Evidence map›Paper›PMID 33917702›Full record

ArticleJournal of clinical medicine2021

Early Prognostic Indicators of Subsequent Hospitalization in Patients with Mild COVID-19.

Alyssa Ylescupidez, Aaron Rips, Henry T Bahnson, Cate Speake, Punam Verma, Anne M Hocking, Jane H Buckner, Uma Malhotra

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. 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
0.1field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

8 authors at 1 institution in 1 country.

Alyssa YlescupidezCenter for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA.
Aaron RipsCenter for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA.
Henry T BahnsonCenter for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA.
Cate SpeakeCenter for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA.ORCID 0000-0003-1480-4272
Punam VermaDepartment of Microbiology, Virginia Mason Medical Center, Seattle, WA 98101, USA.
Anne M HockingCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA.ORCID 0000-0003-2130-3732
Jane H BucknerCenter for Translational Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA.
Uma MalhotraDepartment of Infectious Disease, Virginia Mason Medical Center, Seattle, WA 98101, USA.ORCID 0000-0003-0132-0885
Virginia Mason Medical Center · US

Funding

New York Medical College Internship (Aaron Rips)NIH HHS 3U19AI13581 (Uma Malhotra)
6 · The paper itself

Abstract

Comprehensive data on early prognostic indicators in patients with mild COVID-19 remains sparse. In this single center case series, we characterized the initial clinical presentation in 180 patients with mild COVID-19 and defined the earliest predictors of subsequent deterioration and need for hospitalization. Three broad patient phenotypes and four symptom clusters were characterized, differentiated by varying risk for adverse outcomes. Among 14 symptoms assessed, subjective shortness of breath (SOB) most strongly associated with adverse outcomes (odds ratio (OR) 21.3, 95% confidence interval (CI): 2.7-166.4;

Indexed as

comorbiditiesCOVID-19lymphopeniapandemicpathophysiologyprognostic indicatorsSARS CoV-2shortness of breath

Identifiers

PMID33917702
PMCPMC8068070
OpenAlexW3148610715

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.