Evidence map›Paper›PMID 38633908›Full record

ArticleInfectious diseases & clinical microbiology2023

Evaluation of Inflammation-Based Prognostic Risk Scores in Predicting in-Hospital Mortality Risk in COVID-19 Patients: A Cross-Sectional Retrospective Study.

Çaşıt Olgun Çelik, Nurtaç Özer, Orçun Çiftci, Şerife Torun, Meriç Yavuz Çolak, İbrahim Haldun Müderrisoğlu

Abstract read
In one paragraph

Article in Infectious diseases & clinical microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

6 authors.

Çaşıt Olgun ÇelikDepartment of Cardiology, Başkent University Konya Practise and Research Hospital, Konya, Turkey.ORCID https://orcid.org/0000-0002-7190-5443
Nurtaç ÖzerDepartment of Cardiology, Private Natomed Hospital, Ankara, Turkey.ORCID https://orcid.org/0000-0001-7533-8784
Orçun ÇiftciDepartment of Cardiology, Başkent University School of Medicine, Ankara Hospital, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8926-9142
Şerife TorunDepartment of Chest Diseases Başkent University Konya Training and Research Hospital, Konya, Turkey.ORCID https://orcid.org/0000-0002-0715-6599
Meriç Yavuz ÇolakDepartment of Biostatistics, Başkent University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-0294-6874
İbrahim Haldun MüderrisoğluDepartment of Biostatistics, Başkent University School of Medicine, Ankara, Turkey.ORCID https://orcid.org/0000-0002-9635-6313

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Systemic inflammatory parameters are predictors of poor prognosis in COVID-19 patients. This study evaluated whether the prognostic nutritional index, which was also related to nutrition risk and other inflammation-based prognostic scores, was predictive of in-hospital mortality in COVID-19 patients. Materials and Methods: This was a retrospective cross-sectional single-center study. Based on the exclusion criteria, 151 patients over 18 years old diagnosed with COVID-19 and hospitalized in the intensive care unit between March 2020 and December 2020 were eligible for this study. Multivariable logistic regression analysis was performed to evaluate the predictive value of the Glasgow Prognostic Score (GPS), Prognostic Index (PI), Prognostic Nutritional Index (PNI), and Systemic Inflammatory Index (SII). Results: In the univariate analyses, age, diabetes mellitus (DM), chronic kidney disease, acute kidney injury, hypothyroidism, hospitalization stay, lactate dehydrogenase (LDH), aspartate aminotransferase (AST), D-dimer, ferritin, C-reactive protein (CRP), albumin, hemoglobin level, platelet count, urea, creatinine level, PNI, GPS were significantly associated with mortality. However, in the multivariable logistic regression analysis of the inflammation-based prognostic scores, only PNI was statistically significant in predicting in-hospital mortality (OR=0.83; [95% CI=0.71-0.97]; Conclusion: PNI is a more useful and powerful tool among these inflammation-based prognostic risk scores in predicting in-hospital mortality in COVID-19 patients.

Indexed as

COVID-19inflammation-based prognostic scoresmortalityprognostic nutritional index

Identifiers

PMID38633908
PMCPMC10986716

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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.