Evidence map›Paper›PMID 33487174›Full record

SynthesisMilitary Medical Research2021

A practical approach to imaging characteristics and standardized reporting of COVID-19: a radiologic review.

Deniz Esin Tekcan Sanli, Duzgun Yildirim, Ahmet Necati Sanli, Suha Turkmen, Neval Erozan, Guray Husmen, Aytug Altundag, Filiz Tuzuner

Abstract readSystematic Review
In one paragraph

Synthesis in Military Medical Research, 2021. 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. Article
  2. Article
  3. Article
  4. 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

8 authors.

Deniz Esin Tekcan SanliDepartment of Radiology, Acibadem Kozyatagi Hospital, 19 Mayıs Mah, İnönü Cad, Okur Sok, No.24/A, Kozyatağı, 34734, Istanbul, Turkey. tekcandenizesin@gmail.com.ORCID 0000-0002-6545-5757
Duzgun YildirimDepartment of Radiology, Acibadem Taksim Hospital, 34373, Istanbul, Turkey.
Ahmet Necati SanliCerrahpasa Medical Faculty, Department of General Surgery, Istanbul University-Cerrahpasa, 34098, Istanbul, Turkey.
Suha TurkmenDepartment of Emergency, Acibadem Taksim Hospital, 34373, Istanbul, Turkey.
Neval ErozanDepartment of Radiology, Acibadem Kozyatagi Hospital, 19 Mayıs Mah, İnönü Cad, Okur Sok, No.24/A, Kozyatağı, 34734, Istanbul, Turkey.
Guray HusmenDepartment of Radiology, Acibadem Kozyatagi Hospital, 19 Mayıs Mah, İnönü Cad, Okur Sok, No.24/A, Kozyatağı, 34734, Istanbul, Turkey.
Aytug AltundagDepartment of Otolaryngology, Acibadem Taksim Hospital, 34373, Istanbul, Turkey.
Filiz TuzunerDepartment of Anesthesiology, Acibadem Taksim Hospital, 34373, Istanbul, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Novel coronavirus (2019-nCoV), also known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is a pathogen that has caused a rapidly spreading pandemic all over the world. The primary mean of transmission is inhalation with a predilection for respiratory system involvement, especially in the distal airways. The disease that arises from this novel coronavirus is named coronavirus disease 2019 (COVID-19). COVID-19 may have a rapid and devastating course in some cases leading to severe complications and death. Radiological imaging methods have an invaluable role in diagnosis, follow-up, and treatment. In this review, radiological imaging findings of COVID-19 have been systematically reviewed based on the published literature so far. Radiologic reporting templates are also emphasized from a different point of view, considering specific distinctive patterns of involvement.

Indexed as

AlgorithmsCOVID-19HumansLungPandemicsPrognosisRadiographyReal-Time Polymerase Chain ReactionSARS-CoV-2Time FactorsTomography, X-Ray ComputedTriageUltrasonographyAcute respiratory distress syndromeComputed tomographyCOVID-19Crazy-paving patternGround-glass opacitiesPneumoniaSARS-CoV-2

Identifiers

PMID33487174
PMCPMC7826494

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.