Evidence map›Paper›PMID 32811670›Full record

SynthesisArchives of medical research2020

Diabetes Mellitus is Associated with Severe Infection and Mortality in Patients with COVID-19: A Systematic Review and Meta-analysis.

Luxiang Shang, Mengjiao Shao, Qilong Guo, Jia Shi, Yang Zhao, Jiasuoer Xiaokereti, Baopeng Tang

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Archives of medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 6 pooled it
1.7field-weighted citation impact, top 9% 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

39 citing papers in PubMed, 6 syntheses or guidelines pooled it, 76 citations in OpenAlex.

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  9. Surgical management for hip fracture in a COVID-19 patient: A case report and literature review.Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association · 2023
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  14. Predictors of mortality in critically ill patients with COVID-19 and diabetes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023
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  20. Ethnicity and other COVID-19 death risk factors in Mexico.Archives of medical science : AMS · 2022
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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

7 authors at 3 institutions in 1 country.

Luxiang ShangDepartment of Cardiology, The First Affiliated Hospital of Shandong First Medical University, Shandong Provincial Qianfoshan Hospital, Jinan, China.
Mengjiao ShaoDepartment of Cardiology, Xinjiang Key Laboratory of Cardiovascular Disease Research, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Qilong GuoDepartment of Pacing and Electrophysiology, Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Jia ShiDepartment of Pacing and Electrophysiology, Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Yang ZhaoDepartment of Pacing and Electrophysiology, Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China; Hospital of Shenzhen General Station of Exit and Entry Frontier Inspection, Shenzhen, China.
Jiasuoer XiaokeretiDepartment of Pacing and Electrophysiology, Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Baopeng TangDepartment of Pacing and Electrophysiology, Xinjiang Key Laboratory of Cardiac Electrophysiology and Remodeling, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China. Electronic address: tangbaopeng111@163.com.
Xinjiang Medical University · CNFirst Affiliated Hospital of Xinjiang Medical University · CNShandong First Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimCurrently, the number of patients with coronavirus disease 2019 (COVID-19) infection is increasing rapidly worldwide. In this study, we aimed to assess whether diabetes mellitus (DM) would increase the risk of severe infection and death in patients with COVID-19.

methodsWe systematically searched the PubMed, Web of Science, MedRxiv and COVID-19 academic research communication platform for studies reporting clinical severity and/or overall mortality data on DM in patients with COVID-19 published up to July 10, 2020. The primary outcome was to compare the severe infection rate and mortality rate in COVID-19 patients with and without DM, and to calculate the odds ratio (OR) and 95% confidence interval (CI).

resultsA total of 76 studies involving 31,067 patients with COVID-19 were included in our meta-analysis. COVID-19 patients with DM had higher severe infection and case-mortality rates compared with those without DM (21.4 vs. 10.6% and 28.5 vs. 13.3%, respectively, all p <0.01). COVID-19 patients with DM were at significantly elevated risk of severe infection (OR = 2.38, 95% CI: 2.05-2.78, p <0.001) and mortality (OR = 2.21, 95% CI: 1.83-2.66, p <0.001).

conclusionDM is associated with increased risk of severe infection and higher mortality in patients with COVID-19. Our study suggests that clinicians should pay more attention to the monitoring and treatment of COVID-19 patients with DM.

Indexed as

COVID-19Diabetes ComplicationsDiabetes MellitusHumansSARS-CoV-2COVID-19Diabetes mellitusDisease severityMeta-analysisMortality

Identifiers

PMID32811670
PMCPMC7413048
OpenAlexW3047989691

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.