Evidence map›Paper›PMID 36864814›Full record

ArticleCroatian medical journal2023

The performance of the WHO COVID-19 severity classification, COVID-GRAM, VACO Index, 4C Mortality, and CURB-65 prognostic scores in hospitalized COVID-19 patients: data on 4014 patients from a tertiary center registry.

Marko Lucijanić, Nevenka Piskač Živković, Tanja Režić, Ivan Durlen, Josip Stojić, Ivana Jurin, Sara Šakota, Dora Filipović, Iva Kurjaković, Ana Jordan and 4 more

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Article in Croatian medical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

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12citing papers in PubMed, 1 pooled it
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1 · What the graph read from it

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Marko LucijanićMarko Lucijanić, Hematology Department, University Hospital Dubrava, Av. Gojka Šuška 6, 10000 Zagreb, Croatia, markolucijanic@yahoo.com.
Nevenka Piskač Živković
Tanja Režić
Ivan Durlen
Josip Stojić
Ivana Jurin
Sara Šakota
Dora Filipović
Iva Kurjaković
Ana Jordan
Nikolina Bušić
Josipa Pavić
Ivica Lukšić
Bruno Baršić

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo evaluate the predictive properties of several common prognostic scores regarding survival outcomes in hospitalized COVID-19 patients.

methodsWe retrospectively reviewed the medical records of 4014 consecutive COVID-19 patients hospitalized in our tertiary level institution from March 2020 to March 2021. Prognostic properties of the WHO COVID-19 severity classification, COVID-GRAM, Veterans Health Administration COVID-19 (VACO) Index, 4C Mortality Score, and CURB-65 score regarding 30-day mortality, in-hospital mortality, presence of severe or critical disease on admission, need for an intensive care unit treatment, and mechanical ventilation during hospitalization were evaluated.

resultsAll of the investigated prognostic scores significantly distinguished between groups of patients with different 30-day mortality. The CURB-65 and 4C Mortality Score had the best prognostic properties for prediction of 30-day mortality (area under the curve [AUC] 0.761 for both) and in-hospital mortality (AUC 0.757 and 0.762, respectively). The 4C Mortality Score and COVID-GRAM best predicted the presence of severe or critical disease (AUC 0.785 and 0.717, respectively). In the multivariate analysis evaluating 30-day mortality, all scores mutually independently provided additional prognostic information, except the VACO Index, whose prognostic properties were redundant.

conclusionComplex prognostic scores based on many parameters and comorbid conditions did not have better prognostic properties regarding survival outcomes than a simple CURB-65 prognostic score. CURB-65 also provides the largest number of prognostic categories (five), allowing more precise risk stratification than other prognostic scores.

Indexed as

COVID-19HumansPrognosisRegistriesRetrospective StudiesWorld Health Organization

Identifiers

PMID36864814
PMCPMC10028560

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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.