Evidence map›Paper›PMID 34080790›Full record

Observational studyNursing open2022

Prognostic value of three rapid scoring scales and combined predictors for the assessment of patients with coronavirus disease 2019.

Hai Hu, Weili Kong, Ni Yao, Yanru Qiu, Rong Yao

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. 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
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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 at 2 institutions in 1 country.

Hai HuInternational Emergency Medical Team (Sichuan), Emergency Office of West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Weili KongDepartment of Otolaryngology, Head and Neck Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.ORCID https://orcid.org/0000-0002-1248-5522
Ni YaoDepartment of Critical Care Medicine, COVID-19 Medical Team (Hubei) of West China Hospital, West China Hospital, Sichuan University, Chengdu, People's Republic of China.
Yanru QiuOncology Department of Renmin Hospital of Wuhan University (East Campus), COVID-19 Ward of Renmin Hospital of Wuhan University, Wuhan, Hubei, People's Republic of China.
Rong YaoInternational Emergency Medical Team (Sichuan), Emergency Office of West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Sichuan University · CNWuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo explore the factors affecting mortality in patients with COVID-19 and to verify the predictive value of the three rapid scoring scales MEWS, RAPS and REMS.

designCross-sectional observational study.

methodsKaplan-Meier and Cox survival analyses were performed to identify the risk factors associated with COVID-19-related death. A ROC curve analysis was used to evaluate the abilities of the three scoring scales to predict the prognosis of COVID-19 patients.

resultsAge, low blood oxygen saturation level and decreased lymphocyte count were the high risk factors for COVID-19-related mortality. The analysis of the abilities of the three scales to predict the prognosis of COVID-19 patients: The AUC of 0.641 for the RAPS (p = .065). The MEWS (AUC = 0.705, p = .007), compared with RAPS, the NRI was 0.371(p = .03), and the IDI = 0.092 (p = .046); The REMS (AUC = 0.841, p < .001), compared with MEWS, the NRI was 0.227(p = .12), and the IDI=0.09(p = .047); The Combining Predictor (AUC = 0.878, p < .001), compared with REMS, the NRI was 0.25(p = .113), and the IDI=0.02(p = .598).

conclusionPatients with an old age, low blood oxygen saturation level and decreased lymphocyte count were at a high risk of COVID-19-related mortality. Moreover, our analysis revealed that the REMS had a better prognostic ability than the MEWS and RAPS when applied to COVID-19 patients. Our findings suggest that the REMS can be used as a rapid scoring tool for the early assessment of COVID-19 severity.

Indexed as

COVID-19Cross-Sectional StudiesEmergency Service, HospitalHospital MortalityHumansPrognosisCOVID-19predictionprognosisRapid Scoring Scalesrisk factors

Identifiers

PMID34080790
PMCPMC8242648
OpenAlexW3157345687

What OpenQuestion holds

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LicenceCC BY
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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.