Evidence map›Paper›PMID 34829436›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Urinary SARS-CoV-2 RNA Is an Indicator for the Progression and Prognosis of COVID-19.

Lu Zhang, Maoqing Tian, Yuan Song, Wei Liang, Xiaogang Li, Yongqing Tong, Huiming Wang

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. 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
0.3field-weighted citation impact, top 44% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Lu ZhangDepartment of Nephrology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Maoqing TianDepartment of Nephrology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Yuan SongDepartment of Nephrology, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Wei LiangDepartment of Nephrology, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0002-1098-5662
Xiaogang LiDivision of Nephrology, Department of Medicine, Mayo Clinic, Rochester, MN 55905, USA.
Yongqing TongDepartment of Laboratory Science, Renmin Hospital of Wuhan University, Wuhan 430060, China.
Huiming WangDepartment of Nephrology, Renmin Hospital of Wuhan University, Wuhan 430060, China.ORCID 0000-0002-1706-2342
Wuhan University · CNMayo Clinic in Arizona · US

Funding

The crosstalk of DNA and lysine methyltransferases in ADPKD.R01DK126662 · NIDDK · MAYO CLINIC ROCHESTER · PI Xiaogang Li · 2020 to 2026
$3.0M
ADPKD: Understanding immunosuppression mechanisms and discovering treatmentR01DK129241 · NIDDK · MAYO CLINIC ROCHESTER · PI LI, XIAOGANG · 2021 to 2024
$1.8M
National Natural Science Foundation of China 81370800,81800614NIDDK NIH HHS R01 DK126662NIDDK NIH HHS R01 DK129241NIH HHS R01 DK126662the Key Project on Science and Technology Innovation of Hubei Province 2019ACA137
6 · The paper itself

Abstract

backgroundWe aimed to analyze clinical characteristics and find potential factors to predict poor prognosis in patients with coronavirus disease 2019 (COVID-19).

methodsWe analyzed the clinical characteristics and laboratory tests of COVID-19 patients and detected SARS-CoV-2 RNA in urine sediments collected from 53 COVID-19 patients enrolled in Renmin Hospital of Wuhan University from 31 January 2020 to 18 February 2020 with qRT-PCR analysis. Then, we classified those patients based on clinical conditions (severe or non-severe syndrome) and urinary SARS-CoV-2 RNA (U

resultsWe found that COVID-19 patients with severe syndrome (severe patients) showed significantly higher positive rate (11 of 23, 47.8%) of urinary SARS-CoV-2 RNA than non-severe patients (4 of 30, 13.3%,

conclusionsThis study indicated that urinary SARS-CoV-2 RNA detected in urine specimens can be used to predict the progression and prognosis of COVID-19 severity.

Indexed as

COVID-19endotheliumindicatorrenal pathologySARS-CoV-2

Identifiers

PMID34829436
PMCPMC8619898
OpenAlexW3133070143

What OpenQuestion holds

Textmetadata
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.