ArticleCritical care medicine2016
Recognition and Appropriate Treatment of the Acute Respiratory Distress Syndrome Remains Unacceptably Low.
Article in Critical care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic "Sniffer" Systems to Identify the Acute Respiratory Distress Syndrome.Annals of the American Thoracic Society · 2019Pooled it
- Development and External Validation of a Detection Model to Retrospectively Identify Patients With Acute Respiratory Distress Syndrome.Critical care medicine · 2025Article
- Impact of Clinician Recognition of Acute Respiratory Distress Syndrome on Evidenced-Based Interventions in the Medical ICU.Critical care explorations · 2021Article
- Use of Machine Learning to Screen for Acute Respiratory Distress Syndrome Using Raw Ventilator Waveform Data.Critical care explorations · 2021Article
- Differences between Patients in Whom Physicians Agree and Disagree about the Diagnosis of Acute Respiratory Distress Syndrome.Annals of the American Thoracic Society · 2019Article
- Evaluating Delivery of Low Tidal Volume Ventilation in Six ICUs Using Electronic Health Record Data.Critical care medicine · 2019Observational
- Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome.IEEE journal of biomedical and health informatics · 2019Article
- Machine learning for patient risk stratification for acute respiratory distress syndrome.PloS one · 2019Article
- Translating evidence into practice in acute respiratory distress syndrome: teamwork, clinical decision support, and behavioral economic interventions.Current opinion in critical care · 2017Review
- Ventilation in acute respiratory distress syndrome: importance of low-tidal volume.Annals of translational medicine · 2016Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
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.