Evidence map›Paper›PMID 34760663›Full record

ArticleInternational journal of critical illness and injury science

Utility of early warning scores to predict mortality in COVID-19 patients: A retrospective observational study.

Nidhi Kaeley, Prakash Mahala, Ankita Kabi, Suman Choudhary, Anirban Ghosh Hazra, Subramanyam Vempalli

Open access · hybridAbstract read
In one paragraph

Article in International journal of critical illness and injury science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Clinical Characteristics and Outcome of Readmitted Adult Patients With Acute COVID-19 Infection Within 30 Days of Their Hospital Discharge.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
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  9. [COVID-19 mortality prediction. Comparison between two scales].Revista medica del Instituto Mexicano del Seguro Social · 2022
    Article
  10. 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

6 authors at 1 institution.

Nidhi KaeleyDepartment of Emergency Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Prakash MahalaDepartment of Emergency Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Ankita KabiDepartment of Emergency Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Suman ChoudharyDepartment of Microbiology, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Anirban Ghosh HazraDepartment of Emergency Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
Subramanyam VempalliDepartment of Emergency Medicine, All India Institute of Medical Sciences, Rishikesh, Uttarakhand, India.
All India Institute of Medical Sciences Rishikesh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID19) has evolved as a global pandemic. The patients with COVID-19 infection can present as mild, moderate, and severe disease forms. The reported mortality of severe acute respiratory syndrome coronavirus 2 (SARS-COV-2) infection is around 6.6%, which is lower than that of SARS-CoV and (middle east respiratory syndrome CoV). However, the fatality rate of COVID-19 infection is higher in the geriatric age group and in patients with multiple co-morbidities. The study aimed to evaluate the utility of early warning scores (EWS) to predict mortality in patients with moderate to severe COVID-19 infection.

methodsThis retrospective study was carried out in a tertiary care institute of Uttarakhand. Demographic and clinical data of the admitted patients with moderate-to-severe COVID-19 infection were collected from the hospital record section and utilized to calculate the EWS-National early warning score (NEWS), modified early warning score (MEWS), Rapid Acute Physiology Score (RAPS), rapid emergency medicine score (REMS), and worthing physiological scoring system (WPS).

resultsThe area under the curve for NEWS, MEWS, RAPS, REMS, and WPS was 0.813 (95% confidence interval [CI]; 0.769-0.858), 0.770 (95% CI; 0.717-0.822), 0.755 (95% CI; 0.705-0.805), 0.892 (95% CI; 0.859-0.924), and 0.892 (95% CI; 0.86-0.924), respectively.

conclusionThe EWS at triage can be used for early assessment of severity as well as predict mortality in patients with COVID-19 patients.

Indexed as

Coronavirus disease 2019early warning scoresintensive care unit mortality

Identifiers

PMID34760663
PMCPMC8547678
OpenAlexW3202485528

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.