Evidence map›Paper›PMID 33596963›Full record

ArticleJournal of translational medicine2021

Combined lymphocyte/monocyte count, D-dimer and iron status predict COVID-19 course and outcome in a long-term care facility.

Flavia Biamonte, Cirino Botta, Maria Mazzitelli, Salvatore Rotundo, Enrico Maria Trecarichi, Daniela Foti, Carlo Torti, Giuseppe Viglietto, Daniele Torella, Francesco Costanzo

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

  1. Immune Dysregulation After COVID-19: Longitudinal Analysis up to 9 Months.International journal of molecular sciences · 2026
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  2. Impact of COVID-19 Booster Vaccination on Serum Redox Homeostasis.International journal of molecular sciences · 2026
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  7. Interleukin-6Clinical and experimental medicine · 2023
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  14. Major trace elements and their binding proteins in the early phase of Covid-19 infection.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2022
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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

10 authors at 2 institutions in 1 country.

Flavia Biamonte *Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
Cirino Botta *Annunziata Hospital, Cosenza, Italy.
Maria MazzitelliUnit of Infectious and Tropical Diseases, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.
Salvatore RotundoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
Enrico Maria TrecarichiUnit of Infectious and Tropical Diseases, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.
Daniela FotiDepartment of Health Sciences, Magna Græcia University of Catanzaro, Catanzaro, Italy.
Carlo TortiUnit of Infectious and Tropical Diseases, Department of Medical and Surgical Sciences, Magna Graecia University, Catanzaro, Italy.
Giuseppe VigliettoDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy.
Daniele TorellaDepartment of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro, Italy. dtorella@unicz.it.ORCID 0000-0002-4915-5084
Francesco CostanzoCenter of Interdepartmental Services (CIS), "Magna Graecia" University of Catanzaro, Catanzaro, Italy.
Magna Graecia University · ITOspedale Annunziata di Cosenza · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe Sars-CoV-2 can cause severe pneumonia with multiorgan disease; thus, the identification of clinical and laboratory predictors of the progression towards severe and fatal forms of this illness is needed. Here, we retrospectively evaluated and integrated laboratory parameters of 45 elderly subjects from a long-term care facility with Sars-CoV-2 outbreak and spread, to identify potential common patterns of systemic response able to better stratify patients' clinical course and outcome.

methodsBaseline white blood cells, granulocytes', lymphocytes', and platelets' counts, hemoglobin, total iron, ferritin, D-dimer, and interleukin-6 concentration were used to generate a principal component analysis. Statistical analysis was performed by using R statistical package version 4.0.

resultsWe identified 3 laboratory patterns of response, renamed as low-risk, intermediate-risk, and high-risk, strongly associated with patients' survival (p < 0.01). D-dimer, iron status, lymphocyte/monocyte count represented the main markers discriminating high- and low-risk groups. Patients belonging to the high-risk group presented a significantly longer time to ferritin decrease (p: 0.047). Iron-to-ferritin-ratio (IFR) significantly segregated recovered and dead patients in the intermediate-risk group (p: 0.012).

conclusionsOur data suggest that a combination of few laboratory parameters, i.e. iron status, D-dimer and lymphocyte/monocyte count at admission and during the hospital stay, can predict clinical progression in COVID-19.

Indexed as

AgedAged, 80 and overBiomarkersCOVID-19FemaleFibrin Fibrinogen Degradation ProductsHumansIronLeukocyte CountLong-Term CareLymphocytesMaleMiddle AgedMonocytesPlatelet CountPrognosisBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DIronClinical outcomeCOVID-19D-dimerIronLong-term care facilitiesLymphocyteMonocyte

Identifiers

PMID33596963
PMCPMC7887565
OpenAlexW3108869804

What OpenQuestion holds

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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.