Evidence map›Paper›PMID 37704713›Full record

ArticleScientific reports2023

Extracorporeal membrane oxygenation and acute kidney injury: a single-center retrospective cohort.

Xiaolan Gao, Jacob Ninan, John K Bohman, Jason K Viehman, Chang Liu, Danette Bruns, Xuan Song, Xinyan Liu, Suraj M Yalamuri, Kianoush B Kashani

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Impact of preoperative venovenous extracorporeal membrane oxygenation bridging on postoperative acute kidney injury after lung transplantation.Journal of artificial organs : the official journal of the Japanese Society for Artificial Organs · 2026
    Article
  2. Review
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  4. Article
  5. Article
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  8. Research progress on the pathogenesis of AKI complicated by ECMO.Clinical and experimental nephrology · 2025
    Review
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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 6 institutions in 2 countries.

Xiaolan GaoDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Jacob NinanDivision of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA.
John K BohmanDivision of Critical Care, Department of Anesthesiology, Mayo Clinic, Rochester, MN, USA.
Jason K ViehmanDivision of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA.
Chang LiuDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Danette BrunsAnesthesiology Clinical Research Unit, Department of Anesthesiology, Mayo Clinic, Rochester, MN, USA.
Xuan SongICU, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Shandong, China.
Xinyan LiuICU, DongE Hospital Affiliated to Shandong First Medical University, Shandong, China.
Suraj M YalamuriDivision of Critical Care, Department of Anesthesiology, Mayo Clinic, Rochester, MN, USA.
Kianoush B KashaniDivision of Nephrology and Hypertension, Department of Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. kashani.kianoush@mayo.edu.
Mayo Clinic in Arizona · USMayo Clinic · USShandong First Medical University · CNShandong Provincial Hospital · CNUniversity of Science and Technology of China · CNZhongnan Hospital of Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the relationship between acute kidney injury (AKI) with outcomes among patients requiring extracorporeal membrane oxygenation (ECMO). This is a single-center, retrospective cohort study of adult patients admitted to intensive care units (ICU) at a tertiary referral hospital requiring ECMO from July 1, 2015, to August 30, 2019. We assessed the temporal relationship of AKI and renal replacement therapy with ECMO type (VV vs. VA). The primary outcome was in-hospital mortality rates. We used Kruskal-Wallis or chi-square tests for pairwise comparisons, cause-specific Cox proportional hazards models were utilized for the association between AKI prevalence and in-hospital mortality, and a time-dependent Cox model was used to describe the association between AKI incidence and mortality. After the screening, 190 patients met eligibility criteria [133 (70%) AKI, 81 (43%) required RRT]. The median age was 61 years, and 61% were males. Among AKI patients, 48 (36%) and 85 (64%) patients developed AKI before and after ECMO, respectively. The SOFA Day 1, baseline creatinine, respiratory rate (RR), use of vasopressin, vancomycin, proton pump inhibitor, antibiotics, duration of mechanical ventilation and ECMO, and ICU length of stay were higher in AKI patients compared with those without AKI (P < 0.01). While ICU and in-hospital mortality rates were 46% and 50%, respectively, there were no differences based on the AKI status. The type and characteristics of ECMO support were not associated with AKI risk. Among AKI patients, 77 (58%) were oliguric, and 46 (60%) of them received diuretics. Urine output in the diuretic group was only higher on the first day than in those who did not receive diuretics (P = 0.03). Among ECMO patients, AKI was not associated with increased mortality but was associated with prolonged duration of mechanical ventilation and ICU length of stay.

Indexed as

Acute Kidney InjuryExtracorporeal Membrane OxygenationAdultAnti-Bacterial AgentsDiureticsFemaleHumansMaleMiddle AgedRetrospective StudiesAnti-Bacterial AgentsDiuretics

Identifiers

PMID37704713
PMCPMC10499785
OpenAlexW4386723888

What OpenQuestion holds

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Registered trials

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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.