Evidence map›Paper›PMID 35720967›Full record

ArticleJournal of clinical and translational science2022

Modeling clinical trajectory status of critically ill COVID-19 patients over time: A method for analyzing discrete longitudinal and ordinal outcomes.

Michael J Ward, David J Douin, Wu Gong, Adit A Ginde, Catherine L Hough, Matthew C Exline, Mark W Tenforde, William B Stubblefield, Jay S Steingrub, Matthew E Prekker and 12 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of clinical and translational science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

22 authors.

Michael J WardVanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-4561-2946
David J DouinUniversity of Colorado School of Medicine, Aurora, Colorado, USA.ORCID https://orcid.org/0000-0002-5215-6854
Wu GongVanderbilt University Medical Center, Nashville, Tennessee, USA.
Adit A GindeUniversity of Colorado School of Medicine, Aurora, Colorado, USA.
Catherine L HoughOregon Health & Science University Hospital, Portland, Oregon, USA.
Matthew C ExlineOhio State University Wexner Medical Center, Columbus, Ohio, USA.
Mark W TenfordeCDC COVID-19 Response Team, Atlanta, Georgia, USA.
William B StubblefieldVanderbilt University Medical Center, Nashville, Tennessee, USA.
Jay S SteingrubBaystate Medical Center, Springfield, Massachusetts, USA.
Matthew E PrekkerHennepin County Medical Center, Minneapolis, Minnesota, USA.
Akram KhanOregon Health & Science University Hospital, Portland, Oregon, USA.
D Clark FilesWake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA.
Kevin W GibbsWake Forest University Baptist Medical Center, Winston-Salem, North Carolina, USA.
Todd W RiceVanderbilt University Medical Center, Nashville, Tennessee, USA.
Jonathan D CaseyVanderbilt University Medical Center, Nashville, Tennessee, USA.
Daniel J HenningUniversity of Washington School of Medicine, Seattle, Washington, USA.
Jennifer G WilsonStanford University School of Medicine, Palo Alto, California, USA.
Samuel M BrownIntermountain Medical Center and University of Utah, Salt Lake City, Utah, USA.
Manish M PatelCDC COVID-19 Response Team, Atlanta, Georgia, USA.
Wesley H SelfVanderbilt University Medical Center, Nashville, Tennessee, USA.
Christopher J LindsellVanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID https://orcid.org/0000-0002-3297-2811
Influenza and Other Viruses in the Acutely Ill (IVY) Network

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
Anesthesiology Mentored Research TrainingT32GM135169 · NIGMS · UNIVERSITY OF COLORADO DENVER · PI Susan L Ingram, Vesna Jevtovic-Todorovic · 2021 to 2026
$1.0M
NCATS NIH HHS UL1 TR002243NCATS NIH HHS UL1 TR002369NIGMS NIH HHS T32 GM135169
6 · The paper itself

Abstract

Early in the COVID-19 pandemic, the World Health Organization stressed the importance of daily clinical assessments of infected patients, yet current approaches frequently consider cross-sectional timepoints, cumulative summary measures, or time-to-event analyses. Statistical methods are available that make use of the rich information content of longitudinal assessments. We demonstrate the use of a multistate transition model to assess the dynamic nature of COVID-19-associated critical illness using daily evaluations of COVID-19 patients from 9 academic hospitals. We describe the accessibility and utility of methods that consider the clinical trajectory of critically ill COVID-19 patients.

Indexed as

Clinical Progression ScaleCOVIDcritical illnesslongitudinal assessmentproportional odds

Identifiers

PMID35720967
PMCPMC9161049

What OpenQuestion holds

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LicenceCC BY
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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.