ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2011
Predictive monitoring for early detection of subacute potentially catastrophic illnesses in critical care.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2011. 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.
- Infection and other clinical correlates of abnormal heart rate characteristics in preterm infants.The Journal of pediatrics · 2014Trial
- Vital signs, demographics, and clinical events for low-birth-weight infants from four intensive care units.medRxiv : the preprint server for health sciences · 2026Article
- Utilizing big data from electronic health records in pediatric clinical care.Pediatric research · 2023Review
- Prediction of Postoperative Deterioration in Cardiac Surgery Patients Using Electronic Health Record and Physiologic Waveform Data.Anesthesiology · 2022Article
- Prediction of Late-Onset Sepsis in Preterm Infants Using Monitoring Signals and Machine Learning.Critical care explorations · 2021Article
- Data Science for Child Health.The Journal of pediatrics · 2019Review
- Current monitoring and innovative predictive modeling to improve care in the pediatric cardiac intensive care unit.Translational pediatrics · 2018Review
- "Usability of data integration and visualization software for multidisciplinary pediatric intensive care: a human factors approach to assessing technology".BMC medical informatics and decision making · 2017Article
- Iterative User Interface Design for Automated Sequential Organ Failure Assessment Score Calculator in Sepsis Detection.JMIR human factors · 2017Article
- Predictive monitoring for sepsis and necrotizing enterocolitis to prevent shock.Seminars in fetal & neonatal medicine · 2015Review
- Abnormal heart rate characteristics are associated with abnormal neuroimaging and outcomes in extremely low birth weight infants.Journal of perinatology : official journal of the California Perinatal Association · 2014Article
- Predictive monitoring for early detection of sepsis in neonatal ICU patients.Current opinion in pediatrics · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
We wish to save lives of patients admitted to ICUs. Their mortality is high enough based simply on the severity of the original injury or illness, but is further raised by events during their stay. We target those events that are subacute but potentially catastrophic, such as infection. Sepsis, for example, is a bacterial infection of the bloodstream, that is common in ICU patients and has a >25% risk of death. Logically, early detection and treatment with antibiotics should improve outcomes. Our fundamental precepts are (1) some potentially catastrophic medical and surgical illnesses have subclinical phases during which early diagnosis and treatment might have life-saving effects, (2) these phases are characterized by changes in the normal highly complex but highly adaptive regulation and interaction of the nervous system and other organs such as the heart and lungs, (3) teams of clinicians and quantitative scientists can work together to identify clinically important abnormalities of monitoring data, to develop algorithms that match the clinicians' eye in detecting abnormalities, and to undertake the clinical trials to test their impact on outcomes.
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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.