Evidence map›Paper›PMID 34188928›Full record

ArticleClinical case reports2021

Pleural empyema associated with alveolar-pleural fistulas in severe acute respiratory syndrome coronavirus 2.

Duilio Divisi, Gino Zaccagna, Chiara Angeletti, Elena Cicerone, Andrea De Vico, Riccardo Moretti, Giovanna Imbriglio, Nadia Carbuglia, Gina Rosaria Quaglione, Sofia Chiatamone Ranieri and 1 more

Open access · goldAbstract readCase Reports
In one paragraph

Article in Clinical case reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

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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

11 authors at 2 institutions in 2 countries.

Duilio DivisiDepartment of MeSVA Thoracic Surgery Unit Giuseppe Mazzini" Hospital University of L'Aquila Teramo Italy.ORCID https://orcid.org/0000-0002-8137-7533
Gino ZaccagnaDepartment of MeSVA Thoracic Surgery Unit Giuseppe Mazzini" Hospital University of L'Aquila Teramo Italy.
Chiara AngelettiIntensive Care Unit Giuseppe Mazzini" Hospital Teramo Italy.
Elena CiceroneDivision of Pathology and Histology "Giuseppe Mazzini" Hospital Teramo Italy.
Andrea De VicoDepartment of MeSVA Thoracic Surgery Unit Giuseppe Mazzini" Hospital University of L'Aquila Teramo Italy.ORCID https://orcid.org/0000-0002-3369-5676
Riccardo MorettiIntensive Care Unit Giuseppe Mazzini" Hospital Teramo Italy.
Giovanna ImbriglioDepartment of MeSVA Thoracic Surgery Unit Giuseppe Mazzini" Hospital University of L'Aquila Teramo Italy.
Nadia CarbugliaIntensive Care Unit Giuseppe Mazzini" Hospital Teramo Italy.
Gina Rosaria QuaglioneDivision of Pathology and Histology "Giuseppe Mazzini" Hospital Teramo Italy.
Sofia Chiatamone RanieriDepartment of Laboratory Medicine Clinical Pathology and Microbiology Laboratory Giuseppe Mazzini" Hospital Teramo Italy.
Roberto CrisciDepartment of MeSVA Thoracic Surgery Unit Giuseppe Mazzini" Hospital University of L'Aquila Teramo Italy.
Nini Hospital · LBUniversity of L'Aquila · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgery in COVID-19 disease complicated by APF represents the last life-saving treatment option. The choice of the therapeutic period to indicate this approach is fundamental. In fact, the clinical stability of patient is necessary in order to allow single-lung ventilation and to minimize postoperative sequelae.

Indexed as

alveolar‐pleural fistulaCOVID‐19 infectionempyemaprolonged air leakssurgical treatment

Identifiers

PMID34188928
PMCPMC8218321
OpenAlexW3174208948

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.