Evidence map›Paper›PMID 35646289›Full record

ArticleWorld journal of radiology2022

Follow-up computed tomography scan in post-COVID-19 pneumonia.

Asad Chohan, Saiara Choudhury, Rahul Dadhwal, Abhay P Vakil, Rene Franco, Pahnwat Tonya Taweesedt

Abstract read
In one paragraph

Article in World journal of radiology, 2022. 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
–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

1 citing paper in PubMed.

  1. 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

6 authors.

Asad ChohanPulmonary Medicine, Corpus Christi Medical Center, Corpus Christi, TX 78411, United States.
Saiara ChoudhuryPulmonary Medicine, Corpus Christi Medical Center, Corpus Christi, TX 78411, United States.
Rahul DadhwalPulmonary Medicine, Corpus Christi Medical Center, Corpus Christi, TX 78411, United States.
Abhay P VakilPulmonary Medicine, Corpus Christi Medical Center, Corpus Christi, TX 78411, United States.
Rene FrancoPulmonary Medicine, Corpus Christi Medical Center, Corpus Christi, TX 78411, United States.
Pahnwat Tonya TaweesedtPulmonary Medicine, Corpus Christi Medical Center, Corpus Christi, TX 78411, United States. pahnwatt@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) global pandemic can be a severe illness that leads to morbidity and mortality. With the increasing number of COVID-19 pneumonia survivors, several long-term changes may persist, including abnormal imaging of lung parenchyma. In addition to the clinical course, it is vital to follow up on pulmonary imaging during the post-infectious period, which is not routinely required in other common pulmonary diagnoses. Computed tomography (CT) scan of the chest is an effective and diagnostic tool for pneumonia which gives an insight into structural abnormalities within the lungs, complications, and possible progression of the disease. Several studies have monitored COVID-19 pneumonia and its complications using serial CT chest imaging from the initial phase of infection, hospitalization, and post-discharge. Nonetheless, long-term follow-up imaging data in post-COVID-19 is still limited. We have summarized the findings utilizing a systematic review of the literature regarding COVID-19 pneumonia imaging, including long-term follow-up.

Indexed as

Computed tomographyCOVID-19EvolutionPneumoniaProgression

Identifiers

PMID35646289
PMCPMC9124981

What OpenQuestion holds

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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.