Evidence map›Paper›PMID 34593872›Full record

ArticleScientific reports2021

Effect of ondansetron on reducing ICU mortality in patients with acute kidney injury.

Xiaojiang Guo, Xiguang Qi, Peihao Fan, Michael Gilbert, Andrew D La, Zeyu Liu, Richard Bertz, John A Kellum, Yu Chen, Lirong Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. The Association of Antiemetics Use With Incident Chronic Kidney Disease.Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation · 2025
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  5. [Long-term low-dose microcystin-LR exposure induces renal injury in mice by activating PI3K/AKT signaling pathway].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Article
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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 at 2 institutions in 1 country.

Xiaojiang Guo *Department of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, PA, 15206, USA.
Xiguang Qi *Department of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, PA, 15206, USA.
Peihao Fan *Department of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, PA, 15206, USA.
Michael GilbertDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15206, USA.
Andrew D LaDepartment of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA, 15206, USA.
Zeyu LiuThe Dietrich School of Arts & Sciences, University of Pittsburgh, Pittsburgh, PA, 15206, USA.
Richard BertzDepartment of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, PA, 15206, USA.
John A KellumThe Center for Critical Care Nephrology Department of Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA, 15206, USA. kellum@pitt.edu.
Yu ChenEli Lilly and Company, Lilly Corporate Center, Indiana, IN, 46225, USA. yu.chen@lilly.com.
Lirong WangDepartment of Pharmaceutical Sciences, Computational Chemical Genomics Screening Center, School of Pharmacy, University of Pittsburgh, 5607 Baum Boulevard, Pittsburgh, PA, 15206, USA. liw30@pitt.edu.
University of Pittsburgh · USEli Lilly (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study is to identify medications with potentially beneficial effects on decreasing mortality in patients with acute kidney injury (AKI) while in the intensive care unit (ICU). We used logistic regression to investigate associations between medications received and ICU mortality in patients with AKI in the MIMIC III database. Drugs associated with reduced mortality were then validated using the eICU database. Propensity score matching (PSM) was used for matching the patients' baseline severity of illness followed by a chi-square test to calculate the significance of drug use and mortality. Finally, we examined gene expression signatures to explore the drug's molecular mechanism on AKI. While several drugs demonstrated potential beneficial effects on reducing mortality, most were used for potentially fatal illnesses (e.g. antibiotics, cardiac medications). One exception was found, ondansetron, a drug without previously identified life-saving effects, has correlation with lower mortality among AKI patients. This association was confirmed in a subsequent analysis using the eICU database. Based on the comparison of gene expression signatures, the presumed therapeutic effect of ondansetron may be elicited through the NF-KB pathway and JAK-STAT pathway. Our findings provide real-world evidence to support clinical trials of ondansetron for treatment of AKI.

Indexed as

Acute Kidney InjuryHospital MortalityAgedAged, 80 and overDatabases, FactualFemaleHumansIntensive Care UnitsMaleMiddle Aged

Identifiers

PMID34593872
PMCPMC8484575
OpenAlexW3167839571

What OpenQuestion holds

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LicenceCC BY
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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.