ArticleBMC infectious diseases2020
Correlation analysis between disease severity and inflammation-related parameters in patients with COVID-19: a retrospective study.
Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04598334 (Investigating the Inflammatory Cytokines and Cytokine Storm Among Bangladeshi Patients With COVID-19), which is not on this map. Cited by 241 papers, 5 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.
Investigating the Inflammatory Cytokines and Cytokine Storm Among Bangladeshi Patients With COVID-19: a Prospective, Observational Study
Who cites it
241 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- COVID-19 and myocarditis: a systematic review and overview of current challenges.Heart failure reviews · 2022Pooled it
- Procalcitonin as a predictive marker in COVID-19: A systematic review and meta-analysis.PloS one · 2022Pooled it
- Early prediction keys for COVID-19 cases progression: A meta-analysis.Journal of infection and public health · 2021Pooled it
- The role of cytokine profile and lymphocyte subsets in the severity of coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.Life sciences · 2020Pooled it
- The role of biomarkers in diagnosis of COVID-19 - A systematic review.Life sciences · 2020Pooled it
- The hidden dangers in routine medical complaints: uncovering patient harm.BMC health services research · 2025Article
- Bridging the gap between CVD and COVID-19: the oxidized LDL hypothesis.Frontiers in medicine · 2025Article
- The protective effect of serum antibodies in preventing SARS-CoV-2 virus entry into cardiac muscle.Physiological research · 2024Article
- The Impact of Vaccination on COVID-19 Outcomes in Vietnam.Diagnostics (Basel, Switzerland) · 2024Article
- Article
- Alterations in the expression of serum-derived exosome-enclosed inflammatory microRNAs in Covid-19 patients.Heliyon · 2024Article
- Cq values as an indicator for COVID-19 outcomes: A study of the correlation between laboratory parameters.Immunity, inflammation and disease · 2024Article
- Inflammatory Biomarkers for Assessing In-Hospital Mortality Risk in Severe COVID-19-A Retrospective Study.Journal of personalized medicine · 2024Article
- Prioritizing Disease Diagnosis in Neonatal Cohorts through Multivariate Survival Analysis: A Nonparametric Bayesian Approach.Healthcare (Basel, Switzerland) · 2024Article
- ACE2-dependent and -independent SARS-CoV-2 entries dictate viral replication and inflammatory response during infection.Nature cell biology · 2024Article
- Synergistic inhibition effects of andrographolide and baicalin on coronavirus mechanisms by downregulation of ACE2 protein level.Scientific reports · 2024Article
- Navigating sarcopenia in COVID-19 patients and survivors: Understanding the long-term consequences, transitioning from hospital to community with mechanisms and interventions for future preparedness.Aging medicine (Milton (N.S.W)) · 2024Review
- Article
- A Review on Role of Inflammation in Coronavirus Disease.Endocrine, metabolic & immune disorders drug targets · 2024Review
- Assessing the gene expression of the adenosine 5'-monophosphate-activated protein kinase (AMPK) and its relation with the IL-6 and IL-10 plasma levels in COVID-19 patients.Molecular biology reports · 2023Article
181 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
11 authors.
Funding
Abstract
backgroundCOVID-19 is highly contagious, and the crude mortality rate could reach 49% in critical patients. Inflammation concerns on disease progression. This study analyzed blood inflammation indicators among mild, severe and critical patients, helping to identify severe or critical patients early.
methodsIn this cross-sectional study, 100 patients were included and divided into mild, severe or critical groups according to disease condition. Correlation of peripheral blood inflammation-related indicators with disease criticality was analyzed. Cut-off values for critically ill patients were speculated through the ROC curve.
resultsSignificantly, disease severity was associated with age (R = -0.564, P < 0.001), interleukin-2 receptor (IL2R) (R = -0.534, P < 0.001), interleukin-6 (IL-6) (R = -0.535, P < 0.001), interleukin-8 (IL-8) (R = -0.308, P < 0.001), interleukin-10 (IL-10) (R = -0.422, P < 0.001), tumor necrosis factor α (TNFα) (R = -0.322, P < 0.001), C-reactive protein (CRP) (R = -0.604, P < 0.001), ferroprotein (R = -0.508, P < 0.001), procalcitonin (R = -0.650, P < 0.001), white cell counts (WBC) (R = -0.54, P < 0.001), lymphocyte counts (LC) (R = 0.56, P < 0.001), neutrophil count (NC) (R = -0.585, P < 0.001) and eosinophil counts (EC) (R = 0.299, P < 0.001). With IL2R > 793.5 U/mL or CRP > 30.7 ng/mL, the progress of COVID-19 to critical stage should be closely observed and possibly prevented.
conclusionsInflammation is closely related to severity of COVID-19, and IL-6 and TNFα might be promising therapeutic targets.
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.