Evidence map›Paper›PMID 36447933›Full record

ArticleClinical epidemiology and global health

Comparative analysis of clinical and biological characteristics of COVID-19 patients: A retrospective cohort study.

Abir Yahyaoui, Abdessamad Amrani, Amjad Idrissi, Sabrina Belmahi, Oumaima Nassiri, Boutaina Mouhoub, Elhoucine Sebbar, Siham Hamaz, Mohammed Choukri

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology and global health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

9 authors at 1 institution in 1 country.

Abir YahyaouiCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Abdessamad AmraniCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Amjad IdrissiCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Sabrina BelmahiCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Oumaima NassiriCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Boutaina MouhoubCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Elhoucine SebbarCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Siham HamazCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Mohammed ChoukriCentral Laboratory, Mohammed VI University Hospital, Oujda, Morocco.
Mohamed I University · MA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease (COVID-19), caused by a betacoronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has rapidly evolved into a pandemic since it was first reported in December 2019. thus, SARS-CoV-2 has become a major global public health issue. Objective: The objective of this work is to compare demographics, comorbidities, clinical symptoms, biology and imaging findings between severe and non-severe COVID-19 patients and to identify clinical and biological risk factors and biomarkers for the development of severe COVID-19 as well as predictive thresholds for severity in order to best rationalize management and decrease the morbidity and mortality caused by this condition. Patients and methods: This is a single-center retrospective study, from June 25 to December 31, 2021, on 521 patients at the level of the unit COVID-19 of the central laboratory of the Mohammed VI University Hospital Center Oujda, then classified into two groups according to the severity of the disease. Results: Out of a total of 521 patients, a severe group including 336 cases (64.5%) and a non-severe group with 185 cases (35.5%). Hypertension, diabetes and obesity were noted in the majority of patients. Severe COVID-19 cases had higher C-reactive protein, procalcitonin, D-dimer, ferritin, elevated white blood cell count, and lower lymphocyte count than non-severe cases with a significant difference between the two groups. The areas under the curve (AUC) for C-reactive protein, procalcitonin and D-dimer were 0.886, 0.708, and 0.736 respectively. The optimal thresholds predictive of severity were 105 mg/l for C-reactive protein, 0.13 ng/ml for procalcitonin, 7420/μl for white blood cell count, and 0.55 mg/l for D-dimer. Conclusion: Comparison of the proportion of clinical, biological and radiological data between severe and non-severe cases of COVID-19, as well as identification of biomarkers for the development of severe form in the present study, will allow optimal streamlining of management with rapid triage of patients.

Indexed as

BiomarkersCOVID-19Risk factorSARS-CoV-2Severe group

Identifiers

PMID36447933
PMCPMC9691507
OpenAlexW4310076582

What OpenQuestion holds

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Registered trials

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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.