ArticleIntensive care medicine2016
The Berlin definition met our needs: no.
Article in Intensive care medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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
18 citing papers in PubMed.
- Redefining Acute Respiratory Distress Syndrome: A New Clinical Perspective.Tuberculosis and respiratory diseases · 2026Article
- Trajectory patterns of mechanical power and prognosis in ARDS: a longitudinal analysis using group-based trajectory modeling.European journal of medical research · 2025Article
- Redefining ARDS: a paradigm shift.Critical care (London, England) · 2023Review
- Application of artificial neural network in daily prediction of bleeding in ICU patients treated with anti-thrombotic therapy.BMC medical informatics and decision making · 2023Article
- Newly Proposed Diagnostic Criteria for Acute Respiratory Distress Syndrome: Does Inclusion of High Flow Nasal Cannula Solve the Problem?Journal of clinical medicine · 2023Article
- Diagnostic value of transpulmonary thermodilution measurements for acute respiratory distress syndrome in a pig model of septic shock.Journal of translational medicine · 2022Article
- Respiratory Subsets in Patients with Moderate to Severe Acute Respiratory Distress Syndrome for Early Prediction of Death.Journal of clinical medicine · 2022Review
- Utility of Pulse Oximetry Oxygen Saturation (SpOCritical care research and practice · 2022Article
- Predicting Duration of Mechanical Ventilation in Acute Respiratory Distress Syndrome Using Supervised Machine Learning.Journal of clinical medicine · 2021Article
- P/FP ratio: incorporation of PEEP into the PaOAnnals of intensive care · 2021Article
- Human Metapneumovirus Pneumonia Precipitating Acute Respiratory Distress Syndrome in an Adult Patient.Cureus · 2021Article
- Novel criteria to classify ARDS severity using a machine learning approach.Critical care (London, England) · 2021Article
- Prevalence and Outcomes of Acute Hypoxaemic Respiratory Failure in Wales: The PANDORA-WALES Study.Journal of clinical medicine · 2020Article
- Observational
- Mechanical power normalized to predicted body weight as a predictor of mortality in patients with acute respiratory distress syndrome.Intensive care medicine · 2019Article
- Mandatory criteria for the application of variability-based parameters of fluid responsiveness: a prospective study in different groups of ICU patients.Journal of Zhejiang University. Science. B · 2018Article
- Acute Respiratory Distress Syndrome: Challenge for Diagnosis and Therapy.Chinese medical journal · 2018Review
- Noninvasive ventilatory management of the acute respiratory distress syndrome: a new era or just another tease!Annals of translational medicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
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
27007104What 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.