Evidence map›Paper›PMID 31236339›Full record

ReviewTranslational andrology and urology2019

Biochemical evaluation of kidney disease.

Oliver Treacy, Nigel N Brown, Goce Dimeski

Abstract readReview
In one paragraph

Review in Translational andrology and urology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Pooled it
  2. Avoidance of CNI and steroids using belatacept-Results of the Clinical Trials in Organ Transplantation 16 trial.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2020
    Trial
  3. Article
  4. Article
  5. Article
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  7. Frontiers in chemistry · 2025
    Article
  8. Article
  9. Review
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  12. Review
  13. Review
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  15. Article
  16. Article
  17. Review
  18. Plants with Therapeutic Potential for Ischemic Acute Kidney Injury: A Systematic Review.Evidence-based complementary and alternative medicine : eCAM · 2022
    Review
  19. Interference by piperacillin/tazobactam in the measurement of creatinine with the Jaffe method and of total protein with the biuret method.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2021
    Article
  20. 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

3 authors.

Oliver TreacyDepartment of Chemical Pathology, Pathology Queensland, Princess Alexandra Hospital Ipswich Road, Woolloongabba, Queensland, Australia.
Nigel N BrownDepartment of Chemical Pathology, Pathology Queensland, Princess Alexandra Hospital Ipswich Road, Woolloongabba, Queensland, Australia.
Goce DimeskiDepartment of Chemical Pathology, Pathology Queensland, Princess Alexandra Hospital Ipswich Road, Woolloongabba, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Different biochemical markers exist in both blood and urine for assessing renal function. Most of these biomarkers have advantages and limitations associated with their use, which is important to consider when ordering and utilising them in the clinical setting. The ideal marker should be able to detect acute kidney injury (AKI) at the onset and be used for the diagnosis and ongoing monitoring and management of kidney disease. The search for such a marker is ongoing, as all potential candidates thus far are associated with certain limitations. This article will attempt to compare and contrast established and emerging kidney disease markers.

Indexed as

biomarkersdiseaseKidneypathophysiology

Identifiers

PMID31236339
PMCPMC6559936

What OpenQuestion holds

Textmetadata
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.