Evidence map›Paper›PMID 37781778›Full record

ArticleEpidemiology and infection2023

Association of SARS-CoV-2 viral load with abnormal laboratory characteristics and clinical outcomes in hospitalised COVID-19 patients.

Lilan Zheng, Liping Qiu, Luxi Wu, Jianwei Wang, Haihua Xie, Junjun Wang, Yi Huang, Fawen Chen

Abstract read
In one paragraph

Article in Epidemiology and infection, 2023. 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

8 authors.

Lilan ZhengDepartment of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China.
Liping QiuDepartment of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China.
Luxi WuDepartment of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China.
Jianwei WangDepartment of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China.
Haihua XieDepartment of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China.
Junjun WangDepartment of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China.
Yi HuangShengli Clinical Medical College, Fujian Medical University, Fuzhou, Fujian, China.
Fawen ChenDepartment of Clinical Laboratory, Fujian Provincial Hospital South Branch, Fuzhou, Fujian, China.ORCID 0009-0002-2417-4104

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a retrospective, analytical cross-sectional and single-centre study that included 190 hospitalised COVID-19 patients in the Fujian Provincial Hospital South Branch between December 2022 and January 2023 to analyse the correlation of viral loads of throat swabs with clinical progression and outcomes. To normalise the Ct value as quantification of viral loads, we used RNase P gene as internal control gene and subtracted the Ct value of SARS-CoV-2 N gene from the Ct value of RNase P gene, termed △Ct. Most patients were discharged (84.2%), and only 10 (5.6%) individuals who had a lower △Ct value died. The initial △Ct value of participants was also significantly correlated with some abnormal laboratory characteristics, and the duration time of SARS-CoV-2 was longer in patients with severe symptoms and a lower △Ct value at admission. Our study suggested that the △Ct value may be used as a predictor of disease progression and outcomes in hospitalised COVID-19 patients.

Indexed as

COVID-19Cross-Sectional StudiesHumansRetrospective StudiesRibonuclease PSARS-CoV-2Viral LoadRibonuclease PCOVID-19epidemiologymolecular biology

Identifiers

PMID37781778
PMCPMC10600908

What OpenQuestion holds

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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 OpenQuestion graph.