ArticleBMC emergency medicine2025
Comparison of emergency physician opinions with MSOFA and PREMEWS scores in determining the necessity of non-traumatic internal medicine patient transfers to the emergency department: a longitudinal study.
Article in BMC emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAccurate prehospital decision-making is critical in emergency care to ensure the appropriate use of resources and optimal patient outcomes. However, the alignment between emergency physicians' clinical judgments and scoring systems such as Prehospital Modified Early Warning Score (Pre-MEWS) and the modified Sequential Organ Failure Assessment (mSOFA) remains underexplored.
objectiveThis study investigates the consistency of prehospital Pre-MEWS and in-hospital mSOFA scores with emergency physicians' judgments in determining the necessity of non-traumatic Internal Medicine Patient transfers to emergency departments (EDs). Additionally, it evaluates the clinical outcomes of these transfers.
methodsIn this longitudinal study conducted between 2019 and 2020 in Semnan, Iran, 675 non-traumatic Internal patients transferred to a single ED were analyzed. Pre-MEWS scores were recorded prehospital, while mSOFA scores and physicians' evaluations were documented post-transfer. Outcomes included discharge, hospital admission, ICU transfer, or death.
resultsThis study analyzed 675 non-traumatic Internal patients transferred to the emergency department, with a mean age of 55.93 ± 21.89 years. 31% of transfers were deemed unnecessary by emergency physicians. The mean length of stay was 5.63 ± 5.69 h, showing a significant correlation with higher Pre-MEWS and mSOFA scores (p < 0.0001). Based on Pre-MEWS, patients were stratified into three risk levels: Green (≤ 3, no ICU/mortality), Yellow (4-12, 3.8% ICU admissions, no deaths), and Red (≥ 13, all deceased patients). mSOFA scoring identified two risk levels: Yellow (1-5, 0% mortality, ICU risk rising to 20%) and Red (≥ 6, ICU admissions up to 100%, mortality risk reaching 676.8%). Specifically, all deceased patients had Pre-MEWS scores ≥ 13, and ICU admission was observed in 3.8% of patients with Pre-MEWS scores between 4 and 12. The mSOFA score demonstrated superior predictive accuracy for mortality and ICU admission compared to Pre-MEWS. However, Pre-MEWS provided practical utility for prehospital triage.
conclusionCombining scoring systems with clinical judgment can improve decision-making in prehospital settings. Enhanced integration of tools and expertise is recommended to reduce unnecessary transfers and optimize emergency care.
Indexed as
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.