ArticleInfectious diseases of poverty2021
Risk factors for developing severe COVID-19 in China: an analysis of disease surveillance data.
Article in Infectious diseases of poverty, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 27 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 64 citations in OpenAlex.
- Severe Outcomes Associated With SARS-CoV-2 Infection in Children: A Systematic Review and Meta-Analysis.Frontiers in pediatrics · 2022Pooled it
- Risk factors for mortality in hemodialysis patients with COVID-19: a systematic review and meta-analysis.Renal failure · 2021Pooled it
- Meplazumab, a CD147 antibody, for severe COVID-19: a double-blind, randomized, placebo-controlled, phase 3 clinical trial.Signal transduction and targeted therapy · 2025Trial
- Helminth Seropositivity Inversely Correlated with Th1 and Th17 Cytokines and Severe COVID-19.Vaccines · 2025Article
- Respiratory symptom patterns in healthcare workers in Germany: a prospective study during the SARS-CoV-2 pandemic.Frontiers in public health · 2025Observational
- Clinical Manifestations and Outcomes of Older Patients with COVID-19: A Comprehensive Review.Tuberculosis and respiratory diseases · 2024Article
- Development and external validation of the DOAT and DOATS scores: simple decision support tools to identify disease progression among nonelderly patients with mild/moderate COVID-19.BMC pulmonary medicine · 2023Article
- Clinical courses of 24,563 hospitalized COVID-19 patients during the first 12 months of the pandemic in the Central City of Iran.Scientific reports · 2023Article
- Evolution of SARS-CoV-2 Variants: Implications on Immune Escape, Vaccination, Therapeutic and Diagnostic Strategies.Viruses · 2023Review
- What have we learned about socioeconomic inequalities in the spread of COVID-19? A systematic review.Sustainable cities and society · 2022Article
- Clinical Characteristics and Treatment Outcomes of COVID-19 Patients at Eka Kotebe General Hospital, Addis Ababa, Ethiopia.The American journal of tropical medicine and hygiene · 2022Article
- Evaluation of a New Smartphone Powered Low-cost Pulse Oximeter Device.Ethiopian journal of health sciences · 2022Article
- Severity and mortality of COVID-19 among people with disabilities: protocol for a systematic review and meta-analysis.BMJ open · 2022Article
- Protocol and clinical characteristics of patients under 'at-home care' for COVID-19 in South Korea: a retrospective cohort study.BMJ open · 2022Article
- Article
- Clinical heterogeneity in patients with myoclonus associated to COVID-19.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022Article
- Comparing different machine learning techniques for predicting COVID-19 severity.Infectious diseases of poverty · 2022Article
- Association between single nucleotide polymorphism of human angiotensin-converting enzyme 2 gene locus and clinical severity of COVID-19.The Egyptian journal of medical human genetics · 2022Article
- Epidemiological characterization of COVID-19 in displaced populations of South Sudan.The Pan African medical journal · 2022Article
- Biochemical and hematological factors associated with COVID-19 severity among Gabonese patients: A retrospective cohort study.Frontiers in cellular and infection microbiology · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
13 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundCOVID-19 has posed an enormous threat to public health around the world. Some severe and critical cases have bad prognoses and high case fatality rates, unraveling risk factors for severe COVID-19 are of significance for predicting and preventing illness progression, and reducing case fatality rates. Our study focused on analyzing characteristics of COVID-19 cases and exploring risk factors for developing severe COVID-19.
methodsThe data for this study was disease surveillance data on symptomatic cases of COVID-19 reported from 30 provinces in China between January 19 and March 9, 2020, which included demographics, dates of symptom onset, clinical manifestations at the time of diagnosis, laboratory findings, radiographic findings, underlying disease history, and exposure history. We grouped mild and moderate cases together as non-severe cases and categorized severe and critical cases together as severe cases. We compared characteristics of severe cases and non-severe cases of COVID-19 and explored risk factors for severity.
resultsThe total number of cases were 12 647 with age from less than 1 year old to 99 years old. The severe cases were 1662 (13.1%), the median age of severe cases was 57 years [Inter-quartile range(IQR): 46-68] and the median age of non-severe cases was 43 years (IQR: 32-54). The risk factors for severe COVID-19 were being male [adjusted odds ratio (aOR) = 1.3, 95% CI: 1.2-1.5]; fever (aOR = 2.3, 95% CI: 2.0-2.7), cough (aOR = 1.4, 95% CI: 1.2-1.6), fatigue (aOR = 1.3, 95% CI: 1.2-1.5), and chronic kidney disease (aOR = 2.5, 95% CI: 1.4-4.6), hypertension (aOR = 1.5, 95% CI: 1.2-1.8) and diabetes (aOR = 1.96, 95% CI: 1.6-2.4). With the increase of age, risk for the severity was gradually higher [20-39 years (aOR = 3.9, 95% CI: 1.8-8.4), 40-59 years (aOR = 7.6, 95% CI: 3.6-16.3), ≥ 60 years (aOR = 20.4, 95% CI: 9.5-43.7)], and longer time from symtem onset to diagnosis [3-5 days (aOR = 1.4, 95% CI: 1.2-1.7), 6-8 days (aOR = 1.8, 95% CI: 1.5-2.1), ≥ 9 days(aOR = 1.9, 95% CI: 1.6-2.3)].
conclusionsOur study showed the risk factors for developing severe COVID-19 with large sample size, which included being male, older age, fever, cough, fatigue, delayed diagnosis, hypertension, diabetes, chronic kidney diasease, early case identification and prompt medical care. Based on these factors, the severity of COVID-19 cases can be predicted. So cases with these risk factors should be paid more attention to prevent severity.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.