Evidence map›Paper›PMID 34650889›Full record

ArticleCureus2021

COVID-19-Associated Pneumomediastinum and Pneumothorax: A Case Series.

Ankita Kabi, Nidhi Kaeley, Takshak Shankar, Shrirang Joshi, Pradeep Kumar Roul

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 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
1.3field-weighted citation impact, top 18% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

5 authors at 2 institutions in 1 country.

Ankita KabiEmergency Medicine, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Nidhi KaeleyEmergency Medicine, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Takshak ShankarEmergency Medicine, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Shrirang JoshiEmergency Medicine, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
Pradeep Kumar RoulRadiology, All India Institute of Medical Sciences, Rishikesh, Rishikesh, IND.
All India Institute of Medical Sciences RishikeshSeema Dental College and Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease-19 (COVID-19) causes mild to moderate illness in most patients but in some cases a severe illness may manifest. Such patients usually present with hypoxaemic respiratory failure due to acute lung injury caused by a viral infection and host-mediated cytokine storm. The characteristic radiographic findings are ground-glass opacities with consolidation in posterior basal areas of bilateral lungs and rarely pneumothorax (PTX) and pneumomediastinum (PM). The incidence of these findings was notably higher in the second wave of the pandemic in India in 2021 as compared to the first wave in 2020. The etiopathogenesis of this life-threatening condition can be due to Macklin phenomenon post-cytokine-mediated diffuse alveolar injury, patient self-inflicted lung injury (P-SILI), and barotrauma in mechanically ventilated patients. The presence of pneumomediastinum is associated with higher mortality rates, prolonged intensive care unit (ICU) stays making it a poor prognostic marker. There is no consensus regarding its management in COVID-19 patients although both aggressive and conservative strategies have been tried.

Indexed as

covid-19macklin phenomenonpatient self-induced lung injurypneumomediastinumpneumothorax

Identifiers

PMID34650889
PMCPMC8489803
OpenAlexW3198165199

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.