Evidence map›Paper›PMID 35702719›Full record

ArticleMedicina clinica (English ed.)2022

Clinical features and prognosis of COVID-19 patients with metabolic syndrome: A multicenter, retrospective study.

Jian Wang, Li Zhu, Longgen Liu, Xuebing Yan, Leyang Xue, Songping Huang, Biao Zhang, Tianmin Xu, Fang Ji, Chunyang Li and 14 more

Abstract read
In one paragraph

Article in Medicina clinica (English ed.), 2022. 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
–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

1 citing paper in PubMed.

  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

24 authors.

Jian WangDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Li ZhuDepartment of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, China.
Longgen LiuDepartment of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China.
Xuebing YanDepartment of Infectious Diseases, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Leyang XueDepartment of Critical Medicine, Huai'an No. 4 People's Hospital, Huai'an, China.
Songping HuangDepartment of Infectious Diseases, Nantong Third People's Hospital, Nantong University, Nantong, China.
Biao ZhangDepartment of Quality Control Office, Huai'an No. 4 People's Hospital, Huai'an, China.
Tianmin XuDepartment of Infectious Diseases, The Third People's Hospital of Changzhou, Changzhou, China.
Fang JiDepartment of Infectious Diseases, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Chunyang LiDepartment of Infectious Diseases, Affiliated Hospital of Xuzhou Medical University, Xuzhou, China.
Fang MingDepartment of Infectious Diseases, Nantong Third People's Hospital, Nantong University, Nantong, China.
Yun ZhaoDepartment of Infectious Diseases, The Third People's Hospital of Yangzhou, Yangzhou, China.
Juan ChengDepartment of Infectious Diseases, Yancheng Second People's Hospital, Yancheng, China.
Kang ChenDepartment of Tuberculosis, The Third People's Hospital of Changzhou, Changzhou, China.
Xiang-An ZhaoDepartment of Gastroenterology, Northern Jiangsu People's Hospital, Clinical Medical College of Yangzhou University, Yangzhou, China.
Dawen SangDepartment of Infectious Diseases, Yancheng Second People's Hospital, Yancheng, China.
Xinying GuanDepartment of Neurology, The Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Xiaobing ChenDepartment of Emergency, The Affiliated Hospital of Kangda College of Nanjing Medical University, The First People's Hospital of Lianyungang, Lianyungang, China.
Xiaomin YanDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Zhaoping ZhangDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Jiacheng LiuDepartment of Infectious Diseases, Nanjing Drum Tower Hospital Clinical College of Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Rui HuangDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.
Chuanwu ZhuDepartment of Infectious Diseases, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, China.
Chao WuDepartment of Infectious Diseases, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Few studies have investigated the impacts of metabolic syndrome (MS) on coronavirus disease 2019 (COVID-19). We described the clinical features and prognosis of confirmed COVID-19 patients with MS during hospitalization and after discharge. Methods: Two hundred and thirty-three COVID-19 patients from the hospitals in 8 cities of Jiangsu, China were retrospectively included. Clinical characteristics of COVID-19 patients were described and risk factors of severe illness were analyzed by logistic regression analysis. Results: Forty-five (19.3%) of 233 COVID-19 patients had MS. The median age of COVID-19 patients with MS was significantly higher than non-MS patients (53.0 years vs. 46.0 years, Conclusions: 19.3% of COVID-19 patients had MS in our study. COVID-19 patients with MS are more likely to develop severe complications and have worse prognosis. More attention should be paid to COVID-19 patients with MS.

Indexed as

ARDS, acute respiratory distress syndromeBMI, body mass indexCoronavirus disease 2019COVID-19, coronavirus disease 2019FBG, fasting blood glucoseICU, intensive care unitsIQR, interquartile rangeMetabolic syndromeMS, metabolic syndromePrognosisSARS-CoV-2, severe acute respiratory syndrome coronavirus 2SARS, severe acute respiratory syndromeTC, total cholesterolTG, triglyceridesWHO, world Health Organization

Identifiers

PMID35702719
PMCPMC9181760

What OpenQuestion holds

Textmetadata
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.