SynthesisBMJ (Clinical research ed.)2020
Early warning scores for detecting deterioration in adult hospital patients: systematic review and critical appraisal of methodology.
Synthesis in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07577349 (Performance of Different Early Warning Systems in Predicting 28-day Mortality Among Geriatric Emergency Department Patients), which is not on this map. Cited by 178 papers, 11 of them syntheses that pooled it.
What it found
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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.
Performance of Different Early Warning Systems in Predicting 28-day Mortality Among Geriatric Emergency Department Patients
Who cites it
178 citing papers in PubMed, 11 syntheses or guidelines pooled it.
- Clinical Surveillance Technologies in Nonintensive Care Unit Hospital Settings: Systematic Review and Bayesian Network Meta-Analysis of Randomized Trials.Journal of medical Internet research · 2026Pooled it
- Automated Features, Algorithms, and Technologies of Electronic Early Warning/Track-and-Trigger Systems: Systematic Review.Journal of medical Internet research · 2026Pooled it
- Mortality predictors in pediatric emergency department presentations: a systematic review and meta-analysis.BMC emergency medicine · 2025Pooled it
- Pooled it
- Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchers.Journal of the American Medical Informatics Association : JAMIA · 2025Pooled it
- External validation of AI-based scoring systems in the ICU: a systematic review and meta-analysis.BMC medical informatics and decision making · 2025Pooled it
- Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain.Journal of the American Medical Informatics Association : JAMIA · 2024Pooled it
- Pooled it
- Prediction Models for Bronchopulmonary Dysplasia in Preterm Infants: A Systematic Review.Frontiers in pediatrics · 2022Pooled it
- Machine learning techniques for mortality prediction in emergency departments: a systematic review.BMJ open · 2021Pooled it
- Performance of universal early warning scores in different patient subgroups and clinical settings: a systematic review.BMJ open · 2021Pooled it
- Effect of early administration of tetracosactide on mortality and host response in critically ill patients requiring rescue surgery: a sensitivity analysis of the STOPSHOCK phase 3 randomized controlled trial.Military Medical Research · 2024Trial
- Earlier ICU Transfer after CONCERN Early Warning System Score Escalation Reduced Sepsis-related Mortality: Results from a Multi-site Pragmatic Cluster Randomized Controlled Trial.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Trial
- Real-Time Physical Activity Self-Monitoring in Patients Hospitalized for Cardiology Care: Interrupted Time Series Analysis.JMIR cardio · 2026Article
- Article
- Integrating Predictive Analytics into Hospital Automation: Comparative Evaluation of Prediction Models for Patient Monitor Demand in Operating Rooms.Bioengineering (Basel, Switzerland) · 2026Article
- Delayed EHR availability of vital signs is associated with nursing shift structure.npj health systems · 2026Article
- Implementing early warning systems for sepsis recognition in African healthcare settings: an Angolan perspective.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026Article
- Transition from mandatory to discretionary nurse-measured MEWS assessment in a continuously monitored surgical ward: Diagnostic performance of wearable-derived early warning scores.Journal of clinical monitoring and computing · 2026Article
- Prognostic Value of Traditional and Optimised Vital Sign Thresholds for Risk of Serious Adverse Events in Continuously Monitored Hospitalised Patients.Sensors (Basel, Switzerland) · 2026Article
118 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
objectiveTo provide an overview and critical appraisal of early warning scores for adult hospital patients.
designSystematic review. DATA SOURCES: Medline, CINAHL, PsycInfo, and Embase until June 2019. ELIGIBILITY CRITERIA FOR STUDY SELECTION: Studies describing the development or external validation of an early warning score for adult hospital inpatients.
results13 171 references were screened and 95 articles were included in the review. 11 studies were development only, 23 were development and external validation, and 61 were external validation only. Most early warning scores were developed for use in the United States (n=13/34, 38%) and the United Kingdom (n=10/34, 29%). Death was the most frequent prediction outcome for development studies (n=10/23, 44%) and validation studies (n=66/84, 79%), with different time horizons (the most frequent was 24 hours). The most common predictors were respiratory rate (n=30/34, 88%), heart rate (n=28/34, 83%), oxygen saturation, temperature, and systolic blood pressure (all n=24/34, 71%). Age (n=13/34, 38%) and sex (n=3/34, 9%) were less frequently included. Key details of the analysis populations were often not reported in development studies (n=12/29, 41%) or validation studies (n=33/84, 39%). Small sample sizes and insufficient numbers of event patients were common in model development and external validation studies. Missing data were often discarded, with just one study using multiple imputation. Only nine of the early warning scores that were developed were presented in sufficient detail to allow individualised risk prediction. Internal validation was carried out in 19 studies, but recommended approaches such as bootstrapping or cross validation were rarely used (n=4/19, 22%). Model performance was frequently assessed using discrimination (development n=18/22, 82%; validation n=69/84, 82%), while calibration was seldom assessed (validation n=13/84, 15%). All included studies were rated at high risk of bias.
conclusionsEarly warning scores are widely used prediction models that are often mandated in daily clinical practice to identify early clinical deterioration in hospital patients. However, many early warning scores in clinical use were found to have methodological weaknesses. Early warning scores might not perform as well as expected and therefore they could have a detrimental effect on patient care. Future work should focus on following recommended approaches for developing and evaluating early warning scores, and investigating the impact and safety of using these scores in clinical practice. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42017053324.
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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.