Evidence map›Paper›PMID 40046873›Full record

ArticleFrontiers in endocrinology2025

A multicenter, real-world cohort study: effectiveness and safety of Azvudine in hospitalized COVID-19 patients with pre-existing diabetes.

Yongjian Zhou, Zecheng Yang, Shixi Zhang, Donghua Zhang, Hong Luo, Di Zhu, Guangming Li, Mengzhao Yang, Xiaobo Hu, Guowu Qian and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in endocrinology, 2025. 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Yongjian Zhou *Department of Infectious Diseases, State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zecheng Yang *Department of Infectious Diseases, State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Shixi ZhangDepartment of Infectious Diseases, Shangqiu Municipal Hospital, Shangqiu, China.
Donghua ZhangDepartment of Infectious Diseases, Anyang City Fifth People's Hospital, Anyang, China.
Hong LuoGuangshan County People's Hospital, Xinyang, China.
Di ZhuRadiology Department, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Guangming LiDepartment of Liver Disease, the Affiliated Infectious Disease Hospital of Zhengzhou University, Zhengzhou, China.
Mengzhao YangDepartment of Infectious Diseases, State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiaobo HuDepartment of Infectious Diseases, State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Guowu QianDepartment of Gastrointestinal Surgery, Nanyang Central Hospital, Nanyang, China.
Guotao LiDepartment of Infectious Diseases, Luoyang Central Hospital Affiliated of Zhengzhou University, Luoyang, China.
Ling WangDepartment of Clinical Laboratory, Henan Provincial Chest Hospital Affiliated of Zhengzhou University, Zhengzhou, China.
Silin LiDepartment of Respiratory and Critical Care Medicine, Fengqiu County People's Hospital, Xinxiang, China.
Zujiang YuDepartment of Infectious Diseases, State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhigang RenDepartment of Infectious Diseases, State Key Laboratory of Antiviral Drugs, Pingyuan Laboratory, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: During the Omicron infection wave, diabetic patients are susceptible to COVID-19, which is linked to a poor prognosis. However, research on the real-world effectiveness and safety of Azvudine, a common medication for COVID-19, is insufficient in those with pre-existing diabetes. Methods: In this retrospective study, we included 32,864 hospitalized COVID-19 patients from 9 hospitals in Henan Province. Diabetic patients were screened and divided into the Azvudine group and the control group, via 1:1 propensity score matching. The primary outcome was all-cause mortality, and the secondary outcome was composite disease progression. Laboratory abnormal results were used for safety evaluation. Results: A total of 1,417 patients receiving Azvudine and 1,417 patients receiving standard treatment were ultimately included. Kaplan-Meier curves suggested that all-cause mortality (P = 0.0026) was significantly lower in the Azvudine group than in the control group, but composite disease progression did not significantly differ (P = 0.1). Cox regression models revealed Azvudine treatment could reduce 26% risk of all-cause mortality (95% CI: 0.583-0.942, P = 0.015) versus controls, and not reduce the risk of composite disease progression (HR: 0.91, 95% CI: 0.750-1.109, P = 0.355). The results of subgroup analysis and three sensitivity analyses were consistent with the previous findings. Safety analysis revealed that the incidence rates of most adverse events were similar between the two groups. Conclusion: In this study, Azvudine demonstrated good efficacy in COVID-19 patients with diabetes, with a lower all-cause mortality rate. Additionally, the safety was favorable. This study may provide a new strategy for the antiviral management of COVID-19 patients with diabetes.

Indexed as

Antiviral AgentsCOVID-19COVID-19 Drug TreatmentDiabetes MellitusAdultAgedChinaCohort StudiesDisease ProgressionFemaleHospitalizationHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2Antiviral AgentsAzvudineCOVID-19diabeteseffectivenessreal-worldsafety

Identifiers

PMID40046873
PMCPMC11879813

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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.