Evidence map›Paper›PMID 33111164›Full record

ArticleInternal and emergency medicine2021

A new rapid screening program based on risk scores for COVID-19 patients.

Ru Chen, Guilan Xu, Lihui Yang, Zelin Deng, Qing Hu, Hao Hu, Zhen Wang

Open access · bronzeAbstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.0field-weighted citation impact, top 58% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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 at 4 institutions in 1 country.

Ru ChenNeurological Department, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Guilan XuNeurological Department, Changsha Central Hospital, No. 161, Shaoshan South Road, Changsha, Hunan, China.
Lihui YangInfectious Disease Department, The First Hospital of Changsha City, Changsha, Hunan, China.
Zelin DengSchool of Computer and Communication Engneering, Changsha University of Science and Technology, Changsha, Hunan, China.
Qing HuNeurological Department, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Hao HuNeurological Department, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China.
Zhen WangNeurological Department, The Third Xiangya Hospital of Central South University, Changsha, Hunan, China. wz_doc@126.com.ORCID http://orcid.org/0000-0002-4988-0016
Central South University · CNChangsha Central Hospital · CNChangsha University of Science and Technology · CNThe First Hospital of Changsha · CN

Funding

Education Department of Hunan Province 16B006
6 · The paper itself

Abstract

We aimed at establishing a new COVID-19 risk scores, serving as a guide for rapidly screening the COVID-19 patients in order to reduce the risk of COVID-19 hospital-related transmission. As the COVID-19 disease is breaking out across the world, hospital-related transmission is one of the main factors accountable for the spread of COVID-19. For COVID-19 prevention it is urgent to establish a fast and efficient screening strategy for the COVID-19 patients. We analyzed 335 patients (including 124 patients with COVID-19). Five significant clinical attributes were selected as the components for establishing a COVID-19 risk score system, and every attribute was assigned a specific score according to their respective odds ratio values. We also compared three different screening schemes (Scheme I: temperature higher than 37.2 °C on admission, Scheme II: exposure to a source of transmission within 14 days in addition to fever, Scheme III: our new COVID-19 risk score) in terms of their respective receiver operating characteristic (ROC) curves, so as to evaluate their respective screening effectiveness. Five significant risk factors, which were exposed to a source of transmission (9 points), cluster onset (6 points), history of fever or temperature higher than 37.2 °C on admission (4 points), cough (1 point) and other atypical symptoms (1 point), were ultimately selected from many candidates to construct the new rapid COVID-19 screening program. Based on the screening scheme, the patients were quickly divided into three subgroups according to their respective COVID-19 risk scores: low risk (≤ 6 points, risk < 10%), medium risk (7-13 points) and high risk (≥ 14 points, risk > 80%). When the score of 10 points was selected as a cut-off point for differentiating the patients with COVID-19 from all of the other patients, the sensitivity was 93.6%, with a specificity of 86.3%. The area under the ROC curve (AUC) of COVID-19 risk score system was 0.96 (P = 0.000), much higher than the AUCs of Scheme I (0.56, P = 0.000) and Scheme II (0.85, P = 0.000), respectively. Our COVID-19 risk score system can help the clinicians effectively and rapidly identify and differentiate the patients with COVID-19 infections, to be mainly used in those areas where COVID-19 still exhibits epidemiological characteristics.

Indexed as

Emergency Service, HospitalMass ScreeningAdultChinaCOVID-19FemaleFeverHumansMaleMiddle AgedOdds RatioPredictive Value of TestsRetrospective StudiesRisk FactorsROC CurveSymptom AssessmentCOVID-19Risk scoresScreening program

Identifiers

PMID33111164
PMCPMC7590990
OpenAlexW3096586349

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.