Evidence map›Paper›PMID 32454835›Full record

ArticleCase reports in medicine2020

Cocaine-Induced Giant Bullous Emphysema.

Steven Douedi, Vandan D Upadhyaya, Ishan Patel, Usman Mazahir, Eric Costanzo, Mohammad A Hossain

Open access · goldAbstract readCase Reports
In one paragraph

Article in Case reports in medicine, 2020. 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
0.5field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  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 at 1 institution in 1 country.

Steven DouediDepartment of Medicine, Jersey Shore University Medical Center, Hackensack Meridian Health, Neptune, NJ 07753, USA.ORCID https://orcid.org/0000-0001-5006-828X
Vandan D UpadhyayaDepartment of Medicine, Jersey Shore University Medical Center, Hackensack Meridian Health, Neptune, NJ 07753, USA.
Ishan PatelDepartment of Medicine, Jersey Shore University Medical Center, Hackensack Meridian Health, Neptune, NJ 07753, USA.
Usman MazahirDepartment of Pulmonary and Critical Care Medicine, Jersey Shore University Medical Center, Hackensack Meridian Health, Neptune, NJ 07753, USA.
Eric CostanzoDepartment of Pulmonary and Critical Care Medicine, Jersey Shore University Medical Center, Hackensack Meridian Health, Neptune, NJ 07753, USA.
Mohammad A HossainDepartment of Medicine, Jersey Shore University Medical Center, Hackensack Meridian Health, Neptune, NJ 07753, USA.ORCID https://orcid.org/0000-0003-3680-9517
Hackensack Meridian Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmphysematous bullae, defined as airspaces of greater than or equal to one centimeter in diameter, have a variety of etiologies such as tobacco use and alpha-1 antitrypsin being the most common. Emphysematous bullae have also been reported in patients using cocaine usually involving the lung periphery and sparing the central lung parenchyma. We present a case of a male with a history of cocaine abuse found to have a singular giant emphysematous bulla occupying >95% of the right hemithorax requiring video-assisted thoracic surgery (VATS) with a favorable outcome.

conclusionCocaine use is a rare but identifiable factor that can cause giant bullous emphysema (GBE) resulting in severe complications and even death. The purpose of this case presentation is to support early identification and treatment of GBE using bullectomy with VATS, improving outcomes and decreasing morbidity and mortality.

Identifiers

PMID32454835
PMCPMC7225852
OpenAlexW3023237402

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.