Evidence map›Paper›PMID 38627797›Full record

ArticleBMC urology2024

Hemorrhagic cystitis induced by JC polyomavirus infection following COVID-19: a case report.

Yuanjie Lv, Xiaoping Liu

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Yuanjie LvDepartment of Infection, Hospital of Traditional Chinese Medicine, Xinchang County, No.188 Shijiu Feng Road, Qixing Street, Shaoxing, 312500, China. lvyuanjie134@163.com.
Xiaoping LiuDepartment of Infection, Hospital of Traditional Chinese Medicine, Xinchang County, No.188 Shijiu Feng Road, Qixing Street, Shaoxing, 312500, China.
Jining Traditional Chinese Medicine Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

JC polyomavirus (JCPyV) is a human polyomavirus that can establish lifelong persistent infection in the majority of adults. It is typically asymptomatic in immunocompetent individuals. However, there is a risk of developing progressive multifocal leukoencephalopathy (PML) in immunocompromised or immunosuppressed patients. Though JCPyV commonly resides in the kidney-urinary tract, its involvement in urinary system diseases is extremely rare. Here, we reported a case of a 60-year-old male patient with coronavirus disease 2019 (COVID-19) infection who developed hemorrhagic cystitis after receiving treatment with nirmatrelvir 300 mg/ritonavir 100 mg quaque die (QD). Subsequent metagenomic next-generation sequencing (mNGS) confirmed the infection to be caused by JCPyV type 2. Then, human immunoglobulin (PH4) for intravenous injection at a dose of 25 g QD was administered to the patient. Three days later, the hematuria resolved. This case illustrates that in the setting of compromised host immune function, JCPyV is not limited to causing central nervous system diseases but can also exhibit pathogenicity in the urinary system. Moreover, mNGS technology facilitates rapid diagnosis of infectious etiology by clinical practitioners, contributing to precise treatment for patients.

Indexed as

COVID-19Cystitis, HemorrhagicJC VirusLeukoencephalopathy, Progressive MultifocalPolyomavirus InfectionsHumansMaleMiddle AgedCoronavirus disease 2019Hemorrhagic cystitisJC polyomavirusMetagenomic next-generation sequencing

Identifiers

PMID38627797
PMCPMC11020351
OpenAlexW4394850184

What OpenQuestion holds

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LicenceCC BY
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.