SynthesisF1000Research
Predictors of COVID-19 severity: a systematic review and meta-analysis.
Synthesis in F1000Research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers, 7 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
120 citing papers in PubMed, 7 syntheses or guidelines pooled it, 182 citations in OpenAlex.
- Pooled it
- Pooled it
- Cardiac Injury in COVID-19: A Systematic Review of Relevant Meta-Analyses.Reviews in cardiovascular medicine · 2022Pooled it
- Prevalence of hypertension and associated risks in hospitalized patients with COVID-19: a meta-analysis of meta-analyses with 1468 studies and 1,281,510 patients.Systematic reviews · 2022Pooled it
- Risks of and From SARS-CoV-2 Infection and COVID-19 in People With Diabetes: A Systematic Review of Reviews.Diabetes care · 2021Pooled it
- Association between convalescent plasma and the risk of mortality among patients with COVID-19: a meta-analysis.F1000Research · 2021Pooled it
- Pooled it
- Development and Validation of a Multivariable Predictive Model for Mortality of COVID-19 Patients Demanding High Oxygen Flow at Admission to ICU: AIDA Score.Oxidative medicine and cellular longevity · 2021Trial
- Artificial intelligence-based chest X-ray (AI-CXR) and hematology parameters to predict mortality and intubation events In COVID-19 patients at the second-referral hospital in Indonesia.BMC infectious diseases · 2026Article
- Predictors of Severe Outcomes in COVID-19: Evidence from Real-World Multicenter Retrospective Study (2020-2024).Journal of clinical medicine · 2026Article
- ACCREDIT: Validation of clinical score for progression of COVID-19 while hospitalized.Global epidemiology · 2025Article
- Efficient and scalable construction of clinical variable networks for complex diseases with RAMEN.Cell reports methods · 2025Article
- Article
- The severity assessment and nucleic acid turning-negative-time prediction in COVID-19 patients with COPD using a fused deep learning model.BMC pulmonary medicine · 2024Article
- Prospective Variation of Cytokine Trends during COVID-19: A Progressive Approach from Disease Onset until Outcome.International journal of molecular sciences · 2024Article
- Obesity Parameters as Predictor of Poor Outcomes in Hospitalized Patients with Confirmed Mild-to-Moderate COVID-19.Infectious disease reports · 2024Article
- More severe comorbidities, advanced age, and incomplete vaccination increase the risk of COVID-19 mortality.Narra J · 2024Article
- Pre-Existing Atrial Fibrillation in Hospitalized Patients with COVID-19: Insights from the CARDIO COVID 19-20 Registry.Journal of cardiovascular development and disease · 2024Article
- Immunoglobulins in COVID-19 pneumonia: from the acute phase to the recovery phase.European journal of medical research · 2024Article
- Observational
60 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
34 authors at 9 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.