Back

RISK STRATIFICATION OF PATIENTS WITH COVID-19 DISEASE THROUGH THE USE OF CLINICAL SCORES IN AN EMERGENCY DEPARTMENT. A review of the literature

Zanella, S.; Zanella, F.; Mancosu, A.; Brugnolli, A.; Carrara, A.; Bevilacqua, A.; Marinelli, E.; Ricci, N.

2022-02-04 emergency medicine
10.1101/2022.02.03.22270401 medRxiv
Show abstract

DISCLAIMER STATEMENTThe authors have withdrawn the manuscript because there are some errors in the Area Under the Curve values regarding to intensive care unit admission and mortality for some scores analyzed. The article must be revised in its conclusions in order to affirm that NEWS and NEWS2 are the best clinical scores to be used in Emergency to evaluate patients with Covid-19 disease. Therefore, the authors do not wish this work to be cited as reference for one project. If you have any questions, please contact the corresponding author.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
● 5266 papers in training set
Top 12%
15.2%
Similar papers in this journal
2
Cureus
○ 68 papers in training set
Top 0.1%
10.7%
Similar papers in this journal
3
BMJ Open
● 601 papers in training set
Top 2%
9.8%
Similar papers in this journal
4
Scientific Reports
○ 3612 papers in training set
Top 5%
9.0%
Similar papers in this journal
5
Annals of Translational Medicine
○ 18 papers in training set
Top 0.1%
8.0%
Similar papers in this journal
50% of probability mass above
6
Medicine
○ 31 papers in training set
Top 0.1%
6.3%
7
BioMed Research International
○ 28 papers in training set
Top 0.1%
5.5%
8
Emergency Medicine Journal
● 21 papers in training set
Top 0.1%
4.9%
9
Frontiers in Public Health
○ 148 papers in training set
Top 1%
4.4%
10
Heliyon
○ 152 papers in training set
Top 0.7%
4.4%
11
Epidemiology and Infection
◐ 89 papers in training set
Top 0.4%
3.3%
12
Frontiers in Medicine
○ 120 papers in training set
Top 0.9%
3.2%
13
International Journal of Environmental Research and Public Health
○ 128 papers in training set
Top 3%
1.9%
14
Pan African Medical Journal
● 11 papers in training set
Top 0.3%
1.3%
15
Artificial Intelligence in Medicine
○ 17 papers in training set
Top 0.5%
1.1%
16
Frontiers in Immunology
○ 638 papers in training set
Top 9%
0.9%
17
Journal of Clinical Medicine
○ 97 papers in training set
Top 4%
0.9%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.