SynthesisPloS one2020
Clinical laboratory parameters associated with severe or critical novel coronavirus disease 2019 (COVID-19): A systematic review and meta-analysis.
Synthesis in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
56 citing papers in PubMed, 4 syntheses or guidelines pooled it, 121 citations in OpenAlex.
- Cardiac Injury in COVID-19: A Systematic Review of Relevant Meta-Analyses.Reviews in cardiovascular medicine · 2022Pooled it
- T-Cell Subsets and Interleukin-10 Levels Are Predictors of Severity and Mortality in COVID-19: A Systematic Review and Meta-Analysis.Frontiers in medicine · 2022Pooled it
- Association between markers of immune response at hospital admission and COVID-19 disease severity and mortality: A meta-analysis and meta-regression.Journal of medical virology · 2021Pooled it
- Pooled it
- Total plasma N-glycomic patterns of COVID-19 disease.Glycoconjugate journal · 2026Article
- Occurrence and clinical correlates of SARS-CoV-2 viremia in two German patient cohorts.Emerging microbes & infections · 2025Article
- Prognostic Value of Biomarkers in COVID-19: Associations with Disease Severity, Viral Variants, and Comorbidities-A Retrospective Observational Single-Center Cohort Study.Life (Basel, Switzerland) · 2025Article
- Evaluation and Association of Hematological and Biochemical Parameters of Untreated COVID-19 Patients on the basis of Differences in Ethnicity and Curcumin as a Possible Treatment.Endocrine, metabolic & immune disorders drug targets · 2025Article
- Article
- The Significance of Endothelial Dysfunction in Long COVID-19 for the Possible Future Pandemic of Chronic Kidney Disease and Cardiovascular Disease.Biomolecules · 2024Review
- Integration of individualized and population-level molecular epidemiology data to model COVID-19 outcomes.Cell reports. Medicine · 2024Article
- Increased Levels of Galectin-3 in Critical COVID-19.International journal of molecular sciences · 2023Article
- Article
- Physiological stress level and screening for malnutrition as preoperative predictors of postoperative complications in pancreatic surgery: a retrospective study.BMC surgery · 2023Article
- Comorbidities and clinical complications associated with SARS-CoV-2 infection: an overview.Clinical and experimental medicine · 2023Review
- Correlation of vitamin D levels with serum parameters in Covid-19 patients.Clinical nutrition ESPEN · 2023Article
- Diagnosis, treatment protocols, and outcomes of liver transplant recipients infected with COVID-19.World journal of clinical cases · 2023Review
- HIV and Associated Indicators of COVID-19 Cytokine Release Syndrome: A Meta-Analysis and Meta-Regression.Cureus · 2023Review
- Associated Biochemical and Hematological Markers in COVID-19 Severity Prediction.Advances in medicine · 2023Article
- Determining clinical biomarkers to predict long-term SARS-CoV-2 antibody response among COVID-19 patients in Bangladesh.Frontiers in medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo date, several clinical laboratory parameters associated with Coronavirus disease 2019 (COVID-19) severity have been reported. However, these parameters have not been observed consistently across studies. The aim of this review was to assess clinical laboratory parameters which may serve as markers or predictors of severe or critical COVID-19. METHODS AND
findingsWe conducted a systematic search of MEDLINE, Embase, Web of Science, CINAHL and Google Scholar databases from 2019 through April 18, 2020, and reviewed bibliographies of eligible studies, relevant systematic reviews, and the medRxiv pre-print server. We included hospital-based observational studies reporting clinical laboratory parameters of confirmed cases of COVID-19 and excluded studies having large proportions (>10%) of children and pregnant women. Two authors independently carried out screening of articles, data extraction and quality assessment. Meta-analyses were done using random effects model. Meta-median difference (MMD) and 95% confidence interval (CI) was calculated for each laboratory parameter. Forty-five studies in 6 countries were included. Compared to non-severe COVID-19 cases, severe or critical COVID-19 was characterised by higher neutrophil count (MMD: 1.23 [95% CI: 0.58 to 1.88] ×109 cells/L), and lower lymphocyte, CD4 and CD8 T cell counts with MMD (95% CI) of -0.39 (-0.47, -0.31) ×109 cells/L, -204.9 (-302.6, -107.1) cells/μl and -123.6 (-170.6, -76.6) cells/μl, respectively. Other notable results were observed for C-reactive protein (MMD: 36.97 [95% CI: 27.58, 46.35] mg/L), interleukin-6 (MMD: 17.37 [95% CI: 4.74, 30.00] pg/ml), Troponin I (MMD: 0.01 [0.00, 0.02] ng/ml), and D-dimer (MMD: 0.65 [0.45, 0.85] mg/ml).
conclusionsRelative to non-severe COVID-19, severe or critical COVID-19 is characterised by increased markers of innate immune response, decreased markers of adaptive immune response, and increased markers of tissue damage and major organ failure. These markers could be used to recognise severe or critical disease and to monitor clinical course of COVID-19.
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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.