Evidence map›Paper›PMID 34031537›Full record

SynthesisModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2021

Histopathological findings and clinicopathologic correlation in COVID-19: a systematic review.

Stefania Caramaschi, Meghan E Kapp, Sara E Miller, Rosana Eisenberg, Joyce Johnson, Garretson Epperly, Antonino Maiorana, Guido Silvestri, Giovanna A Giannico

Open access · greenAbstract readSystematic Review
In one paragraph

Synthesis in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

61 citing papers in PubMed, 114 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. AnJournal of virology · 2024
    Article
  9. Review
  10. Article
  11. COVID-19: a multi-organ perspective.Frontiers in cellular and infection microbiology · 2024
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Histopathology of COVID-19: An illustration of the findings from fatal cases.Biomedica : revista del Instituto Nacional de Salud · 2023
    Article
  20. Review

1 more citing papers are in PubMed but not listed here.

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 4 institutions in 2 countries.

Stefania CaramaschiDepartment of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia-AOU Policlinico of Modena, Modena, Italy.
Meghan E KappDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Sara E MillerDepartment of Pathology, Duke University Medical Center, Durham, NC, USA.
Rosana EisenbergDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Joyce JohnsonDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA.
Garretson EpperlyHunt Optics & Imaging, Inc, Pittsburgh, PA, USA.
Antonino MaioranaDepartment of Medical and Surgical Sciences for Children and Adults, University of Modena and Reggio Emilia-AOU Policlinico of Modena, Modena, Italy.
Guido SilvestriEmory Vaccine Center and Yerkes National Primate Research Center, Emory University, Atlanta, GA, USA.
Giovanna A GiannicoDepartment of Pathology, Microbiology and Immunology, Vanderbilt University Medical Center, Nashville, TN, USA. giovanna.giannico@vumc.org.
Vanderbilt University Medical Center · USUniversity of Modena and Reggio Emilia · ITDuke Medical Center · USEmory University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severe acute respiratory syndrome Coronavirus-2 (SARS-CoV-2) pandemic has had devastating effects on global health and worldwide economy. Despite an initial reluctance to perform autopsies due to concerns for aerosolization of viral particles, a large number of autopsy studies published since May 2020 have shed light on the pathophysiology of Coronavirus disease 2019 (COVID-19). This review summarizes the histopathologic findings and clinicopathologic correlations from autopsies and biopsies performed in patients with COVID-19. PubMed and Medline (EBSCO and Ovid) were queried from June 4, 2020 to September 30, 2020 and histopathologic data from autopsy and biopsy studies were collected based on 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 58 studies reporting 662 patients were included. Demographic data, comorbidities at presentation, histopathologic findings, and virus detection strategies by organ system were collected. Diffuse alveolar damage, thromboembolism, and nonspecific shock injury in multiple organs were the main findings in this review. The pathologic findings emerging from autopsy and biopsy studies reviewed herein suggest that in addition to a direct viral effect in some organs, a unifying pathogenic mechanism for COVID-19 is ARDS with its known and characteristic inflammatory response, cytokine release, fever, inflammation, and generalized endothelial disturbance. This study supports the notion that autopsy studies are of utmost importance to our understanding of disease features and treatment effect to increase our knowledge of COVID-19 pathophysiology and contribute to more effective treatment strategies.

Indexed as

COVID-19HumansRespiratory Distress SyndromeSARS-CoV-2

Identifiers

PMID34031537
PMCPMC8141548
OpenAlexW3164273379

What OpenQuestion holds

Textmetadata
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.