Evidence map›Paper›PMID 35427367›Full record

SynthesisPloS one2022

A comparison of qSOFA, SIRS and NEWS in predicting the accuracy of mortality in patients with suspected sepsis: A meta-analysis.

Can Wang, Rufu Xu, Yuerong Zeng, Yu Zhao, Xuelian Hu

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 4 pooled it
–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

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

49 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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.

Can WangDepartment of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID 0000-0002-0996-9569
Rufu XuDepartment of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Yuerong ZengDepartment of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China.
Yu ZhaoDepartment of Pharmacy, University Town Hospital Affiliated of Chongqing Medical University, Chongqing, China.
Xuelian HuDepartment of Pharmacy, The Second Affiliated Hospital of Army Medical University, Chongqing, China.ORCID 0000-0002-7040-8760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify and compare prognostic accuracy of quick Sequential Organ Failure Assessment (qSOFA) score, Systemic Inflammatory Response Syndrome (SIRS) criteria, and National Early Warning Score (NEWS) to predict mortality in patients with suspected sepsis.

methodsThis meta-analysis followed accordance with the recommendations of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. We searched PubMed, EMBASE, Web of Science, and the Cochrane Library databases from establishment of the database to November 29, 2021. The pooled sensitivity and specificity with 95% CIs were calculated using a bivariate random-effects model (BRM). Hierarchical summary receiver operating characteristic (HSROC) curves were generated to assess the overall prognostic accuracy.

resultsData of 62338 patients from 26 studies were included in this meta-analysis. qSOFA had the highest specificity and the lowest sensitivity with a specificity of 0.82 (95% CI: 0.76-0.86) and a sensitivity of 0.46 (95% CI: 0.39-0.53). SIRS had the highest sensitivity and the lowest specificity with a sensitivity of 0.82 (95% CI: 0.78-0.85) and a specificity 0.24 (95% CI: 0.19-0.29). NEWS had both an intermediate sensitivity and specificity with a sensitivity of 0.73 (95% CI: 0.63-0.81) and a specificity 0.52 (95% CI: 0.39-0.65). qSOFA showed higher overall prognostic accuracy than SIRS and NEWS by comparing HSROC curves.

conclusionsAmong qSOFA, SIRS and NEWS, qSOFA showed higher overall prognostic accuracy than SIRS and NEWS. However, no scoring system has both high sensitivity and specificity for predicting the accuracy of mortality in patients with suspected sepsis.

Indexed as

SepsisSystemic Inflammatory Response SyndromeEmergency Service, HospitalHospital MortalityHumansOrgan Dysfunction ScoresPrognosisRetrospective StudiesROC Curve

Identifiers

PMID35427367
PMCPMC9012380

What OpenQuestion 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 OpenQuestion graph.