Evidence map›Paper›PMID 36505104›Full record

ArticleCureus2022

Clinical Characteristics and Risk Prediction Score in Patients With Mild-to-Moderate Coronavirus Disease 2019 in Japan.

Atsushi Marumo, Haruka Okabe, Hisae Sugihara, Junichi Aoyama, Yasuhiro Kato, Kensuke Arai, Yasuhiro Shibata, Etsu Fuse, Machiko Nomura, Kiyotaka Kohama

Abstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Atsushi MarumoDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Haruka OkabeDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Hisae SugiharaDivision of Clinical Laboratory, Fussa Hospital, Tokyo, JPN.
Junichi AoyamaDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Yasuhiro KatoDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Kensuke AraiDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Yasuhiro ShibataDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Etsu FuseDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Machiko NomuraDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.
Kiyotaka KohamaDivision of Internal Medicine, Fussa Hospital, Tokyo, JPN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) has rapidly spread worldwide, causing widespread mortality. Many patients with COVID-19 have been treated in homes, hotels, and medium-sized hospitals where doctors were responsible for assessing the need for critical care hospitalization. This study aimed to establish a severity prediction score for critical care triage.

methodWe analyzed the data of 368 patients with mild-to-moderate COVID-19 who had been admitted to Fussa Hospital, Japan, from April 2020 to February 2022. We defined a high-oxygen group as requiring ≥4 l/min of oxygen. Multivariable logistic regression was used to construct a risk prediction score, and the best model was selected using a stepwise selection method.

resultsMultivariable analysis showed that older age (≥70 years), elevated creatine kinase (≥127 U/L), C-reactive protein (≥2.19 mg/dL), and ferritin (≥632.7 ng/mL) levels were independent risk factors associated with the high-oxygen group. Each risk factor was assigned a score ranging from 0 to 4, and we referred to the final overall score as the Fussa score. Patients were classified into two groups, namely, high-risk (total risk factors, ≥2) and low-risk (total risk score, <2) groups. The high-risk group had a significantly worse prognosis (low-risk group, undefined vs. high-risk group, undefined; P< 0.0001).

conclusionsThe Fussa score might help to identify patients with COVID-19 who require critical care hospitalization.

Indexed as

antibiotic agentsanticoagulantscovid-19prognostic factorrisk prediction score

Identifiers

PMID36505104
PMCPMC9731547

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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.