Evidence map›Paper›PMID 36439611›Full record

ArticleCureus2022

Biruni Index as a Novel Diagnostic Tool for the Early Prediction of Mortality in Critical Patients With COVID-19: A Cohort Study.

Suna Koc, Murat Deveci, Huseyin Kayadibi, Mehmet Dokur, Ismail Yildiz, Ilke Kupeli, Baris Yilmaz

Open access · diamondAbstract 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
0.1field-weighted citation impact, top 55% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

7 authors at 2 institutions in 1 country.

Suna KocDepartment of Anesthesiology and Reanimation, Biruni University Medical Faculty, Istanbul, TUR.
Murat DeveciDepartment of Gastroenterology, Biruni University Medical Faculty, Istanbul, TUR.
Huseyin KayadibiDepartment of Medical Biochemistry, Eskisehir Osmangazi University Medical Faculty, Eskisehir, TUR.
Mehmet DokurDepartment of Emergency Medicine, Biruni University Medical Faculty, Istanbul, TUR.
Ismail YildizDepartment of Anesthesiology and Reanimation, Biruni University Medical Faculty, Istanbul, TUR.
Ilke KupeliDepartment of Anesthesiology and Reanimation, Biruni University Medical Faculty, Istanbul, TUR.
Baris YilmazDepartment of Gastroenterology, Biruni University Medical Faculty, Istanbul, TUR.
Eskişehir Osmangazi University · TRBiruni University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to find out the potential risk factors associated with mortality in severe coronavirus disease 2019 (COVID-19) patients hospitalized due to viral bronchopneumonia, and to establish a novel COVID-19 mortality index for daily use.

methodsThe study included 431 quantitative real-time polymerase chain reaction (qRT-PCR)-confirmed COVID-19-positive patients admitted to the intensive care unit in a tertiary care hospital. Patients were divided into training and validation cohorts at random (n= 285 and n= 130, respectively). Biruni Index was developed by multivariate logistic regression analysis for predicting COVID-19-related mortality.

resultsIn univariate logistic regression analysis, age, systolic and diastolic blood pressures, respiratory and pulse rates per minute, D-dimer, pH, urea, ferritin, and lactate dehydrogenase levels at first admission were statistically significant factors for the prediction of mortality in the training cohort. By using multivariate logistic regression analysis, all of these statistically significant parameters were used to produce Biruni Index. Statistically significant differences in Biruni Index were observed between ex and non-ex groups in both training and validation cohorts (

conclusionAs a pioneering clinical study, Biruni Index may be a useful diagnostic tool for clinicians to predict the mortality in critically ill patients with COVID-19 hospitalized due to severe viral bronchopneumonia. However, Biruni Index should be validated with larger series of multicenter prospective clinical studies.

Indexed as

biruni indexcovid-19intensive care unitmortalityprognostic factors

Identifiers

PMID36439611
PMCPMC9693929
OpenAlexW4307291189

What OpenQuestion holds

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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.