Evidence map›Paper›PMID 38202193›Full record

ArticleJournal of clinical medicine2023

Can Haematological Parameters Discriminate COVID-19 from Influenza?

Sahar Gnaba, Dmitry Sukhachev, Tiffany Pascreau, Félix Ackermann, Frédérique Delcominette, Florence Habarou, Aurélie Védrenne, Emilie Jolly, Elena Sukhacheva, Eric Farfour and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 75% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 3 institutions in 2 countries.

Sahar GnabaBiology Department, Foch Hospital, 92150 Suresnes, France.
Dmitry SukhachevLabTech Ltd., Saint-Petersburg 195027, Russia.
Tiffany PascreauBiology Department, Foch Hospital, 92150 Suresnes, France.
Félix AckermannDepartment of Internal Medicine, Foch Hospital, 92150 Suresnes, France.
Frédérique DelcominetteBiology Department, Foch Hospital, 92150 Suresnes, France.
Florence HabarouBiology Department, Foch Hospital, 92150 Suresnes, France.
Aurélie VédrenneBiology Department, Foch Hospital, 92150 Suresnes, France.
Emilie JollyBiology Department, Foch Hospital, 92150 Suresnes, France.
Elena SukhachevaBeckman Coulter Eurocenter, 1260 Nyon, Switzerland.
Eric FarfourBiology Department, Foch Hospital, 92150 Suresnes, France.ORCID 0000-0003-3243-8018
Marc VasseBiology Department, Foch Hospital, 92150 Suresnes, France.ORCID 0000-0002-8784-7209
Hôpital Foch · FRInserm · FRKintech Lab (Russia) · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Symptoms of COVID-19 are similar to the influenza virus, but because treatments and prognoses are different, it is important to accurately and rapidly differentiate these diseases. The aim of this study was to evaluate whether the analysis of complete blood count (CBC), including cellular population (CPD) data of leukocytes and automated flow cytometry analysis, could discriminate these pathologies. In total, 350 patients with COVID-19 and 102 patients with influenza were included between September 2021 and April 2022 in the tertiary hospital of Suresnes (France). Platelets were lower in patients with influenza than in patients with COVID-19, whereas the CD16

Indexed as

B-lymphocytesCD16pos monocytescellular population datacomplete blood countCOVID-19influenzalogistic regression modelrespiratory syncytial virus

Identifiers

PMID38202193
PMCPMC10780240
OpenAlexW4390348318

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.