ArticleChest2020
Risk Factors of Fatal Outcome in Hospitalized Subjects With Coronavirus Disease 2019 From a Nationwide Analysis in China.
Article in Chest, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04670094 (Comorbidities and Risk Score for Severity and Outcome in Patients With Infection by SARS-CoV-2.), which is not on this map. Cited by 369 papers, 16 of them syntheses that pooled 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.
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.
Comorbidities and Risk Score for Severity and Outcome in Patients With Infection by SARS-CoV-2.
Who cites it
369 citing papers in PubMed, 16 syntheses or guidelines pooled it, 690 citations in OpenAlex.
- Meta-analysis of mortality factors after COVID-19 infection in pediatric oncology patients.Frontiers in oncology · 2025Pooled it
- Accuracy of routine laboratory tests to predict mortality and deterioration to severe or critical COVID-19 in people with SARS-CoV-2.The Cochrane database of systematic reviews · 2024Pooled it
- Impact of diabetes on COVID-19 mortality and hospital outcomes from a global perspective: An umbrella systematic review and meta-analysis.Endocrinology, diabetes & metabolism · 2022Pooled it
- Liver Injury in COVID-19 Patients with Drugs as Causatives: A Systematic Review of 996 DILI Cases Published 2020/2021 Based on RUCAM as Causality Assessment Method.International journal of molecular sciences · 2022Pooled it
- Distinct Symptoms and Underlying Comorbidities with Latitude and Longitude in COVID-19: A Systematic Review and Meta-Analysis.Canadian respiratory journal · 2022Pooled it
- Risk factors for mortality in COVID-19 patients in sub-Saharan Africa: A systematic review and meta-analysis.PloS one · 2022Pooled it
- The effect of cardiovascular disease and acute cardiac injury on fatal COVID-19: a meta-analysis.The American journal of emergency medicine · 2021Pooled it
- Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence.BMC medicine · 2021Pooled it
- Mortality-related risk factors of COVID-19: a systematic review and meta-analysis of 42 studies and 423,117 patients.BMC infectious diseases · 2021Pooled it
- Cardiovascular diseases burden in COVID-19: Systematic review and meta-analysis.The American journal of emergency medicine · 2021Pooled it
- The common risk factors for progression and mortality in COVID-19 patients: a meta-analysis.Archives of virology · 2021Pooled it
- Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis.BMC infectious diseases · 2021Pooled it
- Elevated Procalcitonin Is Positively Associated with the Severity of COVID-19: A Meta-Analysis Based on 10 Cohort Studies.Medicina (Kaunas, Lithuania) · 2021Pooled it
- ACC Health Policy Statement on Cardiovascular Disease Considerations for COVID-19 Vaccine Prioritization: A Report of the American College of Cardiology Solution Set Oversight Committee.Journal of the American College of Cardiology · 2021Guideline
- Antibiotic prescribing in patients with COVID-19: rapid review and meta-analysis.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021Pooled it
- Risk factors for poor outcomes in hospitalised COVID-19 patients: A systematic review and meta-analysis.Journal of global health · 2021Pooled it
- PK/PD modeling links accelerated resolution of COVID-19-related clinical symptoms to SARS-CoV-2 viral load reduction in patients following treatment with Bamlanivimab alone or Bamlanivimab and Etesevimab together.CPT: pharmacometrics & systems pharmacology · 2022Trial
- Evaluating the Effect of a COVID-19 Predictive Model to Facilitate Discharge: A Randomized Controlled Trial.Applied clinical informatics · 2022Trial
- Survival analysis and mortality predictors of COVID-19 across the six-wave pattern of the pandemic in Monastir, Tunisia : COVID-19 mortality predictors in Monastir across six waves.BMC infectious diseases · 2026Article
- Tracking the evolution of biomarker efficacy in SARS-CoV-2: a global meta-analyses series.Respiratory research · 2026Article
309 more citing papers are in PubMed but not listed here.
Corrections and comments
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- Commented on byResponse.2020
Authors and funding
38 authors at 18 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe novel coronavirus disease 2019 (COVID-19) has become a global health emergency. The cumulative number of new confirmed cases and deaths are still increasing out of China. Independent predicted factors associated with fatal outcomes remain uncertain. RESEARCH QUESTION: The goal of the current study was to investigate the potential risk factors associated with fatal outcomes from COVID-19 through a multivariate Cox regression analysis and a nomogram model. STUDY DESIGN AND
methodsA retrospective cohort of 1,590 hospitalized patients with COVID-19 throughout China was established. The prognostic effects of variables, including clinical features and laboratory findings, were analyzed by using Kaplan-Meier methods and a Cox proportional hazards model. A prognostic nomogram was formulated to predict the survival of patients with COVID-19.
resultsIn this nationwide cohort, nonsurvivors included a higher incidence of elderly people and subjects with coexisting chronic illness, dyspnea, and laboratory abnormalities on admission compared with survivors. Multivariate Cox regression analysis showed that age ≥ 75 years (hazard ratio [HR], 7.86; 95% CI, 2.44-25.35), age between 65 and 74 years (HR, 3.43; 95% CI, 1.24-9.5), coronary heart disease (HR, 4.28; 95% CI, 1.14-16.13), cerebrovascular disease (HR, 3.1; 95% CI, 1.07-8.94), dyspnea (HR, 3.96; 95% CI, 1.42-11), procalcitonin level > 0.5 ng/mL (HR, 8.72; 95% CI, 3.42-22.28), and aspartate aminotransferase level > 40 U/L (HR, 2.2; 95% CI, 1.1-6.73) were independent risk factors associated with fatal outcome. A nomogram was established based on the results of multivariate analysis. The internal bootstrap resampling approach suggested the nomogram has sufficient discriminatory power with a C-index of 0.91 (95% CI, 0.85-0.97). The calibration plots also showed good consistency between the prediction and the observation.
interpretationThe proposed nomogram accurately predicted clinical outcomes of patients with COVID-19 based on individual characteristics. Earlier identification, more intensive surveillance, and appropriate therapy should be considered in patients at high risk.
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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.