Evidence map›Paper›PMID 32226652›Full record

ReviewCurrent radiology reports2019

Imaging of Emerging Infectious Diseases.

Meghan Jardon, Shaden F Mohammad, Cecilia M Jude, Anokh Pahwa

Open access · bronzeAbstract readReview
In one paragraph

Review in Current radiology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Review
  3. Evolution of RNA viruses from SARS to SARS-CoV-2 and diagnostic techniques for COVID-19: a review.Beni-Suef University journal of basic and applied sciences · 2021
    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

4 authors at 2 institutions in 1 country.

Meghan Jardon1Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA USA.
Shaden F Mohammad2Department of Radiological Sciences, Olive View - UCLA Medical Center, Sylmar, CA USA.
Cecilia M Jude2Department of Radiological Sciences, Olive View - UCLA Medical Center, Sylmar, CA USA.
Anokh Pahwa2Department of Radiological Sciences, Olive View - UCLA Medical Center, Sylmar, CA USA.
Olive View-UCLA Medical Center · USRonald Reagan UCLA Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewEmerging infectious diseases have seen a record increase in prevalence, and understanding their management is critical in an increasingly global community. In this paper, we review current literature detailing the role of radiology in the diagnosis and treatment of the Ebola (EVD), Zika (ZVD), Chikungunya (CHIKF), H1N1, Middle East Respiratory (MERS), and Severe Acute Respiratory Syndrome (SARS) viruses. RECENT

findingsComplex protocols are required to safely use portable imaging in EVD to prevent nosocomial spread of disease. In ZVD, antenatal ultrasound can detect fetal abnormalities early, allowing implementation of care and support to affected families. Imaging is useful in assessing the extent of involvement of chronic CHIKF and monitoring treatment effect. Chest radiography and CT play a more direct role in the diagnosis and monitoring of the viral infections with primarily respiratory manifestations (H1N1, MERS, and SARS). SUMMARY: Radiology plays a variable role in emerging infectious diseases, requiring an understanding of disease transmission and safe imaging practices, as well as imaging features that affect clinical management.

Indexed as

ChikungunyaEbolaEmerging diseaseH1N1MERSSARSZika

Identifiers

PMID32226652
PMCPMC7100865
OpenAlexW2960949110

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.