ArticleCurrent infectious disease reports2012
Variability analysis and the diagnosis, management, and treatment of sepsis.
Article in Current infectious disease reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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
29 citing papers in PubMed, 60 citations in OpenAlex.
- Predicting deterioration of patients with early sepsis at the emergency department using continuous heart rate variability analysis: a model-based approach.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023Trial
- Complex signals bioinformatics: evaluation of heart rate characteristics monitoring as a novel risk marker for neonatal sepsis.Journal of clinical monitoring and computing · 2014Trial
- Parenclitic network mapping predicts survival in critically ill patients with sepsis.Physiological reports · 2025Article
- Liberation from mechanical ventilation using Extubation Advisor Decision Support (LEADS): protocol for a multicentre pilot trial.BMJ open · 2025Article
- Feasibility and Optimization of Donation Advisor: a Decision Support Tool for Deceased Organ Donation and Transplantation.Transplantation direct · 2025Article
- Roadmap for the evolution of monitoring: developing and evaluating waveform-based variability-derived artificial intelligence-powered predictive clinical decision support software tools.Critical care (London, England) · 2024Review
- Changepoint Detection in Heart Rate Variability Indices in Older Patients Without Cancer at End of Life Using Ballistocardiography Signals: Preliminary Retrospective Study.JMIR formative research · 2024Article
- Morphic Sensors for Respiratory Parameters Estimation: Validation against Overnight Polysomnography.Biosensors · 2023Article
- Embracing complexity in sepsis.Critical care (London, England) · 2023Review
- Possible effects of Treponema pallidum infection on human vascular endothelial cells.Journal of clinical laboratory analysis · 2022Review
- An Innovative Wearable Device For Monitoring Continuous Body Surface Temperature (HEARThermo): Instrument Validation Study.JMIR mHealth and uHealth · 2021Article
- Heart rate variability measures for prediction of severity of illness and poor outcome in ED patients with sepsis.The American journal of emergency medicine · 2020Observational
- Optimizing Our Patients' Entropy Production as Therapy? Hypotheses Originating from the Physics of Physiology.Entropy (Basel, Switzerland) · 2020Article
- Monitoring skin temperature at the wrist in hospitalised patients may assist in the detection of infection.Internal medicine journal · 2020Article
- Heart rate variability: Measurement and emerging use in critical care medicine.Journal of the Intensive Care Society · 2020Review
- Influencing outcomes with automated time zero for sepsis through statistical validation and process improvement.mHealth · 2019Article
- Repeated vital sign measurements in the emergency department predict patient deterioration within 72 hours: a prospective observational study.Scandinavian journal of trauma, resuscitation and emergency medicine · 2018Observational
- The Central Role of the Inflammatory Response in Understanding the Heterogeneity of Sepsis-3.BioMed research international · 2018Review
- Observational
- Monitoring Severity of Multiple Organ Dysfunction Syndrome: New Technologies.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2017Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Severe sepsis leading to organ failure is the most common cause of mortality among critically ill patients. Variability analysis is an emerging science that characterizes patterns of variation of physiologic parameters (e.g., vital signs) and is believed to offer a means for evaluating the underlying complex system producing those dynamics. Recent studies have demonstrated that variability of a variety of physiological parameters offers a novel means for helping diagnose, manage, and treat sepsis. The purpose of this literature review is to examine existing data regarding the use of variability analysis in patients suffering from sepsis and to highlight potential uses for variability in improving care for patients with sepsis. Recent articles published on heart rate, respiratory rate, temperature, and glucose variability are reviewed. The association between reduced heart rate and temperature variability and sepsis and its severity, the relationship between augmented glucose variability and mortality risk, and current uses of respiratory rate variability in critically ill patients will all be discussed. These findings represent early days in the understanding of variability alteration and its physiological significance; further research is required to understand and implement variability analyses into meaningful clinical decision support algorithms. Large, multicenter observational studies are needed to derive and validate the associations between variability and clinical events and outcomes in order to realize the potential of variability to change sepsis care and improve clinical outcomes.
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.