Evidence map›Paper›PMID 33732979›Full record

ArticleKidney international reports2021

An Evaluation of Commonly Used Surrogate Baseline Creatinine Values to Classify AKI During Acute Infection.

Daniel J Cooper, Katherine Plewes, Matthew J Grigg, Aatish Patel, Giri S Rajahram, Timothy William, Thomas F Hiemstra, Zhiqiang Wang, Bridget E Barber, Nicholas M Anstey

Open access · goldAbstract read
In one paragraph

Article in Kidney international reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 81 citations in OpenAlex.

  1. Trial
  2. The Effect of Regularly Dosed Acetaminophen vs No Acetaminophen on Renal Function in Plasmodium knowlesi Malaria (PACKNOW): A Randomized, Controlled Trial.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 5 countries.

Daniel J CooperMenzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia.
Katherine PlewesMahidol Oxford Tropical Medicine Research Unit, Bangkok, Thailand.
Matthew J GriggMenzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia.
Aatish PatelInfectious Diseases Society Sabah-Menzies School of Health Research Clinical Research Unit, Kota Kinabalu, Sabah, Malaysia.
Giri S RajahramInfectious Diseases Society Sabah-Menzies School of Health Research Clinical Research Unit, Kota Kinabalu, Sabah, Malaysia.
Timothy WilliamInfectious Diseases Society Sabah-Menzies School of Health Research Clinical Research Unit, Kota Kinabalu, Sabah, Malaysia.
Thomas F HiemstraCambridge Clinical Trials Unit, Cambridge, UK.
Zhiqiang WangMenzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia.
Bridget E BarberMenzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia.
Nicholas M AnsteyMenzies School of Health Research and Charles Darwin University, Darwin, Northern Territory, Australia.
Charles Darwin University · AUMahidol Oxford Tropical Medicine Research Unit · THMenzies School of Health Research · AUQIMR Berghofer Medical Research Institute · AUQueen Elizabeth Hospital · MYSabah Environmental Trust · MYUniversity of Cambridge · GB

Funding

Comparative incidence and clinical spectrum of Plasmodium knowlesi malaria, a longitudinal study in Sabah, MalaysiaR01AI116472 · NIAID · INFECTIOUS DISEASE SOCIETY KOTA KINABALU · PI WILLIAM, TIMOTHY · 2015 to 2019
$682k
NIAID NIH HHS R01 AI116472
6 · The paper itself

Abstract

introductionClassification of acute kidney injury (AKI) requires a premorbid baseline creatinine, often unavailable in studies in acute infection.

methodsWe evaluated commonly used surrogate and imputed baseline creatinine values against a "reference" creatinine measured during follow-up in an adult clinical trial cohort. Known AKI incidence (Kidney Disease: Improving Global Outcomes [KDIGO] criteria) was compared with AKI incidence classified by (1) back-calculation using the Modification of Diet in Renal Disease (MDRD) equation with and without a Chinese ethnicity correction coefficient; (2) back-calculation using the Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation; (3) assigning glomerular filtration rate (GFR) from age and sex-standardized reference tables; and (4) lowest measured creatinine during admission. Back-calculated distributions were performed using GFRs of 75 and 100 ml/min.

resultsAll equations using an assumed GFR of 75 ml/min underestimated AKI incidence by more than 50%. Back-calculation with CKD-EPI and GFR of 100 ml/min most accurately predicted AKI but misclassified all AKI stages and had low levels of agreement with true AKI diagnoses. Back-calculation using MDRD and assumed GFR of 100 ml/min, age and sex-reference GFR values adjusted for good health, and lowest creatinine during admission performed similarly, best predicting AKI incidence (area under the receiver operating characteristic curves [AUC ROCs] of 0.85, 0.87, and 0.85, respectively). MDRD back-calculation using a cohort mean GFR showed low total error (22%) and an AUC ROC of 0.85.

conclusionCurrent methods for estimating baseline creatinine are large sources of potential error in acute infection studies. Preferred alternatives include MDRD equation back-calculation with a population mean GFR, age- and sex-specific GFR values corrected for "good health," or lowest measured creatinine. Studies using surrogate baseline creatinine values should report specific methodology.

Indexed as

acute kidney injurymicrobiologysepsis

Identifiers

PMID33732979
PMCPMC7938202
OpenAlexW3115217873

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.