Evidence map›Paper›PMID 38691298›Full record

ArticleGeroScience2024

Autopsy findings in cancer patients infected with SARS-CoV-2 show a milder presentation of COVID-19 compared to non-cancer patients.

Éva Kocsmár, Ildikó Kocsmár, Flóra Elamin, Laura Pápai, Ákos Jakab, Tibor Várkonyi, Tibor Glasz, Gergely Rácz, Adrián Pesti, Krisztina Danics and 5 more

Open access · hybridAbstract readComparative Study
In one paragraph

Article in GeroScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 24% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

15 authors at 2 institutions in 1 country.

Éva Kocsmár *Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary. kocsmar.eva@semmelweis.hu.ORCID 0000-0003-3061-1323
Ildikó Kocsmár *Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-8031-2463
Flóra ElaminDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Laura PápaiDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Ákos JakabDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Tibor VárkonyiDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Tibor GlaszDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Gergely RáczDepartment of Pathology and Experimental Cancer Research, Semmelweis University, Budapest, Hungary.
Adrián PestiDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Krisztina DanicsDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
András KissDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.
Gergely RöstNational Laboratory for Health Security, University of Szeged, Szeged, Hungary.ORCID 0000-0001-9476-3284
Éva BeliczaHealth Services Management Training Centre, Faculty of Health and Public Administration, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-2472-1318
Zsuzsa SchaffDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary.ORCID 0000-0002-6429-8059
Gábor LotzDepartment of Pathology, Forensic and Insurance Medicine, Semmelweis University, Budapest, Hungary. lotz.gabor@med.semmelweis-univ.hu.ORCID 0000-0002-6921-8978
Semmelweis University · HUUniversity of Szeged · HU

Funding

Emberi Eroforrások Minisztériuma I/82-5/2022/EKFInnovációs és Technológiai Minisztérium ÚNKP-23-4-II-SE-24Nemzeti Kutatási, Fejlesztési és Innovaciós Alap K_22 142604Nemzeti Kutatási, Fejlesztési és Innovaciós Alap RRF-2.3.1-21-2022-00006Nemzeti Kutatási, Fejlesztési és Innovaciós Alap TKP2021-EGA-30
6 · The paper itself

Abstract

COVID-19, caused by SARS-CoV-2, manifests with differing severity across distinct patient subgroups, with outcomes influenced by underlying comorbidities such as cancer, which may cause functional and compositional alterations of the immune system during tumor progression. We aimed to investigate the association of SARS-CoV-2 infection and its complications with cancer in a large autopsy series and the role of COVID-19 in the fatal sequence leading to death. A total of 2641 adult autopsies were investigated, 539 of these were positive for SARS-CoV-2. Among the total number of patients analyzed, 829 had active cancer. Overall, the cohort included 100 patients who simultaneously had cancer and SARS-CoV-2 infection. The course of COVID-19 was less severe in cancer patients, including a significantly lower incidence of viral and bacterial pneumonia, occurring more frequently as a contributory disease or coexisting morbidity, or as SARS-CoV-2 positivity without viral disease. SARS-CoV-2 positivity was more frequent among non-metastatic than metastatic cancer cases, and in specific tumor types including hematologic malignancies. COVID-19 was more frequently found to be directly involved in the fatal sequence in patients undergoing active anticancer therapy, but less frequently in perioperative status, suggesting that the underlying malignancy and consequent surgery are more important factors leading to death perioperatively than viral disease. The course of COVID-19 in cancer patients was milder and balanced during the pandemic. This may be due to relative immunosuppressed status, and the fact that even early/mild viral infections can easily upset their condition, leading to death from their underlying cancer or its complications.

Indexed as

AutopsyCOVID-19NeoplasmsSARS-CoV-2AdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedSeverity of Illness IndexAutopsyCancerCOVID-19PathologyPneumoniaSARS-CoV-2

Identifiers

PMID38691298
PMCPMC11493920
OpenAlexW4396553792

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.