Evidence map›Paper›PMID 38360539›Full record

ArticleBMC infectious diseases2024

Retrospective study about clinical severity and epidemiological analysis of the COVID-19 Omicron subvariant lineage-infected patients in Hohhot, China.

Yanhai Wang, Guohui Yu, Jingru Shi, Xiaqing Zhang, Jianxin Huo, Meng Li, Jiaxi Chen, Liyuan Yu, Yan Li, Zhiliang Han and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2024. 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
0.8field-weighted citation impact, top 32% 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, 2 citations in OpenAlex.

  1. Review
  2. 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

14 authors at 2 institutions in 1 country.

Yanhai Wang *Clinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Guohui Yu *Hohhot Dian Medical Laboratory, Key Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Dian Diagnostics Group Co., Ltd. No, 329 Jin Peng Street, Xihu District, Hangzhou, Zhejiang Province, 310030, China.
Jingru ShiClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Xiaqing ZhangClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Jianxin HuoClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Meng LiClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Jiaxi ChenClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Liyuan YuClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Yan LiClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Zhiliang HanClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Jianwen ZhangClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Xuna RenClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Yujie WangClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China.
Wu YuntanaClinical Laboratory Department, Hohhot First Hospital, Hohhot, 010000, China. 2893308510@qq.com.
Hohhot First Hospital · CNDian Diagnostics (China) · CN

Funding

Medical and Health Science and Technology in 2021 from The Inner Mongolia Autonomous Region 202201483
6 · The paper itself

Abstract

backgroundFear of a global public health issue and fresh infection wave in the persistent COVID-19 pandemic has been enflamed by the appearance of the novel variant Omicron BF.7 lineage. Recently, it has been seeing the novel Omicron subtype BF.7 lineage has sprawled exponentially in Hohhot. More than anything, risk stratification is significant to ascertain patients infected with COVID-19 who the most need in-hospital or in-home management. The study intends to understand the clinical severity and epidemiological characteristics of COVID-19 Omicron subvariant BF.7. lineage via gathering and analyzing the cases with Omicron subvariant in Hohhot, Inner Mongolia.

methodsBased upon this, we linked variant Omicron BF.7 individual-level information including sex, age, symptom, underlying conditions and vaccination record. Further, we divided the cases into various groups and assessed the severity of patients according to the symptoms of patients with COVID-19. Clinical indicators and data might help to predict disadvantage outcomes and progression among Omicron BF.7 patients.

resultsIn this study, in patients with severe symptoms, some indicators from real world data such as white blood cells, AST, ALT and CRE in patients with Omicron BF.7 in severe symptoms were significantly higher than mild and asymptomatic patients, while some indicators were significantly lower.

conclusionsAbove results suggested that the indicators were associated with ponderance of clinical symptoms. Our survey emphasized the value of timely investigations of clinical data obtained by systemic study to acquire detailed information.

Indexed as

COVID-19ChinaHumansPandemicsPublic HealthRetrospective StudiesClinical indicatorsGlobal public healthOmicron BF.7OutbreakRisk stratification

Identifiers

PMID38360539
PMCPMC10870667
OpenAlexW4391844220

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.