Evidence map›Paper›PMID 35875057›Full record

ArticleAnnals of medicine and surgery (2012)2022

Limitation of tube thoracostomy in treating pneumothorax in COVID-19 infected patients. A retrospective cohort study.

Amer Al-Ani, Heba AbuZayda, Hala Ahmed, Majd Alobied, Nijamudeen Kabeer, Anmar Atasi, Vidya Jakapure, Toufic Dabit, Mohammad Al-Ani

Open access · diamondAbstract read
In one paragraph

Article in Annals of medicine and surgery (2012), 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
0.5field-weighted citation impact, top 36% 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

9 authors at 5 institutions in 3 countries.

Amer Al-AniCollege of Medicine, Ajman University, Ajman, United Arab Emirates.
Heba AbuZaydaCollege of Medicine, Sharjah University, Sharjah, United Arab Emirates.
Hala AhmedCollege of Medicine, Sharjah University, Sharjah, United Arab Emirates.
Majd AlobiedKings College Hospital, London, United Kingdom.
Nijamudeen KabeerSheikh Khalifa Medical City Ajman, Ajman, United Arab Emirates.
Anmar AtasiSheikh Khalifa Medical City Ajman, Ajman, United Arab Emirates.
Vidya JakapureSheikh Khalifa Medical City Ajman, Ajman, United Arab Emirates.
Toufic DabitSchool of Medicine, University of Jordan, Jordan.
Mohammad Al-AniSchool of Medicine, University of Jordan, Jordan.
Shaikh Khalifa Medical City · AEUniversity of Jordan · JOUniversity of Sharjah · AEAjman University · AEKing's College Hospital · GB

Funding

Together: Transforming and Translating Discovery to Improve HealthKL2TR001429 · NCATS · UNIVERSITY OF FLORIDA · PI GUIRGIS, FAHEEM W, LEEUWENBURGH, CHRISTIAAN · 2015 to 2023
$5.5M
NCATS NIH HHS KL2 TR001429
6 · The paper itself

Abstract

Background: COVID Objectives: First objective is to compare the therapeutic effect of tube thoracostomy on COVID Patients and methods: This study was conducted in Sheikh Khalifa medical city Ajman, United Arab Emirates. It is a descriptive, observational, retrospective cohort study. One hundred patients were recruited from the January 1, 2020 to the December 31, 2020. Patients were divided into two groups. First group includes fifty adult COVID Results: Most of patients in trauma group (group 2) were with the age range of 20-40-year (58.8% of patients) P value was significant (<0.001). In COVID Conclusion: Therapeutic effect of tube thoracostomy in treating Adult COVID

Indexed as

BarotraumaCOVID-19Plural effusionPneumothoraxTraumaTube thoracostomy

Identifiers

PMID35875057
PMCPMC9290329
OpenAlexW4285735824

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.