ArticleAmerican journal of respiratory and critical care medicine2020
Machine Learning Classifier Models: The Future for Acute Respiratory Distress Syndrome Phenotyping?
Article in American journal of respiratory and critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07511582 (Efficacy, Safety, and Tolerability of Methylprednisolone in Critically Ill Patients With the Hyperinflammatory Phenotype), which is not on this map. Cited by 10 papers.
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.
Efficacy, Safety, and Tolerability of Methylprednisolone in Critically Ill Patients With the Hyperinflammatory Phenotype: A Multicenter, Randomized, Double-Blind, Placebo-Controlled Phase II Trial
Who cites it
10 citing papers in PubMed.
- Longitudinal phenotypes in patients with acute respiratory distress syndrome: a multi-database study.Critical care (London, England) · 2022Trial
- Clinical Phenotyping in Acute Respiratory Distress Syndrome: Steps Towards Personalized Medicine.Journal of clinical medicine · 2025Article
- Predicting mortality and risk factors of sepsis related ARDS using machine learning models.Scientific reports · 2025Article
- Advances in acute respiratory distress syndrome: focusing on heterogeneity, pathophysiology, and therapeutic strategies.Signal transduction and targeted therapy · 2025Review
- Identifying novel clinical phenotypes of acute respiratory distress syndrome using trajectories of daily fluid balance: a secondary analysis of randomized controlled trials.European journal of medical research · 2024Article
- Advances in Biomarkers for Diagnosis and Treatment of ARDS.Diagnostics (Basel, Switzerland) · 2023Review
- Clinical Sepsis Phenotypes in Critically Ill Patients.Microorganisms · 2023Review
- Predicting prognosis in COVID-19 patients using machine learning and readily available clinical data.International journal of medical informatics · 2021Article
- Update in Critical Care 2020.American journal of respiratory and critical care medicine · 2021Review
- Can Big Data and Machine Learning Improve Our Understanding of Acute Respiratory Distress Syndrome?Cureus · 2021Review
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.