SynthesisBMC immunology2020
Prognostic role of red blood cell distribution width in patients with sepsis: a systematic review and meta-analysis.
Synthesis in BMC immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 6 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.
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Who cites it
62 citing papers in PubMed, 6 syntheses or guidelines pooled it, 103 citations in OpenAlex.
- Red blood cell distribution width-albumin ratio as predictor of mortality in patients with cardiac disease: a systematic review and meta-analysis.BMC cardiovascular disorders · 2026Pooled it
- Predictive Value of Red Blood Cell Distribution Width for the Prognosis of Cardiac Arrest: A Systematic Review and Meta-Analysis.Reviews in cardiovascular medicine · 2025Pooled it
- Red blood cell distribution width as a predictor of mortality in critically ill pediatric patients: a systematic review and meta-analysis.Frontiers in pediatrics · 2025Pooled it
- Red blood cell distribution width as a predictor of mortality and poor functional outcome after acute ischemic stroke: a meta-analysis and meta-regression.BMC neurology · 2024Pooled it
- Diagnostic value of RDW for the prediction of mortality in adult sepsis patients: A systematic review and meta-analysis.Frontiers in immunology · 2022Pooled it
- Red Blood Cell Distribution Is a Significant Predictor of Severe Illness in Coronavirus Disease 2019.Acta haematologica · 2021Pooled it
- A nomogram to predict prolonged stay of obesity patients with sepsis in ICU: Relevancy for predictive, personalized, preventive, and participatory healthcare strategies.Frontiers in public health · 2022Trial
- Article
- Development and evaluation of machine learning-based prediction-modelling for initial vancomycin serum concentrations in septic ICU patients using clinical health record data.Intensive care medicine experimental · 2026Article
- Association between 30-day mortality and serially measured hematologic markers in patients with septic shock in South Korea.Acute and critical care · 2026Article
- Development and external validation of a predictive model for in-hospital mortality in patients with liver cirrhosis and sepsis.Scientific reports · 2026Article
- Article
- Explainable machine learning model for predicting short-term outcomes in sepsis- induced coagulopathy.BMC medical informatics and decision making · 2026Article
- Can baseline red blood cell distribution width predict outcomes in peripheral T-cell lymphoma patients?Annals of hematology · 2026Article
- Article
- Article
- Machine learning prediction of sepsis in paralytic ileus using interpretable clinical models.Frontiers in cellular and infection microbiology · 2026Article
- Early Clinical, Laboratory, and Imaging Correlates of Neurological Dysfunction in Adults Presenting to the Emergency Department with Sepsis: A Single-Center Retrospective Study.Juntendo medical journal · 2026Article
- Predicting sepsis prognosis using deep learning with routine biomarkers.Frontiers in medicine · 2026Article
- Association between red blood cell distribution width to albumin ratio and prognosis in patients with sepsis-associated acute kidney injury: a retrospective cohort study.Frontiers in medicine · 2026Article
2 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
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOutcome prediction for patients with sepsis may be conductive to early aggressive interventions. Numerous biomarkers and multiple scoring systems have been utilized in predicting outcomes, however, these tools were either expensive or inconvenient. We performed a meta-analysis to evaluate the prognostic role of red blood cell distribution width (RDW) in patients with sepsis.
methodsThe online databases of Embase, Web of science, Pubmed, Corchrane library, Chinese Wanfang database, CNKI database were systematically searched from the inception dates to June, 24th, 2020, using the keywords red cell distribution width and sepsis. The odds ratio (OR) or Hazards ratio (HR) with corresponding 95% confidence intervals (95%CI) were pooled to evaluate the association between baseline RDW and sepsis. A random-effects model was used to pool the data, and statistical heterogeneity between studies was evaluated using the I
resultsEleven studies with 17,961 patients with sepsis were included in the meta-analysis. The pooled analyses indicated that increased baseline RDW was associated with mortality (HR = 1.14, 95%CI 1.09-1.20, Z = 5.78, P < 0.001) with significant heterogeneity (I
conclusionsFor patients with sepsis, baseline RDW may be a useful predictor of mortality, patients with increased RDW are more likely to have higher mortality.
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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.