Evidence map›Paper›PMID 36570781›Full record

ReviewBJR open2021

CT findings in sequel of COVID-19 pneumonia and its complications.

Mandeep Garg, Nidhi Prabhakar, Harsimran Bhatia, Sahajal Dhooria, Uma Debi, Valliapan Muthu, Muniraju Maralkunte, Inderpaul Sehgal, Ritesh Agarwal, M S Sandhu

Abstract readReview
In one paragraph

Review in BJR open, 2021. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

10 authors.

Mandeep GargDepartment of Radiodiagnosis and Imaging, PGIMER, Chandigarh, India.
Nidhi PrabhakarDepartment of Radiodiagnosis and Imaging, PGIMER, Chandigarh, India.
Harsimran BhatiaDepartment of Radiodiagnosis and Imaging, PGIMER, Chandigarh, India.
Sahajal DhooriaDepartment of Pulmonary Medicine, PGIMER, Chandigarh, India.
Uma DebiDepartment of Radiodiagnosis and Imaging, PGIMER, Chandigarh, India.
Valliapan MuthuDepartment of Pulmonary Medicine, PGIMER, Chandigarh, India.
Muniraju MaralkunteDepartment of Radiodiagnosis and Imaging, PGIMER, Chandigarh, India.
Inderpaul SehgalDepartment of Pulmonary Medicine, PGIMER, Chandigarh, India.
Ritesh AgarwalDepartment of Pulmonary Medicine, PGIMER, Chandigarh, India.
M S SandhuDepartment of Radiodiagnosis and Imaging, PGIMER, Chandigarh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A significant number of patients after initial recovery from COVID-19 continue to experience lingering symptoms of the disease that may last for weeks or even months. Lungs being the most commonly affected organ by COVID-19, bear the major brunt of the disease and thus it is imperative to be aware of the evolution of the pulmonary parenchymal changes over time. CT chest is the imaging modality of choice to evaluate post-COVID lungs. Persistent ground-glass opacities, septal thickening, parenchymal bands, crazy-paving, traction bronchiectasis and consolidation constitute the commonly encountered imaging patterns seen on CT in post-COVID-19 lungs. Few vulnerable patients can develop lung fibrosis and show honeycombing on CT. Additionally, many complications like superadded infections (bacterial and fungal), pulmonary thromboembolism and pseudoaneurysm formation are also being reported. In the present pictorial review, we have tried to show the entire CT spectrum of sequelae of COVID-19 pneumonia and commonly associated infections and vascular complications.

Identifiers

PMID36570781
PMCPMC9754056

What OpenQuestion holds

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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.