ArticleCritical care research and practice2020
A Predictive Model for Acute Respiratory Distress Syndrome Mortality Using Red Cell Distribution Width.
Article in Critical care research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 4 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
9 citing papers in PubMed, 4 syntheses or guidelines pooled it, 14 citations in OpenAlex.
- Pooled it
- Early Prediction of Mortality Risk in Acute Respiratory Distress Syndrome: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2025Pooled it
- Role of red blood cell distribution width, as a prognostic indicator in COVID-19: A systematic review and meta-analysis.Reviews in medical virology · 2022Pooled it
- Red Blood Cell Distribution Is a Significant Predictor of Severe Illness in Coronavirus Disease 2019.Acta haematologica · 2021Pooled it
- An improved prognostic model for predicting the mortality of critically ill patients: a retrospective cohort study.Scientific reports · 2022Article
- Red cell distribution width, a predictive factor in immunocompromised patients with COVID-19: A comparison retrospective study between cancer and kidney transplant patients.European journal of translational myology · 2022Article
- Red Blood Cell Distribution Width (RDW) as a Predictor of In-Hospital Mortality in COVID-19 Patients; a Cross Sectional Study.Archives of academic emergency medicine · 2021Article
- Physician documentation matters. Using natural language processing to predict mortality in sepsis.Intelligence-based medicine · 2021Article
- A Fast and Reliable Method to Interpret Short-Term Mortality in Perforated Peptic Ulcer: Red Cell Distribution Width is Sensitive and Specific.Surgery research and practice · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
methodsThis observational retrospective cohort study includes 318 ARDS patients extracted from an ICU database between the years of 2001 and 2008. Clinical factors including age, gender, comorbidity score, Sequential Organ Failure Assessment (SOFA) score, and PaO
results318 subjects were included; 113 (36%) died in the ICU. AUC for the base model without RDW was 0.76, and 0.78 following the addition of RDW [
conclusionsAdding RDW at time of ARDS diagnosis improved discrimination in a model using 4 clinical factors to predict ICU mortality.
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.