Evidence map›Paper›PMID 37842587›Full record

ArticleHeliyon2023

Common pathological findings in the heart in COVID-19-related sudden death cases: An autopsy case series.

Daisuke Kyuno, Masatoshi Tateno, Yusuke Ono, Kazufumi Magara, Kumi Takasawa, Akira Takasawa, Makoto Osanai

Open access · goldAbstract readCase Reports
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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

7 authors at 2 institutions in 1 country.

Daisuke KyunoDepartment of Pathology, Sapporo Medical University, Sapporo, Japan.
Masatoshi TatenoDepartment of Surgical Pathology, Kushiro Red Cross Hospital, Kushiro, Japan.
Yusuke OnoDepartment of Pathology, Sapporo Medical University, Sapporo, Japan.
Kazufumi MagaraDepartment of Pathology, Sapporo Medical University, Sapporo, Japan.
Kumi TakasawaDepartment of Pathology, Sapporo Medical University, Sapporo, Japan.
Akira TakasawaDepartment of Pathology, Sapporo Medical University, Sapporo, Japan.
Makoto OsanaiDepartment of Pathology, Sapporo Medical University, Sapporo, Japan.
Sapporo Medical University · JPKushiro Rosai Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cardiomyopathy is a leading cause of sudden out-of-hospital death after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) vaccination. Such unexpected COVID-19-related cardiomyopathies are challenging to diagnose as specific pathological findings are not always identified. Case summary: We reported the autopsy findings of two cases of sudden death due to COVID-19-related cardiomyopathies. In one case, death occurred after SARS-CoV-2 infection, while in the other, after COVID-19 vaccination. We found common pathological findings in both hearts: decreased staining intensity with special stains, loss of rhabdomeres, and multivacuolation in cardiomyocytes without inflammatory cell infiltration. The remaining organs showed no findings that could have contributed to the deaths. Conclusion: In cases of sudden death after SARS-CoV-2 infection or COVID-19 vaccination, the decreased staining intensity with special stains may aid the diagnosis of sudden death due to COVID-19-related cardiomyopathy, even when H&E staining shows few findings.

Indexed as

Autopsy case seriescardiomyopathyCoronavirus disease 2019Sudden deathVaccination

Identifiers

PMID37842587
PMCPMC10568345
OpenAlexW4387266951

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.