Evidence map›Paper›PMID 32837747›Full record

ArticleEngineering (Beijing, China)2020

Clinical Characteristics and Outcomes of Type 2 Diabetes Patients Infected with COVID-19: A Retrospective Study.

Yingyu Chen, Jiankun Chen, Xiao Gong, Xianglu Rong, Dewei Ye, Yinghua Jin, Zhongde Zhang, Jiqiang Li, Jiao Guo

Abstract read
In one paragraph

Article in Engineering (Beijing, China), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 3 pooled it
–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

16 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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.

Yingyu ChenThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510080, China.
Jiankun ChenThe Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Xiao GongSchool of Public Health, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Xianglu RongGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine & Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of the People's Republic of China & Key Unit of Modulating Liver to Treat Hyperlipemia SATCM & Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Dewei YeGuangdong Metabolic Diseases Research Center of Integrated Chinese and Western Medicine & Key Laboratory of Glucolipid Metabolic Disorder, Ministry of Education of the People's Republic of China & Key Unit of Modulating Liver to Treat Hyperlipemia SATCM & Guangdong TCM Key Laboratory for Metabolic Diseases, Guangdong Pharmaceutical University, Guangzhou 510006, China.
Yinghua JinThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510080, China.
Zhongde ZhangThe Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Jiqiang LiThe Second Clinical College, Guangzhou University of Chinese Medicine, Guangzhou 510120, China.
Jiao GuoThe First Affiliated Hospital of Guangdong Pharmaceutical University, Guangzhou 510080, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes and its related metabolic disorders have been reported as the leading comorbidities in patients with coronavirus disease 2019 (COVID-19). This clinical study aims to investigate the clinical features, radiographic and laboratory tests, complications, treatments, and clinical outcomes in COVID-19 patients with or without diabetes. This retrospective study included 208 hospitalized patients (≥ 45 years old) with laboratory-confirmed COVID-19 during the period between 12 January and 25 March 2020. Information from the medical record, including clinical features, radiographic and laboratory tests, complications, treatments, and clinical outcomes, were extracted for the analysis. 96 (46.2%) patients had comorbidity with type 2 diabetes. In COVID-19 patients with type 2 diabetes, the coexistence of hypertension (58.3% vs 31.2%), coronary heart disease (17.1% vs 8.0%), and chronic kidney diseases (6.2% vs 0%) was significantly higher than in COVID-19 patients without type 2 diabetes. The frequency and degree of abnormalities in computed tomography (CT) chest scans in COVID-19 patients with type 2 diabetes were markedly increased, including ground-glass opacity (85.6% vs 64.9%,

Indexed as

Clinical characteristicsComorbiditiesCoronavirus diseaseCOVID-19Diabetes

Identifiers

PMID32837747
PMCPMC7320669

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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.