Evidence map›Paper›PMID 39593219›Full record

ArticleRenal failure2024

Employing urinary biomarkers to infer the absence of acute kidney disease in outpatients with a single serum creatinine measurement.

Shih-Ping Hsu, Chiang-Ting Chien

Abstract read
In one paragraph

Article in Renal failure, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

2 authors.

Shih-Ping HsuDepartment of Internal Medicine, Far Eastern Memorial Hospital, New Taipei, Taiwan.ORCID 0000-0001-8454-7369
Chiang-Ting ChienSchool of Life Science, National Taiwan Normal University, Taipei, Taiwan.ORCID 0000-0001-7580-7069

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIn outpatient settings, it is challenging to exclude acute kidney disease (AKD) based on a single serum creatinine (SCr) measurement. This retrospective study aimed to explore the usefulness of urinary biomarkers and a novel functional biomarker, a spot urine creatinine-to-osmolality ratio (sUCr/Osm), for inferring the absence of AKD.

methodsThe cohort was from the ASSESS-AKI Study. 'No AKD' was defined as the absence of a SCr increase ≥ 26.5 μmol/L between the preceding visit and the index visit, with a three-month interval. Urinary neutrophil gelatinase-associated lipocalin (UNGAL) was selected as the representative biomarker out of six known candidates. UNGAL levels < 100 ng/mL indicated a positive test. sUCr/Osm values ≥ 7.07 indicated a positive test.

resultsOf the 1,570 participants, 38.0% were female. The mean age (mean ± SD) was 64.6 ± 13.0 years, and the mean SCr level was 102.5 ± 51.4 μmol/L. The area under the receiver operating characteristic curve for UNGAL in identifying 'No AKD' for all participants was 0.548 (95% confidence interval: 0.495-0.600), whereas that for sUCr/Osm was 0.578 (0.525-0.630). The sensitivity of UNGAL was 0.867 (0.849-0.884), with a positive predictive value of 0.917 (0.902-0.932) and an accuracy of 0.808 (0.788-0.827). The corresponding values of sUCr/Osm were 0.926 (0.912-0.939), 0.906 (0.891-0.921), and 0.845 (0.827-0.863). In individuals whose SCr-derived estimated glomerular filtration rate was < 60 mL/min/1.73 m

conclusionUsing sUCr/Osm to infer the absence of AKD in outpatients with a single SCr measurement may be as effective as using UNGAL.

Indexed as

Acute Kidney InjuryBiomarkersCreatinineLipocalin-2OutpatientsAgedFemaleHumansMaleMiddle AgedRetrospective StudiesROC CurveBiomarkersCreatinineLCN2 protein, humanLipocalin-2Acute kidney diseaseacute renal dysfunctionASSESS-AKIneutrophil gelatinase-associated lipocalinspot urine creatinine-to-osmolality ratio

Identifiers

PMID39593219
PMCPMC11610285

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.