Evidence map›Paper›PMID 34640626›Full record

ArticleJournal of clinical medicine2021

A Retrospective Cohort Study of Clinical Factors Associated with Transitions of Care among COVID-19 Patients.

Dennis Swearingen, Gregory Boverman, Kristen Tgavalekos, David P Noren, Shreyas Ravindranath, Erina Ghosh, Minnan Xu, Lisa Wondrely, Pam Thompson, J David Cowden and 1 more

Abstract read
PubMed Full text at PMC Publisher
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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

11 authors.

Dennis SwearingenDepartment of Medical Informatics, Banner Health, Phoenix, AZ 85012, USA.
Gregory BovermanConnected Care and Personal Health Department, Philips Research North America, Cambridge, MA 02141, USA.ORCID 0000-0002-7223-3714
Kristen TgavalekosConnected Care and Personal Health Department, Philips Research North America, Cambridge, MA 02141, USA.
David P NorenConnected Care and Personal Health Department, Philips Research North America, Cambridge, MA 02141, USA.
Shreyas RavindranathConnected Care and Personal Health Department, Philips Research North America, Cambridge, MA 02141, USA.
Erina GhoshConnected Care and Personal Health Department, Philips Research North America, Cambridge, MA 02141, USA.
Minnan XuConnected Care and Personal Health Department, Philips Research North America, Cambridge, MA 02141, USA.
Lisa WondrelyConnected Care and Personal Health Department, Philips Research North America, Cambridge, MA 02141, USA.
Pam ThompsonDepartment of Medical Informatics, Banner Health, Phoenix, AZ 85012, USA.
J David CowdenDepartment of Medical Informatics, Banner Health, Phoenix, AZ 85012, USA.
Corneliu AntonescuDepartment of Medical Informatics, Banner Health, Phoenix, AZ 85012, USA.ORCID 0000-0002-1345-1658

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus Disease 2019 (COVID-19) is an international health crisis. In this article, we report on patient characteristics associated with care transitions of: 1) hospital admission from the emergency department (ED) and 2) escalation to the intensive care unit (ICU). Analysis of data from the electronic medical record (EMR) was performed for patients with COVID-19 seen in the ED of a large Western U.S. Health System from April to August of 2020, totaling 10,079 encounters. Of these, 5172 resulted in admission as an inpatient within 72 h. Inpatient encounters (

Indexed as

care transitionsCOVID-19triage

Identifiers

PMID34640626
PMCPMC8509460

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.