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                  <text>volume 26 2026</text>
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            <name>Title</name>
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                <text>Analysis of factors affecting organizational engagement between pre-hospital and hospital emergency departments: a qualitative study</text>
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          <element elementId="49">
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                <text>Emergency, Hospital, Pre-hospital, Organizational challenges, Organizational engagement, Health system</text>
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            <description>An account of the resource</description>
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                <text>Introduction The provision of efficient and integrated emergency services constitutes a vital cornerstone for&#13;
reducing mortality rates and improving clinical outcomes for patients and casualties within complex healthcare&#13;
systems. Effective engagement between hospital-based and pre-hospital emergency services is crucial for the&#13;
delivery of higher quality and more appropriate patient care. This study was conducted with the aim of analyzing the&#13;
factors affecting organizational engagement between pre-hospital and hospital emergency departments.&#13;
&#13;
Methods This was a qualitative study employing a conventional content analysis approach, conducted across pre-&#13;
hospital emergency services and affiliated educational hospitals of Shahid Sadoughi University of Medical Sciences,&#13;
&#13;
Iran, in 2025. Participants included 38 experienced stakeholders in the field, encompassing managers, supervisors,&#13;
physicians, nurses, and emergency medical technicians. These individuals were selected using purposive sampling&#13;
until data saturation was achieved. Data were collected through semi-structured interviews and subsequently&#13;
analyzed using MAXQDA software (Version 22). The credibility and trustworthiness of the findings were assessed&#13;
according to Lincoln and Guba’s criteria.&#13;
Results Data analysis revealed that organizational interaction between pre-hospital and hospital emergency&#13;
services faced significant barriers, primarily attributable to poor managerial coordination, cognitive and professional&#13;
limitations, and gaps in clinical practice. Specifically, the lack of effective inter-organizational communication, weak&#13;
leadership in conflict resolution, and insufficient structural and human resource support were identified as key&#13;
managerial obstacles. In the domain of cognitive and professional limitations, negative attitudes, knowledge and skills&#13;
gaps, and decision-making biases—often arising under conditions of high workload or limited information—were&#13;
found to reduce mutual understanding and collaboration between personnel across the two sectors. Regarding&#13;
clinical practice gaps, the absence of standardized patient handover protocols, inconsistencies in the implementation&#13;
of care processes, and deficiencies in initial clinical assessments disrupted care continuity and diminished overall&#13;
service quality.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128863">
                <text>Najmeh Baghian1&#13;
&#13;
, Mohammad Sadegh Abolhasani2&#13;
&#13;
, Somayeh Bagheri3&#13;
&#13;
, Ali Zare Horoki4&#13;
&#13;
and Adel Eftekhari5*</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="128864">
                <text>https://doi.org/10.1186/s12873-025-01444-0</text>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128865">
                <text>2026</text>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128866">
                <text>Peri Irawan</text>
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            <name>Format</name>
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            <description>A language of the resource</description>
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                <text>ENGLISH</text>
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        <name>Emergency, Hospital, Pre-hospital, Organizational challenges, Organizational engagement, Health system</name>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>volume 26 2026</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="128704">
                <text>Analysis of violent attacks on emergency medical technicians in Ghana: a structural equation modelling approach</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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                <text>Emergency medical technicians (EMTs), Violent attacks, Perpetrators, Prehospital, Emergency care</text>
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            <description>An account of the resource</description>
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                <text>Background Emergency Medical Technicians (EMTs) play a crucial role in healthcare, yet they frequently encounter&#13;
violence in the line of duty. The incidence of violence against EMTs in Ghana is still not well understood, and it is a&#13;
problem that is frequently ignored.&#13;
Objective This study investigates the impact of different perpetrators on violent attacks against EMTs in Ghana,&#13;
examining how emergencies mediate these incidents. The study focuses on EMTs from the Ghana National&#13;
Ambulance Service (NAS) across three key regions: Greater Accra, Ashanti, and the Northern Region, with a total&#13;
sample size of 336 EMTs. The main population of the study consisted of EMTs, and the Partial Least Squares structural&#13;
equation technique was used for data analysis.&#13;
Methods A multistage sampling technique was employed to ensure systematic coverage across regions, with&#13;
sample sizes proportionally calculated based on the distribution of EMTs. Data was collected using a Likert scale&#13;
questionnaire to capture EMTs’ experiences and perspectives across various dimensions.&#13;
Findings The study reveals that high-stress emergencies significantly influence the types of violence EMTs&#13;
experience. These situations increase the likelihood of both physical assaults and verbal abuse. The identity of&#13;
the perpetrators, including relatives, doctors, and nurses, is also a significant factor in the occurrence of violence.&#13;
Moreover, the nature of emergencies mediates the relationship between perpetrators and the types of violent&#13;
incidents, emphasising the importance of situational factors in understanding and preventing violence against EMTs.&#13;
Conclusion In conclusion, High-stress emergencies contribute to violence against EMTs, with perpetrators playing&#13;
a crucial role. The study suggests enhancing safety training, strengthening security, raising public awareness,&#13;
implementing legal reforms, and providing mental health support.&#13;
Clinical trial number Not applicable</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128707">
                <text>Azudaa R. Atandigre1&#13;
&#13;
, Yenube Clement Kunkuaboor2*, Michael Adesi3&#13;
&#13;
, Ahmed N. Zakariah1&#13;
&#13;
, Miilon Sommik Duut1&#13;
&#13;
and Jones Opoku-Ware4</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="128708">
                <text>https://doi.org/10.1186/s12873-025-01435-1</text>
              </elementText>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="128709">
                <text>2026</text>
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            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
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                <text>PERI IRAWAN</text>
              </elementText>
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            <description>A language of the resource</description>
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                <text>ENGLISH</text>
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        <name>Emergency medical technicians (EMTs), Violent attacks, Perpetrators, Prehospital, Emergency care</name>
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              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>volume 26 2026</text>
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            <element elementId="37">
              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
              <elementTextContainer>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="129050">
                <text>Association between emergency department bed occupancy rate and in-hospital cardiac arrest in the emergency department: a retrospective study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
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                <text>Emergency department, Crowding, In-hospital cardiac arrest, Bed occupancy rate, EDBOR, Patient safety</text>
              </elementText>
            </elementTextContainer>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background In-hospital cardiac arrest (IHCA) is a critical event often preceded by signs of clinical deterioration.&#13;
Emergency department (ED) overcrowding may compromise timely monitoring and intervention and may be&#13;
associated with a higher occurrence of IHCA. The ED bed occupancy rate (EDBOR) is a quantifiable indicator of&#13;
crowding. This study aimed to examine the association between EDBOR and the occurrence of IHCA in the ED.&#13;
Methods We conducted a retrospective observational study at Thammasat University Hospital from January 2020 to&#13;
December 2022. EDBOR at the time of IHCA was compared with EDBOR during routine ED operations using a case–&#13;
control analogue design, with time points as the unit of analysis. Logistic regression was used to assess the association&#13;
between EDBOR and IHCA occurrence, with additional sensitivity analyses across high-occupancy thresholds.&#13;
Results During the three-year study period, 54,951 ED visits were recorded. EDBOR at the time of 125 IHCA events&#13;
and 3,285 control time points was analyzed. Although the mean EDBOR at the time of IHCA was slightly higher than&#13;
during control periods (75.5% vs. 70.5%), this difference was not statistically significant (p=0.275). Sensitivity analyses&#13;
across multiple EDBOR thresholds (at least 40%, 50%, 60%, 70%, and 80%) demonstrated a graded association, with a&#13;
consistently higher likelihood of IHCA at higher occupancy levels. Among time points with EDBOR at least 60%, each&#13;
10–percentage-point increase in EDBOR was associated with a 10% increase in the odds of IHCA (adjusted odds ratio&#13;
1.10; 95% confidence interval 1.01 to 1.18; p=0.02).&#13;
Conclusion Elevated EDBOR was significantly associated with an increased occurrence of IHCA in the ED. While&#13;
&#13;
causality cannot be inferred from this observational study and the findings should be considered hypothesis-&#13;
generating, monitoring EDBOR during high-occupancy periods may help inform crowding mitigation strategies and&#13;
&#13;
departmental planning, pending validation in future studies.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="129053">
                <text>Kiattichai Daorattanachai1&#13;
&#13;
, Kornrawee Srisiri1&#13;
&#13;
, Winchana Srivilaithon1&#13;
&#13;
, Chitlada Limjindaporn1&#13;
,&#13;
&#13;
Kumpol Kornthatchapong1&#13;
&#13;
, Intanon Imsuwan1&#13;
&#13;
, Ittabud Dasanadeba1&#13;
&#13;
and Nipon Diskumpon1*</text>
              </elementText>
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          <element elementId="48">
            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="129054">
                <text>https://doi.org/10.1186/s12873-025-01467-7</text>
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            </elementTextContainer>
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          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
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                <text>2026</text>
              </elementText>
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            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="129056">
                <text>PERI IRAWAN</text>
              </elementText>
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            <description>A language of the resource</description>
            <elementTextContainer>
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                <text>ENGLISH</text>
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      <tag tagId="14977">
        <name>Emergency department, Crowding, In-hospital cardiac arrest, Bed occupancy rate, EDBOR, Patient safety</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                  <text>volume 26 2026</text>
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            <element elementId="37">
              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
              <elementTextContainer>
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                  <text>PERI IRAWAN</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="129020">
                <text>Association between polypharmacy at the emergency department and long-term mortality in critically ill older patients receiving mechanical ventilation: a single- center retrospective cohort study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="129021">
                <text>Polypharmacy, Critical illness, Older adults, Mortality, Emergency medical services</text>
              </elementText>
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                <text>Background Polypharmacy is increasingly prevalent among older adults, and is associated with adverse health&#13;
outcomes. However, its prognostic impact in emergency care settings remains unclear, particularly in critically ill&#13;
older patients requiring mechanical ventilation. Therefore, this study aimed to evaluate the association between&#13;
polypharmacy at the emergency department and long-term mortality in critically ill older patients who required&#13;
mechanical ventilation.&#13;
Methods We conducted a retrospective cohort study of emergency department patients aged≥65 years who&#13;
received mechanical ventilation at a Japanese university hospital between April 2015 and December 2024. Patients&#13;
were categorized into a polypharmacy group (≥5 regular medications at admission) or a non-polypharmacy group&#13;
(fewer medications at admission). Survival was comparatively analyzed using Kaplan–Meier curves and the log-rank&#13;
test. Cox proportional hazards regression analysis was performed to examine the association between polypharmacy&#13;
at admission (reference: non-polypharmacy) and long-term mortality while adjusting for age, Charlson comorbidity&#13;
index, and the Sequential Organ Failure Assessment (SOFA) score modeled as a continuous variable. In addition, we&#13;
similarly analyzed the association between polypharmacy status at discharge among patients discharged alive and&#13;
long-term mortality.&#13;
Results The study cohort comprised 533 patients (non-polypharmacy: 207 patients, polypharmacy: 326 patients).&#13;
The median follow-up duration was 2.1 months (interquartile range [IQR], 0.6–11.7 months; maximum, 112.7 months).&#13;
Among patients discharged alive, the median follow-up duration was 3.6 months (IQR, 1.0–19.6 months). After&#13;
adjustment for age, Charlson comorbidity index, and SOFA score, patients with polypharmacy at admission were not&#13;
independently associated with all-cause mortality (hazard ratio [HR]: 1.17, 95% confidence interval [CI]: 0.85–1.60).</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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                <text>Yoshihiro Nakamura1&#13;
&#13;
, Takeshi Umegaki2*, Kota Nishimoto2&#13;
&#13;
, Takashi Muroya1&#13;
&#13;
, Takahiko Kamibayashi2&#13;
and&#13;
&#13;
Yasuyuki Kuwagata1</text>
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                <text>https://doi.org/10.1186/s12873-025-01463-x</text>
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        <name>Polypharmacy, Critical illness, Older adults, Mortality, Emergency medical services</name>
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                  <text>volume 26 2026</text>
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          <element elementId="50">
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                <text>Causes and consequences of overcrowding&#13;
in emergency departments and its impact&#13;
on patients’ care at main governmental&#13;
hospitals in Gaza Strip: a cross-sectional study</text>
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                <text>Emergency department, Overcrowding, Patient care, Gaza Strip, Healthcare professionals</text>
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                <text>Background Emergency department (ED) overcrowding is a growing challenge in many healthcare systems,&#13;
particularly in resource-limited settings such as the Gaza Strip. It negatively affects patient care quality, staff&#13;
performance, and overall hospital efficiency. This study aimed to identify the main perceived causes and&#13;
consequences of ED overcrowding in major governmental hospitals in Gaza and to assess its perceived impact on&#13;
healthcare delivery.&#13;
Methods A descriptive cross-sectional study was conducted among 289 healthcare professionals, including doctors&#13;
(59.2%) and nurses (40.8%), working in the EDs of Al-Shifa Medical Complex, Nasser Medical Complex, European&#13;
Gaza Hospital, and the Indonesian Hospital. Data were collected using a structured, self-administered questionnaire&#13;
that assessed demographic characteristics, perceived causes, and consequences of overcrowding. Statistical analysis&#13;
was performed using SPSS, employing descriptive statistics, independent t-tests, and one-way ANOVA to determine&#13;
significant differences among participants’ responses.&#13;
Results The most frequently perceived causes of overcrowding included the high number of non-emergency cases&#13;
presenting to EDs (91%), inadequate staff salaries (90.8%), limited bed capacity (88.2%), and insufficient staffing&#13;
(86.8%). Significant differences in perceptions were observed according to gender, profession, years of experience,&#13;
workplace, and department (p&lt;0.001). The main perceived consequences were increased staff stress and workload&#13;
(79.6%), reduced job satisfaction (82.6%), delayed patient care (76.8%), and increased risk of violence toward staff&#13;
(82.6%).&#13;
Conclusion Overcrowding in Gaza’s emergency departments is perceived as a complex and multifactorial problem&#13;
that may affect healthcare delivery and staff wellbeing. Addressing this issue may require systemic interventions&#13;
such as improving triage protocols, enhancing staffing and resource allocation, strengthening coordination between</text>
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              <elementText elementTextId="128883">
                <text>Hasan Hamdan1&#13;
&#13;
, Khamis Elessi1&#13;
&#13;
, Khaled Siyam2&#13;
&#13;
, Ahmed Eid3&#13;
&#13;
, Baraa Alasttal4&#13;
&#13;
, Mohammed Abdelghafour5&#13;
&#13;
, Jamil Wafi6&#13;
&#13;
and Tayseer Afifi1*</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="128884">
                <text>https://doi.org/10.1186/s12873-025-01447-x</text>
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            <name>Date</name>
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              <elementText elementTextId="128885">
                <text>2026</text>
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          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128886">
                <text>PERI IRAWAN</text>
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          <element elementId="42">
            <name>Format</name>
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        <name>Emergency department, Overcrowding, Patient care, Gaza Strip, Healthcare professionals</name>
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            <element elementId="50">
              <name>Title</name>
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                <elementText elementTextId="128558">
                  <text>volume 26 2026</text>
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    <elementSetContainer>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="129099">
                <text>ChatGPT-4o assists emergency physicians in enhancing diagnostic accuracy for fever of unknown origin: retrospective analysis</text>
              </elementText>
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          <element elementId="49">
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              <elementText elementTextId="129100">
                <text>Fever of unknown origin, ChatGPT-4o, Emergency medicine, Artificial intelligence</text>
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                <text>Objective To evaluate ChatGPT-4o’s diagnostic accuracy for fever of unknown origin (FUO) compared to emergency&#13;
physicians and assess its utility as an adjunctive diagnostic tool.&#13;
Methods This retrospective analysis included 60 adult patients presenting to the emergency department (ED) with&#13;
FUO (fever≥38.3°C for ≥3 weeks without diagnosis after initial evaluation). Only patients with a confirmed final&#13;
discharge diagnosis were included; FUO cases remaining undiagnosed at discharge were excluded. ChatGPT-4o and&#13;
emergency medicine (EM) physicians independently generated preliminary diagnoses and comprehensive diagnoses.&#13;
Diagnostic accuracy was compared against final discharge diagnoses. EM physicians subsequently revised their&#13;
diagnoses after reviewing ChatGPT-4o’s output. Statistical analysis employed Welch’s ANOVA.&#13;
Results ChatGPT-4o significantly outperformed EM residents in both preliminary (70.0% vs. 46.11%; 95% CI,&#13;
57.6%-79.9% vs. 34.4%-59.3%, P=0.008) and comprehensive diagnoses (75.0% vs. 55.0%, 95% CI, 62.9%-84.1% vs.&#13;
42.5%-66.9%, P=0.002). While numerically higher than EM specialists in both preliminary (70.0% vs. 57.78%) and&#13;
comprehensive diagnoses (75.0% vs. 68.89%), these differences did not demonstrate consistent statistical superiority.&#13;
Incorporating ChatGPT-4o’s suggestions significantly improved accuracy for both EM residents (preliminary: 67.78%&#13;
vs. 46.11%, 95% CI, 55.8%-78.6% vs. 34.4%-59.3%, P=0.002; comprehensive: 78.33% vs. 55.0%, 95% CI, 66.8%-86.6%&#13;
vs. 42.5%-66.9%, P=0.01) and specialists (preliminary: 70.22% vs. 57.78%, P=0.023), though the improvement in&#13;
specialists’ comprehensive diagnoses remained non-significant (80.89% vs. 66.67%, P=0.076). Stratified analysis&#13;
showed that ChatGPT-4o significantly improved diagnostic accuracy across major etiologic categories, including&#13;
infectious (76.0% vs. 59.4%, P=0.003) and cancer-related causes (72.2% vs. 50.0%, P&lt;0.001).&#13;
Conclusions ChatGPT-4o demonstrates potential to augment FUO diagnosis, particularly aiding less experienced&#13;
clinicians. While this study highlights AI’s complementary value, prospective trials are needed to validate its impact on&#13;
clinical efficiency.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="129102">
                <text>Hui Long1,2, Guoqing Huang1,2, Xinbo Yin1,2, Xiaojie Zheng1&#13;
, Sijia Cao1&#13;
, Nan Wang1&#13;
&#13;
, Xiangmin Li1,2 and&#13;
&#13;
Xiaokai Wang1,2*</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="129103">
                <text>https://doi.org/10.1186/s12873-026-01477-z</text>
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            <name>Date</name>
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              <elementText elementTextId="129104">
                <text>2026</text>
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            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="129105">
                <text>PERI IRAWAN</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="129107">
                <text>ENGLISH</text>
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            <name>Type</name>
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              <elementText elementTextId="129108">
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      <tag tagId="14982">
        <name>Fever of unknown origin, ChatGPT-4o, Emergency medicine, Artificial intelligence</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="128558">
                  <text>volume 26 2026</text>
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            <element elementId="37">
              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
              <elementTextContainer>
                <elementText elementTextId="128559">
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    <elementSetContainer>
      <elementSet elementSetId="1">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128643">
                <text>Comparison of the effects of microlearning and webinars on knowledge and self-efficacy of emergency medical technicians (EMTs) in the diagnosis and treatment of cardiac arrhythmias</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
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              <elementText elementTextId="128644">
                <text>Cardiac arrhythmia, Emergency medical technicians (EMTs), Knowledge, Microlearning, Self-efficacy,&#13;
Webinar</text>
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            <description>An account of the resource</description>
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                <text>Background Emergency medical technicians (EMTs) are crucial for early diagnosis and treatment of cardiac&#13;
arrhythmias. Continuous training is needed, and innovative methods such as microlearning and webinars may offer&#13;
advantages over traditional approaches.&#13;
Methods In this quasi-experimental study, 75 EMTs in Zabol, Iran (2024) were randomly assigned to microlearning,&#13;
webinar, or control groups. The microlearning group received 22 short online sessions; the webinar group attended&#13;
two 55-minute virtual lectures. Knowledge and self-efficacy were measured before, immediately after, and one month&#13;
after the interventions using validated questionnaires.&#13;
Results Microlearning was more effective and sustainable than both webinar and control methods in improving&#13;
participants’ knowledge and self-efficacy, especially at the one-month follow-up. Compared with the baseline, the&#13;
microlearning group maintained nearly 95% of their immediate post-test improvement after one month, while the&#13;
webinar group’s scores dropped by about 25%, and the control group showed no meaningful change. The differences&#13;
between microlearning and the other groups at one month were statistically significant (P&lt;0.001).&#13;
Conclusions Microlearning is more effective and durable than webinars for enhancing EMTs’ knowledge and&#13;
self-efficacy in managing cardiac arrhythmias. It is recommended as a practical approach for continuous clinical&#13;
education.</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128646">
                <text>Jafar Baranipour1&#13;
&#13;
, Seyed Mohammad Reza Hosseini2* , Gholam Reza Sharifzadeh3 and&#13;
&#13;
Mahdieh Poodineh Moghadam4</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="128647">
                <text>https://doi.org/10.1186/s12873-025-01428-0</text>
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              <elementText elementTextId="128648">
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            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128649">
                <text>Peri Irawan</text>
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        <name>Cardiac arrhythmia, Emergency medical technicians (EMTs), Knowledge, Microlearning, Self-efficacy, Webinar</name>
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            <element elementId="50">
              <name>Title</name>
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                <elementText elementTextId="128558">
                  <text>volume 26 2026</text>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Construction of an index system for assessing emergency department overcrowding in Chinese tertiary hospitals: a Delphi study</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="129081">
                <text>Delphi method, Emergency department, Crowding, Assessment, Index system</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="129082">
                <text>Background Emergency department crowding (EDC) is a global public health crisis associated with adverse patient-&#13;
and physician-related events. Currently, a reliable EDC assessment tool is lacking in China, as existing international&#13;
&#13;
models cannot be directly adapted owing to differences in healthcare systems, data accessibility constraints,&#13;
and national policy contexts. The issue is multifactorial, data are difficult to obtain, and EDC varies regionally&#13;
and temporally. Therefore, we developed a crowding assessment index system for tertiary hospital emergency&#13;
departments in China, aiming to support the development of quantitative models suited to local conditions and&#13;
formulation of related policies.&#13;
Methods This study used two rounds of Delphi surveys involving a multidisciplinary expert panel from China,&#13;
with expertise in emergency care crowding research and management. Experts rated 96 presumptive assessment&#13;
indicators. The index system’s reliability was assessed by evaluating the experts’ enthusiasm, degree of authority, and&#13;
degree of consistency and coordination in their opinions. The core EDC indicators were screened and optimised&#13;
based on the boundary value method, with decision rules including coefficient of variation&lt;0.25 and full-score&#13;
ratio≥50%, referenced from prior Delphi studies. The final assessment system was established after modifying the&#13;
indicators per the experts’ opinions. Data were summarised using descriptive statistics.&#13;
Results All 16 invited and eligible panellists participated (response rate, 100% in both rounds); the authority&#13;
coefficient was 0.85. Most were aged&gt;40 years (14/16 [88%]), and the sex distribution was equal (eight men, eight&#13;
women). Panellists achieved consensus on 3 primary, 8 secondary, and 56 tertiary indicators for EDC assessment. The&#13;
three primary indicators included the emergency department ‘input-process-output’ phases. The input indicators&#13;
included patient (e.g., age) and temporal (e.g., day or night) characteristics. The process indicators covered resource&#13;
requirements (e.g., intravenous infusions), resource supply (e.g., doctor–patient ratio), and process efficiency (e.g.,</text>
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              <elementText elementTextId="129083">
                <text>Zhen Ren1†, Nengyuan Xu1†, Yilan Yang1&#13;
, Shu Li1&#13;
, Hua Zhang2&#13;
&#13;
, Lijun Wang3&#13;
&#13;
, Yessai Negati Mu4&#13;
&#13;
, Wei Chong5&#13;
,&#13;
&#13;
Ping Zhou6&#13;
, Longfei Pan7&#13;
&#13;
, Guoxing Wang8&#13;
&#13;
, Xiaojing Li9&#13;
&#13;
, Yan Li10, Wencao Liu11, Hongxuan Liu12, Bin Xu13, Yinzi Jin14,&#13;
&#13;
Li Ma1&#13;
, Guilong Feng15* and Qingbian Ma1*</text>
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              <elementText elementTextId="129084">
                <text>2026</text>
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                <text>PERI IRAWAN</text>
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      <tag tagId="14980">
        <name>Delphi method, Emergency department, Crowding, Assessment, Index system</name>
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                  <text>volume 26 2026</text>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="128960">
                <text>Development and internal validation of the goliat score to predict 48-hour complications after minor/moderate traumatic brain injury in the emergency department: a single-center cohort study</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128961">
                <text>Traumatic brain injury, Emergency department, Risk stratification, Clinical prediction, Elderly people</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Background Most patients with non-severe traumatic brain injury (TBI) do not develop complications after 24 h&#13;
of hospital observation. Identifying low-risk patients could enable safe discharge and follow-up—potentially via&#13;
telemedicine—while avoiding unnecessary cranial CT scans, particularly in older adults.&#13;
Methods We performed a single-centre, consecutive cohort study (tertiary ED, Spain; 1 June 2019–31 December&#13;
2020). Adults with minor/moderate TBI (GCS 13–15) were included. The primary outcome was any clinically relevant&#13;
complication within 48 h (neurological, cardiorespiratory, or death), ascertained by a structured 48-h telephone&#13;
follow-up plus electronic health record review by assessors independent from clinical care. Candidate predictors&#13;
(≤6 h) comprised baseline factors (age, sex, Charlson comorbidity index, prior anticoagulation), injury-severity signals&#13;
(polytrauma-code activation, pupil abnormality, fluctuating GCS), physiology/haematology (systolic blood pressure,&#13;
platelet count), and serum S100 (&lt;6 h). A multivariable logistic regression with prespecified functional forms (splines/&#13;
transforms) and two interactions (sex×log[S100]; hypertension×SBP) was fitted. Internal validation used bootstrap/&#13;
LOOCV with optimism correction and uniform shrinkage. Performance was assessed by AUC, Brier score, calibration&#13;
(slope/intercept, plots), and decision-curve analysis (DCA). We defined a risk-stratified pathway at ~6 h (discharge vs.&#13;
short observation vs. admission).&#13;
Results Median age was 84 years (IQR 73–88), and 84.6% were ≥65 years. Acute complications occurred in&#13;
155 patients (29.5%). Independent predictors were age, sex, platelet count, systolic blood pressure, history of&#13;
hypertension, S100B level at 6 h, anticoagulant treatment, and any high-risk clinical event (fluctuating GCS, moderate&#13;
severity, pupil alteration, TBI code activation, anticoagulant reversal, polytrauma). Pathological CT findings did not&#13;
show a significant contribution to the predictive model (LRT p=0.10) and were not used. The Goliat score achieved an</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128963">
                <text>Oriol Yuguero1,2,3*, Itziar López-Vena1&#13;
&#13;
, Montserrat Martinez-Alonso2,4, Ana Vena1,2, Maria Bernal5&#13;
and&#13;
&#13;
Francisco Purroy2,6</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="128964">
                <text>https://doi.org/10.1186/s12873-025-01457-9</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128965">
                <text>2026</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="37">
            <name>Contributor</name>
            <description>An entity responsible for making contributions to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128966">
                <text>PERI IRAWAN</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="128967">
                <text>PDF</text>
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                <text>ENGLISH</text>
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        <name>Traumatic brain injury, Emergency department, Risk stratification, Clinical prediction, Elderly people</name>
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            <element elementId="50">
              <name>Title</name>
              <description>A name given to the resource</description>
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                <elementText elementTextId="128558">
                  <text>volume 26 2026</text>
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            <element elementId="37">
              <name>Contributor</name>
              <description>An entity responsible for making contributions to the resource</description>
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                <elementText elementTextId="128559">
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128673">
                <text>Diagnostic performance of procalcitonin and presepsin in sepsis: a systematic review and meta-analysis</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="128674">
                <text>Sepsis, Procalcitonin, Presepsin, Sensitivity, Specificity, Diagnostic test</text>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="128675">
                <text>Background Sepsis is a critical emergency condition characterized by life-threatening organ dysfunction due to a&#13;
dysregulated response to infection. In the fast-paced emergency department (ED) setting, rapid identification and&#13;
prompt initiation of treatment within the initial hours following sepsis onset are critical for reducing mortality and&#13;
improving patient outcomes. However, a timely and accurate diagnosis remains a significant challenge in emergency&#13;
medicine. Biomarkers such as procalcitonin (PCT) and presepsin (P-SEP) have been proposed as tools to distinguish&#13;
sepsis from other non-infectious inflammatory conditions frequently encountered in the ED, though their diagnostic&#13;
effectiveness remains controversial. This study aimed to evaluate the diagnostic performance of PCT and P-SEP for&#13;
diagnosis patients with sepsis.&#13;
Methods A comprehensive systematic search was conducted across the Cochrane Central Register of Controlled&#13;
Trials, PubMed, and Scopus databases up to April 1st, 2024 and updated on June 30th, 2025. Studies reporting&#13;
sensitivity and specificity of PCT and P-SEP for sepsis detection among patients in acute and emergency settings were&#13;
included. Hierarchical modeling techniques were utilized to pool data for sensitivity, specificity, and area under the&#13;
receiver operating characteristic curve (AUROC) along with their 95% confidence intervals (CIs).&#13;
Results Thirty-eight observational studies met inclusion criteria. The pooled sensitivities and specificities for&#13;
detecting sepsis using PCT were 0.78 (95% CI: 0.74–0.81) and 0.77 (95% CI: 0.71–0.82), respectively. Similarly, for&#13;
P-SEP, pooled sensitivity and specificity were 0.82 (95% CI: 0.77–0.86) and 0.78 (95% CI: 0.73–0.83), respectively. No&#13;
statistically significant differences were identified between PCT and P-SEP regarding sensitivity (p=0.169) or specificity&#13;
(p=0.792). The summary receiver operating characteristic analysis yielded an AUROC of 0.84 (95% CI: 0.81–0.87) for&#13;
PCT and 0.87 (95% CI: 0.84–0.90) for P-SEP.&#13;
Conclusions Both PCT and P-SEP represent reliable biomarkers for early and accurate sepsis detection in acute&#13;
and ED settings, demonstrating comparable diagnostic performance. Their integration into routine ED assessment&#13;
protocols may support timely clinical decision-making and prompt initiation of appropriate treatment strategies.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="128676">
                <text>Tanakon Chairaj1†, Pajaree Mongkhon2†, Pit Leewongsakorn1&#13;
&#13;
, Kritsada Saensongkwae1&#13;
&#13;
, Sawitree Nangola3&#13;
,&#13;
&#13;
Somphot Saoin3&#13;
&#13;
, Eakkapote Prompunt3&#13;
&#13;
, Prawat Chantharit4&#13;
&#13;
and Chiraphat Kloypan1*</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="128677">
                <text>https://doi.org/10.1186/s12873-025-01433-3</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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              <elementText elementTextId="128678">
                <text>2026</text>
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            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="128679">
                <text>PERI IRAWAN</text>
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