Evidence map›Paper›PMID 33483191›Full record

ReviewCurrent problems in diagnostic radiology

Infection Control in Interventional Radiology During the COVID-19 Era.

Gabrielle S Ndakwah, Anthony Tucker-Bartley, Rory L Cochran, Dania Daye, Robert M Sheridan, Avik Som, Sara Smolinski-Zhao, Sanjeeva P Kalva, Raul N Uppot

Open access · greenAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current problems in diagnostic radiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

9 authors at 3 institutions in 1 country.

Gabrielle S NdakwahDepartment of Radiology, Massachusetts General Hospital, Boston MA; Massaschusetts Institute of Technology, Cambridge MA.
Anthony Tucker-BartleyHarvard Medical School, Boston MA; Massaschusetts Institute of Technology, Cambridge MA. Electronic address: anthony_tucker-bartley@hms.harvard.edu.
Rory L CochranMassaschusetts Institute of Technology, Cambridge MA.
Dania DayeMassaschusetts Institute of Technology, Cambridge MA.
Robert M SheridanMassaschusetts Institute of Technology, Cambridge MA.
Avik SomMassaschusetts Institute of Technology, Cambridge MA.
Sara Smolinski-ZhaoMassaschusetts Institute of Technology, Cambridge MA.
Sanjeeva P KalvaMassaschusetts Institute of Technology, Cambridge MA.
Raul N UppotMassaschusetts Institute of Technology, Cambridge MA.
Massachusetts Institute of Technology · USHarvard University · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has challenged the capacity of interventional radiology departments worldwide to effectively treat COVID-19 and non-COVID-19 patients while preventing disease transmission among patients and healthcare workers. In this review, we describe the various data driven infection control measures implemented by the interventional radiology department of a large tertiary care center in the United States including the use and novel re-use of personal protective equipment, COVID-19 testing strategies, modifications in procedural workflows and the leveraging of telehealth visits. Herein, we provide effective triage, procedural, and management algorithms that may guide other interventional radiology departments during the ongoing COVID-19 pandemic and in future infectious disease outbreaks.

Indexed as

Radiology Department, HospitalCOVID-19HumansInfection ControlPandemicsPersonal Protective EquipmentRadiology, InterventionalSARS-CoV-2Tertiary Care CentersUnited States

Identifiers

PMID33483191
PMCPMC7794602
OpenAlexW3119609841

What OpenQuestion holds

Textmetadata
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.