Evidence map›Paper›PMID 37361936›Full record

ArticleInfection and drug resistance2023

Risk Factors and Disease Profile Associated with the Nucleic Acid Conversion Time of COVID-19 Patients Infected with the SARS-CoV-2 Omicron Variant in Fangcang Shelter Hospitals.

Shaolei Ma, Haofei Wang, Kongbo Zhu, Hui Chen, Jianfeng Xie, Yingzi Huang

Open access · goldAbstract read
In one paragraph

Article in Infection and drug resistance, 2023. 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
0.2field-weighted citation impact, top 50% 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

6 authors at 1 institution in 1 country.

Shaolei Ma *Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Nanjing, 210009, People's Republic of China.ORCID 0000-0001-9069-4138
Haofei Wang *Jiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Nanjing, 210009, People's Republic of China.ORCID 0000-0003-2845-7558
Kongbo ZhuJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Nanjing, 210009, People's Republic of China.ORCID 0000-0002-0550-0077
Hui ChenJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Nanjing, 210009, People's Republic of China.
Jianfeng XieJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Nanjing, 210009, People's Republic of China.
Yingzi HuangJiangsu Provincial Key Laboratory of Critical Care Medicine, Department of Critical Care Medicine, Zhongda Hospital, Nanjing, 210009, People's Republic of China.
Zhongda Hospital Southeast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study aimed to determine the clinical profile connected to the nucleic acid conversion time of COVID-19 patients harboring the SARS-CoV-2 Omicron variant at the hospitals at the Fangcang shelter. Methods: We reported 39,584 COVID-19 patients who were hospitalized in Shanghai, China, between April 5 and May 5, 2022, and who had contracted the Omicron strain of SARS-CoV-2. Demographic data, medical and vaccination history, clinical symptoms, and NCT were reported for the patient. Results: The median age of the patients with COVID-19 included in this study was 45 (interquartile range [IQR]: 33-54), and 64.2% of them were male. The two most prevalent comorbidities among the patients were hypertension and diabetes. Additionally, we discovered that the percentage of unimmunized patients was negligible (13.2%). We found that male sex, age under 60, and other comorbidities including hypertension and diabetes are significant risk factors for extending NCT when we analyzed the risk variables for NCT. We discovered that vaccination with two or more doses can significantly reduce NCT. The analysis of the young (18-59 years) and older (60 years) populations produced the same outcomes. Conclusion: Our findings confirm that a full COVID-19 vaccine series or booster doses are highly recommended to significantly reduce NCT. In order to reduce NCT, it is also advised that elderly people who have no clear contraindications take vaccination shots.

Indexed as

COVID-19Fangcang shelter hospitalsnucleic acid conversion timevaccination

Identifiers

PMID37361936
PMCPMC10290462
OpenAlexW4381429947

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.