Evidence map›Paper›PMID 35949002›Full record

ArticleJournal of clinical laboratory analysis2022

Platelet-derived immuno-inflammatory indices show best performance in early prediction of COVID-19 progression.

Jelena Milenkovic, Boris Djindjic, Branka Djordjevic, Vladana Stojiljkovic, Dijana Stojanovic, Stana Petrovic, Ivan Matejic

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Jelena MilenkovicDepartment of Pathophysiology, Faculty of Medicine University of Nis, Nis, Serbia.ORCID https://orcid.org/0000-0002-0257-0109
Boris DjindjicDepartment of Pathophysiology, Faculty of Medicine University of Nis, Nis, Serbia.ORCID https://orcid.org/0000-0002-6772-2986
Branka DjordjevicDepartment of Biochemistry, Faculty of Medicine University of Nis, Nis, Serbia.ORCID https://orcid.org/0000-0002-4521-1253
Vladana StojiljkovicDepartment of Biochemistry, Faculty of Medicine University of Nis, Nis, Serbia.ORCID https://orcid.org/0000-0002-2862-5665
Dijana StojanovicDepartment of Pathophysiology, Faculty of Medicine University of Nis, Nis, Serbia.ORCID https://orcid.org/0000-0003-1659-0036
Stana PetrovicClinic of Neurology, University Clinical Center of Nis, Nis, Serbia.
Ivan MatejicClinic of Thoracic Surgery, University Clinical Center of Nis, Nis, Serbia.
University of Nis · RS

Funding

Ministarstvo Prosvete, Nauke i Tehnoloscaron;kog Razvoja 451-03-68/2022-14/200113Ministry of Education, Science and Technological Development
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) profoundly affects the immune and hematopoietic systems with various degrees of reactive changes in the blood cell counts. Immuno-inflammatory indices are considered a simple and effective tool in the prediction of COVID-19 outcomes. We aimed to evaluate and compare the usefulness of leukocyte and platelet counts-based immuno-inflammatory indices on admission to hospital in predicting COVID-19 progression and mortality.

methodsA total of 945 patients were enrolled. In addition to blood cell counts, we assessed hemogram-derived immuno-inflammatory indices in relation to COVID-19 progression and death. The indices were tested by analysis of variance, receiver operating characteristic curve analysis, and binomial logistic regressions.

resultsPatients with severe COVID-19 had significantly higher counts of neutrophils, eosinophils, and large immature cells (LIC), while decreased counts of platelets and monocytes. Lymphopenia was found in all of the patients, but without significant association with the outcomes. Patients with a LIC count ≥0.265 x 0

conclusionIndices that include platelet count in combination with neutrophil and/or lymphocyte counts displayed the best discriminatory ability and prognostic value of COVID-19 outcomes. Additionally, LIC showed promising results in the early identification of severe COVID-19.

Indexed as

COVID-19HumansLeukocyte CountLymphocyte CountLymphocytesNeutrophilsPlatelet CountPrognosisRetrospective StudiesROC Curvelymphoid and myeloid progenitor cellslymphopenianeutrophilssevere acute respiratory syndrome coronavirus 2thrombocytopenia

Identifiers

PMID35949002
PMCPMC9459290
OpenAlexW4290973359

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.