth H Bailey, Mark A J Devonald

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2022. 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
2.9field-weighted citation impact, top 8% of its field
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, 22 citations in OpenAlex.

  1. Review
  2. [Establishment of a Noninvasive Diagnostic Model for Wilson Disease Using Metallomics and Machine Learning].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2026
    Article
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  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
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  11. Review
  12. Article
  13. Trace Metaluria as a Biomarker of Acute Kidney Injury.Kidney international reports · 2022
    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 at 4 institutions in 1 country.

David S GardnerFaculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
Jennifer C AllenFaculty of Medicine and Health Sciences, School of Veterinary Medicine and Science, University of Nottingham, Nottingham, UK.
Deborah GoodsonRenal and Transplant Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Daniel HarveyCritical Care Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Andrew SharmanCritical Care Unit, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Henry SkinnerTrent Cardiac Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK.
Adam SzafranekTrent Cardiac Centre, Nottingham University Hospitals NHS Trust, Nottingham, UK.
John S YoungNational Horizons Centre, Teesside University, Middlesbrough, UK.
Elizabeth H BaileySchool of Biosciences, University of Nottingham, Nottingham, UK.
Mark A J DevonaldRenal and Transplant Unit, Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK.
Nottingham University Hospitals NHS Trust · GBUniversity of Nottingham · GBTeesside University · GBUniversity of Liverpool · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acute kidney injury (AKI) is common in hospitalized patients and associated with poor outcomes. Current methods for identifying AKI (rise in serum creatinine [sCr] or fall in urine output [UO]) are inadequate and delay detection. Early detection of AKI with easily measurable biomarkers might improve outcomes by facilitating early implementation of AKI care pathways. Methods: From a porcine model of AKI, we identified trace elements (TEs) in urine that were associated with subsequent development of AKI. We tested these putative biomarkers in 2 observational cohort studies of patients at high risk of AKI: 151 patients undergoing cardiac surgery and 150 patients admitted to a general adult intensive care unit (ICU). Results: In adults admitted to the ICU, urinary cadmium (Cd) (adjusted for urinary creatinine) had area under the receiver operating characteristic curve (AUROC) 0.70 and negative predictive value (NPV) 89%; copper (Cu) had AUROC 0.76 and NPV 91%. In humans (but not pigs), urinary zinc (Zn) was also associated with AKI and, in the ICU study, had AUROC 0.67 and NPV 80%. In patients undergoing cardiac surgery, Zn had AUROC 0.77 and NPV 91%; urinary Cd and Cu had poor AUROC but NPV of 93% and 95%, respectively. In control studies, we found that the urinary biomarkers are stable at room temperature for at least 14 days and are not affected by other confounding factors, such as chronic kidney disease (CKD). Conclusion: Urinary Cd, Cu, and Zn are novel biomarkers for early detection of AKI. Urinary trace metals have advantages over proteins as AKI biomarkers because they are stable at room temperature and have potential for cheap point-of-care testing using electrochemistry.

Indexed as

acute kidney injurybiomarkercadmiumcoppertrace elementszinc

Identifiers

PMID35812272
PMCPMC9263416
OpenAlexW4225158291

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.