ArticleCritical care research and practice2021
Factors Predicting Outcome in Intensive Care Unit-Admitted COVID-19 Patients: Using Clinical, Laboratory, and Radiologic Characteristics.
Article in Critical care research and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Risk Factors Associated with Severity and Death from COVID-19 in Iran: A Systematic Review and Meta-Analysis Study.Journal of intensive care medicine · 2023Pooled it
- Immunogenicity of COVID-19 mRNA vaccines in immunocompromised patients: a systematic review and meta-analysis.European journal of medical research · 2022Pooled it
- Incidence of secondary pericardial effusions associated with different etiologies: a comprehensive review of literature.Journal of cardiothoracic surgery · 2025Review
- A nomogram to predict severe COVID-19 patients with increased pulmonary lesions in early days.Frontiers in medicine · 2024Article
- Hemodynamic, Oxygenation and Lymphocyte Parameters Predict COVID-19 Mortality.Pathophysiology : the official journal of the International Society for Pathophysiology · 2023Article
- Survival status and predictors of mortality among COVID-19 patients admitted to intensive care units at COVID-19 centers in Addis Ababa, Ethiopia: a retrospective study.Annals of medicine and surgery (2012) · 2023Article
- Pleural Effusion in COVID-19 Pneumonia: Clinical and Prognostic Implications-An Observational, Retrospective Study.Journal of clinical medicine · 2023Article
- Accuracy of artificial intelligence CT quantification in predicting COVID-19 subjects' prognosis.PloS one · 2023Article
- Efficacy and Safety of Tixagevimab/Cilgavimab to Prevent COVID-19 (Pre-Exposure Prophylaxis): A Systematic Review and Meta-Analysis.Diseases (Basel, Switzerland) · 2022Review
- Evaluation of SARS-CoV-2 Serum Level in Patients Vaccinated With Sinopharm/BBIBP-CorV With Kidney Transplantation.Transplantation proceedings · 2022Article
- Comparison of chest CT scan findings between COVID-19 and pulmonary contusion in trauma patients based on RSNA criteria: Established novel criteria for trauma victims.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2022Article
- Prognostic findings for ICU admission in patients with COVID-19 pneumonia: baseline and follow-up chest CT and the added value of artificial intelligence.Emergency radiology · 2022Review
- Is target sign (bull's eye appearance) associated with adverse outcomes in COVID-19 patients? A case series and literature review.Caspian journal of internal medicine · 2022Article
- Chest CT Scan Features to Predict COVID-19 Patients' Outcome and Survival.Radiology research and practice · 2022Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo investigate the factors contributing to mortality in coronavirus disease 2019 (COVID-19) patients admitted in the intensive care unit (ICU) and design a model to predict the mortality rate.
methodWe retrospectively evaluated the medical records and CT images of the ICU-admitted COVID-19 patients who had an on-admission chest CT scan. We analyzed the patients' demographic, clinical, laboratory, and radiologic findings and compared them between survivors and nonsurvivors.
resultsAmong the 121 enrolled patients (mean age, 62.2 ± 14.0 years; male, 82 (67.8%)), 41 (33.9%) survived, and the rest succumbed to death. The most frequent radiologic findings were ground-glass opacity (GGO) (71.9%) with peripheral (38.8%) and bilateral (98.3%) involvement, with lower lobes (94.2%) predominancy. The most common additional findings were cardiomegaly (63.6%), parenchymal band (47.9%), and crazy-paving pattern (44.4%). Univariable analysis of radiologic findings showed that cardiomegaly (
conclusionA combination of underlying diseases, vital signs, and radiologic factors might have prognostic value for mortality rate prediction in ICU-admitted COVID-19 patients.
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.