Evidence map›Paper›PMID 39322989›Full record

ArticleAnnals of medicine2024

Prehospital Pandemic Respiratory Infection Emergency System Triage score can effectively predict the 30-day mortality of COVID-19 patients with pneumonia.

Chen Li, Liang Wu, Zhao Yang, Junyuan Tan, Xiaodong Jia, Kaili Wang, Haibin Su

Abstract read
In one paragraph

Article in Annals of medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Chen LiSenior Department of Hepatology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Liang WuSenior Department of Hepatology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Zhao YangSenior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Junyuan TanMedical Service Department, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Xiaodong JiaSenior Department of Oncology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Kaili WangSenior Department of Hepatology, The Fifth Medical Center of PLA General Hospital, Beijing, China.
Haibin SuSenior Department of Hepatology, The Fifth Medical Center of PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) patients with pneumonia should receive the guidance of initial risk stratification and early warning as soon as possible. Whether the prehospital Pandemic Respiratory Infection Emergency System Triage (PRIEST) score can accurately predict the short-term prognosis of them remains unknown. Accordingly, we aimed to assess the performance of prehospital PRIEST in predicting the 30-day mortality of patients.

methodsThis retrospective study evaluated the accuracy of five physiological parameters scores commonly used in prehospital disposal for mortality prediction using receiver operating characteristic curves and decision curve analysis. Cox proportional hazard regression analysis was conducted to evaluate independent predictors associated with the 30-day mortality.

resultsA total of 231 patients were included in this study, among which 23 cases (10.0%) died within 30 days after admission. Compared with survivor patients, non-survivor patients had greater numbers of comorbidities, signs and symptoms, complications, and physiological parameters scores and required greater prehospital care (

conclusionsThe PRIEST can accurately, quickly, and conveniently predict the 30-day mortality of COVID-19 patients with pneumonia in the prehospital phase and can guide their initial risk stratification and treatment.

Indexed as

COVID-19Emergency Medical ServicesSARS-CoV-2TriageAgedAged, 80 and overFemaleHumansMaleMiddle AgedPandemicsPrognosisRetrospective StudiesRisk AssessmentROC CurveSeverity of Illness IndexCoronavirus disease 2019mortalityPandemic Respiratory Infection Emergency System Triagephysiological parametersprehospital

Identifiers

PMID39322989
PMCPMC11425689

What Socratic holds

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Registered trials

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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 Socratic graph.