Evidence map›Paper›PMID 35789563›Full record

ArticleDrugs & therapy perspectives : for rational drug selection and use2022

Plasma lipid profile: a predictive marker of disease severity among COVID-19 patients-an opportunity for low-income countries.

Yasser O Mosaad, Mohamed A Baraka, Ahmed E Abou Warda, Hayam Ateyya, Mohammed A Hussein, Sayed Gaber

Open access · bronzeAbstract read
In one paragraph

Article in Drugs & therapy perspectives : for rational drug selection and use, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 4 institutions in 2 countries.

Yasser O MosaadPharmacy Practice and Clinical Pharmacy Department, Faculty of Pharmacy, Future University, Cairo, Egypt.
Mohamed A BarakaClinical Pharmacy Program, College of Pharmacy, Al Ain Campus, Al Ain University, P.O. Box 64141, Al Ain, Abu Dhabi United Arab Emirates.ORCID 0000-0002-7645-2420
Ahmed E Abou WardaClinical Pharmacy Department, Faculty of pharmacy, October 6 University, P.O. Box 12585, Giza, Egypt.
Hayam AteyyaPharmacy Practice and Clinical Pharmacy Department, Faculty of Pharmacy, Future University, Cairo, Egypt.
Mohammed A HusseinFaculty of Applied Medical Sciences, October 6 University, Giza, Egypt.
Sayed GaberCritical Care Medicine Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
Cairo University · EGOctober 6 University · EGAl Ain University · AEFuture University in Egypt · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to assess the correlation between body mass index (BMI) and plasma lipid profile levels in mild and severe COVID-19 patients. Method: This was a prospective, observational, cohort study, conducted in a medical referral center specializing in management of COVID-19 cases. Patients were divided into two groups according to infection severity (mild and severe). Blood samples were obtained from all patients who tested positive to a PCR test for measuring biochemical and inflammatory markers such as lactate dehydrogenase, ferritin, C-reactive protein, and d-dimer, as well as lipid profile, including total cholesterol, triacylglycerols, low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), which were analyzed and compared between the two groups. Pearson's correlation was used to assess the correlation between BMI and plasma lipid profile among mild and severe cases. Results: The levels of plasma triacylglycerols, d-dimer, lactate dehydrogenase, ferritin, and C-reactive protein with severe infection were significantly different between patients with mild and severe COVID-19 symptoms ( Conclusion: A routine lipid profile test might help as a marker of inflammation and risk stratification in patients with COVID-19. Especially in middle- or low-income countries, the test can rapidly help clinicians to delineate prognostic measures and hence management and treatment plans for this disease as the levels of the lipid profile were correlated with the patients' BMI and infection severity.

Identifiers

PMID35789563
PMCPMC9244553
OpenAlexW4283585953

What OpenQuestion holds

Textmetadata
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.