ArticleAmerican journal of respiratory and critical care medicine2020
Machine Learning Classifier Models Can Identify Acute Respiratory Distress Syndrome Phenotypes Using Readily Available Clinical Data.
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 126 papers, 2 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.
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
126 citing papers in PubMed, 2 syntheses or guidelines pooled it, 210 citations in OpenAlex.
- A systematic review of machine learning models for management, prediction and classification of ARDS.Respiratory research · 2024Pooled it
- A Research Agenda for Precision Medicine in Sepsis and Acute Respiratory Distress Syndrome: An Official American Thoracic Society Research Statement.American journal of respiratory and critical care medicine · 2021Guideline
- Inflammatory and tissue injury marker dynamics in pediatric acute respiratory distress syndrome.The Journal of clinical investigation · 2024Trial
- Longitudinal phenotypes in patients with acute respiratory distress syndrome: a multi-database study.Critical care (London, England) · 2022Trial
- Nursing intensity trajectory patterns and clinical outcomes in intensive care units: a latent class analysis.International journal of nursing studies advances · 2026Article
- Review
- Contrast-enhanced ultrasound-based energy response phenotyping in thyroid nodule ablation: identifying heterogeneous subgroups via latent class analysis.Quantitative imaging in medicine and surgery · 2026Article
- Approximating Molecular Sepsis Subtypes Using Bedside Data in Resource-Limited Settings: A Multicenter Analysis From Uganda.Critical care explorations · 2026Observational
- Reproducible clinical archetypes in acute respiratory failure: a multi-cohort trajectory analysis.Intensive care medicine · 2026Article
- Deep knowledge-driven multi-modal fusion for diagnosis and prognosis of SI-ARDS.Communications medicine · 2026Article
- Assessment of Bedside-Adaptable Models to Predict Molecular Sepsis Subtypes in a Resource-Limited Setting: A Multicenter Analysis from Uganda.medRxiv : the preprint server for health sciences · 2026Article
- Pathogen characteristics are key determinants of distinct host response phenotypes of sepsis.The Journal of clinical investigation · 2026Observational
- Treatment Response Phenotyping Informed by Patient Physiologic Characteristics Could Drive Precision Critical Care Through Augmented Intelligence: A Narrative Review.CHEST critical care · 2026Article
- Advances in Imaging and Physiology-Guided Personalized Care in Acute Respiratory Distress Syndrome.Medicina (Kaunas, Lithuania) · 2026Review
- Large-scale proteomic profiling identifies distinct inflammatory phenotypes in acute respiratory distress syndrome: a multicentre, prospective cohort study.The European respiratory journal · 2026Article
- Artificial Intelligence- and Machine Learning-Assisted Subphenotyping for Personalized Immunotherapy in Sepsis.Journal of personalized medicine · 2026Review
- Hybrid phenotype-guided modeling across algorithm-feature regimes with application to ICU mortality prediction for Acinetobacter baumannii.Scientific reports · 2026Article
- Electrical Impedance Tomography-Informed Regional Functional Phenotypes in Sepsis-Associated Acute Respiratory Distress Syndrome.Journal of inflammation research · 2026Review
- Clinical subphenotypes and molecular endotypes in sepsis: toward an integrated and dynamic framework.Annals of intensive care · 2026Review
- Inflammatory phenotypes in acute respiratory distress syndrome: external validation and model simplification in multicenter cohorts.Frontiers in medicine · 2026Article
66 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
PubMed holds no abstract for this paper.
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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.