Evidence map›Paper›PMID 33142178›Full record

ArticleThe American journal of emergency medicine2020

Predictive performance of SOFA and qSOFA for in-hospital mortality in severe novel coronavirus disease.

Sijia Liu, Ni Yao, Yanru Qiu, Chengqi He

Open access · greenAbstract readValidation Study
In one paragraph

Article in The American journal of emergency medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed, 2 pooled it
18.3field-weighted citation impact, top 1% 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

75 citing papers in PubMed, 2 syntheses or guidelines pooled it, 148 citations in OpenAlex.

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  20. Comparison of Six Scoring Systems for Predicting In-hospital Mortality among Patients with SARS-COV2 Presenting to the Emergency Department.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2023
    Article

15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Sijia LiuDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Sichuan, PR China; China International Emergency Medical Team, Sichuan, PR China.
Ni YaoChina International Emergency Medical Team, Sichuan, PR China; Department of Critical Care Medicine, West China Hospital, Sichuan University, PR China; COVID19 Medical Team (Hubei) of West China Hospital, Sichuan University, PR China; COVID-19 Ward of Renmin Hospital of Wuhan University, PR China.
Yanru QiuCOVID-19 Ward of Renmin Hospital of Wuhan University, PR China; Oncology Department of Renmin Hospital of Wuhan University, East Campus, PR China.
Chengqi HeDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Sichuan, PR China. Electronic address: liusijia@wchscu.cn.
Sichuan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe assessment of illness severity at admission can contribute to decreased mortality in patients with the coronavirus disease (COVID-19). This study was conducted to evaluate the effectiveness of the Sequential Organ Failure Assessment (SOFA) and Quick Sequential Organ Failure Assessment (qSOFA) scoring systems at admission for the prediction of mortality risk in COVID-19 patients.

methodsWe included 140 critically ill COVID-19 patients. Data on demographics, clinical characteristics, and laboratory findings at admission were used to calculate SOFA and qSOFA against the in-hospital outcomes (survival or death) that were ascertained from the medical records. The predictive accuracy of both scoring systems was evaluated by the receiver operating characteristic (ROC) curve analysis.

resultsThe area under the ROC curve for SOFA in predicting mortality was 0.890 (95% CI: 0.826-0.955), which was higher than that of qSOFA (0.742, 95% CI 0.657-0.816). An optimal cutoff of ≥3 for SOFA had sensitivity, specificity, positive predictive value, and negative predictive value of 90.00%, 83.18%, 50.00%, and 97.80%, respectively.

conclusionsThis novel report indicates that SOFA could function as an effective adjunctive risk-stratification tool at admission for critical COVID-19 patients. The performance of qSOFA is accepted but inferior to that of SOFA.

Indexed as

Organ Dysfunction ScoresAgedAge FactorsComorbidityCOVID-19Emergency Service, HospitalFemaleHospital MortalityHumansMaleMiddle AgedPandemicsPredictive Value of TestsRetrospective StudiesROC CurveSARS-CoV-2MortalityNovel coronavirus diseaseQuick sequential organ failure assessmentSequential organ failure assessment

Identifiers

PMID33142178
PMCPMC7354270
OpenAlexW3041822539

What OpenQuestion holds

Textmetadata
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.