Evidence map›Paper›PMID 35471640›Full record

ArticleNephrology (Carlton, Vic.)2022

Estimating baseline kidney function in hospitalized adults with acute kidney injury.

Thomas Larsen, Emily J See, Natasha Holmes, Rinaldo Bellomo

Open access · hybridAbstract read
In one paragraph

Article in Nephrology (Carlton, Vic.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Observational
  3. Severe intensive care unit-acquired hypernatraemia: Prevalence, risk factors, trajectory, management, and outcome.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2024
    Article
  4. Point-of-care creatinine vs. central laboratory creatinine in the critically ill.Critical care and resuscitation : journal of the Australasian Academy of Critical Care Medicine · 2024
    Article
  5. 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

4 authors at 2 institutions in 1 country.

Thomas LarsenData Analytics Research Evaluation (DARE) Centre, Austin Hospital and University of Melbourne, Heidelberg, Victoria, Australia.ORCID https://orcid.org/0000-0002-6392-314X
Emily J SeeDepartment of Critical Care, University of Melbourne, Melbourne, Victoria, Australia.ORCID https://orcid.org/0000-0003-4436-4319
Natasha HolmesData Analytics Research Evaluation (DARE) Centre, Austin Hospital and University of Melbourne, Heidelberg, Victoria, Australia.
Rinaldo BellomoData Analytics Research Evaluation (DARE) Centre, Austin Hospital and University of Melbourne, Heidelberg, Victoria, Australia.
The Royal Melbourne Hospital · AUThe University of Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimBaseline serum creatinine values are required to diagnose acute kidney injury but are often unavailable. We evaluated four conventional equations to estimate creatinine. We then developed and validated a new equation corrected by age and gender.

methodsWe retrospectively examined adults who, at first hospital admission, had available baseline creatinine data and developed acute kidney injury ≥24 h after admission. We split the study population: 50% (derivation) to develop a new linear equation and 50% (validation) to compare against conventional equations for bias, precision, and accuracy. We stratified analyses by age and gender.

resultsWe studied 3139 hospitalized adults (58% male, median age 71). Conventional equations performed poorly in bias and accuracy in patients aged <60 or ≥75 (68% of the study population). The new linear equation had less bias and more accuracy. There were no clinically significant differences in precision. The median (95% confidence interval) difference in creatinine values estimated via the new equation minus measured baselines was 0.9 (-3.0, 5.9) and -0.5 (-7.0, 3.7) μmol/L in female patients 18-60 and 75-100, and -1.5 (-4.2, 2.2) and -7.8 (-12.7, -3.6) μmol/L in male patients 18-60 and 75-100, respectively. The new equation improved reclassification of KDIGO AKI stages compared to the MDRD II equation by 5.0%.

conclusionEquations adjusted for age and gender are less biased and more accurate than unadjusted equations. Our new equation performed well in terms of bias, precision, accuracy, and reclassification.

Indexed as

Acute Kidney InjuryAdultAgedCreatinineFemaleGlomerular Filtration RateHumansKidneyMaleRetrospective StudiesCreatinineacute kidney injury/diagnosisacute kidney injury/epidemiologyage distributionhumanslinear modelssex distribution

Identifiers

PMID35471640
PMCPMC9325517
OpenAlexW4224883224

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.