Evidence map›Paper›PMID 35054262›Full record

ArticleDiagnostics (Basel, Switzerland)2022

COVID-19 Pulmonary Pathology: The Experience of European Pulmonary Pathologists throughout the First Two Waves of the Pandemic.

Francesco Fortarezza, Federica Pezzuto, Paul Hofman, Izidor Kern, Angel Panizo, Jan von der Thüsen, Sergei Timofeev, Gregor Gorkiewicz, Sabina Berezowska, Laurence de Leval and 3 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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
1.4field-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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. First report from the German COVID-19 autopsy registry.The Lancet regional health. Europe · 2022
    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

13 authors at 8 institutions in 8 countries.

Francesco FortarezzaDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova Medical School, Via A. Gabelli 61, 35121 Padova, Italy.
Federica PezzutoDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova Medical School, Via A. Gabelli 61, 35121 Padova, Italy.ORCID 0000-0002-8023-3108
Paul HofmanLaboratory of Clinical and Experimental Pathology, FHU OncoAge, Biobank BB-0033-00025, University Côte d'Azur, 06100 Nice, France.ORCID 0000-0003-0431-9353
Izidor KernDepartment of Pathology, University Clinic of Respiratory and Allergic Diseases, 4204 Golnik, Slovenia.
Angel PanizoComplejo Hospitalario de Navarra, 31008 Pamplona, Navarra, Spain.ORCID 0000-0001-8405-7378
Jan von der ThüsenDepartment of Pathology, Erasmus MC, 3015 Rotterdam, The Netherlands.ORCID 0000-0001-9699-4860
Sergei TimofeevMoscow City Hospital 40, 81146 Moscow, Russia.ORCID 0000-0002-7098-9024
Gregor GorkiewiczInstitute of Pathology, Medical University of Graz, 8036 Graz, Austria.ORCID 0000-0003-1149-4782
Sabina BerezowskaInstitute of Pathology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 25, 1011 Lausanne, Switzerland.ORCID 0000-0001-5442-9791
Laurence de LevalInstitute of Pathology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 25, 1011 Lausanne, Switzerland.ORCID 0000-0003-3994-516X
Cristian Ortiz-VillalónDepartment of Pathology, Karolinska University Hospital, 17177 Solna, Sweden.
Francesca LunardiDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova Medical School, Via A. Gabelli 61, 35121 Padova, Italy.ORCID 0000-0001-5792-4683
Fiorella CalabreseDepartment of Cardiac, Thoracic, Vascular Sciences and Public Health, University of Padova Medical School, Via A. Gabelli 61, 35121 Padova, Italy.
University of Padua · ITUniversity of Lausanne · CHComplejo Hospitalario de Navarra · ESErasmus MC · NLKarolinska University Hospital · SEMedical University of Graz · ATMoscow City Hospital No 29 · RUUniversity Clinic of Pulmonary and Allergic Diseases Golnik · SI

Funding

Netherlands Organisation for Health Research and Development 10430 01 201 0016
6 · The paper itself

Abstract

Autoptic studies of patients who died from COVID-19 constitute an important step forward in improving our knowledge in the pathophysiology of SARS-CoV-2 infection. Systematic analyses of lung tissue, the organ primarily targeted by the disease, were mostly performed during the first wave of the pandemic. Analyses of pathological lesions at different times offer a good opportunity to better understand the disease and how its evolution has been influenced mostly by new SARS-CoV-2 variants or the different therapeutic approaches. In this short report we summarize responses collected from a questionnaire survey that investigated important pathological data during the first two pandemic waves (spring-summer 2020; autumn-winter 2020-2021). The survey was submitted to expert lung pathologists from nine European countries involved in autoptic procedures in both pandemic waves. The frequency of each lung lesion was quite heterogeneous among the participants. However, a higher frequency of pulmonary superinfections, both bacterial and especially fungal, was observed in the second wave compared to the first. Obtaining a deeper knowledge of the pathological lesions at the basis of this complex and severe disease, which change over time, is crucial for correct patient management and treatment. Autoptic examination is a useful tool to achieve this goal.

Indexed as

autopsyCAPACOVID-19lung pathologySARS-CoV-2

Identifiers

PMID35054262
PMCPMC8775196
OpenAlexW4205933063

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.