Evidence map›Paper›PMID 33117849›Full record

ArticleOpen forum infectious diseases2020

Automatic ID Consultation for Inpatients With COVID-19: Point, Counterpoint, and a Single-Center Experience.

Cynthia T Nguyen, Gregory Olson, Mai T Pho, Alison K Lew, David Pitrak, Jina Saltzman, Aniruddha Hazra, Kenneth Pursell, Natasha N Pettit

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Coronavirus Disease 2019 (COVID-19) Diagnostic Clinical Decision Support: A Pre-Post Implementation Study of CORAL (COvid Risk cALculator).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
    Article
  4. 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

9 authors.

Cynthia T NguyenDepartment of Pharmacy, University of Chicago Medicine, Chicago, Illinois, USA.ORCID 0000-0001-8530-6890
Gregory OlsonDepartment of Medicine, Section of Infectious Diseases and Global Health, University of Chicago Medicine, Chicago, Illinois, USA.ORCID 0000-0003-1322-7573
Mai T PhoDepartment of Medicine, Section of Infectious Diseases and Global Health, University of Chicago Medicine, Chicago, Illinois, USA.
Alison K LewDepartment of Pharmacy, University of Chicago Medicine, Chicago, Illinois, USA.
David PitrakDepartment of Medicine, Section of Infectious Diseases and Global Health, University of Chicago Medicine, Chicago, Illinois, USA.
Jina SaltzmanDepartment of Medicine, Section of Infectious Diseases and Global Health, University of Chicago Medicine, Chicago, Illinois, USA.
Aniruddha HazraDepartment of Medicine, Section of Infectious Diseases and Global Health, University of Chicago Medicine, Chicago, Illinois, USA.
Kenneth PursellDepartment of Medicine, Section of Infectious Diseases and Global Health, University of Chicago Medicine, Chicago, Illinois, USA.
Natasha N PettitDepartment of Pharmacy, University of Chicago Medicine, Chicago, Illinois, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are many unknowns with regard to COVID-19 clinical management, including the role of Infectious Diseases Consultation (IDC). As hospitalizations for COVID-19 continue, hospitals are assessing how to optimally and efficiently manage COVID-19 inpatients. Typically, primary teams must determine when IDC is appropriate, and ID clinicians provide consultation upon request of the primary team. IDC has been shown to be beneficial for many conditions; however, the impact of IDC for COVID-19 is unknown. Herein, we discuss the potential benefits and pitfalls of automatic IDC for COVID-19 inpatients. Important considerations include the quality of care provided, allocation and optimization of resources, and clinician satisfaction. Finally, we describe how automatic IDC changed throughout the COVID-19 pandemic at a single academic medical center.

Indexed as

COVID-19infectious diseasesreferral and consultation

Identifiers

PMID33117849
PMCPMC7454912

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.