Trial reportCritical care medicine2015
An Electronic Tool for the Evaluation and Treatment of Sepsis in the ICU: A Randomized Controlled Trial.
Trial report in Critical care medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 4 of them syntheses 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
56 citing papers in PubMed, 4 syntheses or guidelines pooled it, 87 citations in OpenAlex.
- Effectiveness of clinical dashboards as audit and feedback or clinical decision support tools on medication use and test ordering: a systematic review of randomized controlled trials.Journal of the American Medical Informatics Association : JAMIA · 2022Pooled it
- Novel displays of patient information in critical care settings: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Automated monitoring compared to standard care for the early detection of sepsis in critically ill patients.The Cochrane database of systematic reviews · 2018Pooled it
- Health Information Technology Continues to Show Positive Effect on Medical Outcomes: Systematic Review.Journal of medical Internet research · 2018Pooled it
- Contextual factors related to ventilator mode during an embedded randomized trial: a longitudinal survey of clinicians.BMC health services research · 2026Trial
- Clinical Decision Support for Septic Shock in the Emergency Department: A Cluster Randomized Trial.Pediatrics · 2025Trial
- Trial
- Electronic health record-based clinical decision support alert for severe sepsis: a randomised evaluation.BMJ quality & safety · 2019Trial
- Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs.Computers in biology and medicine · 2019Trial
- Balanced Crystalloids versus Saline in the Intensive Care Unit. The SALT Randomized Trial.American journal of respiratory and critical care medicine · 2017Trial
- Article
- "I worry we'll blow right by it:" Barriers to Uptake of the STRATIFY-CDS for Acute Heart Failure.Applied clinical informatics · 2025Article
- Leveraging electronic medical records to evaluate a computerized decision support system for staphylococcus bacteremia.NPJ digital medicine · 2025Article
- Key Concepts in Machine Learning and Clinical Applications in the Cardiac Intensive Care Unit.Current cardiology reports · 2025Review
- A dynamic customized electronic health record rule based clinical decision support tool for standardized adult intensive care metrics.JAMIA open · 2024Article
- Outcomes of Hospitalized Patients With Sepsis Before and After Implementation of a Sepsis Care Improvement Initiative at a Community Hospital.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2024Article
- The Global Burden of Sepsis and Septic Shock.Epidemiologia (Basel, Switzerland) · 2024Review
- Improving Sepsis Outcomes in the Era of Pay-for-Performance and Electronic Quality Measures: A Joint IDSA/ACEP/PIDS/SHEA/SHM/SIDP Position Paper.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2024Article
- Information displays for automated surveillance algorithms of in-hospital patient deterioration: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- Patient Information Summarization in Clinical Settings: Scoping Review.JMIR medical informatics · 2023Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
objectivesTo determine whether addition of an electronic sepsis evaluation and management tool to electronic sepsis alerting improves compliance with treatment guidelines and clinical outcomes in septic ICU patients.
designA pragmatic randomized trial.
settingMedical and surgical ICUs of an academic, tertiary care medical center. PATIENTS: Four hundred and seven patients admitted during a 4-month period to the medical or surgical ICU with a diagnosis of sepsis established at the time of admission or in response to an electronic sepsis alert.
interventionsPatients were randomized to usual care or the availability of an electronic tool capable of importing, synthesizing, and displaying sepsis-related data from the medical record, using logic rules to offer individualized evaluations of sepsis severity and response to therapy, informing users about evidence-based guidelines, and facilitating rapid order entry. MEASUREMENTS AND MAIN
resultsThere was no difference between the electronic tool (218 patients) and usual care (189 patients) with regard to the primary outcome of time to completion of all indicated Surviving Sepsis Campaign 6-hour Sepsis Resuscitation Bundle elements (hazard ratio, 1.98; 95% CI, 0.75-5.20; p = 0.159) or time to completion of each element individually. ICU mortality, ICU-free days, and ventilator-free days did not differ between intervention and control. Providers used the tool to enter orders in only 28% of available cases.
conclusionsA comprehensive electronic sepsis evaluation and management tool is feasible and safe but did not influence guideline compliance or clinical outcomes, perhaps due to low utilization.
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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.