SynthesisBMC infectious diseases2021
Predictors of mortality in patients with coronavirus disease 2019: a systematic review and meta-analysis.
Synthesis in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 103 papers, 8 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.
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Who cites it
103 citing papers in PubMed, 8 syntheses or guidelines pooled it, 173 citations in OpenAlex.
- Association between stress hyperglycemia ratio and prognosis of patients hospitalized with COVID-19: A meta-analysis.Journal of diabetes investigation · 2026Pooled it
- Meta-analysis of mortality factors after COVID-19 infection in pediatric oncology patients.Frontiers in oncology · 2025Pooled it
- Artificial intelligence-driven prediction of COVID-19-related hospitalization and death: a systematic review.Frontiers in public health · 2023Pooled it
- Prognostic Performance of Cystatin C in COVID-19: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2022Pooled it
- Risk factors for mortality in COVID-19 patients in sub-Saharan Africa: A systematic review and meta-analysis.PloS one · 2022Pooled it
- Comorbidities and complications of COVID-19 associated with disease severity, progression, and mortality in China with centralized isolation and hospitalization: A systematic review and meta-analysis.Frontiers in public health · 2022Pooled it
- Role of Serum Ferritin in Predicting Outcomes of COVID-19 Infection Among Sickle Cell Disease Patients: A Systematic Review and Meta-Analysis.Frontiers in medicine · 2022Pooled it
- Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence.BMC medicine · 2021Pooled it
- Myocardial Injury and Predictors of In-Hospital Mortality in Severe or Critical COVID-19: A Single-Center Observational Cohort Study.Medicina (Kaunas, Lithuania) · 2026Observational
- Serum Apelin-13 and Galectin-3 in COVID-19: Associations With Routine Biochemical Parameters and Diagnostic Performance in a Case-Control Study.Journal of clinical laboratory analysis · 2026Article
- Assessing factors of COVID-19 outcomes in the United States based on the ecological framework of population health.Scientific reports · 2026Article
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- Assessment of Mortality Risk in Patients With Community-Acquired Pneumonia: Role of Novel Inflammatory Biomarkers.Journal of clinical laboratory analysis · 2025Article
- Predictors of Unfavorable Outcomes in COVID-19-Related Sepsis: A Prospective Cohort Study.Viruses · 2025Article
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- Outcomes of COVID-19 During the First Wave in Saudi Arabia: An Observational Study of ICU Cases from a Single Hospital.Journal of clinical medicine · 2025Article
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- Real-world COVID-19 vaccine effectiveness in Zimbabwe: A test-negative case-control study.Journal of public health in Africa · 2025Article
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43 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundCoronavirus disease 2019 (COVID-19) is associated with a high mortality rate, especially in patients with severe illness. We conducted a systematic review and meta-analysis to assess the potential predictors of mortality in patients with COVID-19.
methodsPubMed, EMBASE, the Cochrane Library, and three electronic Chinese databases were searched from December 1, 2019 to April 29, 2020. Eligible studies reporting potential predictors of mortality in patients with COVID-19 were identified. Unadjusted prognostic effect estimates were pooled using the random-effects model if data from at least two studies were available. Adjusted prognostic effect estimates were presented by qualitative analysis.
resultsThirty-six observational studies were identified, of which 27 were included in the meta-analysis. A total of 106 potential risk factors were tested, and the following important predictors were associated with mortality: advanced age, male sex, current smoking status, preexisting comorbidities (especially chronic kidney, respiratory, and cardio-cerebrovascular diseases), symptoms of dyspnea, complications during hospitalization, corticosteroid therapy and a severe condition. Additionally, a series of abnormal laboratory biomarkers of hematologic parameters, hepatorenal function, inflammation, coagulation, and cardiovascular injury were also associated with fatal outcome.
conclusionWe identified predictors of mortality in patients with COVID-19. These findings could help healthcare providers take appropriate measures and improve clinical outcomes in such patients.
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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.