Evidence map›Paper›PMID 36556258›Full record

ArticleJournal of personalized medicine2022

The Value of Early and Follow-Up Elevated Scores Based on Peripheral Complete Blood Cell Count for Predicting Adverse Outcomes in COVID-19 Patients.

Andrei-Costin Chelariu, Adorata Elena Coman, Catalina Lionte, Victoria Gorciac, Victorita Sorodoc, Raluca Ecaterina Haliga, Ovidiu Rusalim Petris, Cristina Bologa, Gabriela Puha, Alexandra Stoica and 4 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  4. Replacement Therapy with Blood Products in People Living with HIV.Tropical medicine and infectious disease · 2024
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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

14 authors at 3 institutions in 1 country.

Andrei-Costin ChelariuHematology Department, Regional Institute of Oncology, 700483 Iasi, Romania.
Adorata Elena ComanSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0002-6348-2954
Catalina LionteSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0002-0525-0645
Victoria GorciacInternal Medicine Department, "Grigore T. Popa" University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.ORCID 0000-0002-5132-289X
Victorita SorodocSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0003-1721-2360
Raluca Ecaterina HaligaSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0002-4674-5580
Ovidiu Rusalim PetrisInternal Medicine Department, "Grigore T. Popa" University of Medicine and Pharmacy Iasi, 700115 Iasi, Romania.
Cristina BologaSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.
Gabriela PuhaSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0002-0939-8241
Alexandra StoicaSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0002-5024-3030
Mihai ConstantinSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.
Oana SirbuSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0003-3994-2356
Alexandr CeasovschihSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.ORCID 0000-0002-0043-9051
Laurentiu SorodocSecond Internal Medicine Clinic, "Sf. Spiridon" Emergency Clinical County Hospital, 700111 Iasi, Romania.
Grigore T. Popa University of Medicine and Pharmacy · ROClinical Emergency Hospital Bucharest · ROInstitutul Regional de Oncologie · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The ongoing COVID-19 pandemic has put a constant strain on hospital resources, so there is a dire need for investigation methods that are widely available and that can predict mortality and the need for critical care. Hematological indices, which can be easily calculated from a complete blood count (CBC), are useful in determining a patient’s inflammatory response to infectious diseases. Aim: This was a prospective cohort study that aimed to assess the prognostic value of scores based on CBCs in hospitalized patients with mild or moderate COVID-19 and medical comorbidities regarding the need for intensive care unit (ICU) therapy and short-term mortality. Methods: We included 607 patients with confirmed COVID-19, followed up for the need for ICU admission (15.5%) and 30 day mortality post-discharge (21.7%). CBC-derived scores were tested upon emergency department (ED) admission and after a median of 8 days. Results: In a multivariate model, elevated followed-up neutrophil-to-lymphocyte ratio (NLR) predicted increased odds for ICU admission (OR: 1.14 [95%CI: 1.06−1.22], p < 0.001) and short-term mortality (OR: 1.30 [95%CI: 1.09−1.57], p = 0.005). Monocyte-to-lymphocyte ratio (MLR) predicted 2.5-fold increased odds for ICU admission and 2.2-fold increased odds for mortality. Conclusion: NLR and MLR followed up 8 days post-admission are predictive for adverse outcomes in mild or moderate COVID-19 patients.

Indexed as

COVID-19critical caremonocyte-to-lymphocyte rationeutrophil-to-lymphocyte ratiooutcomeshort-term mortality

Identifiers

PMID36556258
PMCPMC9781715
OpenAlexW4311132112

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.