Evidence map›Paper›PMID 39699512›Full record

ArticleRevista do Instituto de Medicina Tropical de Sao Paulo2024

Clinical characteristics of coronavirus disease 2019 patients with hepatitis B virus super-infection.

Shan Yu, Cunzheng Song

Abstract read
In one paragraph

Article in Revista do Instituto de Medicina Tropical de Sao Paulo, 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
–field-weighted citation impact
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.

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

2 authors.

Shan YuShanghai Jiao Tong University School of Medicine, Ren Ji Hospital, Department of Infectious Diseases, Shanghai, China.ORCID http://orcid.org/0000-0002-4321-3108
Cunzheng SongShanghai Jiao Tong University School of Medicine, Ren Ji Hospital, Department of Infectious Diseases, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 and hepatitis B disease are significant global pandemics, both of which can lead to liver damage. This study aims to report the clinical course of liver function and disease prognosis of COVID-19 patients with hepatitis B virus (HBV) super-infections. A total of 249 outpatients with COVID-19 were enrolled in this study from December 1, 2023 to February 28, 2024. Clinical characteristics, laboratory data, chest CT findings, and patients' treatment and outcomes were collected and analyzed retrospectively. Of the 249 outpatients, 37 (14.9%) were super-infected with HBV, whereas 212 (85.1%) showed no such outcome. This study found no significant differences between the two groups regarding age, gender, symptoms, complications, or chest CT findings. However, COVID-19 patients super-infected with HBV showed lower white blood cell, neutrophil, and platelet counts (p < 0.05). Additionally, total bilirubin levels were significantly higher in the SARS-CoV-2/HBV super-infected group compared to the COVID-19-only group (p = 0.022). After the first week of similar treatment, both groups showed almost identical outcomes, including hospitalization, severity, and mortality rates. Thus, SARS-CoV-2/HBV super-infection slightly affected liver function but did not worsen COVID-19 outcomes. Routine HBV monitoring and liver function tests are recommended to manage COVID-19 patients with HBV super-infections. This study found no clear indications of the need to change the therapeutic prescription for COVID-19 in cases of HBV super-infections.

Indexed as

COVID-19AdultAgedCoinfectionFemaleHepatitis BHumansLiver Function TestsMaleMiddle AgedPrognosisRetrospective StudiesSARS-CoV-2

Identifiers

PMID39699512
PMCPMC11654133

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.