Evidence map›Paper›PMID 34910174›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Ultrasound-Guided Minimally Invasive Tissue Sampling: A Minimally Invasive Autopsy Strategy During the COVID-19 Pandemic in Brazil, 2020.

Amaro Nunes Duarte-Neto, Luiz Fernando Ferraz da Silva, Renata Aparecida de Almeida Monteiro, Jair Theodoro Filho, Thabata Larissa Luciano Ferreira Leite, Catia Sales de Moura, Michele Soares Gomes-Gouvêa, João Renato Rebellho Pinho, Cristina Takami Kanamura, Ellen Pierre de Oliveria and 8 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.1field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

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  12. Minimally Invasive Tissue Sampling Surveillance Alliance-Facilitating the Expansion of Pathology-Based Mortality Surveillance.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2021
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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

18 authors at 3 institutions in 1 country.

Amaro Nunes Duarte-NetoBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Luiz Fernando Ferraz da SilvaBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Renata Aparecida de Almeida MonteiroBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Jair Theodoro FilhoBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Thabata Larissa Luciano Ferreira LeiteBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Catia Sales de MouraBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Michele Soares Gomes-GouvêaDepartamento de Gastroenterologia, Laboratório de Investigação Médica 07, São Paulo, Brazil.
João Renato Rebellho PinhoDepartamento de Gastroenterologia, Laboratório de Investigação Médica 07, São Paulo, Brazil.
Cristina Takami KanamuraInstituto Adolfo Lutz, São Paulo, Brazil.
Ellen Pierre de OliveriaDepartamento de Cardiopneumologia, Instituto do Coração, São Paulo, Brazil.
Kely Cristina Soares BispoBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Cássia ArrudaBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Aline Brito Dos SantosBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Flavia Cristina Gonçalves AquinoBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Elia Garcia CaldiniBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Thais MauadBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Paulo Hilário Nascimento SaldivaBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Marisa DolhnikoffBrazilian Image Autopsy Study Group, Departamento de Patologia, Laboratório de Investigação Médica 05, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil.
Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRHospital do Coração · BRInstituto Adolfo Lutz · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 401825/2020-5Faculdade de Medicina da University of São Paulo HC-024-2020Fundação de Amparo à Pesquisa do Estado de São Paulo 2013/17159-2Gates Foundation INV-002396
6 · The paper itself

Abstract

backgroundMinimally invasive autopsies, also known as minimally invasive tissue sampling (MITS), have proven to be an alternative to complete diagnostic autopsies (CDAs) in places or situations where this procedure cannot be performed. During the coronavirus disease 2019 (COVID-19) pandemic, CDAs were suspended by March 2020 in Brazil to reduce biohazard. To contribute to the understanding of COVID-19 pathology, we have conducted ultrasound (US)-guided MITS as a strategy.

methodsThis case series study includes 80 autopsies performed in patients with COVID-19 confirmed by laboratorial tests. Different organs were sampled using a standardized MITS protocol. Tissues were submitted to histopathological analysis as well as immunohistochemical and molecular analysis and electron microscopy in selected cases.

resultsUS-guided MITS proved to be a safe and highly accurate procedure; none of the personnel were infected, and accuracy ranged from 69.1% for kidney, up to 90.1% for lungs, and reaching 98.7% and 97.5% for liver and heart, respectively. US-guided MITS provided a systemic view of the disease, describing the most common pathological findings and identifying viral and other infectious agents using ancillary techniques, and also allowed COVID-19 diagnosis confirmation in 5% of the cases that were negative in premortem and postmortem nasopharyngeal/oropharyngeal swab real-time reverse-transcription polymerase chain reaction.

conclusionsOur data showed that US-guided MITS has the capacity similar to CDA not only to identify but also to characterize emergent diseases.

Indexed as

COVID-19AutopsyBrazilCOVID-19 TestingHumansPandemicsSARS-CoV-2Ultrasonography, Interventionalautopsy safetyCOVID-19minimally invasive autopsyminimally invasive tissue samplingpathologyultrasound guided biopsy

Identifiers

PMID34910174
PMCPMC8672862
OpenAlexW4200393869

What OpenQuestion holds

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LicenceCC BY
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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.