Evidence map›Paper›PMID 36786195›Full record

ArticleJournal of investigative medicine : the official publication of the American Federation for Clinical Research2023

Validation of a predictive model for hospital-acquired acute kidney injury with emergence of SARS-CoV-2 variants.

Meredith C McAdams, Pin Xu, Michael Li, L Parker Gregg, Sameh N Saleh, Mauricio Ostrosky-Frid, Duwayne L Willett, Ferdinand Velasco, Christoph U Lehmann, S Susan Hedayati

Abstract read
In one paragraph

Article in Journal of investigative medicine : the official publication of the American Federation for Clinical Research, 2023. 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. Observational
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

10 authors.

Meredith C McAdamsDivision of Nephrology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Pin XuDivision of Nephrology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Michael LiUniversity of Texas Southwestern College of Medicine, Dallas, TX, USA.
L Parker GreggSection of Nephrology, Department of Medicine, Baylor College of Medicine, Selzman Institute for Kidney Health, Houston, TX, USA.ORCID 0000-0002-5469-367X
Sameh N SalehClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Mauricio Ostrosky-FridDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Duwayne L WillettDivision of Cardiology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Ferdinand VelascoTexas Health Resources, Dallas, TX, USA.
Christoph U LehmannClinical Informatics Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
S Susan HedayatiDivision of Nephrology, Department of Medicine, University of Texas Southwestern Medical Center, Dallas, TX, USA.ORCID 0000-0001-8850-4729

Funding

UT Southwestern Center for Translational MedicineUL1TR003163 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2021 to 2025
$39.3M
RENAL CONTROL OF BODY COMPOSITION AND BLOOD PRESSURET32DK007257 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI BAUM, MICHEL GERARD, MOE, ORSON W · 1986 to 2021
$5.0M
Association of diuretics with change in extracellular volume, natriuretic peptides, symptoms, and cardiovascular outcomes in CKDIK2CX002368 · VA · MICHAEL E DEBAKEY VA MEDICAL CENTER · PI GREGG, LUCILE PARKER · 2022 to 2025
–
CSRD VA IK2 CX002368NCATS NIH HHS UL1 TR003163NIDDK NIH HHS T32 DK007257
6 · The paper itself

Abstract

We previously developed and validated a model to predict acute kidney injury (AKI) in hospitalized coronavirus disease 2019 (COVID-19) patients and found that the variables with the highest importance included a history of chronic kidney disease and markers of inflammation. Here, we assessed model performance during periods when COVID-19 cases were attributable almost exclusively to individual variants. Electronic Health Record data were obtained from patients admitted to 19 hospitals. The outcome was hospital-acquired AKI. The model, previously built in an

Indexed as

Acute Kidney InjuryCOVID-19HospitalsHumansSARS-CoV-2Acute kidney injuryCOVID-19

Identifiers

PMID36786195
PMCPMC9929183

What OpenQuestion holds

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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.