Evidence map›Paper›PMID 25640093›Full record

ArticleSingapore medical journal2015

Normalisation of urinary biomarkers to creatinine for clinical practice and research--when and why.

Kai Wen Aaron Tang, Qi Chun Toh, Boon Wee Teo

Open access · diamondAbstract read
In one paragraph

Article in Singapore medical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 2 pooled it
3.7field-weighted citation impact, top 7% 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

71 citing papers in PubMed, 2 syntheses or guidelines pooled it, 127 citations in OpenAlex.

  1. Pooled it
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  6. Review
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  8. Article
  9. Water intake mediates cross-sectional associations between urinary kidney injury biomarkers and race in emerging adults.American journal of physiology. Regulatory, integrative and comparative physiology · 2026
    Article
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  11. Observational
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  19. Article
  20. Statistical consideration in nephrology research.Kidney research and clinical practice · 2025
    Article

11 more citing papers are in PubMed but not listed here.

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 at 2 institutions in 1 country.

Kai Wen Aaron Tang
Qi Chun Toh
Boon Wee TeoDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, 1E Kent Ridge Road, Level 10 NUHS Tower Block, Singapore 119228. mdctbw@nus.edu.sg.
National University Health System · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute kidney injury (AKI) and chronic kidney disease (CKD) are major health problems. Urinary biomarkers have both diagnostic and prognostic utility in AKI and CKD. However, how biomarker excretion rates should be reported, especially whether they should be normalised to urinary creatinine concentration (uCr), is controversial. Some studies suggest that normalisation to uCr may be inappropriate at times, as urinary creatinine excretion rate may vary greatly, depending on the situation. Notably, recent studies suggest that while normalisation of values to UCr may be valid for the evaluation of CKD and prediction of AKI sequelae and occurrences, it could be inappropriate for the diagnosis of AKI, or in the presence of certain acute kidney disease states.

Indexed as

Acute Kidney InjuryBiomarkersCreatinineGlomerular Filtration RateHumansKidneyNephrologyRenal Insufficiency, ChronicTreatment OutcomeUrinalysisBiomarkersCreatinine

Identifiers

PMID25640093
PMCPMC4325562
OpenAlexW2027414130

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.