Evidence map›Paper›PMID 35000356›Full record

ArticleClinical and experimental emergency medicine2021

A comparison of scoring systems for predicting mortality and sepsis in the emergency department patients with a suspected infection.

Manita Thodphetch, Boriboon Chenthanakij, Borwon Wittayachamnankul, Kamphee Sruamsiri, Theerapon Tangsuwanaruk

Open access · diamondAbstract read
In one paragraph

Article in Clinical and experimental emergency medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 17% of its field
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

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.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Screening tools for sepsis identification in paramedicine and other emergency contexts: a rapid systematic review.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Pooled it
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  9. Prognostic Accuracy of SpOThe western journal of emergency medicine · 2023
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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

5 authors at 1 institution in 1 country.

Manita ThodphetchDepartment of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Boriboon ChenthanakijDepartment of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Borwon WittayachamnankulDepartment of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Kamphee SruamsiriDepartment of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Theerapon TangsuwanarukDepartment of Emergency Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Chiang Mai University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveWe aimed to compare the modified National Early Warning Score (mNEWS), quick Sequential Organ Failure Assessment (qSOFA) score, modified Systemic Inflammatory Response Syndrome (mSIRS) score, and modified Search Out Severity (mSOS) score in predicting mortality and sepsis among patients suspected of first observed infections in the emergency department. The modified scores were created by removing variables for simplicity.

methodsThis was a prospective cohort study that enrolled adult patients presenting at the emergency department with signs and symptoms suggesting infection. The mNEWS, qSOFA score, mSIRS score, and mSOS score were calculated using triage data. The SOFA score was a reference standard for sepsis diagnosis. All patients were monitored for up to 30 days after the initial visit to measure each scoring system's ability to predict 30-day mortality and sepsis.

resultsThere were 260 patients included in the study. The 30-day mortality prediction with mNEWS ≥5 had the highest sensitivity (91.18%). The highest area under the receiver operating characteristic curve (AUC) for the 30-day mortality prediction was mNEWS (0.607), followed by qSOFA (0.605), mSOS (0.550), and mSIRS (0.423). The sepsis prediction with mNEWS ≥5 had the highest sensitivity (96.48%). The highest AUC for the sepsis prediction was also mNEWS (0.685), followed by qSOFA (0.605), mSOS (0.480), and mSIRS (0.477).

conclusionmNEWS was an acceptable scoring system screening tool for predicting mortality and sepsis in patients with a suspected infection.

Indexed as

Clincal decision ruleEmergency service, hospitalMortalityPrognosisSepsis

Identifiers

PMID35000356
PMCPMC8743683
OpenAlexW4200408991

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LicenceCC BY-NC
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Registered trials

None linked

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.