Observational studyDisease markers2021
Simple Parameters from Complete Blood Count Predict In-Hospital Mortality in COVID-19.
Observational study in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Identification of Parameters Representative of Immune Dysfunction in Patients with Severe and Fatal COVID-19 Infection: a Systematic Review and Meta-analysis.Clinical reviews in allergy & immunology · 2023Pooled it
- Article
- The predictive role of inflammation indices derived from complete blood count in severe COVID-19 patients: a study from the United Arab Emirates.Frontiers in medicine · 2025Article
- Article
- COVID-19 Biomarkers at the Crossroad between Patient Stratification and Targeted Therapy: The Role of Validated and Proposed Parameters.International journal of molecular sciences · 2023Review
- Baseline Plasma Osteopontin Protein Elevation Predicts Adverse Outcomes in Hospitalized COVID-19 Patients.Viruses · 2023Observational
- Active regression model for clinical grading of COVID-19.Frontiers in immunology · 2023Article
- Clinical Characteristics and Predictors of In-Hospital Mortality of Patients Hospitalized with COVID-19 Infection.Journal of clinical medicine · 2022Article
- Long-Term Survival among Patients Hospitalized for COVID-19 during the First Three Epidemic Waves: An Observational Study in a Northern Italy Hospital.International journal of environmental research and public health · 2022Observational
- Predicting In-Hospital Mortality in Severe COVID-19: A Systematic Review and External Validation of Clinical Prediction Rules.Biomedicines · 2022Article
- CGRP Plasma Levels Correlate with the Clinical Evolution and Prognosis of Hospitalized Acute COVID-19 Patients.Viruses · 2022Observational
- Prognosing the risk of COVID-19 death through a machine learning-based routine blood panel: A retrospective study in Brazil.International journal of medical informatics · 2022Article
- Prognostic Markers in Hospitalized COVID-19 Patients: The Role of IP-10 and C-Reactive Protein.Disease markers · 2022Observational
- The Prognostic Role of Metabolic and Endocrine Parameters for the Clinical Severity of COVID-19.Disease markers · 2022Article
- Early Prediction of Disease Progression in Patients with Severe COVID-19 Using C-Reactive Protein to Albumin Ratio.Disease markers · 2021Article
- Plasma S-Adenosylmethionine Is Associated with Lung Injury in COVID-19.Disease markers · 2021Article
- Hematological findings in COVID-19 and their correlation with severity of Disease.Pakistan journal of medical sciencesArticle
Corrections and comments
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Authors and funding
129 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe clinical course of Coronavirus Disease 2019 (COVID-19) is highly heterogenous, ranging from asymptomatic to fatal forms. The identification of clinical and laboratory predictors of poor prognosis may assist clinicians in monitoring strategies and therapeutic decisions. MATERIALS AND
methodsIn this study, we retrospectively assessed the prognostic value of a simple tool, the complete blood count, on a cohort of 664 patients (
resultsAt data cut-off, 221/664 patients (33.3%) had died and 453/664 (66.7%) had been discharged. Red cell distribution width (RDW) (
conclusionOur findings arise the opportunity of stratifying COVID-19 severity according to simple lab parameters, which may drive clinical decisions about monitoring and treatment.
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