Evidence map›Paper›PMID 37685632›Full record

ArticleJournal of clinical medicine2023

Combining Machine Learning and Urine Oximetry: Towards an Intraoperative AKI Risk Prediction Algorithm.

Lars Lofgren, Natalie Silverton, Kai Kuck

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical medicine, 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
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
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

3 authors at 1 institution in 1 country.

Lars LofgrenDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0001-9937-7948
Natalie SilvertonDepartment of Anesthesiology, University of Utah, Salt Lake City, UT 84112, USA.
Kai KuckDepartment of Biomedical Engineering, University of Utah, Salt Lake City, UT 84112, USA.ORCID 0000-0003-2604-0046
University of Utah · US

Funding

Utah Center for Clinical and Translational ScienceUL1TR002538 · NCATS · UNIVERSITY OF UTAH · PI HESS, RACHEL, MAJERSIK, JENNIFER JUHL · 2018 to 2022
$26.0M
Vascular Health and Risk Factors in Children with Down SyndromeKL2TR002539 · NCATS · UNIVERSITY OF UTAH · PI MURTAUGH, MAUREEN A, NYGAARD, INGRID E · 2018 to 2022
$4.3M
NCATS NIH HHS KL2 TR002539NCATS NIH HHS KL2TR002539NCATS NIH HHS UL1 TR002538NIH HHS UL1TR002538
6 · The paper itself

Abstract

Acute kidney injury (AKI) affects up to 50% of cardiac surgery patients. The definition of AKI is based on changes in serum creatinine relative to a baseline measurement or a decrease in urine output. These monitoring methods lead to a delayed diagnosis. Monitoring the partial pressure of oxygen in urine (PuO

Indexed as

acute kidney injurycardiac surgerymachine learningurinary oxygenation

Identifiers

PMID37685632
PMCPMC10488092
OpenAlexW4386223942

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.