Evidence map›Paper›PMID 35796535›Full record

ArticleTherapeutic advances in respiratory disease

Comparison of initial clinic characteristics of hospitalized patients in Suzhou City during the COVID-19 Omicron wave with ancestral variant wave.

Binbin Gu, Lin Yao, Xin-Yun Zhu, Tao Zou, Yan-Jun Feng, Jin-Yu Yan, Jian-Ping Zhang, Pei-Jun Tang, Cheng Chen

Open access · goldAbstract readComparative Study
In one paragraph

Article in Therapeutic advances in respiratory disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Observational
  5. Review
  6. 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

9 authors at 2 institutions in 1 country.

Binbin GuIntensive Care Unit, The Fifth People's Hospital of Suzhou, Suzhou, China.ORCID 0000-0003-3156-2535
Lin YaoDepartment of Pulmonary, The Affiliated Infectious Hospital of Soochow University, Suzhou, China.
Xin-Yun ZhuDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, Suzhou, China.
Tao ZouDepartment of Pulmonary, The Affiliated Infectious Hospital of Soochow University, Suzhou, China.
Yan-Jun FengDepartment of Pulmonary, The Affiliated Infectious Hospital of Soochow University, Suzhou, China.
Jin-Yu YanDepartment of Pulmonary, The Affiliated Infectious Hospital of Soochow University, Suzhou, China.
Jian-Ping ZhangDepartment of Pulmonary, The Affiliated Infectious Hospital of Soochow University, 10 Guangqian Road, Suzhou 215000, China.
Pei-Jun TangDepartment of Pulmonary, The Affiliated Infectious Hospital of Soochow University, 10 Guangqian Road, Suzhou 215000, China.ORCID 0000-0002-8967-8568
Cheng ChenDepartment of Respiratory and Critical Medicine, The First Affiliated Hospital of Soochow University, 899 Pinghai Road, Suzhou 215000, China.
Soochow University · CNThe Fifth People’s Hospital of Suzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, the SARS-CoV-2 variant of concern, Omicron (B.1.1.529), was identified as responsible for a novel wave of COVID-19 worldwide. Here, we compared initial clinical features of hospitalized COVID-19 patients during recent wave (Omicron Variant) with those in ancestral variant wave (2020).

methodsThis is a cohort study of electronic health record (EHR) data from a signal center in the China. The clinical data of 116 cases of Omicron hospitalized in 2022 and 87 cases hospitalized in 2020 were collected. The comparisons were performed with the Mann-Whitney

resultsClinically, compared with 2020-cohort, Omicron-cohort was more inclined to cluster in younger population and had more nonsymptomatic (25.0%) and nonsevere cases, as well as suffered from comparable extrapulmonary complication. Radiologically, although the major computed tomography (CT) findings of both cohorts were ground-glass opacities (GGOs), crazy-paving pattern was relatively less seen in the Omicron-cohort. Based on multiple logistic regression analysis, Omicron-cohort was associated with a lower risk of complaining with fever, the presence of lung opacity, and increased Sequential Organ Failure Assessment (SOFA) score.

conclusionThis study provided the data of different patterns of clinic characteristics and reduced severity from infections that occurred in Omicron variant as compared with the outbreak of the epidemic in 2020 wave (ancestral variant).

Indexed as

COVID-19SARS-CoV-2Cohort StudiesHumansTomography, X-Ray ComputedCOVID-19Omicronpneumoniaradiologyrisk

Identifiers

PMID35796535
PMCPMC9340419
OpenAlexW4284886375

What OpenQuestion 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 OpenQuestion graph.