Evidence map›Paper›PMID 33887100›Full record

ArticleInternational journal of clinical practice2021

The role of hemogram parameters and C-reactive protein in predicting mortality in COVID-19 infection.

Ethem Acar, Ahmet Demir, Birdal Yıldırım, Mehmet Gökhan Kaya, Kemal Gökçek

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
3.2field-weighted citation impact, top 7% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

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  4. Hematological Ratios inAnimals : an open access journal from MDPI · 2026
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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 1 institution in 1 country.

Ethem AcarDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Kocman University, Mugla, Turkey.ORCID https://orcid.org/0000-0003-2251-112X
Ahmet DemirDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Kocman University, Mugla, Turkey.ORCID https://orcid.org/0000-0002-2513-8757
Birdal YıldırımDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Kocman University, Mugla, Turkey.ORCID https://orcid.org/0000-0002-6626-2180
Mehmet Gökhan KayaDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Kocman University, Mugla, Turkey.ORCID https://orcid.org/0000-0002-9622-5161
Kemal GökçekDepartment of Emergency Medicine, Faculty of Medicine, Mugla Sitki Kocman University, Mugla, Turkey.ORCID https://orcid.org/0000-0002-9295-4965
Muğla University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThis study aimed to investigate hemogram parameters and C-reactive protein (CRP) that can be used in clinical practice to predict mortality in hospitalized patients with a diagnosis of COVID-19.

methodsThis cohort study was conducted at University Hospital, which is a designated hospital for COVID-19 patients. Adult patients who were admitted to our hospital emergency department with suspected COVID-19 and who were hospitalized in our institution with a COVID-19 diagnosis were analysed.

resultsThere were 148 patients hospitalized with COVID-19. All-cause mortality of follow-up was 12.8%. There were statistically significant results between the two groups (survivors and nonsurvivors), which were classified based on hospital mortality rates, in terms of the lymphocyte to C-reactive protein ratio (LCRP), systemic immune inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), CRP concentration and comorbid disease. In a receiver operating characteristic (ROC), curve analysis, LCRP, NLR, PLR and SII area under the curve (AUC) for in-hospital mortality were 0.817, 0.816, 0.733 and 0.742, respectively. Based on an LCRP value of 1 for in-hospital mortality, the sensitivity and specificity rates were 100% and 86.8%, respectively. Based on the average SII of 2699 for in-hospital mortality, the sensitivity, specificity and accuracy rates were 68.4%, 77.5% and 76.3%, respectively. A total of 19 patients died during hospitalization. All of these patients had an LCRP level ≤ 1; 14 had an NLR level ≤ 10.8; 13 had an SII ≥ 2699 (Fisher's exact test, P = .000). Independent predictors of in-hospital mortality rates were LCRP < 1, PLR, SII ≥ 2699, white blood cell count, CRP, age, comorbidities, and ICU stay.

conclusionsWe concluded that inflammatory parameters, such as LRCP, SII and NLR, were associated with disease severity and could be used as potentially important risk factors for COVID-19 progression.

Indexed as

COVID-19C-Reactive ProteinAdultCohort StudiesCOVID-19 TestingHumansLymphocytesNeutrophilsRetrospective StudiesSARS-CoV-2C-Reactive Protein

Identifiers

PMID33887100
PMCPMC8250321
OpenAlexW3156281778

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.