ArticleBMJ quality & safety2019
To catch a killer: electronic sepsis alert tools reaching a fever pitch?
Article in BMJ quality & safety, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Computerised clinical decision support systems and absolute improvements in care: meta-analysis of controlled clinical trials.BMJ (Clinical research ed.) · 2020Pooled it
- Views and Uses of Sepsis Digital Alerts in National Health Service Trusts in England: Qualitative Study With Health Care Professionals.JMIR human factors · 2024Article
- The Role of Genome Sequencing in Neonatal Intensive Care Units.Annual review of genomics and human genetics · 2022Review
- Human-machine teaming is key to AI adoption: clinicians' experiences with a deployed machine learning system.NPJ digital medicine · 2022Article
- Electronic nudge tool technology used in the critical care and peri-anaesthetic setting: a scoping review protocol.BMJ open · 2022Article
- Design and Implementation of a Real-time Monitoring Platform for Optimal Sepsis Care in an Emergency Department: Observational Cohort Study.Journal of medical Internet research · 2021Observational
- Early Detection of Sepsis With Machine Learning Techniques: A Brief Clinical Perspective.Frontiers in medicine · 2021Article
- Evaluating a digital sepsis alert in a London multisite hospital network: a natural experiment using electronic health record data.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Comparison of Automated Sepsis Identification Methods and Electronic Health Record-based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid Conditions.Critical care explorations · 2019Article
- Postimplementation Evaluation of a Machine Learning-Based Deterioration Risk Alert to Enhance Sepsis Outcome Improvements.Nursing administration quarterlyArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
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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.