ArticleCritical care (London, England)2010
Novel representation of physiologic states during critical illness and recovery.
Article in Critical care (London, England), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Machine Learning and Artificial Intelligence in Neurocritical Care: a Specialty-Wide Disruptive Transformation or a Strategy for Success.Current neurology and neuroscience reports · 2019Review
- Data collection and interpretation.Neurocritical care · 2015Review
- Variable importance and prediction methods for longitudinal problems with missing variables.PloS one · 2015Article
- Information technology in critical care: review of monitoring and data acquisition systems for patient care and research.TheScientificWorldJournal · 2015Review
- A Chemical Engineer's Perspective on Health and Disease.Computers & chemical engineering · 2014Article
- Multimodality monitoring: informatics, integration data display and analysis.Neurocritical care · 2014Review
- Predicting critical transitions in a model of systemic inflammation.Journal of theoretical biology · 2013Article
- Article
- Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data.The journal of trauma and acute care surgery · 2013Article
- A Systems Engineering Perspective on Homeostasis and Disease.Frontiers in bioengineering and biotechnology · 2013Review
- Prognostic physiology: modeling patient severity in Intensive Care Units using radial domain folding.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Multimodal monitoring and neurocritical care bioinformatics.Nature reviews. Neurology · 2011Review
Corrections and comments
- Comment on
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinicians depend on recognizing particular critical illnesses (such as sepsis and cardiac failure) from patterns of vital signs. The relationship between a vital sign pattern and a specific condition is explored.
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.