Evidence map›Paper›PMID 36999068›Full record

ArticleFrontiers in medicine2023

Prognostic performance of the REDS score, SOFA score, NEWS2 score, and the red-flag, NICE high-risk, and SIRS criteria to predict survival at 180 days, in emergency department patients admitted with suspected sepsis - An observational cohort study.

Narani Sivayoham, Adil N Hussain, Thomas Sheerin, Prerak Dwivedi, Danalakshmee Curpanen, Andrew Rhodes

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Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Narani SivayohamDepartment of Emergency Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.
Adil N HussainDepartment of Emergency Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.
Thomas SheerinDepartment of Emergency Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.
Prerak DwivediDepartment of Emergency Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.
Danalakshmee CurpanenDepartment of Emergency Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.
Andrew RhodesDepartment of Anaesthesia and Intensive Care Medicine, St George's University Hospitals NHS Foundation Trust, London, United Kingdom.
St George’s University Hospitals NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients admitted to hospital with sepsis are at persistent risk of poor outcome after discharge. Many tools are available to risk-stratify sepsis patients for in-hospital mortality. This study aimed to identify the best risk-stratification tool to prognosticate outcome 180 days after admission Methods: A retrospective observational cohort study was performed of adult ED patients who were admitted after receiving intravenous antibiotics for the treatment of a suspected sepsis, between 1 Results: Of the 1,057 patients studied 146 (13.8%) died at hospital discharge and 284 were known to have died within 180 days. Overall survival proportion was 74.4% at 180 days and 8.6% of the population was censored before 180 days. Only the REDS and SOFA scores identified less than 50% of the population as high-risk. All tools except the SIRS criteria, prognosticated for outcome at 180 days; Log-rank tests between high and low-risk groups were: REDS score Conclusion: In this study, all the risk-stratification tools studied were found to prognosticate for outcome at 180 days, except the SIRS criteria. The REDS and SOFA scores outperformed the other tools.

Indexed as

clinical prediction ruleemergency departmentprognosissepsisseptic shock

Identifiers

PMID36999068
PMCPMC10043441
OpenAlexW4324144866

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read83
Read underepoch 390

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.